Skip to main content
  • Other Publications
  • Subscribe
  • Contact Us
Advertisement
JCORE Reference
this is the JCORE Reference site slogan
  • Home
  • Most Read
  • About Us
    • About Us
    • Editorial Board
  • More
    • Advertising
    • Alerts
    • Feedback
    • Folders
    • Help
  • Patients
  • Reference Site Links
    • View Regions
  • Archive

Variation and Variability: Key Words in Human Motor Development

Mijna Hadders-Algra
DOI: 10.2522/ptj.20100006 Published 1 December 2010
Mijna Hadders-Algra
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
  • PDF
Loading

Abstract

This article reviews developmental processes in the human brain and basic principles underlying typical and atypical motor development. The Neuronal Group Selection Theory is used as theoretical frame of reference. Evidence is accumulating that abundance in cerebral connectivity is the neural basis of human behavioral variability (ie, the ability to select, from a large repertoire of behavioral solutions, the one most appropriate for a specific situation). Indeed, typical human motor development is characterized by variation and the development of adaptive variability. Atypical motor development is characterized by a limited variation (a limited repertoire of motor strategies) and a limited ability to vary motor behavior according to the specifics of the situation (ie, limited variability). Limitations in variation are related to structural anomalies in which disturbances of cortical connectivity may play a prominent role, whereas limitations in variability are present in virtually all children with atypical motor development. The possible applications of variation and variability in diagnostics in children with or at risk for a developmental motor disorder are discussed.

Human behavior is characterized by variation: each human individual has a large repertoire of motor, cognitive, and social actions that can be arranged in virtually endless combinations. This repertoire allows for a flexible adjustment to changing conditions, including the creation of new solutions.

The wealth of distinctly human behavior is attributed to the neocortex, the part of the brain that expanded greatly during evolution.1,2 For instance, in insectivores such as the hedgehog, the neocortex occupies 10% to 20% of total brain volume, whereas this proportion has risen to about 80% in humans.3 The enlargement of the neocortex has been brought about mainly by expansion of the surface area and not so much by an increase in cortical thickness.2 The expansion of cortical surface allowed for the emergence of new areas (eg, language-related areas) and the extension of the prefrontal cortex and association areas. Interestingly, the volume of the white matter—mostly consisting of cortico-cortical connections—increased more during the evolutionary expansion of the cortex than the volume of gray matter.3,4

The development of the human brain is an intricate and long-lasting process, which is mirrored by a multitude of developmental changes in behavior. The latter include the changes involved in the transformation of non–goal-directed fetal motility into the accurate and goal-directed movements of an adult person, such as those involved in writing a letter or riding a bike. The aim of this article is to discuss putative mechanisms and principles underlying developmental changes in motor behavior. Particular attention is paid to the notions of “variation” and “variability.” The article starts with a short overview of the ontogeny of the human brain. Sections on theoretical considerations and typical and atypical motor development follow. The emphasis is on the early phases of development and the Neuronal Group Selection Theory (NGST) is used as a frame of reference. The NGST was chosen because it highlights that variation and variability are key elements of typical development. Variation implies the presence and expression of a broad repertoire of behaviors for a specific motor function. Variability denotes the capacity to select from the repertoire the motor strategy that fits the situation best. The article concludes with possible applications of variation and variability in diagnostics in infants with or at risk for a developmental motor disorder.

Development of the Human Brain

The development of the human brain, and in particular, that of the neocortical circuitries, lasts about 4 decades.5 It starts during the early phases of gestation with the proliferation of neurons. The majority of telencephalic neurons are produced in the germinal layers near the ventricles.2,6 Once neurons have been generated, they move from their place of origin to their final destination, the cortical plate.6,7 Before the cortical plate is formed, however, neurons halt in the subplate. The subplate is a temporary layer between the ventricular zones plus intermediate zone (the future white matter) and the cortical plate.8 The subplate emerges in early fetal life, is thickest at around 29 weeks postmenstrual age (PMA), and disappears gradually until it is absent at around 6 months postterm.9,10 The major proportion of its afferent and efferent connections run through the (future) periventricular white matter. The subplate mediates fetal behavior.

Neurons start to differentiate during migration and during their stay in the subplate. Neuronal differentiation includes the formation of dendrites and axons, the production of neurotransmitters and synapses, and the elaboration of the intracellular signaling machinery and complex neural membranes.11,12 The process of differentiation is particularly active in the few months prior to birth and the first postnatal months, but it takes many years before the adult state of differentiation is achieved.5 Besides neural cells, glial cells are generated. The peak of glial cell production occurs in the second half of gestation. Some of the glial cells take care of axonal myelination. Myelination takes place especially between the second trimester of gestation and the end of the first postnatal year. Thereafter, myelination continues till the age of about 40 years, when the last intracortical connections complete myelination.13

Brain development consists not only of creation of components, but also of an elimination of elements. About half of the created neurons die off by means of apoptosis. Apoptosis is brought about by interaction between endogenous programmed processes and chemical and electrical signals induced by experience14; it occurs in particular during mid-gestation.5 Similarly, axons and synapses are eliminated, the latter especially between the onset of puberty and early adulthood. As a result, the adult level of synaptic density in the cortex is reached first in early adulthood.5

For a long time, it had been debated whether brain development is driven by endogenous processes or by external input. Gradually, however, it became clear that genetic instruction (“nature”) and environmental information (“nurture”) both play an important role, albeit with different weights during different phases of development. In the early phases, the role of the genome dominates; later on, environment and experience become crucial. The importance of genetic instruction in early development is reflected by animal studies that indicated the primary cortical areas, their connections, their modular organization, and their size are largely determined by differential gene expression in the neural stem cells.1,15 Thus, the genetically specified areas attract specific inputs instead of inputs specifying the areas.2 This means that the functional topography of the brain is primarily driven by genetic instruction (ie, the fact that occipitally located neurons virtually always become involved in the processing of visual information and frontally located networks in activities such as planning and attention). A primary genetic determination, however, does not preclude variation, as each individual has his or her own sets of genes. Moreover, the primary genetic determination is only the starting point for epigenetic cascades, allowing for abundant interaction with the environment and activity-dependent processes.16–18 Note that the interaction is bidirectional: experience affects gene expression, and genes affect how the environment is experienced.18

Virtually all of the neurodevelopmental processes described above are affected by experience, including motor experience. Animal studies have demonstrated that the effect depends on the type of experience (eg, specific versus generalized motor experience), the age at exposure, the individual's sex, and the neural area.18,19 Experience may affect, for instance, apoptosis, axon retraction, synapse elimination, and synapse formation.19–21 It may even affect the somatotopic organization of the primary motor cortex, as was indicated by the recent human study by Stoeckel et al.22 This imaging study revealed that the motor “foot” representation in individuals with congenitally compromised hand function and compensatory skillful foot use had extended beyond the classical foot area into the vicinity of the lateral hand area.

Theoretical Considerations

Various Theoretical Frameworks

Despite increasing knowledge of the developmental processes in the human brain, our understanding of the neural mechanisms underlying motor development is limited. As a result, multiple theories of motor development have been produced, all aiming to facilitate the understanding of typical and atypical motor development. During the major part of the previous century, motor development basically was regarded as an innate, maturational process,23,24 but during the century's last 2 decades, it became increasingly clear that motor development is largely affected by experience.

Currently, 2 theoretical frameworks are most popular: dynamic systems theory25–27 and NGST.28,29 The frameworks share the opinion that motor development is a nonlinear process with phases of transition that is affected by many factors. The factors may vary from features of the child to external influences such as housing conditions, the presence of stimulating caregivers, and the presence of toys. In other words, both theories acknowledge the importance of experience and the relevance of context. The 2 theories differ, however, in their opinion on the role of genetically determined neurodevelopmental processes. Genetic factors play only a limited role in dynamic systems theory, whereas genetic endowment, epigenetic cascades, and experience play equally prominent roles in NGST.28,29 In the following paragraphs, I will use the NGST framework to discuss principles of typical and atypical motor development.

