Delineating white matter phenotypes of sensori-/psychomotor functioning in large-scale cohorts of healthy individuals and patients with mental disorders across the lifespan (whiteSPAN): rationale and methods of an interdisciplinary bicentric project.
Authors
Affiliations (10)
Affiliations (10)
- Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany. [email protected].
- German Centre for Mental Health (DZPG), Partner site Mannheim, Mannheim, Germany. [email protected].
- Department of Psychiatry and Psychotherapy, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
- German Centre for Mental Health (DZPG), Partner site Mannheim, Mannheim, Germany.
- Hector Institute for Artificial Intelligence in Psychiatry, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany.
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
- Medical Faculty, Heidelberg University, Heidelberg, Germany.
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
- National Center for Tumor Diseases (NCT), NCT Heidelberg, DKFZ and University Medical Center Heidelberg, Heidelberg, Germany.
- German Cancer Consortium (DKTK), Heidelberg, Germany.
Abstract
Aberrant sensori-/psychomotor functioning-including muscular hand weakness, sedentary behavior, psychomotor agitation, slowing, agitation, apathy, and anxiety-is increasingly recognized as a transdiagnostic feature across mental and neurodegenerative disorders. Objectively measured sensori-/psychomotor abnormalities serve as rapid, noninvasive indicators of cognitive and affective dysfunction, yet large-scale neuroimaging studies examining their white matter (WM) correlates remain limited. This bi-centric research project aims to investigate associations between sensori-/psychomotor functioning and WM microstructure across anxiety disorders (AD), major depressive disorder (MDD), schizophrenia spectrum disorders (SSD), mild cognitive impairment (MCI), and Alzheimer's disease (AD). We will analyze diffusion MRI data from over 2,400 healthy individuals and 1,600 patients, combining publicly available datasets (e.g., Human Connectome Project, Alzheimer's Disease Neuroimaging Initiative) with in-house cohorts comprising >400 deeply-phenotyped SSD and MDD patients. A major strength of the project lies in the harmonization of psychopathological rating scales and sensori-/psychomotor assessments across these populations. Using advanced computational tools-including tractometry, tractomics, normative modeling, and deep learning-we aim to map a WM phenotype of sensori-/psychomotor dysfunction across the lifespan. Multivariate taxometric approaches will help identify biologically informed sensori-/psychomotor biotypes that cut across traditional diagnostic boundaries. By distinguishing disorder-specific WM changes from normative developmental and aging processes, this project seeks to inform precision medicine approaches and guide biomarker-driven interventions for mental and neurodegenerative disorders.