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Written Expression in Individuals with Autism: a Meta-analysis. CURRENT DEVELOPMENTAL DISORDERS REPORTS 2022. [DOI: 10.1007/s40474-022-00262-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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2
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Elumalai P, Yadav Y, Williams N, Saucan E, Jost J, Samal A. Graph Ricci curvatures reveal atypical functional connectivity in autism spectrum disorder. Sci Rep 2022; 12:8295. [PMID: 35585156 PMCID: PMC9117309 DOI: 10.1038/s41598-022-12171-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/04/2022] [Indexed: 11/20/2022] Open
Abstract
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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Affiliation(s)
| | - Yasharth Yadav
- The Institute of Mathematical Sciences (IMSc), Chennai, India
- Indian Institute of Science Education and Research (IISER), Pune, India
| | - Nitin Williams
- Department of Computer Science, Helsinki Institute of Information Technology, Aalto University, Espoo, Finland.
- Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.
| | - Emil Saucan
- Department of Applied Mathematics, ORT Braude College, Karmiel, Israel
| | - Jürgen Jost
- Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
- The Santa Fe Institute, Santa Fe, NM, USA
| | - Areejit Samal
- The Institute of Mathematical Sciences (IMSc), Chennai, India.
- Homi Bhabha National Institute (HBNI), Mumbai, India.
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3
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Williamson JR, Sturim D, Vian T, Lacirignola J, Shenk TE, Yuditskaya S, Rao HM, Talavage TM, Heaton KJ, Quatieri TF. Using Dynamics of Eye Movements, Speech Articulation and Brain Activity to Predict and Track mTBI Screening Outcomes. Front Neurol 2021; 12:665338. [PMID: 34295299 PMCID: PMC8289895 DOI: 10.3389/fneur.2021.665338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 06/09/2021] [Indexed: 11/24/2022] Open
Abstract
Repeated subconcussive blows to the head during sports or other contact activities may have a cumulative and long lasting effect on cognitive functioning. Unobtrusive measurement and tracking of cognitive functioning is needed to enable preventative interventions for people at elevated risk of concussive injury. The focus of the present study is to investigate the potential for using passive measurements of fine motor movements (smooth pursuit eye tracking and read speech) and resting state brain activity (measured using fMRI) to complement existing diagnostic tools, such as the Immediate Post-concussion Assessment and Cognitive Testing (ImPACT), that are used for this purpose. Thirty-one high school American football and soccer athletes were tracked through the course of a sports season. Hypotheses were that (1) measures of complexity of fine motor coordination and of resting state brain activity are predictive of cognitive functioning measured by the ImPACT test, and (2) within-subject changes in these measures over the course of a sports season are predictive of changes in ImPACT scores. The first principal component of the six ImPACT composite scores was used as a latent factor that represents cognitive functioning. This latent factor was positively correlated with four of the ImPACT composites: verbal memory, visual memory, visual motor speed and reaction speed. Strong correlations, ranging between r = 0.26 and r = 0.49, were found between this latent factor and complexity features derived from each sensor modality. Based on a regression model, the complexity features were combined across sensor modalities and used to predict the latent factor on out-of-sample subjects. The predictions correlated with the true latent factor with r = 0.71. Within-subject changes over time were predicted with r = 0.34. These results indicate the potential to predict cognitive performance from passive monitoring of fine motor movements and brain activity, offering initial support for future application in detection of performance deficits associated with subconcussive events.