NGST and Typical Motor Development

The NGST was developed by Gerald Edelman. He described motor development as characterized by 2 phases of variability: primary and secondary.28,29 The borders of variability are determined by genetic instructions.1,15 During the phase of primary variability, motor behavior is characterized by abundant variation. The variation is brought about by explorative activity of the nervous system. The system explores all motor possibilities. The exploration generates a wealth of self-produced afferent information, which, in turn, is used for further shaping of the nervous system. The exploration reflects the continuous, dynamic interaction between genes and experience, including experience with changing body proportions. Initially, however, the afferent information is not used for adaptation of motor behavior to environmental constraints. In other words, the phase of primary variability is characterized by variation in motor behavior and the absence of the ability to adapt the various movement possibilities to the specifics of the situation (ie, by the absence of variability in sensu strictu, as defined in the introduction of the article).24

At a certain point in time, the nervous system starts to use the afferent information produced by behavior and experience for selection of the motor behavior that fits the situation best: the phase of secondary or adaptive variability starts. Hitherto, the mechanisms underlying the shift from primary variability to secondary variability are not understood. The process of selection, which is characteristic of variability and thus the phase of secondary variability, is based on active trial-and-error experiences that are unique to the individual.30–32 Indeed, evidence is accumulating that self-produced sensorimotor experience plays a pivotal role in motor development.31,33–35

To determine whether a movement is most adaptive, reference values are used that most likely are function specific. The solution that is selected is specific for the situation and the infant's stage of development. For instance, in sitting infants whose balance is perturbed, information linked to the stability of the head in space is used to select the postural adjustment in which most of the so-called direction-specific postural muscles are recruited (the en bloc pattern).36 Selection of the en bloc pattern depends on the degree of balance perturbation—the pattern is recruited more often during large perturbations than during small perturbations—and the age of the child.36,37 Children select the en bloc pattern during marked perturbations of balance especially often between the ages of 9 months and 2½ years. Thereafter, similar perturbations of balance are associated with child-specific postural adaptations in which fewer direction-specific muscles are recruited.37

The process of learning to select the most appropriate motor solution in a specific situation is based on implicit motor learning and does not involve conscious decision making. It occurs at various interdependent levels of neural organization. Animal data indicate that at the cellular level, selection is mediated by changes in synaptic strength, in which the topology of the cells38 and the presence or absence of coincident electrical activity in presynaptic and postsynaptic neurons play a role.39,40 In terms of the organization of motor control, selection occurs at the level of motor strategies and at the level of temporal and quantitative tuning of motor output.36 Recent neurophysiological data indicated that the basal ganglia might play a major role in the selection of motor strategies (ie, in motor sequence learning),32,41 whereas the cerebellum might be the key structure involved in the selection of situation-specific temporal and quantitative parameters of motor output (ie, accurate motor adaptation).42,43 The idea that frontostriatal circuitries play a role in the selection of motor strategies is supported by a recent birth cohort study by Murray et al.44 The study indicated that an earlier development of the ability to stand independently—which might be interpreted as an earlier ability to select an appropriate strategy to keep balance in upright stance—was associated with better executive functions in adulthood. The association was specific for executive functions, which are subserved by frontostriatal circuitries; other cognitive functions such as verbal and visual learning, which are more closely related to temporal cortex function, were not related to an earlier development of standing.

The transition from primary variability to secondary variability occurs at function-specific ages. For instance, in the development of sucking behavior, the phase of secondary variability starts prior to term age45; in the development of postural adjustment, it emerges after the age of 3 months46,47; and in the development of foot placement during walking, it starts between 12 and 18 months.48 The age at which adaptive behavior first can be observed depends on the method of investigation. For instance, with the application of electromyographic recordings, the first signs of adaption in postural behavior during sitting may be observed at the age of 4 months,46 but when simple behavioral observation is used, signs of adaptive sitting behavior are first detected from 6 months onward.49 Around the age of 18 months, all basic motor functions, such as sucking, reaching, grasping, postural control, and locomotion, have reached the first stages of secondary variability. Due to the ingenious interaction between self-produced motor activities with trial-and-error learning and the long-lasting developmental processes in the brain, such as dendritic refinement, myelination, and extensive synapse rearrangement,5 which furnish new neuromotor possibilities, it takes until late adolescence before the secondary neural repertoire has obtained its adult configuration. In other words, the basic, variable motor repertoire that is formed during the phase of primary variability continues to develop during the phase of secondary variability and to change throughout life.

The ongoing developmental changes in the nervous system, which are based on a never-ending interaction between experience and genetic information, allow for increasingly precise and complex motor skills, which may be regarded as refinements of the basic, variable repertoire. As a result, adult human beings are equipped with a variable movement repertoire with an efficient motor solution for each specific situation.

NGST and Atypical Motor Development

Atypical motor development may originate from genetic aberrations or adversities occurring during early development. Both etiological pathways may result in a structural anomaly or lesion of the developing brain or in a different setting of specific neurotransmitter systems, such as the monoaminergic systems. Accumulating evidence indicates that stressful situations in the prenatal and perinatal periods may induce lifetime changes in dopaminergic, serotonergic, or noradrenergic circuitries.50 The monoaminergic systems are widespread systems involved in the modulation of behavior.51 The 2 sequelae—the lesion of the brain and the different setting of the monoaminergic systems—will be discussed as different entities, but it should be kept in mind that lesions of the immature brain often are associated with changes in specific neurotransmitter systems.52

The best example of atypical motor development due to an early lesion of the brain is the motor development of children with cerebral palsy (CP). Other examples are some children with developmental coordination disorder and some children with attention deficit hyperactivity disorder. It is important to note, however, that in general developmental coordination disorder and attention deficit hyperactivity disorder cannot be attributed to a lesion of the brain.53 In the following paragraphs, CP is used as a prototype to describe the motor sequelae of a lesion occurring in the fetal or infant brain.54

NGST and an Early Lesion of the Brain

According to NGST, an early lesion of the brain has 2 major consequences.55 First, the repertoire of motor strategies is reduced.56–59 This reduced repertoire results in less variable and more stereotyped motor behavior (ie, in reduced variation during both phases of variability). The limited repertoire may result in the absence of a specific motor strategy, which would be available as the best solution in a specific situation for a child with typical development. As a consequence of the absence of the “best” solution, the child with CP may have to choose a motor solution that differs from that of the child with typical development.60 This situation implies that the different motor behavior of a child with CP should not always be regarded as deviant (ie, as something that deserves to be “treated away”), as it may be the child's best and most adaptive solution for the situation.61 Second, in the phase of secondary variability, children with an early lesion of the brain have problems with selection of the most appropriately adapted strategy out of the repertoire. In other words, they have a limited capacity to vary motor behavior in relation to the specifics of the situation (ie, they have a limited variability).

The deficient capacity to select has a dual origin: it is related to deficits in the processing of sensory information that are virtually always present in children with an early lesion of the brain62–67 and to the fact that the best solution may not be available due to repertoire reduction. The difficulties in selection have 2 practical consequences. First, impaired selection may give rise to the paradoxical finding that results of motor tests of children with CP often are more variable than those of children with typical development.67,68 The variable test results are brought about by prolonged periods of trial and error needed to explore the reduced repertoire due to impaired selection. This consequence means that a reduced repertoire may be associated with more variable motor output. Second, impaired selection induces the need of ten- to hundredfold more active motor experience than typically needed to find the best strategy.69,70 Consequentially, children with CP need considerably more practice than their peers without CP to learn a specific motor task.

Recall that exploratory drive is a fundamental feature of the typically developing nervous system. As a result, young infants spontaneously generate a wealth of everyday motor practice.35 The child with CP needs much more practice. In addition, the brain lesion responsible for CP may be associated with reduced exploratory drive.54 This reduced exploratory drive creates a challenging situation for the child with CP and his or her environment. The need for much practice requires strong motivation, which is obtained most easily when tasks to be learned have functional significance or are enjoyable.

NGST and an Altered Setting of Monoaminergic Systems

Adversities prior to term age, such as low-risk preterm birth, intrauterine growth retardation, or psychological stress of the pregnant woman, may give rise to a different setting of the monoaminergic systems in the absence of a lesion of the brain. Most of our knowledge about the effect of stressful conditions during early life on the developing brain is based on animal data.50 The animal data indicate that stress during early life gives rise to changes in serotonergic and noradrenergic activity in the cerebral cortex and alterations in dopaminergic activity in the striatum and prefrontal cortex.71 These changes have been associated with impaired development of the maps of body representation in the primary somatosensory cortex, inappropriately developed ocular dominance columns in the visual cortex, and mild motor problems.72–74 In terms of NGST, this impaired development may reflect a situation in which the child has a typical movement repertoire but has difficulties in selecting the best strategy in a specific situation due to the deficits in processing of sensory information. In other words, the child has an impaired ability to vary motor behavior—an impaired variability—in relation to task-specific requirements. As a result, the child often exhibits more variable behavior during motor tests and needs more practice—and thus more time—to learn new motor skills. Indeed, such mechanisms appear to play a role in the frequently encountered impaired motor development of preterm children without cerebral palsy.59,75,76

Early Phases of Motor Development

Typical Motor Development

Non–goal-directed motility.

