Brain community detection in the general children population

The fingerprint is known to be unique in every individual, and there is evidence that such individuality exists with the brain. Neuroimaging studies that research brain fingerprint patterns typically consider relationships between individuals and their brain patterns. However, there remains a questi...

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Bibliographic Details
Main Authors: Farahdel, Britny, Thapaliya, Bishal, Suresh, Pranav, Ray, Bhaskar, Calhoun, Vince D., Liu, Jingyu
Format: Conference Proceeding
Language:English
Subjects:
Engineering in medicine and biology
Feature extraction
Fingerprint recognition
Multiplexing
Neuroimaging
Pediatrics
Psychology
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Summary:The fingerprint is known to be unique in every individual, and there is evidence that such individuality exists with the brain. Neuroimaging studies that research brain fingerprint patterns typically consider relationships between individuals and their brain patterns. However, there remains a question as to how such fingerprint patterns can be grouped among the general population. In this study, we implemented clustering-based methods to evaluate whether such subgrouping exists among individuals and evaluated the relationships between these clusters and individuals' developmental, cognitive, demographical, psychological status in the Adolescent Brain and Cognitive Development study cohort. Multiplex community detection and K-means clustering revealed the existence of clusters in our cohort, as well as significant group differences between these clusters in these datasets, indicative of heterogeneous subgrouping of brain fingerprint patterns in the general population.
ISSN:2694-0604
DOI:10.1109/EMBC53108.2024.10782157