% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Hirjak:306584,
      author       = {D. Hirjak and S. Volkmer and R. Peretzke$^*$ and A.
                      Meyer-Lindenberg and K. H. Maier-Hein$^*$ and P. Neher$^*$},
      title        = {{D}elineating white matter phenotypes of
                      sensori-/psychomotor functioning in large-scale cohorts of
                      healthy individuals and patients with mental disorders
                      across the lifespan (white{SPAN}): rationale and methods of
                      an interdisciplinary bicentric project.},
      journal      = {European archives of psychiatry and clinical neuroscience},
      volume       = {nn},
      issn         = {0003-9373},
      address      = {Darmstadt},
      publisher    = {Steinkopff},
      reportid     = {DKFZ-2025-02625},
      pages        = {nn},
      year         = {2025},
      note         = {ISSN 1433-8491 / #LA:E230# / epub},
      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.},
      keywords     = {Deep learning (Other) / Diffusion MRI (Other) / Large-scale
                      data (Other) / Machine learning (Other) / Neuroimaging
                      (Other) / Psychomotor (Other)},
      cin          = {E230 / HD01},
      ddc          = {610},
      cid          = {I:(DE-He78)E230-20160331 / I:(DE-He78)HD01-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41288695},
      doi          = {10.1007/s00406-025-02138-1},
      url          = {https://inrepo02.dkfz.de/record/306584},
}