A recent, detailed ultrasound study on the emergence of fetal motility revealed that the earliest movements can be observed at the age of 7 weeks 2 days PMA.77 The first movements are slow, small, sideways bending movements of head or trunk. A few days later, these simple movements develop into movements in which 1 or 2 arms or legs also participate, but the movements continue to be slow, small, simple, and stereotyped. At the age of 9 to 10 weeks PMA, general movements (GMs) emerge (ie, movements in which all parts of the body participate). Initially, GMs show little variation in movement direction, amplitude, and speed. After a few days, however, the majority of GMs show a substantial degree of variation in speed, amplitude, participating body parts, and movement direction. Interestingly, the emergence of GMs with movement variation and complexity at 9 to 10 weeks PMA coincides with the emergence of synaptic activity in the cortical subplate.78 This coincidence and the finding that the evolution and transient nature of the subplate match that of GM development inspired the hypothesis that variable and complex GMs result from activity of the subplate modulating the basic activity of GM networks in the spinal cord and brain stem.79

Soon after the emergence of the first movements, other movements are added to the fetal repertoire, such as isolated arm and leg movements, startles, various movements of the head (rotations, anteflexion, and retroflexion), stretches, periodic breathing movements, and sucking and swallowing movements.80 The age at which the various movements develop shows considerable interindividual variation, but at about 16 weeks PMA, all fetuses exhibit the entire fetal repertoire. The repertoire continues to be present throughout gestation.

At birth, be it term or preterm, only minor changes in the motor repertoire occur. Breathing movements become continuous instead of periodic, the Moro reaction can be elicited for the first time, and the infant, who is now hampered by the forces of gravity, is no longer able to anteflex the head in a supine position.81 General movements continue to be the most frequently observed motor pattern.

Between 2 and 4 months postterm, infant behavior changes drastically. The infant is able to use smiles and pleasure vocalizations in social interaction, the head can be stabilized on the trunk, and a steady visual fixation and brisk visual orienting reactions have been developed.81 Simultaneously, GM activity is about to disappear and to be replaced gradually by goal-directed activity of arms and legs. Interestingly, the final phase of GMs, which occurs at 2 to 4 months postterm, is characterized by a specific movement property: the “fidgety” nature of GMs. The fidgety character denotes the presence of a continuous stream of tiny, elegant movements occurring irregularly all over the body.58 Functional neuroimaging studies suggest that increasing activity in the basal ganglia, the cerebellum, and the parietal, temporal, and occipital cortices plays a prominent role in the behavioral transition at 2 to 4 months.82

Goal-directed motility.

The development of goal-directed behavior during infancy is characterized by intraindividual and interindividual variation.55,57,83,84 The variation occurs, for instance, as variation in the emergence of a function, variation in the performance of a function (Figs. 1 and 2), variation in the duration of specific developmental phases, and variation in the disappearance of infantile reactions, such as the Moro reaction. The variation in development includes the co-occurrence of different developmental phases. For instance, infants of a certain age can alternate belly crawling with crawling on hands and knees.83,85 Infants with typical development also may exhibit a temporary regression—an “inconsistency”—in the development of a specific function.83 As long as the regression is restricted to a single function, it can be regarded as another expression of developmental variation. Large variation in the attainment of milestones in goal-directed motor behavior (Fig. 3) implies that the assessment of milestones has less clinical value than previously was thought.86 Slow development of a single function usually has no clinical significance, but the finding of a general delay is clinically relevant.

Figure 1.
Figure 1.

Variation in motor behavior in a supine position at 8 months postterm. The figure consists of frames selected from a videorecording of about 3 minutes. Figure produced with permission of the parents.

Figure 2.
Figure 2.

Variation in motor behavior in a sitting position at 11 months postterm. The figure consists of frames selected from a videorecording of about 3 minutes. Figure produced with permission of the parents.

Figure 3.
Figure 3.

Schematic representation of the ages at which some motor skills emerge during infancy. The length of the bars reflect the interindividual variation. Adapted from Touwen.83

Infancy is the period of transition from primary variability to secondary variability (ie, from motor behavior that cannot be adapted to task-specific conditions to adaptive motor behavior). This transition occurs at function-specific ages. A recent observational study indicated that the transition in sitting behavior occurs between 6 and 10 months, that in abdominal progression occurs between 8 and 15 months, that in reaching movements occurs between 6 and 12 months, and that in grasping occurs between 15 and 18 months.49 These findings mean that after the transition, people observing the infants could notice a change in their motor behavior.

A major accomplishment during infancy is the development of postural control, resulting in the ability to stand and walk without support.87 Postural control is aimed primarily at the maintenance of a vertical posture of head and trunk against the forces of gravity because a vertical orientation of the proximal parts of the body provides an optimal condition for vision- and goal-directed motility.88 In the control of posture, 2 functional levels can be distinguished. The basic level of control deals with the directional specificity of the adjustments: when the body sways forward, primarily the dorsal muscles are recruited; when the body sways backward, primarily the ventral muscles are activated.89 A study by Hedberg et al90 indicated that 1-month-old infants have direction-specific adjustments, which suggests that the basic level of postural control has an innate origin. Young infants show a variable repertoire of direction-specific adjustments from which, from the age of 4 months onward, they learn to select by means of active trial and error the adjustment that fits the situation best.46 Meanwhile, the infant learns to sit independently. With increasing age, the means to adapt postural activity become increasingly refined. A major developmental change is the emergence of anticipatory postural activity between 12 to 14 months, an ability that strongly promotes the development of independent walking.87

Successful reaching is preceded by various forms of prereaching activity.91 For instance, Von Hofsten92 demonstrated that newborn infants move their hands closer to a nearby object when they visually fixate on it, than when they do not pay visual attention to the object. Reaching results in actual grasping of an object from about 4 months onward.93 At this age, reaching movements have an irregular and fragmented trajectory consisting of multiple movement units. These characteristics underline the probing nature of early reaches and the heavy reliance of the first reaching movements on feedback control mechanisms.93 During the following months, the reaching movement becomes increasingly fluent and straight, and the orientation of the hand becomes increasingly adapted to the object.94 After their first birthday, infants increasingly use the pincer grasp to pick up tiny objects. This change in behavior implies that corticomotoneuronal pathways are being involved increasingly in fine motor control.95

At birth, the infant—like the fetus—shows locomotor-like behavior in the form of neonatal stepping movements.96 These movements probably are generated by spinal pattern generators analogous to the locomotion in the hind limbs of kittens after a transection of the thoracic cord and the locomotor-like activity in people with a spinal cord injury.96 The infant stepping movements are rather primitive in character and differ from the flexible plantigrade gait of adulthood.97 This non–goal-directed neonatal stepping is characterized by a lack of segment-specific movements, implying that the legs tend to flex and extend as a single unit; by the absence of a heel-strike; by a variable muscle activation with a high degree of antagonistic coactivation; and by short-latency bursts of electromyographic activity at the foot contact due to segmental reflex activity.96,97 In the absence of specific training, the stepping movements can no longer be elicited after the age of 2 to 3 months.83

A period of locomotor silence follows, which is succeeded in the third quarter of the first postnatal year by goal-directed progression in the form of crawling and supported locomotion. When neonatal stepping is trained daily, the stepping response can be elicited until it is replaced by supported locomotion.98 This progression is perhaps not so surprising in light of the fact that the locomotor pattern of supported locomotion is reminiscent of that of neonatal stepping—both lacking the determinants of plantigrade gait.97 In addition, the milestone transition into independent walking is not associated with a major change in specific locomotor activity. This finding indicates that the emergence of independent locomotion is not primarily induced by changes in the locomotor networks. Presumably, the development of independent walking is largely dependent on the development of postural control,99 which, in turn, is dependent in particular on developmental changes in the subcortical-cortical circuitries.96

Motor development beyond infancy is characterized by a gradual increase in agility, adaptability, and the ability to make complex movement sequences. It is the phase of secondary variability, during which maturational processes in continuous interaction with changing body proportions and experience produce highly adaptive secondary neuronal repertoires.24,28 The creation of secondary repertoires is associated with extensive synapse rearrangement, which is the net result of synapse formation and synapse elimination.5 It is facilitated by increasingly shorter processing times, which can be attributed, in part, to ongoing myelination.100

Atypical Motor Development

Developmental changes in the young brain have a large impact on the expression of atypical motor behavior. It may happen that a lesion of the developing brain results in neuromotor dysfunction in infancy but is followed by a typical developmental outcome. The reverse may also occur (ie, an apparently typical development in the early phases of infancy may be followed by the development of CP).58

In infancy, atypical motor development may be expressed by a delay in the achievement of milestones (which may be related to impaired selection), by mild or major deviations in muscle tone (velocity-dependent resistance to stretch), by a persistence of infantile reactions (eg, the Moro reaction), and by a reduced variation in motor behavior. The latter sign may be the most specific expression of an early lesion of the brain,55,58,101 whereas the other signs may be the result of a lesion of the brain but also may be related to other types of adversities during early development, such as low-risk preterm birth.102–104 Reduced variation in motor behavior is well expressed in the quality of GMs: abnormal GMs are characterized by limited variation and limited complexity. Interestingly, definitely abnormal GMs are related to white matter pathology and not to abnormalities of the brain's gray matter.79,105 Furthermore, beyond the age of 4 months, when GMs have disappeared, atypical motor development is characterized by reduced variation (Figs. 4 and 5). Well-known stereotypies are fisting of the hands, extension of the legs, clawing of the toes, dominant asymmetrical tonic neck reflex posturing, hyperextension of the neck and trunk, or stereotyped asymmetries.106 It has been postulated that the degree to which movement variation is reduced may reflect the extent to which cortical connectivity is impaired.79,107

Figure 4.
Figure 4.

