Journal article
EEG-based clusters differentiate psychological distress, sleep quality and cognitive function in adolescents
Biological Psychology, Vol.173, pp.1-16
2022
PMID: 35908602
Appears in Thompson Institute Research Collection
Abstract
Introduction:
To better understand the relationships between neurophysiology, cognitive function and psychopathology risk in adolescence there is value in identifying data-driven subgroups based on measurements of brain activity and function, and then comparing cognition and mental health between such subgroups.
Methods:
We developed a flexible and scaleable multi-stage analysis pipeline to identify data-driven clusters of 12-year-olds (M = 12.64, SD = 0.32) based on frequency characteristics calculated from resting state, eyes-closed electroencephalography (EEG) recordings. For this preliminary cross-sectional study, EEG data was collected from 59 individuals in the Longitudinal Adolescent Brain Study (LABS) being undertaken in Queensland, Australia. Applying multiple unsupervised clustering algorithms to these EEG features, we identified well-separated subgroups of individuals. To study patterns of difference in cognitive function and mental health symptoms between clusters, we applied Bayesian regression models to probabilistically identify differences in these measures between clusters.
Results:
We identified 5 core clusters associated with distinct subtypes of resting state EEG frequency content. Bayesian models demonstrated substantial differences in psychological distress, sleep quality and cognitive function between clusters. By examining associations between neurophysiology and health measures across clusters, we have identified preliminary risk and protective profiles linked to EEG characteristics.
Conclusion:
This method provides the potential to identify neurophysiological subgroups of adolescents in the general population based on resting state EEG, and associated patterns of health and cognition that are not observed at the whole group level. This approach offers potential utility in clinical risk prediction for mental and cognitive health outcomes throughout adolescent development.
Details
- Title
- EEG-based clusters differentiate psychological distress, sleep quality and cognitive function in adolescents
- Authors
- Owen Forbes (Corresponding Author) - Queensland University of TechnologyPaul Schwenn (Author) - University of the Sunshine Coast, Queensland, Thompson InstitutePaul Pao-Yen Wu (Author) - Queensland University of TechnologyEdgar Santos-Fernandez (Author) - Queensland University of TechnologyHong-Bo Xie (Author) - Queensland University of TechnologyJim Lagopoulos (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteLarisa McLoughlin (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteDashiell Sacks (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteKerrie Mengersen (Author) - Queensland University of TechnologyDaniel Hermens (Author) - University of the Sunshine Coast, Queensland, Thompson Institute
- Publication details
- Biological Psychology, Vol.173, pp.1-16
- Publisher
- Elsevier BV
- Date published
- 2022
- DOI
- 10.1016/j.biopsycho.2022.108403
- ISSN
- 1873-6246
- PMID
- 35908602
- Organisation Unit
- Thompson Institute
- Language
- English
- Record Identifier
- 99659798802621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Behavioral Sciences
- Psychology
- Psychology, Biological
- Psychology, Experimental
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