Motor Skill Differences in Autism Spectrum Disorder: a Clinically Focused Review

Zampella, Casey; Wang, Leah; Haley, Margaret; Hutchinson, Anne G.; Marchena, Ashley de

doi:10.1007/s11920-021-01280-6

Cited by 66 publications

(43 citation statements)

References 126 publications

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“…For the salient ventral attention network also, we find terms associated with movement (Figure 4c), such as 'motor', 'motor function', 'motor control', 'eye movement', 'tapping', 'mental imagery', 'imagery 'and 'mirror'. Notably, the literature reports movement impairments to characterize individuals with ASD (Bhat, 2021;Grace et al, 2018;Ming et al, 2007;Zampella et al, 2021). For the salient ventral attention network, we also find terms associated with language (Figure 4c), such as 'phonological', 'speech', 'production', 'speech production', 'orthographic', 'articulatory', 'pseudo-words 'and 'listened'.…”

Section: Agreement Of Results From Node-level Network Analysis To Fmri Literaturementioning

confidence: 58%

“…Since these results were obtained with structural connectivity networks, it is difficult to compare our results to these. However, each of the cognitive domains suggested by the meta-analysis decoding are known to be affected in ASD (Bhat, 2021;Davidson and Ellis Weismer, 2017;Ellis Weismer et al, 2010;Grace et al, 2018;Griffin et al, 2021;Habib et al, 2019;Kasari and Patterson, 2012;Kristen et al, 2014;Ming et al, 2007;Pickles et al, 2009;Senju, 2012;Solomon et al, 2016;Zampella et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Autism Spectrum Disorder Fact Sheet," 2020). Memory and movement impairments are also identified in ASD (Kristen et al, 2014;Habib et al, 2019;Zampella et al, 2021). Being highly heritable (Lord et al, 2020;Wang et al, 2017), the prevalence of ASD is globally increasing, affecting 1 in 54 children aged 8 years in the United States (Maenner et al, 2020) and 1 in 100 children aged under 6 years in India (Arora et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder

Elumalai

Yadav

Williams

et al. 2021

Preprint

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Autism Spectrum Disorder (ASD) is a set of neurodevelopmental disorders that pose a significant global health burden. Measures from graph theory have been used to characterise ASD-related changes in resting-state fMRI functional connectivity networks (FCNs), but recently developed geometry-inspired measures have not been applied so far. In this study, we applied geometry-inspired graph Ricci curvatures to investigate ASD-related changes in resting-state fMRI FCNs. To do this, we applied Forman-Ricci and Ollivier-Ricci curvatures to compare networks of ASD and healthy controls (N = 1112) from the Autism Brain Imaging Data Exchange I (ABIDE-I) dataset. We performed these comparisons at the brain-wide level as well as at the level of individual brain regions, and further, determined the behavioral relevance of region-specific differences with Neurosynth meta-analysis decoding. We found brain-wide ASD-related differences for both Forman-Ricci and Ollivier-Ricci curvatures. For Forman-Ricci curvature, these differences were distributed across 83 of the 200 brain regions studied, and concentrated within the Default Mode, Somatomotor and Ventral Attention Network. Meta-analysis decoding identified the brain regions showing curvature differences as involved in social cognition, memory, language and movement. Notably, comparison with results from previous non-invasive stimulation (TMS/tDCS) experiments revealed that the set of brain regions showing curvature differences overlapped with the set of brain regions whose stimulation resulted in positive cognitive or behavioural outcomes in ASD patients. These results underscore the utility of geometry-inspired graph Ricci curvatures in characterising disease-related changes in ASD, and possibly, other neurodevelopmental disorders.

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Section: Agreement Of Results From Node-level Network Analysis To Fmri Literaturementioning

confidence: 58%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder

Elumalai

Yadav

Williams

et al. 2021

Preprint

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“…The way we perceive, learn, and explore both our internal and external world is particularly intertwined with motor development and skills [ 30 ]. Up to 87% of ASD population manifest motor impairments, which are reported to be comparable to cognitive and language impairments in terms of prevalence but are still underrecognized and rarely addressed during interventions [ 31 ]. Children with ASD show a variety of motor impairments in the domains of praxis and fine and gross motor skills [ 32 ], asymmetrical gait [ 33 ], and impaired postural stability up to adolescence and adulthood [ 34 , 35 ].…”

Section: Promote Action and Motionmentioning

confidence: 99%

Multimedia Interventions for Neurodiversity: Leveraging Insights from Developmental Cognitive Neuroscience to Build an Innovative Practice

2022

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Multimedia technologies and virtual reality offer unique possibilities to manipulate sensory, motor, interpersonal, and cognitive processes contributing to atypical developmental trajectories, thus holding an explosive potential to design innovative and engaging interventions. However, there has been little progress in developing interventions that go beyond the patient’s diagnosis or the fascination of technology and rather spring from a deep understanding of the specific neuropsychological processes to be nurtured in individuals. This perspective paper outlines how recent insights from developmental cognitive neuroscience can be leveraged to promote children’s multidimensional development and highlight future directions and challenges for innovating both research and clinical practice. Finally, we focus on some practical examples of multimedia and virtual reality activities we have designed to stimulate bodily-self experiences, which are crucial for building up a coherent sense of self and lay the foundation for interacting with the external world. Atypical bodily self is an early marker of heterogeneous neurodevelopmental conditions (such as autism spectrum disorders) and seems to be under-targeted in research and clinical approaches.

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“…ASD is characterized by difficulties in social interaction, speech and non-verbal communication, restrictive/repetitive behaviors and varying levels of intellectual disability, and can also be accompanied by neurological or psychiatric disorders 1 , 2 . Memory and movement impairments are also identified in ASD 3 – 5 . Being highly heritable 2 , 6 , the prevalence of ASD is globally increasing, affecting 1 in 54 children aged 8 years in the United States 7 and 1 in 100 children aged under 6 years in India 8 .…”

Section: Introductionmentioning

confidence: 99%

Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder

Elumalai

Yadav

Williams

et al. 2022

Sci Rep

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While standard graph-theoretic measures have been widely used to characterize atypical resting-state functional connectivity in autism spectrum disorder (ASD), geometry-inspired network measures have not been applied. In this study, we apply Forman–Ricci and Ollivier–Ricci curvatures to compare networks of ASD and typically developing individuals (N = 1112) from the Autism Brain Imaging Data Exchange I (ABIDE-I) dataset. We find brain-wide and region-specific ASD-related differences for both Forman–Ricci and Ollivier–Ricci curvatures, with region-specific differences concentrated in Default Mode, Somatomotor and Ventral Attention networks for Forman–Ricci curvature. We use meta-analysis decoding to demonstrate that brain regions with curvature differences are associated to those cognitive domains known to be impaired in ASD. Further, we show that brain regions with curvature differences overlap with those brain regions whose non-invasive stimulation improves ASD-related symptoms. These results suggest the utility of graph Ricci curvatures in characterizing atypical connectivity of clinically relevant regions in ASD and other neurodevelopmental disorders.

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Motor Skill Differences in Autism Spectrum Disorder: a Clinically Focused Review

Cited by 66 publications

References 126 publications

Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder

Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder

Multimedia Interventions for Neurodiversity: Leveraging Insights from Developmental Cognitive Neuroscience to Build an Innovative Practice

Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder

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