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Related Concept Videos

Autism Spectrum Disorder01:19

Autism Spectrum Disorder

79
Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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Cortical morphological networks for profiling autism spectrum disorder using tensor component analysis.

Kubra Cengiz1,2, Islem Rekik1

  • 1Faculty of Computer and Informatics, Istanbul Technical University, İstanbul, Türkiye.

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|July 19, 2024
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Summary

Autism Spectrum Disorder (ASD) alters brain structure, affecting cortical morphology networks. This study identifies key brain connectivity patterns in individuals with ASD using advanced MRI techniques, linking them to clinical features.

Keywords:
autism spectrum disorderbrain connectivitycortical morphological networksmulti-view profilingtensor component analysis

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Area of Science:

  • Neuroscience
  • Network Neuroscience
  • Medical Imaging

Background:

  • Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by altered cortical morphology at multiple levels.
  • Existing methods often examine cortical regions individually or in pairs, potentially missing complex network interactions.
  • Multi-view cortical morphological networks (CMNs) offer a novel approach to analyze brain structure relationships across different attributes and views.

Purpose of the Study:

  • To profile autistic and typical brains using multi-view CMNs derived from T1-weighted MRI.
  • To identify representative morphological connectivities shared across different cortical views in both autistic and normal control (NC) populations.
  • To explore the relationship between identified connectivities and clinical features of ASD.

Main Methods:

  • Utilized T1-weighted magnetic resonance imaging (MRI) to construct multi-view cortical morphological networks (CMNs).
  • Employed tensor component analysis to identify shared, representative morphological connectivities across different CMN views.
  • Analyzed CMNs for both autistic and normal control (NC) populations, examining left and right hemispheres.

Main Results:

  • Identified distinct connectional profiles for NC and ASD populations across multi-view CMNs.
  • Cortical thickness emerged as a key attribute for assessing abnormal brain structures in ASD.
  • Discovered representative morphological connectivities within the temporal, frontal, and insular lobes of individuals with ASD.

Conclusions:

  • Multi-view CMNs provide a powerful framework for fingerprinting cortical morphology in neurodevelopmental disorders.
  • Specific morphological connectivities, particularly related to cortical thickness, are altered in ASD.
  • These findings link brain structure alterations to observable clinical features in individuals with ASD.