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The multiple process model of goal-directed aiming/reaching: insights on limb control from various special populations

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Abstract

Several years ago, our research group forwarded a model of goal-directed reaching and aiming that describes the processes involved in the optimization of speed, accuracy, and energy expenditure Elliott et al. (Psychol Bull 136:1023–1044, 2010). One of the main features of the model is the distinction between early impulse control, which is based on a comparison of expected to perceived sensory consequences, and late limb-target control that involves a spatial comparison of limb and target position. Our model also emphasizes the importance of strategic behaviors that limit the opportunity for worst-case or inefficient outcomes. In the 2010 paper, we included a section on how our model can be used to understand atypical aiming/reaching movements in a number of special populations. In light of a recent empirical and theoretical update of our model Elliott et al. (Neurosci Biobehav Rev 72:95-110, 2017), here we consider contemporary motor control work involving typical aging, Down syndrome, autism spectrum disorder, and tetraplegia with tendon-transfer surgery. We outline how atypical limb control can be viewed within the context of the multiple-process model of goal-directed reaching and aiming, and discuss the underlying perceptual-motor impairment that results in the adaptive solution developed by the specific group.

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Notes

  1. In the majority of studies covered in this review, the term “older” refers to participants of 60 years plus while “younger” participants are typically under the age of 40 years.

  2. Helsen et al. (2016); cf. Kitchen and Miall 2019) suggested that at least part of the conservative strategy adopted by older adults may be related to a deterioration in proprioceptive sensitivity. It is certainly possible that age-related deterioration in several sensory-motor systems contributes to the play-it-safe aiming strategy generally adopted by older adults.

  3. Professional discourse around disability has typically adopted a person-centered approach, which aims to describe the individual as a person that has a disability rather than a person who is disabled. In recent years, however, there has been a push from within the autism community to alter the use of language so as to take a disability-first approach; that is, to describe autistic individuals rather than persons with autism (Kenny et al. 2016). The fundamental idea is that person-centered language implies that there is a 'typical' person that can be understood as separate from their autism, rather than a person whose life is in part defined by being autistic This position is consistent with the perspectives of the autistic individuals with whom we have worked, and we have accordingly adopted that terminology in this manuscript.

  4. Unlike people with Down syndrome, autistic adults exhibit an anticipatory awareness of their own movements (Glazebrook et al. 2008). This ability along with efficient impulse control suggests adults with autism form and maintain at least some type of representation of impending action.

  5. Mosconi et al. (2015) reported greater force variability in individuals with autism during an isometric force production task. Specifically, variability differences between individuals with and without autism increased with the absolute magnitude of the isometric target force and were more pronounced when visual feedback was disrupted.

  6. This kinematic result was similar to the findings for outward aiming movements of tetraplegics without tendon transfer (e.g., Koshland et al. 2005). The difference of course was that the reaching movements in the Robinson et al. (2010, 2014) work involved the elbow and not the shoulder. In research involving tetraplegia, both with and without tendon transfer surgery, the control group has always been neurotypicals. To our knowledge, the two groups have not been compared to each other.

References

  • Anson JG, Mawston GA (2000) Patterns of muscle activation in simple reaction-time tasks. In: Weeks DJ, Chua R, Elliott D (eds) Perceptual-motor behavior in Down syndrome. Human Kinetics, Champaign Il., pp 3–24

    Google Scholar 

  • Ansuini C, Podda J, Battaglia FM, Veneselli E, Becchio C (2018) One hand, two hands, two people: prospective sensorimotor control in children with autism. Dev Cog Neuro 29:86–96

    Google Scholar 

  • Augustyn JS, Rosenbaum DA (2005) Metacognitive control of action: preparation of aiming reflects knowledge of Fitts’s law. Psychonomic Bull Rev 12:911–916

    Google Scholar 

  • Bennett SJ, Elliott D, Rodacki A (2012) Movement strategies in vertical aiming in older adults. Exp Brain Res 216:445–455

    Google Scholar 

  • Bernstein NA (1967) The co-ordination and regulation of movements. Pergamon Press, Oxford

    Google Scholar 

  • Burkitt JJ, Grierson LEM, Staite V, Elliott D, Lyons JL (2013) The impact of prior knowledge about visual feedback on motor performance and learning. Adv Phys Educ 3:1–9

