Vascular risk factors, white matter microstructure, and depressive symptoms: a longitudinal analysis in the UK Biobank.

UK Biobank depression mediation vascular depression vascular risk factors white matter

Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
05 Apr 2023
Historique:
entrez: 5 4 2023
pubmed: 6 4 2023
medline: 6 4 2023
Statut: aheadofprint

Résumé

Cumulative burden from vascular risk factors (VRFs) has been associated with an increased risk of depressive symptoms in mid- and later life. It has been hypothesised that this association arises because VRFs disconnect fronto-subcortical white matter tracts involved in mood regulation, which puts older adults at higher risk of developing depressive symptoms. However, evidence for the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms from longitudinal studies is scarce. This preregistered study analysed longitudinal data from 6,964 middle-aged and older adults from the UK Biobank who participated in consecutive assessments of VRFs, brain imaging, and depressive symptoms. Using mediation modelling, we directly tested to what extend white matter microstructure mediates the longitudinal association between VRF burden and depressive symptoms. VRF burden showed a small association with depressive symptoms at follow-up. However, there was no evidence that fractional anisotropy (FA) of white matter tracts mediated this association. Additional analyses also yielded no mediating effects using alternative operationalisations of VRF burden, mean diffusivity (MD) of single tracts, or overall average of tract-based white matter microstructure (global FA, global MD, white matter hyperintensity volume). Our results lend no support to the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms, while highlighting the relevance of using longitudinal data to directly test pathways linking vascular and mental health.

Sections du résumé

BACKGROUND BACKGROUND
Cumulative burden from vascular risk factors (VRFs) has been associated with an increased risk of depressive symptoms in mid- and later life. It has been hypothesised that this association arises because VRFs disconnect fronto-subcortical white matter tracts involved in mood regulation, which puts older adults at higher risk of developing depressive symptoms. However, evidence for the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms from longitudinal studies is scarce.
METHODS METHODS
This preregistered study analysed longitudinal data from 6,964 middle-aged and older adults from the UK Biobank who participated in consecutive assessments of VRFs, brain imaging, and depressive symptoms. Using mediation modelling, we directly tested to what extend white matter microstructure mediates the longitudinal association between VRF burden and depressive symptoms.
RESULTS RESULTS
VRF burden showed a small association with depressive symptoms at follow-up. However, there was no evidence that fractional anisotropy (FA) of white matter tracts mediated this association. Additional analyses also yielded no mediating effects using alternative operationalisations of VRF burden, mean diffusivity (MD) of single tracts, or overall average of tract-based white matter microstructure (global FA, global MD, white matter hyperintensity volume).
CONCLUSIONS CONCLUSIONS
Our results lend no support to the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms, while highlighting the relevance of using longitudinal data to directly test pathways linking vascular and mental health.

Identifiants

pubmed: 37016768
doi: 10.1017/S0033291723000697
pii: S0033291723000697
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-11

Auteurs

Maria Blöchl (M)

Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
International Max Planck Research School: Neuroscience of Communication: Structure, Function, and Plasticity, Leipzig, Germany.
Department of Psychology, University of Münster, Münster, Germany.

H Lina Schaare (HL)

Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich, Germany.

Deniz Kumral (D)

Institute of Psychology, Neuropsychology, University of Freiburg, Freiburg, Germany.
Clinical Psychology and Psychotherapy Unit, Institute of Psychology, University of Freiburg, Freiburg, Germany.

Michael Gaebler (M)

Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Faculty of Philosophy, Humboldt-Universität zu Berlin, Berlin School of Mind and Brain, MindBrainBody Institute.
Max Planck Dahlem Campus of Cognition, Berlin, Germany.

Steffen Nestler (S)

Department of Psychology, University of Münster, Münster, Germany.

Arno Villringer (A)

Department for Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Clinic for Cognitive Neurology, University Clinic Leipzig, Leipzig, Germany.
Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Classifications MeSH