Abstract
How do disturbances to perception and action relate to the deficiencies expressed by children with autism? The ability to predict what is going to happen next is crucial for the construction of all actions and children develop these predictive abilities early in development. Children with autism, however, are deficient in the ability to foresee future events and to plan movements and movement sequences. They are also deficient in the understanding of other people's actions. This includes communicative actions as they are ultimately based on movements. Today there are two promising neurobiological interpretation of Autism Spectrum Disorder (ASD). First, there is strong evidence that the Mirror Neuron System (MNS) is impaired. As stated by this hypothesis, action production and action understanding are intimately related. Both these functions rely on predictive models of the sensory consequences of actions and depend on connectivity between the parietal and premotor areas. Secondly, action prediction is accomplished through a system that includes a loop from the posterior parietal cortex (PPC) through the cerebellum and back to the premotor and motor areas of the brain. Impairment of this loop is probably also part of the explanation of the prediction problems in children with ASD. Both the cortico-cerebellar loop and the MNS rely on distant neural connections. There are multiple evidence that such connections are weak in children with autism.
Perception, action and cognition are mutually dependent. Together they form functional systems, driven by motives, around which adaptive behavior develops (von Hofsten, , , ). Actions reflect all aspects of cognitive development including the motives of the child, the problems to be solved, and the constraints and possibilities of the child's body and sensory-motor system. Actions are directed into the future and their control is based on knowledge of what is going to happen next. Dysfunctions of the brain will affect the way subjects perceive the surroundings and how they organize their actions. Autism is a disorder in which the subject fails to attend to important varieties of social information and instead focuses on less informative physical aspects of the environment. In addition, actions are often compulsatory and stereotyped (see e.g., Bodfish et al., ; Goldman et al., ). Bodfish et al. () found repetitive behaviors in both children with Autism Spectrum Disorder (ASD) and mentally retarded children but significantly more of them in children with autism. Furthermore, the prevalence of repetitive behavior, such as compulsion, was significantly correlated with the severity of ASD.
Deficiencies in the control of actions have not usually been considered to be core deficits of ASD or Asperger Syndrome (AS). Thus, the number of studies of action control in children with these syndromes is low compared to the studies focusing on the social aspects of the disorders. Recently, however, this picture is beginning to change. A number of studies focusing on action control in children with ASD have appeared. It is of great importance to identify the nature of the action problems associated with ASD, because this might provide crucial information for the understanding of what is failing in these children. Analyzing the physical movements has the potential of being helpful for objectively diagnose, treat and quantify performance gains starting at birth.
One widely used motor test is the Movement ABC (MABC-2) that includes a set of everyday action tasks such as walking on a line, putting beads on a string, standing on one leg, and throwing and catching objects. Green et al. (2002) used MABC-2 in a large, population-derived group of children. Definitive motor impairments were found in 79% of the children with ASD and a further 10% had borderline motor problems. Difficulty with the balance task in children with ASD stood out. In addition, the results show that children with ASD have greater difficulties in movement tasks that are both dependent on accuracy and timing, as seen in the timed peg-board tasks. Siaperas et al. () tested 50 boys with AS and an equal number of typically developed boys between 7 and 14 years of age on MABC-2 and found that children with AS were especially deficient on the throwing and catching tasks, and the tasks on dexterity and balance. They also tested balance on one or both feet with open and closed eyes and found the children with AS and ASD to be deficient on all these tasks.
Although the general motor tests give clear indications of motor dysfunctions in children with ASD, they give less clear indications of what the specific problems are. From a perception-action perspective, the most important aspect of motor control is predictive control. Adaptive behavior has to deal with the fact that events precede the feedback signals about them. The only way to overcome this problem is to anticipate what is going to happen next and use that information to control one's behavior. There are many indications that children with autism are generally deficient in this kind of control.
Postural control
Gravity is a potent force and when body equilibrium is disturbed, posture becomes quickly uncontrollable. Therefore, any reaction to a balance threat has to be very fast and automatic. Although several reflexes have been identified that help to control balance, postural reflexes are emergency reactions that tend to maintain balance at the cost of interrupting ongoing behavior. Disturbances to balance need to be handled by anticipating the upcoming problems and dealing with them in a predictive way.