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Affiliation(s)
- James R Williamson
- Human Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Doug Sturim
- Human Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Trina Vian
- Counter-WMD Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Joseph Lacirignola
- Counter-WMD Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Trey E Shenk
- Advanced RF Techniques & Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Sophia Yuditskaya
- Human Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Hrishikesh M Rao
- Human Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States
| | - Thomas M Talavage
- Electrical and Computer Engineering/Biomedical Engineering, Purdue University, West Lafayette, IN, United States
| | - Kristin J Heaton
- Military Performance Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States
| | - Thomas F Quatieri
- Human Health and Performance Systems, MIT Lincoln Laboratory, Lexington, MA, United States
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4
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Verma P, Lahiri U. Deficits in Handwriting of Individuals with Autism: a Review on Identification and Intervention Approaches. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2021. [DOI: 10.1007/s40489-020-00234-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Elliott D, Lyons J, Hayes SJ, Burkitt JJ, Hansen S, Grierson LEM, Foster NC, Roberts JW, Bennett SJ. The multiple process model of goal-directed aiming/reaching: insights on limb control from various special populations. Exp Brain Res 2020; 238:2685-2699. [PMID: 33079207 DOI: 10.1007/s00221-020-05952-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 10/08/2020] [Indexed: 12/28/2022]
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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Affiliation(s)
- Digby Elliott
- Department of Kinesiology, McMaster University, Hamilton, ON, L8S 4K1, Canada.
- Brain and Behaviour Laboratory, Liverpool John Moores University, Liverpool, UK.
| | - James Lyons
- Department of Kinesiology, McMaster University, Hamilton, ON, L8S 4K1, Canada
| | - Spencer J Hayes
- Department of Psychology and Human Development, University College London, London, UK
| | | | - Steve Hansen
- School of Physical and Health Education, Nipissing University, North Bay, ON, Canada
| | - Lawrence E M Grierson
- Department of Kinesiology, McMaster University, Hamilton, ON, L8S 4K1, Canada
- Department of Family Medicine, McMaster University, Hamilton, ON, Canada
| | - Nathan C Foster
- Cognition, Motion and Neuroscience Unit, Fondazione Istituto Italiano di Tecnologia, Genova, Italy
| | - James W Roberts
- Brain and Behaviour Laboratory, Liverpool John Moores University, Liverpool, UK
| | - Simon J Bennett
- Brain and Behaviour Laboratory, Liverpool John Moores University, Liverpool, UK
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Talkar T, Williamson JR, Hannon D, Rao HM, Yuditskaya S, Claypool K, Sturim D, Nowinski L, Saro H, Stamm C, Mody M, McDougle CJ, Quatieri TF. Assessment of speech and fine motor coordination in children with autism spectrum disorder. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020; 8:127535-127545. [PMID: 33747676 PMCID: PMC7971182 DOI: 10.1109/access.2020.3007348] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Autism Spectrum Disorder (ASD) is a developmental disorder characterized by difficulty in communication, which includes a high incidence of speech production errors. We hypothesize that these errors are partly due to underlying deficits in motor coordination and control, which are also manifested in degraded fine motor control of facial expressions and purposeful hand movements. In this pilot study, we computed correlations of acoustic, video, and handwriting time-series derived from five children with ASD and five children with neurotypical development during speech and handwriting tasks. These correlations and eigenvalues derived from the correlations act as a proxy for motor coordination across articulatory, laryngeal, and respiratory speech production systems and for fine motor skills. We utilized features derived from these correlations to discriminate between children with and without ASD. Eigenvalues derived from these correlations highlighted differences in complexity of coordination across speech subsystems and during handwriting, and helped discriminate between the two subject groups. These results suggest differences in coupling within speech production and fine motor skill systems in children with ASD. Our long-term goal is to create a platform assessing motor coordination in children with ASD in order to track progress from speech and motor interventions administered by clinicians.