    Google Scholar 

  • Burkitt JJ, Staite V, Yeung A, Elliott D, Lyons JL (2015) Effector mass and trajectory optimization in the online regulation of goal-directed movement. Exp Brain Res 233:1097

    Google Scholar 

  • Burkitt JJ, Bongers RM, Elliott D, Hansen S, Lyons- JL (2017) Extending energy optimization in goal-directed aiming from movement kinematics to joint angles. J Motor Behav 49:129–140

    Google Scholar 

  • Campione GC, Piazza C, Villa L, Molteni M (2016) Three-dimensional kinematic analysis of prehension movements in young children with autism spectrum disorder: new insights on motor impairment. J Autism Dev Disord 46:1985–1999

    Google Scholar 

  • Carson RG, Goodman D, Elliott D (1992) Asymmetries in the discrete and pseudo continuous regulation of visually guided reaching. Brain Cogn 18:169–191

    CAS  Google Scholar 

  • Chen H, Yeh C, Howe T (2015) Postural control during standing reach in children with Down syndrome. Res Dev Disabil 38:345–351

    Google Scholar 

  • Chen LC, Su WC, Ho TL, Lu L, Tsai WC, Chiu YN, Jeng SF (2019) Postural control and interceptive skills in children with autism spectrum disorder. Phys Ther 99:231–1241

    Google Scholar 

  • Cook JD (2016) From movement kinematics to social cognition: the case of autism. Philos Trans R Soc B 371:20150372

    Google Scholar 

  • Cook JL, Blakemore SJ, Press C (2013) Atypical basic movement kinematics in autism spectrum conditions. Brain 136:2816–2824

    Google Scholar 

  • Cooke JD, Brown SH, Cunningham DA (1989) Kinematics of arm movements in elderly humans. Neurobiol Aging 10:159–165

    CAS  Google Scholar 

  • Darling WG, Cooke JD, Brown SH (1989) Control of simple arm movements in elderly humans. Neurobiol Aging 10:149–157

    CAS  Google Scholar 

  • Dawson G, Toth K (2006) Autism spectrum disorder. In: Cicchetti D, Cohen D (eds) Developmental psychopathology, vol 3, 2nd edn. Wiley, New York, pp 317–257

    Google Scholar 

  • Dowd AM, McGinley JL, Taffe JR, Rinehart NJ (2012) Do planning and visual integration difficulties underpin motor dysfunction in autism? A kinematic study of young children with autism. J Autism Dev Disord 42:1539–1548

    Google Scholar 

  • Elliott D, Hansen S (2010) Visual regulation of manual aiming: a comparison of methods. Behav Res Methods 42:1087–1095

    Google Scholar 

  • Elliott D, Carson RG, Goodman D, Chua R (1991) Discrete vs. continuous visual control of manual aiming. Hum Move Sci 10:393–418

    Google Scholar 

  • Elliott D, Binsted G, Heath M (1999) The control of goal-directed limb movements: correcting errors in the trajectory. Hum Mov Sci 18:121–136

    Google Scholar 

  • Elliott D, Helsen WF, Chua R (2001) A century later: Woodworth’s two-component model of goal directed aiming. Psychol Bull 127:342–357

    CAS  Google Scholar 

  • Elliott D, Hansen S, Mendoza JE, Tremblay L (2004) Learning to optimize speed, accuracy, and energy expenditure: a framework for understanding speed-accuracy relations in goal-directed aiming. J Motor Behav 36:339–351

    Google Scholar 

  • Elliott D, Welsh TN, Lyons JL, Hansen S, Wu M (2006) The visual regulation of goal-directed reaching in adults with Williams syndrome, Down syndrome, and other developmental delays. Mot Control 10:34–54

    Google Scholar 

  • Elliott D, Hansen S, Grierson LEM (2009) Optimising speed and energy expenditure in accurate visually directed upper limb movements. Ergonomics 52:439–447

    Google Scholar 

  • Elliott D, Hansen S, Grierson LEM, Lyons JL, Bennett SJ, Hayes SJ (2010) Goal-directed aiming: two components but multiple processes. Psychol Bull 136:1023–1044

    Google Scholar 

  • Elliott D, Dutoy C, Andrew M, Burkitt JJ, Grierson LEM, Lyons JL, Hayes SJ, Bennett SJ (2014) The influence of visual feedback and prior knowledge about feedback on vertical aiming strategies. J Motor Behav 46:433–443