Retrospective videos of children with autism indicate that postural control may be deficient already at an early age. For instance, Teitelbaum et al. () showed a case of an 8.5-months-old boy who, when trying to maintain balance in a sitting position fell over “like a log” without using any allied reflexes to protect himself. In other cases they studied, the infant managed to sit for a few minutes at a time, but when the posture was asymmetrical as when reaching for objects or moving the arms and upper body, they fell over (Teitelbaum et al., ). Another less dramatic instance of poor postural control is the control of neck muscles when being pulled from a lying position. At 4 months of age an infant should be able to control his or her head position in this situation by maintaining it in line with the torso and not let it flop back. Flanagan et al. () studied two groups of infants. In one group of 40 infants, all had older brothers or sisters with ASD. Ninety percent of those who went on to be diagnosed with ASD at 30–36 months had exhibited head lag at 6, 14, or 24 months. In another group of high-risk infants, Flanagan et al. () tested for head lag at 6 months. They found that 15 out of 20 siblings of children who had been diagnosed with ASD exhibited head lag compared to 7 out of 21 of the low-risk siblings. Bhat et al. () found that siblings of children with ASD also showed significantly more motor problems at 3 and 6 months of age compared to typically developing (TD) infants. In fact, the majority of the siblings showed both early motor delays and later communication delays.
Anticipation
There is evidence that children with ASD do not anticipate upcoming actions like TD children do. In a study of feeding, Cattaneo et al. () measured activation of the mouth-opening mylohyoid (MH) muscle in 6–9-years-old TD children and children with ASD. The participants were asked to watch the experimenter performing two different actions: grasping with the right hand a piece of food placed on a touch-sensitive plate, bringing it into the mouth and eating it, or grasping a piece of paper placed on the same plate and putting it into a container, located on the experimenter's right shoulder. They found that children with autism did not show any activation in the MH when observing other people who brought food to their mouth, while TD children showed proactive activity in MH in this situation. This activity demonstrates that the TD children perceive other people's actions by activating their own action system in the way suggested by the Mirror Neuron System (MNS) hypothesis but that children with ASD don't. The result is shown in Figure 1.
Figure 1
A more remarkable result was that when, in a similar experiment, subjects brought food to their own mouth or a piece of paper to a container, strong pre-activation of the MH was obtained in the typically developed children about 1 s before the food arrived at the mouth, but in the children with autism the activation of the MH only started after the food was grasped (see Figure 1). Thus, the children with ASD did not chain the two actions together in a predictive way, i.e., they did not prepare the opening of the mouth before they brought food to it. To test whether this lack of chaining two actions is a more general phenomenon and not just confined to bringing food to the mouth, an experiment was also performed in which two other actions were performed sequentially. The tasks were bringing food or a piece of paper to two different containers. The container for the food was to be opened by the pressing a pedal by the foot while the container for the paper was already opened. Thus, the pressing of the pedal in the food case should be performed slightly before the hand arrived with the food. Predictive pressing of the pedal was performed by the TD children but not by the children with ASD. Anticipating the effects of one's own actions is an important aspect of motor control. In children with autism this ability seems to be impaired.