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Affiliation(s)
- Tanya Talkar
- Speech and Hearing Bioscience & Technology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - James R Williamson
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - Daniel Hannon
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - Hrishikesh M Rao
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - Sophia Yuditskaya
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - Kajal Claypool
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - Douglas Sturim
- Artificial Intelligence Technology and Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
| | - Lisa Nowinski
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA
| | - Hannah Saro
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA
| | - Carol Stamm
- Massachusetts General Hospital Lurie Center for Autism, Lexington, MA, 02421, USA
| | - Maria Mody
- Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, 02129, USA; Harvard Medical School, Boston, MA, 02115
| | | | - Thomas F Quatieri
- Speech and Hearing Bioscience & Technology, Division of Medical Sciences, Harvard Medical School, Boston, MA 02115, USA
- Human Health and Performance Systems, Massachusetts Institute of Technology Lincoln Laboratory, Lexington, MA 02142, USA
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Baillin F, Lefebvre A, Pedoux A, Beauxis Y, Engemann DA, Maruani A, Amsellem F, Kelso JAS, Bourgeron T, Delorme R, Dumas G. Interactive Psychometrics for Autism With the Human Dynamic Clamp: Interpersonal Synchrony From Sensorimotor to Sociocognitive Domains. Front Psychiatry 2020; 11:510366. [PMID: 33324246 PMCID: PMC7725713 DOI: 10.3389/fpsyt.2020.510366] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 10/12/2020] [Indexed: 12/27/2022] Open
Abstract
The human dynamic clamp (HDC) is a human-machine interface designed on the basis of coordination dynamics for studying realistic social interaction under controlled and reproducible conditions. Here, we propose to probe the validity of the HDC as a psychometric instrument for quantifying social abilities in children with autism spectrum disorder (ASD) and neurotypical development. To study interpersonal synchrony with the HDC, we derived five standardized scores following a gradient from sensorimotor and motor to higher sociocognitive skills in a sample of 155 individuals (113 participants with ASD, 42 typically developing participants; aged 5 to 25 years; IQ > 70). Regression analyses were performed using normative modeling on global scores according to four subconditions (HDC behavior "cooperative/competitive," human task "in-phase/anti-phase," diagnosis, and age at inclusion). Children with ASD had lower scores than controls for motor skills. HDC motor coordination scores were the best candidates for stratification and diagnostic biomarkers according to exploratory analyses of hierarchical clustering and multivariate classification. Independently of phenotype, sociocognitive skills increased with developmental age while being affected by the ongoing task and HDC behavior. Weaker performance in ASD for motor skills suggests the convergent validity of the HDC for evaluating social interaction. Results provided additional evidence of a relationship between sensorimotor and sociocognitive skills. HDC may also be used as a marker of maturation of sociocognitive skills during real-time social interaction. Through its standardized and objective evaluation, the HDC not only represents a valid paradigm for the study of interpersonal synchrony but also offers a promising, clinically relevant psychometric instrument for the evaluation and stratification of sociomotor dysfunctions.
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Affiliation(s)
- Florence Baillin
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France.,Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
| | - Aline Lefebvre
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France.,Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
| | - Amandine Pedoux
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
| | - Yann Beauxis
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France
| | - Denis A Engemann
- Parietal Project-Team, INRIA Saclay - Île de France, Palaiseau, France
| | - Anna Maruani
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
| | - Frédérique Amsellem
- Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
| | - J A Scott Kelso
- Human Brain and Behavior Laboratory, Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL, United States.,Intelligent Systems Research Centre, University of Ulster, Derry Londonderry, United Kingdom
| | - Thomas Bourgeron
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France
| | - Richard Delorme
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France.,Child and Adolescent Psychiatry Department, Robert Debré Hospital, Paris, France
| | - Guillaume Dumas
- Human Genetics and Cognitive Functions, Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France.,Human Brain and Behavior Laboratory, Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL, United States.,Department of Psychiatry, Université de Montréal, Montreal, QC, Canada.,CHU Sainte-Justine Centre de Recherche, Precision Psychiatry and Social Physiology Laboratory, Montreal, QC, Canada
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Being misunderstood in autism: The role of motor disruption in expressive communication, implications for satisfying social relations. Behav Brain Sci 2019. [DOI: 10.1017/s0140525x1800242x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractJaswal & Akhtar's outstanding target article identifies the necessary social nature of the human mind, even in autism. We agree with the authors and present significant contributory origins of this autistic isolation in disruption of purposeful movement made social from infancy. Timing differences in expression can be misunderstood in embodied engagement, and social intention misread. Sensitive relations can repair this.
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