    Google Scholar 

  • Elliott D, Lyons JL, Hayes SJ, Burkitt JJ, Roberts JW, Grierson LEM, Hansen S, Bennett SJ (2017) The multiple process model of goal-directed reaching revisited. Neurosci Biobehav Rev 72:95–110

    Google Scholar 

  • Engelbrecht SE, Berthier NE, O’Sullivan LP (2003) The undershooting bias: learning to act optimally under uncertainty. Psychol Sci 14:257–261

    Google Scholar 

  • Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 47:381–391

    CAS  Google Scholar 

  • Floris DL, Barber AD, Nebel MB, Martinelli M, Lai MC, Crocetti D, Baron-Cohen S, Suckling J, Pekar JJ, Mostofsky SH (2016) Atypical lateralization of motor circuit functional connectivity in children with autism is associated with motor deficits. Mol Autism 7:35

    Google Scholar 

  • Forti S, Valli A, Perego P, Nobile M, Crippa A, Molteni M (2011) Motor planning and control in autism. A kinematic analysis of preschool children. Res Autism Spect Dis 5:834–842

    Google Scholar 

  • Foster NC, Bennett SJ, Causer J, Elliott D, Bird G, Hayes SJ (2020a) Facilitating sensorimotor integration via blocked practice underpins imitation learning of atypical biological kinematics in autism spectrum disorder. Autism 24:1494–1505

    Google Scholar 

  • Foster NC, Bennett SJ, Causer J, Elliott D, Bird G, Hayes SJ (2020b) Getting off to a shaky start: Specificity in planning and feedforward control during sensorimotor learning in autism spectrum disorder. Autism Res 13:423–435

    Google Scholar 

  • Foti F, Menghini D, Alfieri P, Costanzo F, Mandolesi L, Petrosini L, Vicari S (2018) Learning by observation and learning by doing in Down and Williams syndromes. Dev Sci 21:e12642

    Google Scholar 

  • Galganski ME, Fuglevand AJ, Enoka R (1993) Reduced control of motor output in human hand muscle of elderly subjects during submaximal contractions. J Neurophysiol 69:2108–2115

    CAS  Google Scholar 

  • Ganglmayer K, Schuwerk T, Sodian B, Paulus M (2020) Do children and adults with autism spectrum condition anticipate others’ actions as goal-directed? A predictive coding perspective. J Autism Dev Dis 50:2077–2089

    Google Scholar 

  • Gidley Larson JC, Bastian AJ, Donchin O, Shadmehr R, Mostofsky SH (2008) Acquisition of internal models of motor tasks in children with autism. Brain 131:2894–2903

    Google Scholar 

  • Gimenez R, Marquezi ML, Filho EX, Manoel ED (2017) A note on motor skill acquisition in mild and moderate Down syndrome individuals. Psicologia Reflexão Crítica 30:1

    Google Scholar 

  • Glazebrook CM, Elliott D, Lyons J (2006) A kinematic analysis of how young adults with and without autism plan and control goal-directed movements. Mot Control 10:244–264

    Google Scholar 

  • Glazebrook CM, Elliott D, Lyons J (2008) Temporal judgements of internal and external events in people with and without autism. Conscious Cogn 17:203–209

    Google Scholar 

  • Glazebrook CM, Elliott D, Szatmari P (2008) How do individuals with autism plan their movements? J Autism Dev Disord 38:114–126

    Google Scholar 

  • Glazebrook CM, Gonzalez D, Hansen S, Elliott D (2009) The role of vision for online control of manual aiming movements in people with autism spectrum disorder. Autism 13:411–433

    Google Scholar 

  • Goggin NL, Stelmach GE (1990) Age-related differences in a kinematic analysis of precued movements. Can J Aging 9:371–385

    Google Scholar 

  • Gowen E, Hamilton A (2013) Motor abilities in autism: a review using a computational context. J Autism Dev Disord 43:323–344

    Google Scholar 

  • Grace N, Johnson BP, Rinehart NJ, Enticott PG (2018) Are motor control and regulation problems part of the ASD motor profile? A handwriting study. Dev Neuropsychol 43:581–594

    Google Scholar 

  • Grierson LEM, Elliott D (2009a) Goal-directed aiming and the relative contribution of two online control processes. Am J Psychol 122:309–324

    Google Scholar 

  • Grierson LEM, Elliott D (2009b) The impact of real and illusory target perturbations on manual aiming. Exp Brain Res 193:279–285

