Conference proceeding
Analysis of Structural Brain Network Topology Alterations in Autism and its Relationship with Autism Severity
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), v 2023-, pp 1-4
18 Apr 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Autism Spectrum Disorder (ASD) is a public health concern ranging along a continuum of severity. The neurobiological motives behind ASD have been widely explored with reports about aberrant brain anatomy and functional connectivity. However, research on the underlying structural connectivity alterations is limited. We propose the application of a novel connectomic measure called Network Normality Score (NNS) to identify brain abnormalities and quantity topological dissimilarities in individuals with ASD. We show that the network topology of structural connectivity is altered in ASD brains relative to healthy controls at the global and system levels. We demonstrate that structural connectivity differences are more pronounced in certain subnetworks. Finally, we quantify the association between network similarity and behavioral autism severity to show the efficacy of NNS as a neuroimaging measure.
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Details
- Title
- Analysis of Structural Brain Network Topology Alterations in Autism and its Relationship with Autism Severity
- Creators
- Abhishek S. Jeyapratap - Drexel UniversityDrew Parker - California University of PennsylvaniaBenjamin E. Yerys - Children's Hospital of PhiladelphiaRagini Verma - California University of PennsylvaniaYusuf Osmanlioglu - Drexel University
- Publication Details
- 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), v 2023-, pp 1-4
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:001062050500492
- Scopus ID
- 2-s2.0-85172074864
- Other Identifier
- 991021869113604721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging