Bibliographic Details
| Title: |
A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence |
| Authors: |
Zack Y Shan, Abdalla Z Mohamed, Paul Schwenn, Larisa T McLoughlin, Amanda Boyes, Dashiell D Sacks, Christina Driver, Vince D. Calhoun, Jim Lagopoulos, Daniel F Hermens |
| Source: |
NeuroImage, Vol 258, Iss , Pp 119358- (2022) |
| Publisher Information: |
Elsevier, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Neurosciences. Biological psychiatry. Neuropsychiatry |
| Subject Terms: |
Uniqueness, Functional connectome, Resting state fMRI, Psychological distress, Adolescence, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571 |
| More Details: |
Each human brain has a unique functional synchronisation pattern (functional connectome) analogous to a fingerprint that underpins brain functions and related behaviours. Here we examine functional connectome (whole-brain and 13 networks) maturation by measuring its uniqueness in adolescents who underwent brain scans longitudinally from 12 years of age every four months. The uniqueness of a functional connectome is defined as its ratio of self-similarity (from the same subject at a different time point) to the maximal similarity-to-others (from a given subject and any others at a different time point). We found that the unique whole brain connectome exists in 12 years old adolescents, with 92% individuals having a whole brain uniqueness value greater than one. The cingulo-opercular network (CON; a long-acting ‘brain control network’ configuring information processing) demonstrated marginal uniqueness in early adolescence with 56% of individuals showing uniqueness greater than one (i.e., more similar to her/his own CON four months later than those from any other subjects) and this increased longitudinally. Notably, the low uniqueness of the CON correlates (β = -18.6, FDR-Q |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1095-9572 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S1053811922004773; https://doaj.org/toc/1095-9572 |
| DOI: |
10.1016/j.neuroimage.2022.119358 |
| Access URL: |
https://doaj.org/article/3a8280a4970a4e26976bf524060e3c2a |
| Accession Number: |
edsdoj.3a8280a4970a4e26976bf524060e3c2a |
| Database: |
Directory of Open Access Journals |