    Google Scholar 

  • Hamilton AFDC (2013) Reflecting on the mirror neuron system in autism: a systematic review of current theories. Dev Cog Neuro 3:91–105

    Google Scholar 

  • Hansen S, Sheahan B, Wu M, Lyons JL, Welsh TN, Elliott D (2005) Specificity of learning in adults with and without Down syndrome. Adapt Phys Activ Q 22:237–252

    Google Scholar 

  • Hansen S, Glazebrook CM, Anson JG, Weeks DJ, Elliott D (2006) The influence of advance information about target location and visual feedback on movement planning and execution. Can J Exp Psychol 60:200–208

    Google Scholar 

  • Haswell CC, Izawa J, Dowell LR, Mostofsky SH, Shadmehr R (2009) Representation of internal models of action in the autistic brain. Nat Neurosci 12:970–972

    CAS  Google Scholar 

  • Hayes SJ, Andrew M, Elliott D, Gowen E, Bennett SJ (2016) Low fidelity imitation of atypical biological kinematics in autism spectrum disorder is modulated by self-generated selective attention. J Autism Dev Disord 46:502–513

    Google Scholar 

  • Hayes SJ, Andrew M, Foster NC, Elliott D, Gowen E, Bennett SJ (2018) Sensorimotor learning and associated visual perception are intact but unrelated in autism spectrum disorder. Autism Res 11:296–304

    Google Scholar 

  • Heath M (2005) Role of limb and target vision in the online control of memory-guided reaches. Mot Control 9:281–309

    Google Scholar 

  • Heath M, Hodges NJ, Chua R, Elliott D (1998) On-line control of rapid aiming movements: unexpected target perturbations and movement kinematics. Can J Exp Psychol 52:163–173

    Google Scholar 

  • Helsen WF, Elliott D, Starkes JL, Ricker KL (1998) Temporal and spatial coupling of point of gaze and hand movements in aiming. J Motor Behav 30:249–259

    CAS  Google Scholar 

  • Helsen WF, Van Halewych F, Levin O, Boisgontier MP, Lavrysen A, Elliott D (2016) Manual aiming in healthy aging: does proprioceptive acuity make the difference? Age 38:45

    Google Scholar 

  • Hill EL (2004) Executive dysfunction in autism. Trends Cogn Sci 8:26–32

    Google Scholar 

  • Hocking D, Rinehart N, Mcginley J, Galna B, Moss S, Bradshaw J (2011) Gait adaptation during obstacle crossing reveals impairments in the visual control of locomotion in Williams syndrome. Neurosci 197:320–329

    CAS  Google Scholar 

  • Hodges NJ, Cunningham SJ, Lyons JL, Kerr TL, Elliott D (1995) Visual feedback processing and goal-directed movement in adults with Down syndrome. Adapt Phys Activ Q 12:176–186

    Google Scholar 

  • Hoffmann G, Laffont I, Hanneton S, Roby-Brami A (2006) How to extend the elbow with a weak or paralyzed triceps: control of arm kinematics for aiming in C6–C7 quadriplegic patients. Neurosci 139:749–765

    CAS  Google Scholar 

  • Hughes C (1996) Brief report: Planning problems in autism at the level of motor control. J Autism Dev Disord 26:99–106

    CAS  Google Scholar 

  • Keele SW (1968) Movement control in skilled motor performance. Psychol Bull 70:387–403

    Google Scholar 

  • Kelso JAS (2012) Multistability and metastability: understanding dynamic coordination. Philos Trans R Soc B Biol Sci 367:906–918

    Google Scholar 

  • Kenny L, Hattersley C, Molins B, Buckley C, Povey C, Pellicano E (2016) Which terms should be used to describe autism? Perspectives from the UK autism community. Autism 20:442–462

    Google Scholar 

  • Kerr R, Blais C (1985) Motor skill acquisition by individuals with Down syndrome. Am J Ment Def 90(3):313–318

    CAS  Google Scholar 

  • Ketcham CJ, Seidler RD, van Gemmert AWA, Stelmach GE (2002) Age-related kinematic differences as influenced by task difficulty, target size and movement amplitude. J Gerontol: Psychol Sci 57B:P54–P64

    Google Scholar 

  • Khan MA, Elliott D, Coull J, Chua R, Lyons JL (2002) Optimal control strategies under different feedback schedules: kinematic evidence. J Motor Behav 34:45–57