Reduced variation in motor behavior in a supine position at 2 months postterm. The figure consists of frames selected from a videorecording of about 3 minutes. Figure produced with permission of the parents.

Figure 5.
Figure 5.

Reduced variation in motor behavior in sitting at 10 months postterm. The figure consists of frames selected from a videorecording of about 3 minutes. Figure produced with permission of the parents.

Atypical motor development is associated with postural dysfunction. Children with a severe lesion of the brain who develop severe bilateral spastic CP or severe athetosis and function at Gross Motor Function Classification System level V108 presumably lack the basic level of postural control.109 In infants with less-severe forms of CP, the basic level of postural organization is more or less intact. However, their postural development is hampered—and, therefore, delayed—by a limited repertoire of postural adjustments and a deficient capacity to adapt posture to the specifics of the situation.109

Diagnostic Application of Variation and Variability

Gradually, European clinicians working in the field of developmental neurology realized that variation and variability may assist in the evaluation of motor development. However, before addressing the value of these parameters, some general reflections on the significance of the infant neuromotor assessment are necessary. Evaluation of neuromotor function in early life has 2 goals. First and foremost, it aims at assessing the infant's current capacities and limitations, as the assessment offers the basis for therapeutic guidance. Second, an assessment at an early age may assist in the prediction of the infant's developmental prospects. However, as indicated in the preceding paragraphs, the developmental characteristics of the brain preclude precise prediction. Prediction of developmental outcome is best when multiple sources of information are used, such as the infant's history, the results of neuroimaging, and neurophysiological assessments in combination with a neurological, developmental, and neuromotor assessment.110 Prediction also is largely facilitated when longitudinal series of assessments are used.104,111

The various instruments available to evaluate the infant's neuromotor and developmental status have specific aims, advantages, and disadvantages. Most instruments provide information on the child's function in terms of age-adequate performance versus underachievement or delay. Examples are the Bayley Scales of Infant Development112 and the Albert Infant Motor Scales.113 Neurological assessments pair information on motor performance with specific details on sensorimotor function in terms of muscle tone and reflexes.110 The growing awareness that the quality of motor behavior may assist in the evaluation of the child's neuromotor condition inspired the development of 3 new assessment methods; the Test of Infant Motor Performance (TIMP),114 the GM method,58,115 and the Infant Motor Profile (IMP).116 The TIMP and the GM method are applicable till the age of 4 months postterm, whereas the IMP is designed for infants aged 3 to 18 months postterm. In contrast to the other 2 instruments, the TIMP does not use variation or variability as explicit parameters of movement quality. The TIMP has good reliability, and the limited data available suggest that it is a valuable instrument in the prediction of CP.110 The 2 methods using the concepts of variation and variability are discussed below. Variation (ie, the evaluation of the size of the repertoire) is a parameter that may be applied in the phase of primary and secondary variability. Variability (ie, the ability to make an adaptive selection) is particularly relevant from the emergence of secondary variability onward.

The examination of the quality of GMs is a reliable assessment based on the evaluation of movement variation.58,115 General movement assessment does not include the evaluation of variability, as the non–goal-directed GMs do not have a phase of secondary variability.24 In the GM method, 2 aspects of variation are assessed: (1) GM complexity, which denotes the spatial aspect of movement variation, and (2) GM variation, which represents the temporal variation of movements. Definitely abnormal GMs are characterized by a severely reduced movement complexity and variation; in mildly abnormal GMs, complexity and variation are present, but to an insufficient extent.58 The consistent presence of definitely abnormal GMs during the first postnatal months is associated with a very high risk for the development of CP.58,115

The predictive value of single assessments increases with age. Best prediction is achieved with an assessment in the final phase of GMs (ie, in the phase of “fidgety” GMs at around 3 months postterm). In populations of infants who are at risk for CP, definitely abnormal GMs at 3 months are associated with a risk of CP that varies between 25% and 80%,79,115,117 whereas mildly abnormal GMs are associated with an increased risk of minor neurological dysfunction and psychiatric morbidity at school age.118,119 It should be noted, however, that the predictive power of mildly abnormal GMs at 3 months is so low that mildly abnormal GMs as a single sign have no clinical relevance. The recent finding that the predictive value of GM quality is substantially higher in populations of infants who are at risk for CP than in the general population120 supports the idea that the quality of GMs reflects the integrity of cortical connectivity (ie, the integrity of the brain's white matter), as large parts of the brain's white matter are situated in the periventricular area, which is the site of predilection for damage in the preterm period.121

The IMP is a novel instrument that assesses infant motor behavior in 5 domains. Two domains are based on the NGST: size of the repertoire (variation) and ability to select (variability). The other 3 domains evaluate more traditional aspects of motor behavior: symmetry, fluency, and performance.76,116 The reliability and construct validity of the IMP are good, and its predictive and evaluative power is promising.76,116

Concluding Remarks

Accumulating evidence indicates that abundance in cerebral connectivity is the neural basis of human behavioral variability (ie, the ability to select from a large repertoire of behavioral solutions the one most appropriate for a specific situation). Indeed, typical human motor development is characterized by variation and the development of adaptive variability, and atypical motor development is characterized by limitations in variation and variability. Limitations in variation are based on structural anomalies, in which disturbances of cortical connectivity may play a prominent role, whereas limitations in variability are present in virtually all children with atypical motor development. In infants with reduced variation, early intervention may aim to enlarge the limited movement repertoire, but animal data indicate that this aim is difficult to achieve.52 This situation implies that—despite intervention—repertoire reduction most likely will remain a feature of the motor behavior of the child with an early lesion of the brain. In such a situation, equipment may offer a proper means to facilitate functional activity and participation.

The limited variability of children with atypical motor development is based on the limited ability to select a strategy out of the movement repertoire due to deficiencies in the processing of sensory information brought about by self-produced actions. This fact suggests that children with limited variability may profit from ample, variable, self-produced, trial-and-error activities.122,123

Footnotes

  • Dr Hadders-Algra acknowledges the technical assistance of Linze J. Dijkstra and Michiel Schrier, MSc, in preparation of the figures and Tineke Dirks, PT, for critical comments on a draft of the manuscript.

