Date of Award
5-1-2024
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Jingyu Liu
Second Advisor
Vince Calhoun
Third Advisor
Armin Iraji
Abstract
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.
DOI
https://doi.org/10.57709/36974806
Recommended Citation
Farahdel, Britny, "Detection of Brain Communities in the General Children Population." Thesis, Georgia State University, 2024.
doi: https://doi.org/10.57709/36974806
File Upload Confirmation
1