    Google Scholar 

  • Kitchen NM, Miall RC (2019) Proprioceptive deficits in inactive older adults are not reflected in fast targeted reaching movements. Exp Brain Res 237:531–545

    Google Scholar 

  • Koshland GF, Galloway JC, Farley B (2005) Novel muscle patterns for reaching after cervical spinal cord injury: a case for motor redundancy. Exp Brain Res 164:133–147

    Google Scholar 

  • Laffont I, Briand E, Dizien O, Combeaud M, Bussel B, Revol M, Roby-Brami A (2000) Kinematics of prehesion and pointing movements in C6 quadriplegic patients. Spinal Cord 38:354–362

    CAS  Google Scholar 

  • Lam MY, Hodges NJ, Virji-Babul N, Latash ML (2009) Evidence for slowing as a function of index of difficulty in young adults with Down syndrome. Am J Intellect Dev Disabil 114:411–426

    Google Scholar 

  • Latash ML, Anson JG (1996) What are ‘normal movements’ in atypical populations? Behav Brain Sci 19:55–68

    Google Scholar 

  • Lawrence GP, Reilly NE, Mottram TM, Khan MA, Elliott D (2013) Sequential aiming movements and the one-target advantage in individuals with Down syndrome. Res Dev Disabil 34:3858–3866

    Google Scholar 

  • LeClair DA, Pollock BJ, Elliott D (1993) Movement preparation in adults with and without Down syndrome. Am J Ment Retard 97:628–633

    CAS  Google Scholar 

  • Lopes JB, Duarte ND, Lazzari RD, Oliveira CS (2018) Virtual reality in the rehabilitation process for individuals with cerebral palsy and Down syndrome: a systematic review. J Bodyw Mov Ther. https://doi.org/10.1016/j.jbmt.2018.06.006

    Article  Google Scholar 

  • Lord C, Brugha TS, Charman T, Cusack J, Dumas G, Frazier T, Jones EJ, Jones RM, Pickles A, State MW, Taylor JL (2020) Autism Spectrum Disorder. Nat Rev Dis Primers 6:1–23

    Google Scholar 

  • Lyons J, Elliott D, Swanson LR, Chua R (1996) The use of vision in manual aiming by young and older adults. J Aging Phys Act 4:165–178

    Google Scholar 

  • Lyons J, Hansen S, Hurding S, Elliott D (2006) Optimizing rapid aiming behaviour: movement kinematics depend on the cost of corrective modifications. Exp Brain Res 174:95–100

    Google Scholar 

  • Mari M, Castiello U, Marks D, Marraffa C, Prior M (2003) The reach-to-grasp movement in children with autism spectrum disorder. Philos Trans R Soc Lond B. Biol Sci 358:393–403

    Google Scholar 

  • Marko MK, Crocetti D, Hulst T, Donchin O, Shadmehr R, Mostofsky SH (2015) Behavioural and neural basis of anomalous motor learning in children with autism. Brain 138:784–797

    Google Scholar 

  • Marteniuk RG, Ivens CJ, Bertram CP (2000) Evidence of motor equivalence in a pointing task involving locomotion. Mot Control 4:165–184

    CAS  Google Scholar 

  • Mateo S, Roby-Brami A, Reilly KT, Rossetti Y, Collet C, Rode G (2015) Upper limb kinematics after cervical spinal cord injury: a review. J Neuroeng Rehabil 12:9

    Google Scholar 

  • Mendoza JE, Elliott D, Meegan DV, Lyons JL, Welsh TN (2006) The effect of the Müller-Lyer illusion on the planning and control of manual aiming movements. J Exp Psychol: Hum Percept Perform 32:413–422

    Google Scholar 

  • Meyer DE, Smith JE, Wright CE (1982) Models for the speed and accuracy of aimed movements. Psychol Rev 89:449–482

    CAS  Google Scholar 

  • Meyer DE, Abrams RA, Kornblum S, Wright CE, Smith JEK (1988) Optimality in human motor performance: ideal control of rapid aimed movements. Psychol Rev 95:340–370

    CAS  Google Scholar 

  • Monteiro CB, Silva TD, Abreu LC, Fregni F, Araujo LV, Ferreira FH, Leone C (2017) Short-term motor learning through non-immersive virtual reality task in individuals with Down syndrome. BMC Neurol 17:1