  • Received January 7, 2010.
  • Accepted June 24, 2010.
  • © 2010 American Physical Therapy Association

References

  1. ↵
    1. Krubitzer L,
    2. Kaas J
    . The evolution of the neocortex in mammals: how is phenotypic diversity generated? Curr Opin Neurobiol. 2005;15:444–453.
    OpenUrlCrossRefPubMedWeb of Science
  2. ↵
    1. Rakic P
    . Evolution of the neocortex: a perspective from developmental biology. Nat Rev Neurosci. 2009;10:724–735.
    OpenUrlCrossRefPubMedWeb of Science
  3. ↵
    1. Frahm HD,
    2. Stephan H,
    3. Stephan M
    . Comparison of brain structure volumes in insectivora and primates, I: neocortex. J Hirnforsch. 1982;23:375–389.
    OpenUrlPubMedWeb of Science
  4. ↵
    1. Zhang K,
    2. Sejnowski TJ
    . A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci U S A. 2000;97:5621–5626.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. De Graaf-Peters VB,
    2. Hadders-Algra M
    . Ontogeny of the human central nervous system: what is happening when? Early Hum Dev. 2006;82:257–266.
    OpenUrlCrossRefPubMedWeb of Science
  6. ↵
    1. Bystron I,
    2. Blakemore C,
    3. Rakic P
    . Development of the human cerebral cortex: Boulder Committee revisited. Nat Rev Neurosci. 2008;9:110–122.
    OpenUrlCrossRefPubMedWeb of Science
  7. ↵
    1. Métin C,
    2. Vallee RB,
    3. Rakic P,
    4. Bhide PG
    . Modes and mishaps of neuronal migration in the mammalian brain. J Neurosci. 2008;28:11746–11752.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Kostovic I,
    2. Rakic P
    . Developmental history of the transient subplate zone in the visual and somatosensory cortex of the macaque monkey and human brain. J Comp Neurol. 1990;297:441–470.
    OpenUrlCrossRefPubMedWeb of Science
  9. ↵
    1. Kostovic I,
    2. Judas M
    . Prolonged coexistence of transient and permanent circuitry elements in the developing cerebral cortex of fetuses and preterm infants. Dev Med Child Neurol. 2006;48:388–393.
    OpenUrlCrossRefPubMedWeb of Science
  10. ↵
    1. Kostovic I,
    2. Judas M
    . Transient patterns of cortical lamination during prenatal life: do they have implications for treatment? Neurosci Biobehav Rev. 2007;31:1157–1168.
    OpenUrlCrossRefPubMedWeb of Science
  11. ↵
    1. Tessier-Lavigne M,
    2. Goodman CS
    . The molecular biology of axon guidance. Science. 1996;274:1123–1133.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Jan YN,
    2. Jan LY
    . The control of dendrite development. Neuron. 2003;40:229–242.
    OpenUrlCrossRefPubMedWeb of Science
  13. ↵
    1. Sowell ER,
    2. Trauner DA,
    3. Gamst A,
    4. Jernigan TL
    . Development of cortical and subcortical brain structures in childhood and adolescence: a structural MRI study. Dev Med Child Neurol. 2002;44:4–16.
    OpenUrlCrossRefPubMedWeb of Science
  14. ↵
    1. Lossi L,
    2. Merighi A
    . In vivo cellular and molecular mechanisms of neuronal apoptosis in the mammalian CNS. Prog Neurobiol. 2003;69:287–312.
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    1. Polleux F
    . Genetic mechanisms specifying cortical connectivity: let's make some projections together. Neuron. 2005;46:395–400.
    OpenUrlCrossRefPubMedWeb of Science
  16. ↵
    1. Changeux JP
    . Variation and selection in neural function. Trends Neurosci. 1997;20:291–293.
    OpenUrlCrossRefPubMedWeb of Science
  17. ↵
    1. Krubitzer L,
    2. Kahn DM
    . Nature versus nurture revisited: an old idea with a new twist. Prog Neurobiol. 2003;70:33–52.
    OpenUrlCrossRefPubMedWeb of Science
  18. ↵
    1. Diamond A
    . The interplay of biology and the environment broadly defined. Dev Psychol. 2009;45:1–8.
    OpenUrlCrossRefPubMedWeb of Science
  19. ↵
    1. Kolb B,
    2. Forgie M,
    3. Gibb R,
    4. et al
    . Age, experience and the changing brain. Neurosci Biobehav Rev. 1998;22:143–159.
    OpenUrlCrossRefPubMedWeb of Science
  20. ↵
    1. Buss RR,
    2. Sun W,
    3. Oppenheim RW
    . Adaptive roles of programmed cell death during nervous system development. Annu Rev Neurosci. 2006;29:1–35.
    OpenUrlCrossRefPubMedWeb of Science
  21. ↵
    1. Martin JH,
    2. Friel KM,
    3. Salimi I,
    4. Chakrabarty S
    . Activity- and use-dependent plasticity of the developing corticospinal system. Neurosci Biobehav Rev. 2007;31:1125–1135.
    OpenUrlCrossRefPubMedWeb of Science
  22. ↵
    1. Stoeckel MC,
    2. Seitz RJ,
    3. Buetefisch CM
    . Congenitally altered motor experience alters somatotopic organization of human primary motor cortex. Proc Natl Acad Sci U S A. 2009;106:2395–2400.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Gesell A,
    2. Amatruda CS
    . Developmental Diagnosis: Normal and Abnormal Child Development. 2nd ed. New York, NY: Harper & Row; 1947.
  24. ↵
    1. Hadders-Algra M
    . The neuronal group selection theory: an attractive framework to explain variation in normal motor development. Dev Med Child Neurol. 2000;42:566–572.
    OpenUrlCrossRefPubMedWeb of Science
  25. ↵
    1. Thelen E
    . Motor development: a new synthesis. Am Psychol. 1995;50:79–95.
    OpenUrlCrossRefPubMedWeb of Science
  26. ↵
    1. Connolly KJ,
    2. Forssberg H
    1. Ulrich BD
    . Dynamic systems theory and skill development in infants and children. In: Connolly KJ, Forssberg H eds. Neurophysiology and Neuropsychology of Motor Development. Clinics in Developmental Medicine No. 143–144. London, United Kingdom: Mac Keith Press; 1997:319–345.
  27. ↵
    1. Smith LB,
    2. Thelen E
    . Development as a dynamic system. Trends Cogn Sci. 2003;7:343–348.
    OpenUrlCrossRefPubMedWeb of Science
  28. ↵
    1. Edelman GM
    . Neural Darwinism: The Theory of Neuronal Group Selection. Oxford, United Kingdom: Oxford University Press; 1989.
  29. ↵
    1. Edelman GM
    . Neural Darwinism: selection and reentrant signaling in higher brain function. Neuron. 1993;10:115–125.
    OpenUrlCrossRefPubMedWeb of Science
  30. ↵
    1. Greenough WT,
    2. Black JE,
    3. Wallace CS
    . Experience and brain development. Child Dev. 1987;58:539–559.
    OpenUrlCrossRefPubMedWeb of Science
  31. ↵
    1. Hadders-Algra M,
    2. Brogren E,
    3. Forssberg H
    . Training affects the development of postural adjustments in sitting infants. J Physiol. 1996;493(pt 1):289–298.
    OpenUrlPubMedWeb of Science
  32. ↵
    1. Graybiel AM
    . The basal ganglia: learning new tricks and loving it. Curr Opin Neurobiol. 2005;15:638–644.
    OpenUrlCrossRefPubMedWeb of Science
  33. ↵
    1. Bertenthal BI,
    2. Campos JJ,
    3. Kermoian R
    . An epigenetic perspective on the development of self-produced locomotion and its consequences. Curr Dir Psychol Sci. 1994;3:141–145.
    OpenUrl
  34. ↵
    1. Higgins CI,
    2. Campos JJ,
    3. Kermoian R
    . Effect of self-produced locomotion on infant postural compensation to optic flow. Dev Psychol. 1996;32:836–841.
    OpenUrlCrossRef
  35. ↵
    1. Adolph KE
    . Learning in the development of infant locomotion. Monogr Soc Res Child Dev. 1997;62:I–VI, 1–158.
    OpenUrlPubMed
  36. ↵
    1. Hadders-Algra M,
    2. Brogren E,
    3. Forssberg H
    . Ontogeny of postural adjustments during sitting in infancy: variation, selection and modulation. J Physiol. 1996;493(pt 1):273–288.
    OpenUrlPubMedWeb of Science
  37. ↵
    1. Hadders-Algra M,
    2. Brogren E,
    3. Forssberg H
    . Postural adjustments during sitting at preschool age: presence of a transient toddling phase. Dev Med Child Neurol. 1998;40:436–447.
    OpenUrlPubMedWeb of Science
  38. ↵
    1. Nelson PG,
    2. Fields RD,
    3. Yu C,
    4. Liu Y
    . Synapse elimination from the mouse neuromuscular junction in vitro: a non-Hebbian activity-dependent process. J Neurobiol. 1993;24:1517–1530.
    OpenUrlCrossRefPubMedWeb of Science
  39. ↵
    1. Hebb DO
    . The Organization of Behaviour. New York, NY: Wiley; 1949.
  40. ↵
    1. Changeux JP,
    2. Danchin A
    . Selective stabilisation of developing synapses as a mechanism for the specification of neuronal networks. Nature. 1976;264:705–712.
    OpenUrlCrossRefPubMedWeb of Science
  41. ↵
    1. Grillner S,
    2. Hellgren J,
    3. Ménard A,
    4. et al
    . Mechanisms for selection of basic motor programs: roles for the striatum and pallidum. Trends Neurosci. 2005;28:364–370.
    OpenUrlCrossRefPubMedWeb of Science
  42. ↵
    1. Molinari M,
    2. Filippini V,
    3. Leggio MG
    . Neuronal plasticity of the interrelated cerebellar and cortical networks. Neuroscience. 2002;111:863–870.
    OpenUrlCrossRefPubMedWeb of Science
  43. ↵
    1. Doyon J,
    2. Benali H
    . Reorganization and plasticity in the adult brain during learning of motor skills. Curr Opin Neurobiol. 2005;15:161–167.
    OpenUrlCrossRefPubMedWeb of Science
  44. ↵
    1. Murray GK,
    2. Veijola J,
    3. Moilanen K,
    4. et al
    . Infant motor development is associated with adult cognitive categorisation in a longitudinal birth cohort study. J Child Psychol Psychiatry. 2006;47:25–29.
