Structure-function coupling in network connectivity and associations with negative affectivity in a group of transdiagnostic adolescents

The study of brain connectivity, both functional and structural, can inform us on the development of psychopathology. The use of multimodal MRI methods allows us to study associations between structural and functional connectivity, and how this relates to psychopathology. This may be especially useful during childhood and adolescence, a period where most forms of psychopathology manifest for the first time. The current paper explores structure-function coupling, measured through diffusion and resting-state functional MRI, and quantified as the correlation between structural and functional connectivity matrices. We investigate associations between psychopathology and coupling in a transdiagnostic group of adolescents, including many treatment-seeking youth with relatively high levels of symptoms (<i>n</i> = 72, M<sub>age</sub> = 13.3). We used a bifactor model to extract our main outcome measure, Negative Affectivity, from anxiety and irritability ratings. This provided the principal measure of psychopathology. Supplementary analyses investigated 'domain-specific' factors of anxiety and irritability. Findings indicate a positive association between negative affectivity and structure-function coupling between the default mode and the fronto-parietal control networks. Higher structure-function coupling may indicate heightened structural constraints on function, which limit functional network reorganization during adolescence required for healthy psychological outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Mood and Anxiety Disorders
Published
2024-11-20
DOI
https://doi.org/10.1016/j.xjmad.2024.100094
Citations
2
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
1.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structure-function coupling in network connectivity and associations with negative affectivity in a group of transdiagnostic adolescents

Anderson M. Winkler, Daniel S. Pine, Elise M. Cardinale, Katharina Kircanski et al.
2 citations
Journal of Mood and Anxiety Disorders
Mental Health Research Topics
1.02
article

Structure-function coupling in network connectivity and associations with negative affectivity in a group of transdiagnostic adolescents

Anderson M. Winkler, Daniel S. Pine, Elise M. Cardinale, Katharina Kircanski, Julia Linke, Melissa A. Brotman, Dana Kanel, André Zugman, Nathan A. Fox, Grace M Stohr, Beck Scheinberg
article en
2 citations

Abstract

The study of brain connectivity, both functional and structural, can inform us on the development of psychopathology. The use of multimodal MRI methods allows us to study associations between structural and functional connectivity, and how this relates to psychopathology. This may be especially useful during childhood and adolescence, a period where most forms of psychopathology manifest for the first time. The current paper explores structure-function coupling, measured through diffusion and resting-state functional MRI, and quantified as the correlation between structural and functional connectivity matrices. We investigate associations between psychopathology and coupling in a transdiagnostic group of adolescents, including many treatment-seeking youth with relatively high levels of symptoms (<i>n</i> = 72, M<sub>age</sub> = 13.3). We used a bifactor model to extract our main outcome measure, Negative Affectivity, from anxiety and irritability ratings. This provided the principal measure of psychopathology. Supplementary analyses investigated 'domain-specific' factors of anxiety and irritability. Findings indicate a positive association between negative affectivity and structure-function coupling between the default mode and the fronto-parietal control networks. Higher structure-function coupling may indicate heightened structural constraints on function, which limit functional network reorganization during adolescence required for healthy psychological outcomes.

Journal of Mood and Anxiety DisordersVol. 9
National Institutes of Health (US), Pennsylvania State University (US), University of Freiburg (DE), University of America (US), The University of Texas Rio Grande Valley (US), National Institute of Mental Health (US), University of Maryland, College Park (US), Catholic University of America (US)
National Institute of Mental Health
Openalex Percentile: Top 20%
Mental Health Research Topics
1.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.