    Google Scholar 

  • Mon-Williams M, Tresilian JR, Bell VE, Coppard VL, Jobling A, Carson RG (2001) The preparation of reach to grasp movements in adults with Down syndrome. Hum Move Sci 20:587–602

    CAS  Google Scholar 

  • Mosconi MW, Mohanty S, Greene RK, Cook EH, Vaillancourt DE, Sweeney JA (2015) Feedforward and feedback motor control abnormalities implicate cerebellar dysfunction in autism spectrum disorder. J Neurosci 35:2015–2025

    CAS  Google Scholar 

  • Mostofsky SH, Ewen JB (2011) Altered connectivity and action model formation in autism is autism. Neuroscientist 17:437–448

    Google Scholar 

  • Nazarali N, Glazebrook CM, Elliott D (2009) Movement planning and reprogramming in individuals with autism. J Autism Dev Disord 39:1401–1411

    Google Scholar 

  • Obhi SS, Lyons J, Welsh TN, Glazebrook CM, Anson G, Elliott D (2007) The perceived time of voluntary action for adults with and without Down syndrome. Down Syndrome Q 9:4–9

    Google Scholar 

  • Oliveira FTP, Elliott D, Goodman D (2005) The energy minimization bias: compensating for intrinsic influence of energy minimization mechanisms. Mot Control 9:101–114

    Google Scholar 

  • Papadopoulos N, McGinley J, Tonge BJ, Bradshaw JL, Saunders K, Rinehart NJ (2012) An investigation of upper limb motor function in high functioning autism and Asperger’s disorder using a repetitive Fitts’ aiming task. Res Autism Spect Dis 6:286–292

    Google Scholar 

  • Park J-H, Shea CH (2003) Effect of practice on effector independence. J Motor Behav 35:33–40

    Google Scholar 

  • Pillai AS, McAuliffe D, Lakshmanan BM, Mostofsky SH, Crone NE, Ewen JB (2018) Altered task-related modulation of long-range connectivity in children with autism. Autism Res 11:245–257

    Google Scholar 

  • Pitetti K, Baynard T, Agiovlasitis S (2013) Children and adolescents with Down syndrome, physical fitness and physical activity. J Sport Health Sci 2(1):47–57

    Google Scholar 

  • Poletti C, Sleimen-Malkoun R, Temprado J-J, Lemaire P (2015) Older and younger adults’ strategies in sensori-motor tasks: insights from Fitts’ pointing task. J Exp Psychol: Hum Percept Perform 41:542–555

    Google Scholar 

  • Poletti C, Sleimen-Malkoun R, Lemaire P, Temprado J-J (2016) Sensori-motor strategic variations and sequential effects in young and older adults performing Fitts’ task. Acta Psychol 163:1–9

    Google Scholar 

  • Poletti C, Sleiman-Malkoun R, Decker LM, Refornaz F, Temprado LPJ-J (2017) Strategic variations in Fitts’ task: comparison of healthy older adults and cognitively impaired patients. Front Aging Neurosci 8:334

    Google Scholar 

  • Possebom F, Massetti T, da Silva T, Malheiros S, Menezes L, Caromano F, Ré A, Bezerra I, Monteiro C (2016) Maze computer performance in Down syndrome. J Hum Growth Dev 26(2):205–210

    Google Scholar 

  • Pratt J, Chasteen AL, Abrams RA (1994) Rapid aimed movements: age differences and practice effects in component submovements. Psychol Aging 9:325–334

    CAS  Google Scholar 

  • Prinz W (1997) Perception and action planning Eur J. Cogn Psychol 9(2):129–154

    Google Scholar 

  • Puts NA, Wodka EL, Harris AD, Crocetti D, Tommerdahl M, Mostofsky SH, Edden RA (2017) Reduced GABA and altered somatosensory function in children with autism spectrum disorder. Autism Res 10:608–619

    Google Scholar 

  • Reilly N, Lawrence GP, Mottram T, Khan M (2017) Adults with Down syndrome demonstrate peripheral, not central, deficits when integrating movements during multiple-target sequences. J Mot Learn Dev 5:82–102

    Google Scholar 

  • Rinehart NJ, Bellgrove MA, Tonge BJ, Brereton AV, Howells-Rankin D, Bradshaw JL (2006) An examination of movement kinematics in young people with high-functioning autism and Asperger’s disorder: further evidence for a motor planning deficit. J Autism Dev Disord 36:757–767