    OpenUrlCrossRefPubMedWeb of Science
  45. ↵
    1. Eishima K
    . The analysis of sucking behaviour in newborn infants. Early Hum Dev. 1991;27:163–173.
    OpenUrlCrossRefPubMedWeb of Science
  46. ↵
    1. Hedberg Å,
    2. Carlberg EB,
    3. Forssberg H,
    4. Hadders-Algra M
    . Development of postural adjustments in sitting position during the first half year of life. Dev Med Child Neurol. 2005;47:312–320.
    OpenUrlCrossRefPubMed
  47. ↵
    1. de Graaf-Peters VB,
    2. Bakker H,
    3. Van Eykern LA,
    4. et al
    . Postural adjustments and reaching in 4- and 6-month-old infants: an EMG and kinematical study. Exp Brain Res. 2007;181:647–656.
    OpenUrlCrossRefPubMedWeb of Science
  48. ↵
    1. Cioni G,
    2. Duchini F,
    3. Milianti B,
    4. et al
    . Differences and variations in the patterns of early independent walking. Early Hum Dev. 1993;35:193–205.
    OpenUrlCrossRefPubMedWeb of Science
  49. ↵
    1. Heineman KR,
    2. Middelburg KJ,
    3. Hadders-Algra M
    . Development of adaptive motor behaviour in typically developing infants. Acta Paediatr. 2010;99:618–624.
    OpenUrlCrossRefPubMedWeb of Science
  50. ↵
    1. Weinstock M
    . Alterations induced by gestational stress in brain morphology and behaviour of the offspring. Progr Neurobiol. 2001;65:427–451.
    OpenUrlCrossRefPubMedWeb of Science
  51. ↵
    1. Holstege G
    . Descending motor pathways and the spinal motor system: limbic and non-limbic components. Prog Brain Res. 1991;87:307–421.
    OpenUrlCrossRefPubMedWeb of Science
  52. ↵
    1. Kolb B,
    2. Gibb R
    . Brain plasticity and recovery from early cortical injury. Dev Psychobiol. 2007;49:107–118.
    OpenUrlCrossRefPubMedWeb of Science
  53. ↵
    1. Hadders-Algra M
    . Two distinct forms of minor neurological dysfunction: perspectives emerging from a review of data of the Groningen Perinatal Project. Dev Med Child Neurol. 2002;44:561–571.
    OpenUrlCrossRefPubMedWeb of Science
  54. ↵
    1. Rosenbaum P,
    2. Paneth N,
    3. Leviton A,
    4. et al
    . A report: the definition and classification of cerebral palsy April 2006 [erratum in Dev Med Child Neurol. 2007;49:480]. Dev Med Child Neurol Suppl. 2007;109:8–14.
    OpenUrlPubMed
  55. ↵
    1. Hadders-Algra M
    . The neuronal group selection theory: promising principles for understanding and treating developmental motor disorders. Dev Med Child Neurol. 2000;42:707–715.
    OpenUrlCrossRefPubMedWeb of Science
  56. ↵
    1. Ingram TTS
    . The neurology of cerebral palsy. Arch Dis Child. 1966;41:337–357.
    OpenUrlFREE Full Text
  57. ↵
    1. Touwen BC
    . How normal is variable, or now variable is normal? Early Hum Dev. 1993;34:1–12.
    OpenUrlCrossRefPubMedWeb of Science
  58. ↵
    1. Hadders-Algra M
    . General movements: a window for early identification of children at high risk for developmental disorders. J Pediatr. 2004;145(2 suppl):S12–S18.
    OpenUrlCrossRefPubMed
  59. ↵
    1. Hadders-Algra M,
    2. Brogren E,
    3. Katz-Salamon M,
    4. Forssberg H
    . Periventricular leukomalacia and preterm birth have different detrimental effects on postural adjustments. Brain. 1999;122(pt 4):727–740.
    OpenUrlAbstract/FREE Full Text
  60. ↵
    1. van der Heide JC,
    2. Fock JM,
    3. Otten B,
    4. et al
    . Kinematic characteristics of postural control during reaching in preterm children with cerebral palsy. Pediatr Res. 2005;58:586–593.
    OpenUrlCrossRefPubMedWeb of Science
  61. ↵
    1. Latash ML,
    2. Anson JG
    . What are “normal movements” in atypical populations? Behav Brain Sci. 1996;19:55–68.
    OpenUrlCrossRefWeb of Science
  62. ↵
    1. Yekutiel M,
    2. Jariwalda M,
    3. Stretch P
    . Sensory deficit in the hands of children with cerebral palsy: a new look at assessment and prevalence. Dev Med Child Neurol. 1994;36:619–624.
    OpenUrlPubMedWeb of Science
  63. ↵
    1. Guzetta A,
    2. Mercuri E,
    3. Cioni G
    . Visual disorders in children with brain lesions: 2. visual impairment associated with cerebral palsy. Eur J Paediatr Neurol. 2001;5:115–119.
    OpenUrlPubMed
  64. ↵
    1. McLaughlin JF,
    2. Felix SD,
    3. Nowbar S,
    4. et al
    . Lower extremity sensory function in children with cerebral palsy. Pediatr Rehabil. 2005;8:45–52.
    OpenUrlPubMed
  65. ↵
    1. Himmelmann K,
    2. Beckung E,
    3. Hagberg G,
    4. Uvebrant P
    . Gross and fine motor function and accompanying impairments in cerebral palsy. Dev Med Child Neurol. 2006;48:417–423.
    OpenUrlCrossRefPubMedWeb of Science
  66. ↵
    1. Gordon AM,
    2. Charles J,
    3. Steenbergen B
    . Fingertip force planning during grasp is disrupted by impaired sensorimotor integration in children with hemiplegic cerebral palsy. Pediatr Res. 2006;60:587–591.
    OpenUrlCrossRefPubMedWeb of Science
  67. ↵
    1. Eliasson AC,
    2. Gordon AM,
    3. Forssberg H
    . Impaired anticipatory control of isometric forces during grasping by children with cerebral palsy. Dev Med Child Neurol. 1992;34:216–225.
    OpenUrlPubMedWeb of Science
  68. ↵
    1. Smits-Engelsman BC,
    2. Rameckers EA,
    3. Duysens J
    . Muscle force generation and force control of finger movements in children with spastic hemiplegia during isometric tasks. Dev Med Child Neurol. 2005;47:337–342.
    OpenUrlCrossRefPubMedWeb of Science
  69. ↵
    1. Valvano J,
    2. Newell KM
    . Practice of a precision isometric grip-force task by children with spastic cerebral palsy. Dev Med Child Neurol. 1998;40:464–473.
    OpenUrlPubMedWeb of Science
  70. ↵
    1. Gordon AM,
    2. Schneider JA,
    3. Chinnan A,
    4. Charles JR
    . Efficacy of a hand-arm bimanual intensive therapy (HABIT) in children with hemiplegic cerebral palsy: a randomized control trial. Dev Med Child Neurol. 2007;49;830–838.
    OpenUrlCrossRefPubMedWeb of Science
  71. ↵
    1. Van den Bergh BR,
    2. Mulder EJ,
    3. Mennes M,
    4. Glover V
    . Antenatal maternal anxiety and stress and the neurobehavioural development of the fetus and child; links and possible mechanisms: a review. Neurosci Biobehav Rev. 2005;29:237–258.
    OpenUrlCrossRefPubMedWeb of Science
  72. ↵
    1. Cases O,
    2. Seif I,
    3. Grimsby J,
    4. et al
    . Aggressive behavior and altered amounts of brain serotonin and norepinephrine in mice lacking MAOA. Science. 1995;268:1763–1766.
    OpenUrlAbstract/FREE Full Text
  73. ↵
    1. Cases O,
    2. Lebrand C,
    3. Giros B,
    4. et al
    . Plasma membrane transporters of serotonin, dopamine, and norepinephrine mediate serotonin accumulation in atypical locations in the developming brain of monoamine oxidase A knock-outs. J Neurosci. 1998;18:6914–6927.
    OpenUrlAbstract/FREE Full Text
  74. ↵
    1. Gu Q,
    2. Singer W
    . Involvement of serotonin in developmental plasticity of kitten visual cortex. Eur J Neurosci. 1995;7:1146–1153.
    OpenUrlCrossRefPubMedWeb of Science
  75. ↵
    1. van der Fits IB,
    2. Flikweert ER,
    3. Stremmelaar EF,
    4. et al
    . Development of postural adjustments during reaching in preterm infants. Pediatr Res. 1999;46:1–7.
    OpenUrlPubMedWeb of Science
  76. ↵
    1. Heineman KR,
    2. La Bastide-van Gemert S,
    3. Fidler V,
    4. et al
    . Construct validity of the Infant Motor Profile: relation with prenatal, perinatal and neonatal risk factors. Dev Med Child Neurol. 2010 Apr 30 [Epub ahead of print].
  77. ↵
    1. Lüchinger AB,
    2. Hadders-Algra M,
    3. van Kan CM,
    4. de Vries JI
    . Fetal onset of general movements. Pediatr Res. 2008;63:191–195.
    OpenUrlCrossRefPubMedWeb of Science
  78. ↵
    1. Supèr H,
    2. Soriano E,
    3. Uylings HB
    . The functions of the preplate in development and evolution of the neocortex and hippocampus. Brain Res Brain Res Rev. 1998;27:40–64.
    OpenUrlCrossRefPubMedWeb of Science
  79. ↵
    1. Hadders-Algra M
    . Putative neural substrate of normal and abnormal general movements. Neurosci Biobehav Rev. 2007;31:1181–1190.
    OpenUrlCrossRefPubMedWeb of Science
  80. ↵
    1. de Vries JI,
    2. Fong BF
    . Normal fetal motility: an overview. Ultrasound Obstet Gynecol. 2006;27:701–711.
    OpenUrlCrossRefPubMedWeb of Science
  81. ↵
    1. Prechtl HFR
    . Continuity of Neural Functions Form Prenatal to Postnatal Life. Clinics in Developmental Medicine No. 94. Oxford, United Kingdom: Blackwell Scientific Publications; 1984.
  82. ↵
    1. Rubinstein M,
    2. Denays R,
    3. Ham HR,
    4. et al
    . Functional imaging of brain maturation in humans using Iodine-123 idoamphetamine and SPECT. J Nucl Med. 1989;30:1982–1985.
    OpenUrlAbstract/FREE Full Text
  83. ↵
    1. Touwen BCL
    . Neurological Development in Infancy. Clinics of Developmental Medicine No. 58. London, United Kingdom: Heinemann Medical Books; 1976.
  84. ↵
    1. Smith BA,
    2. Stergiou N,
    3. Ulrich BD
    . Lyapunov exponent and surrogation analysis of patterns of variability: profiles in new walkers with and without Down syndrome. Motor Control. 2010;14:126–142.
