Understanding Wellbeing Profiles According to White Matter Structural Connectivity Sub-types in Early Adolescents

The First Hundred Brains Cohort from the Longitudinal Adolescent Brain Study

Bibliographic Data

ID10922701
AuthorsChristina Driver (0000-0002-5564-022X, University of the Sunshine Coast, corresponding author), Amanda Boyes (0000-0001-9444-4718, University of the Sunshine Coast), Abdalla Z Mohamed (0000-0003-4499-672X, University of the Sunshine Coast), Jacob M Levenstein (0000-0002-4867-4886, University of the Sunshine Coast), Marcella Parker (0000-0001-5635-9942, University of the Sunshine Coast), Daniel F Hermens (0000-0002-8570-2663, University of the Sunshine Coast)
Year2024
Volume53
Issue5
Pages1029-1046
Publication date2024-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Youth and Adolescence (JOURNAL)
Journal identifiersISSN: 0047-2891 • E-ISSN: 1573-6601
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s10964-024-01939-2
PMID38217837
OpenAlexW4390838765
LanguageEN
Citations received2
References cited71

Wellbeing is protective against the emergence of psychopathology. Neurobiological markers associated with mental wellbeing during adolescence are important to understand. Limited research has examined neural networks (white matter tracts) and mental wellbeing in early adolescence specifically. A cross-sectional diffusion tensor imaging analysis approach was conducted, from the Longitudinal Adolescent Brain study, First Hundred Brains cohort ( N = 99; 46.5% female; M age = 13.01, SD = 0.55). Participants completed self-report measures including wellbeing, quality-of-life, and psychological distress. Potential neurobiological profiles using fractional anisotropy, axial, and radial diffusivity were determined via a whole brain voxel-wise approach, and hierarchical cluster analysis of fractional anisotropy values, obtained from 21 major white matter tracts. Three cluster groups with significantly different neurobiological profiles were distinguished. No significant differences were found between the three cluster groups and measures of wellbeing, but two left lateralized significant associations between white matter tracts and wellbeing measures were found. These results provide preliminary evidence for potential neurobiological markers of mental health and wellbeing in early adolescence and should be tracked longitudinally to provide more detailed and robust findings

Cohort · Developmental psychology · Diffusion MRI · Fractional anisotropy · Longitudinal study · Magnetic resonance imaging · Mental health · Pathology · Psychiatry · Psychopathology · White matter · Advanced Neuroimaging Techniques and Applications · Clinical Psychology · Functional Brain Connectivity Studies · Health disparities and outcomes · Internal Medicine · Medicine · Psychology

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