    Google Scholar 

  • Roberts JW (2020) Energy minimization within target-directed aiming: the mediating influence of the number of movements and target size. Exp Brain Res 238:741–749

    Google Scholar 

  • Roberts JW, Grierson LEM (2020) Early impulse control: treatment of potential errors within pre-programming and control. J Mot Behav 52:713–722

    Google Scholar 

  • Roberts JW, Wilson MR, Skultety JK, Lyons JL (2018) Examining the effect of state anxiety on compensatory and strategic adjustments in the planning of goal-directed aiming. Acta Psychol 185:33–40

    Google Scholar 

  • Robinson MA, Hayes SJ, Bennett SJ, Barton GJ, Elliott D (2010) Sensory-motor equivalence: manual aiming in C6 tetraplegics following musculotendinous transfer surgery at the elbow. Exp Brain Res 206:81–91

    Google Scholar 

  • Robinson MA, Elliott D, Hayes SJ, Barton GJ, Bennett SJ (2014) Primary and submovement control in C6 tetraplegics following posterior deltoid transfer. J NeuroEng Rehabil 11:1–9

    Google Scholar 

  • Salthouse TA (2009) When does age-related cognitive decline begin? Neurobiol Aging 30:507–514

    Google Scholar 

  • Schmidt RA (1975) A schema theory of discrete motor skill learning. Psychol Rev 82:225–260

    Google Scholar 

  • Schmidt RA, Zelaznik HN, Hawkins B, Frank JS, Quinn JT (1979) Motor output variability: a theory for the accuracy of rapid motor acts. Psychol Rev 86:415–451

    Google Scholar 

  • Sleiman-Malkoun R, Temprado J-J, Berton E (2013) Age-related changes of movement patterns in discrete Fitts’ task. BMC Neurosci 14:145

    Google Scholar 

  • Slifkin AB, Eder JR (2017) Degree of target utilization influences the location of movement endpoint distributions. Acta Psychol 174:89–100

    Google Scholar 

  • Smith BA, Kubo M, Black DP, Holt KG, Ulrich BD (2007) Effect of practice on a novel task-walking on a treadmill: preadolescents with and without Down syndrome. Phys Ther 87:766–777

    Google Scholar 

  • Sosnoff JJ, Newell KM (2006) Aging, visual intermittency and variability in isometric force output. J Gerontol B-Psychol 61:P117-124

    Google Scholar 

  • Sowden S, Koehne S, Catmur C, Dziobek I, Bird G (2016) Intact automatic imitation and typical spatial compatibility in autism spectrum disorder: challenging the broken mirror theory. Autism Res 9:292–300

    Google Scholar 

  • Stewart HJ, McIntosh RD, Williams JHG (2013) A specific deficit of imitation in autism spectrum disorder. Autism Res 6(6):522–530

    Google Scholar 

  • Stoit AB, van Schie H, Slaats-Willemse DE, Buitelaar J (2013) Grasping motor impairments in autism: not action planning but movement execution is deficient. J Autism Dev Disord 43:2793–2806

    Google Scholar 

  • Szatmari P, Tuff L, Finlayson MA, Bartolucci G (1990) Asperger’s syndrome and autism: neurocognitive aspects. J Am Acad Child Adolesc Psychiatry 29:130–136

    CAS  Google Scholar 

  • Temprado J-J, Sleiman-Malkoun R, Lemaire P, Rey-Robert B, Retornaz F, Berton E (2013) Aging of sensorimotor processes: a systematic study in Fitts’ task. Exp Brain Res 228:105–116

    Google Scholar 

  • Temprado J-J, Vieluf S, Sleiman-Malkoun R (2017) Age-related changes in force control under different task contexts. Exp Brain Res 235:231–246

    Google Scholar 

  • Vaillancourt JJ, Newell KM (2003) Aging and the time and frequency structure of force output variability. J Appl Physiol 94:903–912

    Google Scholar 

  • Valvano J, Hogy S, Worster K, Ma J, Denniston N, Carollo WPJJ (2017) Analysis of reach-to-grasp by school-aged children with Down syndrome elucidates limitations in upper extremity motor control. Phys Occup Ther Pediatr 37(4):374–388

    Google Scholar 

  • Van Halewyck F, Lavrysen A, Levin O, Boisgontier MP, Elliott D, Helsen WF (2014) Both age and physical activity level impact on eye-hand coordination. Hum Move Sci 36:80–96

