Journal article
A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence
NeuroImage, Vol.258, pp.1-10
2022
PMID: 35700948
Appears in Thompson Institute Research Collection
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Brain ‘fingerprinting’ provides insights into mental health of young adolescents
USC NewsAbstract
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 (í µí»½ =-18.6, FDR-Q < < 0.001) with K10 levels at the subsequent time point. This association suggests that the individualisation of CON network is related to psychological distress levels. Our findings highlight the potential of longitudinal neuroimaging to capture mental health problems in young people who are undergoing profound neuroplasticity and environment sensitivity period.
Details
- Title
- A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence
- Authors
- Zack Shan (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteAbdalla Z Mohamed (Author) - University of the Sunshine Coast, Queensland, Thompson InstitutePaul Schwenn (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteLarisa McLoughlin (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteAmanda Boyes (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteDashiell Sacks (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteChristina Driver (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteVince D. Calhoun (Author) - Georgia State UniversityJim Lagopoulos (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteDaniel Hermens (Author) - University of the Sunshine Coast, Queensland, Thompson Institute
- Publication details
- NeuroImage, Vol.258, pp.1-10
- Publisher
- Elsevier BV
- Date published
- 2022
- DOI
- 10.1016/j.neuroimage.2022.119358
- ISSN
- 1095-9572
- PMID
- 35700948
- Organisation Unit
- Graduate Research School; Thompson Institute
- Language
- English
- Record Identifier
- 99649779202621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Neuroimaging
- Neurosciences
- Radiology, Nuclear Medicine & Medical Imaging
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