Further evidence for this hypothesis comes from a lifting task by Schmitz et al. (
Does this deficiency in motor control appear in development together with other signs of autism or does it precede them. A recent report on feeding indicates that deficient anticipation of actions is a precursor of autism (Brisson et al.,
Planning movement sequences
Complex goal-directed movements are usually made up of several subunits that are chained together. When a movement is performed these subunits are linked in a predictive manner to create a continuous global action. Children with autism tend to split up such chained motor acts into unrelated movements. The result by Cattaneo et al. (
To further test the hypothesis that children with ASD have a fragmented motor organization, Fabbri-Destro et al. (
Prospective looking
Visual scanning the surrounding requires a plan for what to look at next. Children with ASD seem to be deficient in this ability. They do not look at the aspects of a social scene that are most informative (Klin et al.,
Figure 2

The mean relative duration of fixations on the different parts of the display during the conversation. The durations of fixation are calculated from a group of TD 3-years-old children (n = 12) and a group of 3–6-years-old children with ASD (n = 9). The increasing amount of fixations on a specific part of the display is depicted in yellow-green-blue-red color where red corresponds to the most fixations. It can be seen that the fixations of the children with ASD are more scattered than the fixations of the TD children. In addition, the fixation highlights show that the children with ASD have a strong tendency to fixate the shadow casted by the right model. When she spoke, she tended to move her head a little and the shadow of her head attracted the gaze of the children with autism but not the TD children (From von Hofsten et al.,
Understanding one's own actions
Children with ASD have problems with representing their own actions. Several studies have used a specific test of this ability, (the Florida Apraxia Battery modified for children, Mostofsky et al.,
The relationship to neuroscience
The children with ASD express problems that raises questions as to how they relate to brain processes. The fact that prediction of upcoming events is a major problem suggests that the cerebellum is involved. Haas et al. (
Another neural network associated with this ASD is the MNS (Oberman et al.,
It has been suggested that the measured deficiency in the MNS in ASD subjects could be related to weak neural connections between IPL and PA (Mostofsky and Ewen,
Thus, the core problem in ASD may be more fundamental than the just an impairment of MNS. Both MNS and the trans-cerebellar pathway rely on long connections. Another set of long connections that are found to be weak in children with ASD, are the ones going through Corpus Callosum. The fact that they are weak in children with autism was discovered by diffusion tensor imaging (Alexander et al.,
Conclusions
Although the most salient feature of Autism is a deficiency in communication and social ability, it is of great importance not to ignore the motor problems associated with ADS, because they might provide crucial information for the understanding of the dysfunction. It is clear that all communication consists of movements and that movement impairments give rise to disturbed communication, but it could not be the sole factor because many children with movement impairments are often good communicators. One important line of evidence suggests that children with autism are poor at predicting future events, at planning future actions and chaining action together. Prediction deficiencies are especially harmful when it comes to planning one's own actions and monitor other people's actions.
A recently discovered network in the brain, the MNS may be the mechanism that connects the motor problems and the social ones. According to the MNS hypothesis, observed actions are projected onto one's own action system together with the intentions and emotions associated with them. This facilitates the understanding of other people's actions. Impairments of the MNS will therefore have consequences both for social understanding as well as for the control of perception and action. If action planning is compromised, then the understanding of other people's actions will be compromised as well.
A number of conditions in the brain may be related to the evolution of autism but the most promising clue is the development of long connections between distant brain areas. Well-functioning long connections is crucial for the coordination of different brain areas and for the guidance of action by visual and auditory information. Impaired connections of this kind might be the ultimate reason why social function as well as prospective control are compromised in children with ASD.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
The research was supported by the Tercentennial Fund of the Bank of Sweden (P09-0933:1). We like to thank Terje Falck-Ytter for useful discussions.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
AlexanderA. L.LeeJ. E.LazarM.BoudoR.DuBrayM. B.OakesT. R.et al. (2007). Diffusion tensor imaging of the corpus callosum in Autism. Neuroimage34, 61–73. 10.1016/j.neuroimage.2006.08.032
2
AltmanJ.BayerS. A. (1997). Development of the Cerebellar System in Relation to Its Evolution, Structure, and Functions. Boca Raton, FL: CRC Press.
3
BecchioC.MariM.CastielloU. (2010). Perception of shadows in children with autism spectrum disorder. PLoS ONE5:e10582. 10.1371/journal.pone.0010582
4
BhatA. N.GallowayJ. C.LandaR. C. (2012). Relationship between early motor delay and later communication delay in infants at risk for autism. Infant Behav. Dev. 35, 838–846. 10.1016/j.infbeh.2012.07.019
5
BodfishJ. W.SymonsF. J.ParkerD. E.LewisM. H. (2000). Varieties of repetitive behavior in autism: comparisons to mental retardation. J. Autism Dev. Disord. 30,237–243.
