% 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{Cash:1006765,
      author       = {Cash, Robin F. H. and Müller, Veronika I. and Fitzgerald,
                      Paul B. and Eickhoff, Simon B. and Zalesky, Andrew},
      title        = {{A}ltered brain activity in unipolar depression unveiled
                      using connectomics},
      journal      = {Nature Mental Health},
      volume       = {1},
      number       = {3},
      issn         = {2731-6076},
      address      = {London},
      publisher    = {Nature Publishing Group UK},
      reportid     = {FZJ-2023-01823},
      pages        = {174 - 185},
      year         = {2023},
      abstract     = {Over 20 years of neuroimaging experiments into aberrant
                      task-based brain activity in unipolar depression have failed
                      to reliably delineate a convergent set of anatomical
                      regions. Here we examined whether study-derived coordinates
                      might delineate a dysfunctional brain network in unipolar
                      depression rather than isolated neuroanatomical foci,
                      utilizing data from 57 studies with 99 individual
                      neuroimaging task-based experiments, testing either
                      emotional or cognitive processing (n = 1,058). We
                      further assessed clinical relevance by computing optimal
                      network-based personalized targets in 26 individuals who
                      previously received transcranial magnetic stimulation for
                      unipolar depression. Although coordinates were
                      neuroanatomically heterogeneous, they localized to highly
                      robust distributed brain networks. Importantly, these
                      networks closely recapitulated clinically meaningful and
                      independently derived models of depression circuitry,
                      quantified by spatial correlation (P < 0.00002).
                      Therapeutic outcome of transcranial magnetic stimulation was
                      dependent on how effectively this circuit was targeted
                      (P = 0.018). These findings indicate that neuroimaging
                      findings in depression, which previously appeared
                      irreconcilable, localize to highly robust and clinically
                      meaningful distributed brain networks.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001390100900003},
      doi          = {10.1038/s44220-023-00038-8},
      url          = {https://juser.fz-juelich.de/record/1006765},
}