    OpenUrlPubMedWeb of Science
  85. ↵
    1. McGraw MB
    . The Neuromuscular Maturation of the Human Infant, 1943. Reprinted: Classics in Developmental Medicine, No. 4. London, United Kingdom: Mac Keith Press; 1989.
  86. ↵
    1. Capute AJ,
    2. Shapiro BK,
    3. Palmer FB,
    4. et al
    . Cognitive motor interactions: the relationship of infant gross motor attainment to IQ at 3 years. Clin Pediatr (Phila). 1985;24:671–675.
    OpenUrlAbstract/FREE Full Text
  87. ↵
    1. Hadders-Algra M,
    2. Brogren Carlberg E
    1. Hadders-Algra M
    . Development of postural control. In: Hadders-Algra M, Brogren Carlberg E eds. Postural Control: A Key Issue in Developmental Disorders. Clinics in Developmental Medicine No. 179. London, United Kingdom: Mac Keith Press, 2008:22–73.
  88. ↵
    1. Massion J
    . Postural control systems in developmental perspective. Neurosci Biobehav Rev. 1998;22:465–472.
    OpenUrlCrossRefPubMedWeb of Science
  89. ↵
    1. Forssberg H,
    2. Hirschfeld H
    . Postural adjustments in sitting humans following external perturbations: muscle activity and kinematics. Exp Brain Res. 1994;97:515–527.
    OpenUrlPubMedWeb of Science
  90. ↵
    1. Hedberg Å,
    2. Forssberg H,
    3. Hadders-Algra M
    . Postural adjustments due to external perturbations during sitting in 1-month-old infants: evidence for the innate origin of direction specificity. Exp Brain Res. 2004;157:10–17.
    OpenUrlCrossRefPubMedWeb of Science
  91. ↵
    1. Bhat AN,
    2. Galloway JC
    . Toy-oriented changes during early arm movements: hand kinematics. Infant Behav Dev. 2006;29:358–372.
    OpenUrlCrossRefPubMedWeb of Science
  92. ↵
    1. Von Hofsten C
    . Eye-hand coordination in the newborn. Dev Psychol. 1982;18:450–461.
    OpenUrlCrossRefWeb of Science
  93. ↵
    1. von Hofsten C
    . Development of visually directed reaching: the approach phase. Journal of Human Movement Studies. 1979;5:160–178.
    OpenUrl
  94. ↵
    1. von Hofsten C,
    2. Fazel-Zandy S
    . Development of visually guided hand orientation in reaching. J Exp Child Psychol. 1984;38:208–219.
    OpenUrlCrossRefPubMedWeb of Science
  95. ↵
    1. Lemon RN,
    2. Kirkwood PA,
    3. Maier MA,
    4. et al
    . Direct and indirect pathways for corticospinal control of upper limb motoneurons in the primate. Prog Brain Res. 2004;143:263–279.
    OpenUrlCrossRefPubMedWeb of Science
  96. ↵
    1. Yang JF,
    2. Gorassini M
    . Spinal and brain control of human walking: implications for retraining of walking. Neuroscientist. 2006;12:379–389.
    OpenUrlAbstract/FREE Full Text
  97. ↵
    1. Forssberg H
    . Ontogeny of human locomotor control. I. infant stepping, supported locomotion and transition to independent locomotion. Exp Brain Res. 1985;57:480–493.
    OpenUrlPubMedWeb of Science
  98. ↵
    1. Zelazo PR
    . The development of walking: new findings and old assumptions. J Mot Behav. 1983;2:99–137.
    OpenUrl
  99. ↵
    1. Connolly KJ,
    2. Forssberg H
    1. Forssberg H,
    2. Dietz V
    . Neurobiology of normal and impaired locomotor development. In: Connolly KJ, Forssberg H eds. Neurophysiology and Neuropsychology of Motor Development. Clinics in Developmental Medicine No. 143–144. London, United Kingdom: Mac Keith Press, 1997:78–100.
  100. ↵
    1. Müller K,
    2. Ebner B,
    3. Hömberg V
    . Maturation of fastest afferent and efferent central and peripheral pathways: no evidence for a constancy of central conduction delay. Neurosci Lett. 1994;166:9–12.
    OpenUrlCrossRefPubMedWeb of Science
  101. ↵
    1. Prechtl HF
    . General movement assessment as a method of developmental neurology; new paradigms and their consequences: The 1999 Ronnie MacKeith lecture. Dev Med Child Neurol. 2001;43:836–842.
    OpenUrlCrossRefPubMedWeb of Science
  102. ↵
    1. de Groot L
    . Posture and motility in preterm infants. Dev Med Child Neurol. 2000;42:65–68.
    OpenUrlCrossRefPubMedWeb of Science
  103. ↵
    1. Harris SR
    . Congenital hypotonia: clinical and developmental assessment. Dev Med Child Neurol. 2008;50:889–892.
    OpenUrlCrossRefPubMedWeb of Science
  104. ↵
    1. Hadders-Algra M,
    2. Heineman KR,
    3. Bos AF,
    4. Middelburg KJ
    . The assessment of minor neurological dysfunction using the Touwen Infant Neurological Examination: strengths and limitations. Dev Med Child Neurol. 2010;52:87–92.
    OpenUrlCrossRefPubMedWeb of Science
  105. ↵
    1. Spittle AJ,
    2. Brown NC,
    3. Doyle LW,
    4. et al
    . Quality of general movements is related to white matter pathology in very preterm infants. Pediatrics. 2008;121:e1184–e1189.
    OpenUrlAbstract/FREE Full Text
  106. ↵
    1. Amiel-Tison C,
    2. Gosselin J
    . Neurological Development From Birth to Six Years. Baltimore, MD: Johns Hopkins University Press; 2001.
  107. ↵
    1. Hadders-Algra M
    . Reduced variability in motor behaviour: an indicator of impaired cerebral connectivity? Early Hum Dev. 2008;84:787–789.
    OpenUrlCrossRefPubMedWeb of Science
  108. ↵
    1. Palisano R,
    2. Rosenbaum P,
    3. Walter S,
    4. et al
    . Development and reliability of a system to classify gross motor function in children with cerebral palsy. Dev Med Child Neurol. 1997;39:214–223.
    OpenUrlCrossRefPubMedWeb of Science
  109. ↵
    1. Hadders-Algra M,
    2. Brogren Carlberg E
    1. Brogren Carlberg E,
    2. Hadders-Algra M
    . Postural control in sitting children with cerebral palsy. In: Hadders-Algra M, Brogren Carlberg E eds. Postural Control: A Key Issue in Developmental Disorders. Clinics in Developmental Medicine No. 179. London, United Kingdom: Mac Keith Press; 2008:74–96.
  110. ↵
    1. Heineman KR,
    2. Hadders-Algra M
    . Evaluation of neuromotor function in infancy: a systematic review of available methods. J Dev Behav Pediatr. 2008;29:315–323.
    OpenUrlCrossRefPubMedWeb of Science
  111. ↵
    1. Darrah J,
    2. Senthilselvan A,
    3. Magill-Evans J
    . Trajectories of serial motor scores of typically developing children: implications for clinical decision making. Infant Behav Dev. 2009;32:72–78.
    OpenUrlCrossRefPubMedWeb of Science
  112. ↵
    1. Bayley N
    . Scales of Infant Development. 3rd ed. San Antonio, TX: Psych Corp, Harcourt Assessment Inc; 2005.
  113. ↵
    1. Piper MC,
    2. Darrah J
    . Motor Assessment of the Developing Infant. Philadelphia, PA: WB Saunders; 1994.
  114. ↵
    1. Campbell SK,
    2. Kolobe TH,
    3. Osten ET,
    4. et al
    . Construct validity of the test of infant motor performance. Phys Ther. 1995;75:585–596.
    OpenUrlAbstract/FREE Full Text
  115. ↵
    1. Einspieler C,
    2. Prechtl HFR,
    3. Bos AF,
    4. et al
    . Prechtl's Method on the Qualitative Assessment of General Movements in Preterm, Term and Young Infants. Clinics of Developmental Medicine No. 167. London, United Kingdom: Mac Keith Press; 2005.
  116. ↵
    1. Heineman KR,
    2. Bos AF,
    3. Hadders-Algra M
    . The Infant Motor Profile: a standardized and qualitative method to assess motor behaviour in infancy. Dev Med Child Neurol. 2008:50:275–282.
    OpenUrlCrossRefPubMedWeb of Science
  117. ↵
    1. Stahlmann N,
    2. Härtel C,
    3. Knopp A,
    4. et al
    . Predictive value of neurodevelopmental assessment versus evaluation of general movements for motor outcome in preterm infants with birth weights <1500 g. Neuropediatrics. 2007;38:91–99.
    OpenUrlCrossRefPubMedWeb of Science
  118. ↵
    1. Groen SE,
    2. de Blécourt AC,
    3. Postema K,
    4. Hadders-Algra M
    . General movements in early infancy predict neuromotor development at 9 to12 years of age. Dev Med Child Neurol. 2005;47:731–738.
    OpenUrlCrossRefPubMedWeb of Science
  119. ↵
    1. Hadders-Algra M,
    2. Bouwstra H,
    3. Groen SE
    . Quality of general movements and psychiatric morbidity at 9 to 12 years. Early Hum Dev. 2009;85:1–6.
    OpenUrlCrossRefPubMedWeb of Science
  120. ↵
    1. Bouwstra H,
    2. Dijck-Stigter GR,
    3. Grooten HMJ,
    4. et al
    . Predictive value of definitely abnormal general movements in the general population. Dev Med Child Neurol. 2010;52:456–461.
    OpenUrlPubMedWeb of Science
  121. ↵
    1. Volpe JJ
    . Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances. Lancet Neurol. 2009;8:110–124.
    OpenUrlCrossRefPubMedWeb of Science
  122. ↵
    1. Blauw-Hospers CH,
    2. de Graaf-Peters VB,
    3. Dirks T,
    4. et al
    . Does early intervention in infants at high risk for a developmental motor disorder improve motor and cognitive development? Neurosci Biobehav Rev. 2007;31:1201–1212.
    OpenUrlCrossRefPubMedWeb of Science
  123. ↵
    1. de Graaf-Peters VB,
    2. Blauw-Hospers CH,
    3. Dirks T,
    4. et al
    . Development of postural control in typically developing children and children with cerebral palsy: possibilities for intervention? Neurosci Biobehav Rev. 2007;31:1191–1200.
    OpenUrlCrossRefPubMedWeb of Science
View Abstract
Back to top
Vol 96 Issue 12 Table of Contents
Physical Therapy: 96 (12)