6
BrissonJ.VarreynP.SerresJ.FoussierS.AdrienL. (2011). Motor anticipation failure in infants with autism: a retrospective analysis of feeding situations. Autism16, 420–429. 10.1177/1362361311423385
7
CattaneoL.Fabbri-DestroM.BoriaS.PieracciniC.MontiA.CossuG.et al. (2007). Impairment of actions chains in autism and its possible role in intention understanding. Proc. Natl. Acad. Sci. U.S.A. 104, 17825–17830. 10.1073/pnas.0706273104
8
DaprettoM.DaviesM. S.PfeiferJ. H.ScottA. A.SigmanM.BookheimerS. Y.et al. (2006). Understanding emotions in others: mirror neuron dysfunctions in children with autism spectrum disorders. Nat. Neurosci. 9, 28–30. 10.1038/nn1611
9
DowellL. H.MahoneE. M.MostofskyS. H. (2009). Associations of postural knowledge and basic motor skill with dyspraxia in autism: implication for abnormalities in distributed connectivity and motor learning. Neuropsychology23, 563–570. 10.1037/a0015640
10
DziukM. A.Gidley LarsonJ. C.ApostuA.MahoneE. M.DencklaM. B.MostofskyS. H. (2007). Dyspraxia in autism: association with motor, social, and communicative deficits. Dev. Med. Child Neur. 49, 734–739. 10.1111/j.1469-8749.2007.00734.x
11
Fabbri-DestroM.CattaneoL.BoriaS.RizzolattiG. (2009). Planning actions in autism. Exp. Brain Res. 192, 521–525. 10.1007/s00221-008-1578-3
12
Falck-YtterT.von HofstenC. (2011). How special is social looking in ASD: a review. Prog. Brain Res. 189, 209–222. 10.1016/B978-0-444-53884-0.00026-9
13
FlanaganJ.LandaR.BhatA.BaumanM. (2012). Head lag in infants at risk for autism: a preliminary study. Am. J. Occup. Ther. 66, 1–9. 10.5014/ajot.2012.004192
14
Fletcher-WatsonS.LeekamS. R.BensonV.FrankM. C.FindlayJ. M. (2009). Eye-movements reveal attention to social information in autism spectrum disorder. Neuropsychologia47, 248–257. 10.1016/j.neuropsychologia.2008.07.016
15
FortiS.ValliA.PergoP.NobileM.CrippaA.MolteniA. (2011). Motor planning and control in autism. A kinematic analysis of preschool children. Res. Autism Spect. Disord. 5, 834–842.
16
GoldmanS.WangC.SalgadoM. W.GreeneP. E.KimM.RapinI. (2008). Motor stereotypies in children with autism and other developmental disorders. Dev. Med. Child Neurol. 51, 30–38. 10.1111/j.1469-8749.2008.03178.x
17
GreenD.BairdG.BarnettA. L.HendersonL.HuberJ.HendersonS. E. (2002). The severity and nature of motor impairment in Asperger's syndrome: a comparison with specific developmental disorder of motor function. J. Child Psychol. Psychiatry43, 655–668. 10.1111/1469-7610.00054
18
HaasR. H.TownsendJ.CourchesneE.LinconA. J.SchreibmanL.Yeung-CourchesneR. (1996). Neurological abnormalities in infantile autism. J. Child Neurol. 11, 84–92. 10.1177/088307389601100204
19
HaswellC. C.IzawaJ.DowellL. R.MostofskyS. H.ShadmehrR. (2009). Representation of internal models of action in the autistic brain. Nat. Neurosci. 8, 970–972. 10.1038/nn.2356
20
IacoboniM.DaprettoM. (2006). The mirror neuron system and the consequences of its dysfunction. Nat. Rev. Neurosci. 7, 942–951. 10.1038/nrn2024
21
KlinA.JonesW.SchultzR.VolkmarF. (2003). The enactive mind, or from actions to cognition: lessons from autism. Philos. Trans. R. Soc. Lond. B358, 345–360. 10.1098/rstb.2002.1202
22
MacNeilL.MostofskyS. H. (2012). Specific dyspraxia in children with autism. Neuropsychology26, 165–171. 10.1037/a0026955
23
MartineauJ.CochinS.MagneR.BarthelemyC. (2008). Impaired cortical activation in autistic children: is the mirror neuron system involved?Int. J. Psychophysiol. 68, 35–40. 10.1016/j.ijpsycho.2008.01.002
24
MiallR. C. (2003). Connecting mirror neurons and forward models. Neuroreport14, 2135–2137. 10.1097/01.wnr.0000098751.87269.77
25
MostofskyS. H.DubeyP.JerathV. K.JansiewiczE. M.GoldbergM. C.DencklaM. B. (2006). Developmental dyspraxia is not limited to imitation in children with autism spectrum disorders. J. Int. Neuropsychol. Soc. 12, 314–326.