    Google Scholar 

  • Van Halewyck F, Lavrysen A, Levin O, Elliott D, Helsen WF (2015) The impact of age and physical activity level on manual aiming performance. J Aging Phys Act 23:169–179

    Google Scholar 

  • Vimercati SL, Galli M, Rigoldi C, Ancillao A, Albertini G (2012) Spatiotemporal and kinematic aspects of obstacle avoidance in subjects with down syndrome. Funct Neurol 27:231–237

    Google Scholar 

  • Vimercati SL, Galli M, Rigoldi C, Albertini G (2013) Obstacle avoidance in Down syndrome. J Electromyogra Kines 23:483–489

    Google Scholar 

  • Vimercati SL, Galli M, Rigoldi C, Ancillao A, Albertini G (2013a) Motor strategies and motor programs during an arm tapping task in adults with Down syndrome. Exp Brain Res 225(3):333–338

    Google Scholar 

  • Vimercati SL, Galli M, Rigoldi C, Ancillao A, Albertini G (2013b) Feedback reliance during an arm-tapping task with obstacle avoidance in adults with Down syndrome. Exp Brain Res 226:631–638

    Google Scholar 

  • Vivanti G, Hamilton AFDC (2014) Imitation in autism spectrum disorders handbook of autism and pervasive developmental disorders, 4th edn. Wiley, New Jersey

    Google Scholar 

  • Welsh TN, Higgins L, Elliott D (2007) Are there age-related differences in learning to optimize speed, accuracy, and energy expenditure? Hum Move Sci 26:892–912

    Google Scholar 

  • Whyatt CP, Craig CM (2013) Interceptive skills in children aged 9–11 years, diagnosed with Autism Spectrum Disorder. Res Autism Spect Dis 7:613–623

    Google Scholar 

  • Wierzbicka MM, Wiegner AW (1992) Effects of weak antagonist on fast elbow flexion movements in man. Exp Brain Res 91:509–519

    CAS  Google Scholar 

  • Wild KS, Poliakoff E, Jerrison A, Gowen E (2012) Goal-directed and goal-less imitation in autism spectrum disorder. J Autism Dev Disord 42(8):1739–1749

    Google Scholar 

  • Williams JH, Whiten A, Suddendorf T, Perrett DI (2001) Imitation, mirror neurons and autism. Neurosci Biobehav Rev 25:287–295

    CAS  Google Scholar 

  • Wolpert DM, Ghahramani Z (2000) Computational principles of movement neuroscience. Nat Neurosci 3:1212–1217

    CAS  Google Scholar 

  • Wolpert DM, Diedrichsen J, Flanagan RJ (2011) Principles of sensorimotor learning. Nat Rev Neurosci 12:739–751

    CAS  Google Scholar 

  • Woodworth RS (1899) The accuracy of voluntary movement. Pysch Rev III(3):1–119

    Google Scholar 

  • Worringham CJ (1991) Variability effects on the internal structure of rapid aiming movements. J Motor Behav 23:75–85

    CAS  Google Scholar 

  • Wu J, Ulrich DA, Looper J, Tiernan CW, Angulo-Barroso RM (2008) Strategy adoption and locomotor adjustments in obstacle clearance of newly walking toddlers with Down syndrome after different treadmill interventions. Exp Brain Res 186:261–272

    Google Scholar 

  • Wuang Y, Chiang C, Su C, Wang C (2011) Effectiveness of virtual reality using Wii gaming technology in children with Down syndrome. Res Dev Disabil 32(1):312–321

    Google Scholar 

  • Zheng R, Naiman ID, Skultety J, Passmore SR, Lyons JL, Glazebrook CM (2019) The impact of different movement types on motor planning and execution in individuals with autism spectrum disorder. Mot Control 23:398–417

    Google Scholar 

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Acknowledgements

Preparation of this manuscript was supported by the Natural Sciences and Engineering Research Council of Canada, the Research Institute for Sport and Exercise Sciences (Liverpool John Moores University), and the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 754490-MINDED project.

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Elliott, D., Lyons, J., Hayes, S.J. et al. The multiple process model of goal-directed aiming/reaching: insights on limb control from various special populations. Exp Brain Res 238, 2685–2699 (2020). https://doi.org/10.1007/s00221-020-05952-2

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