Issue highlights

  • Musculoskeletal Impairments Are Often Unrecognized and Underappreciated Complications From Diabetes
  • Physical Therapist–Led Ambulatory Rehabilitation for Patients Receiving CentriMag Short-Term Ventricular Assist Device Support: Retrospective Case Series
  • Education Research in Physical Therapy: Visions of the Possible
  • Predictors of Reduced Frequency of Physical Activity 3 Months After Injury: Findings From the Prospective Outcomes of Injury Study
  • Use of Perturbation-Based Gait Training in a Virtual Environment to Address Mediolateral Instability in an Individual With Unilateral Transfemoral Amputation
  • Effect of Virtual Reality Training on Balance and Gait Ability in Patients With Stroke: Systematic Review and Meta-Analysis
  • Effects of Locomotor Exercise Intensity on Gait Performance in Individuals With Incomplete Spinal Cord Injury
  • Case Series of a Knowledge Translation Intervention to Increase Upper Limb Exercise in Stroke Rehabilitation
  • Effectiveness of Rehabilitation Interventions to Improve Gait Speed in Children With Cerebral Palsy: Systematic Review and Meta-analysis
  • Reliability and Validity of Force Platform Measures of Balance Impairment in Individuals With Parkinson Disease
  • Measurement Properties of Instruments for Measuring of Lymphedema: Systematic Review
  • myMoves Program: Feasibility and Acceptability Study of a Remotely Delivered Self-Management Program for Increasing Physical Activity Among Adults With Acquired Brain Injury Living in the Community
  • Application of Intervention Mapping to the Development of a Complex Physical Therapist Intervention
Email

Thank you for your interest in spreading the word on JCORE Reference.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Variation and Variability: Key Words in Human Motor Development
(Your Name) has sent you a message from JCORE Reference
(Your Name) thought you would like to see the JCORE Reference web site.
Print
Variation and Variability: Key Words in Human Motor Development
Mijna Hadders-Algra
Physical Therapy Dec 2010, 90 (12) 1823-1837; DOI: 10.2522/ptj.20100006

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Save to my folders

Share
Variation and Variability: Key Words in Human Motor Development
Mijna Hadders-Algra
Physical Therapy Dec 2010, 90 (12) 1823-1837; DOI: 10.2522/ptj.20100006
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
  • Article
    • Abstract
    • Development of the Human Brain
    • Theoretical Considerations
    • Early Phases of Motor Development
    • Diagnostic Application of Variation and Variability
    • Concluding Remarks
    • Footnotes
    • References
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Variability in Postural Control During Infancy: Implications for Development, Assessment, and Intervention
  • The Complexity of Childhood Development: Variability in Perspective
  • Perspective on Variability in the Development of Human Action
Show more Pediatrics Special Issue

Subjects

Footer Menu 1

  • menu 1 item 1
  • menu 1 item 2
  • menu 1 item 3
  • menu 1 item 4

Footer Menu 2

  • menu 2 item 1
  • menu 2 item 2
  • menu 2 item 3
  • menu 2 item 4

Footer Menu 3

  • menu 3 item 1
  • menu 3 item 2
  • menu 3 item 3
  • menu 3 item 4

Footer Menu 4

  • menu 4 item 1
  • menu 4 item 2
  • menu 4 item 3
  • menu 4 item 4
footer second
footer first
Copyright © 2013 The HighWire JCore Reference Site | Print ISSN: 0123-4567 | Online ISSN: 1123-4567
advertisement bottom
Advertisement Top