26
MostofskyS. H.EwenJ. B. (2011). Altered connectivity and action model formation in autism is autism. Neuroscientist17, 437–448. 10.1177/1073858410392381
27
ObermanL. M.HubbardE. M.McCleeryJ. P.AltschulerE. L. (2005). EEG evidence for mirror neuron dysfunction in autism spectrum disorders. Brain Res. Cogn. Brain Res. 24, 190–198. 10.1016/j.cogbrainres.2005.01.014
28
ObermanL. M.RamachandranV. S.PinedaJ. A. (2008). Modulation of mu suppression in children with autism spectrum disorders in response to familiar or unfamiliar stimuli: the mirror neuron hypothesis. Neuropsychology46, 1558–1565. 10.1016/j.neuropsychologia.2008.01.010
29
RizzolattiG.CraigheroL. (2004). The mirror neuron system. Ann. Rev. Neurosci. 27, 169–192. 10.1146/annurev.neuro.27.070203.144230
30
RizzolattiG.SinigagliaC. (2010). The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations. Nat. Rev. Neurosci. 11, 264–274. 10.1038/nrn2805
31
SchmitzC.MartineauJ.BarthélémyC.AssaianteC. (2003). Motor control and children with autism: deficit of anticipatory function?Neurosci. Lett. 348, 17–20. 10.1016/S0304-3940(03)00644-X
32
SiaperasP.RingH. A.McAllisterC. J.HendersonS.BarnettA.WatsonP.et al. (2012). Atypical movement performance and sensory integration in Asperger's syndrome. J. Autism Dev. Disord. 42, 718–725. 10.1007/s10803-011-1301-2
33
TeitelbaumP.TeitelbaumO.NyeJ.FrymanJ.MaurerR. G. (1998). Movement analysis in infancy may be useful for early diagnosis of autism. Proc. Natl. Acad. Sci. U.S.A. 95, 13982–13987. 10.1073/pnas.95.23.13982
34
von HofstenC. (1993). Prospective control: a basic aspect of action development. Hum. Dev. 36, 253–270.
35
von HofstenC. (2004). An action perspective on motor development. Trends Cogn. Sci. 8, 266–272. 10.1016/j.tics.2004.04.002
36
von HofstenC. (2007). Action in development. Dev. Sci. 10, 54–60. 10.1111/j.1467-7687.2007.00564.x
37
von HofstenC.UhligH.AdellM.KochukhovaO. (2009). How children with autism look at events. Res. Autism Spect. Disord. 3, 556–569.
38
WolffJ. J.GuH.GerigG.ElisonJ. T.StynerM.GouttardS.et al. (2012). Differences in white matter fiber tract development present from 6 to 24 months in infants with autism. Am. J. Psychiatry169, 589–600. 10.1176/appi.ajp.2011.11091447
Summary
Keywords
autism, perception, action, anticipation, planning, mirror-neurons, diffuse tensor imaging
Citation
von Hofsten C and Rosander K (2012) Perception-action in children with ASD. Front. Integr. Neurosci. 6:115. doi: 10.3389/fnint.2012.00115
Received
12 October 2012
Accepted
19 November 2012
Published
12 December 2012
Volume
6 - 2012
Edited by
Elizabeth B. Torres, Rutgers University, USA
Reviewed by
Michael Leon, University of California, USA; Patrizia Fattori, University of Bologna, Italy
Copyright
© 2012 von Hofsten and Rosander.
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Claes von Hofsten, Department of Psychology, Uppsala University, Box 1225, SE-75142 Uppsala, Sweden. e-mail: claes.von_hofsten@psyk.uu.se
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.