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@ARTICLE{Grot:911694,
      author       = {Grot, Stéphanie and Smine, Salima and Potvin, Stéphane
                      and Darcey, Maëliss and Pavlov, Vilena and Genon, Sarah and
                      Nguyen, Hien and Orban, Pierre},
      title        = {{L}abel-based meta-analysis of functional brain
                      dysconnectivity across mood and psychotic disorders},
      journal      = {medRxiv},
      reportid     = {FZJ-2022-04948},
      year         = {2022},
      abstract     = {BACKGROUND Psychiatric diseases are increasingly
                      conceptualized as brain network disorders. Hundreds of
                      resting-state functional magnetic resonance imaging (rsfMRI)
                      studies have revealed patterns of functional brain
                      dysconnectivity in disorders such as major depression
                      disorder (MDD), bipolar disorder (BD) and schizophrenia
                      (SZ). Although these disorders have been mostly studied in
                      isolation, there is mounting evidence of shared
                      neurobiological alterations across disorders.METHODS To
                      uncover the nature of the relatedness between these
                      psychiatric disorders, we conducted an innovative
                      meta-analysis of past functional brain dysconnectivity
                      findings obtained separately in MDD, BD and SZ. Rather than
                      relying on a classical coordinate-based approach at the
                      voxel level, our procedure extracted relevant
                      neuroanatomical labels from text data and reported findings
                      at the whole brain network level. Data were drawn from 428
                      rsfMRI studies investigating MDD (158 studies, 7429 patients
                      / 7414 controls), BD (81 studies, 3330 patients / 4096
                      patients) and/or SZ (223 studies, 11168 patients / 11754
                      controls). Permutation testing revealed commonalities and
                      specificities in hypoconnectivity and hyperconnectivity
                      patterns across disorders.RESULTS Among 78 connections
                      within or between 12 cortico-subcortical networks,
                      hypoconnectivity and hyperconnectivity patterns of
                      higher-order cognitive (default-mode, fronto-parietal,
                      cingulo-opercular) networks were similarly observed across
                      the 3 disorders. By contrast, dysconnectivity of lower-order
                      (somatomotor, visual, auditory) networks in some cases
                      differed between disorders, notably dissociating SZ from BD
                      and MDD.CONCLUSIONS Our label-based meta-analytic approach
                      allowed a comprehensive inclusion of prior studies. Findings
                      suggest that functional brain dysconnectivity of
                      higher-order cognitive networks is largely transdiagnostic
                      in nature while that of lower-order networks may best
                      discriminate mood and psychotic disorders, thus emphasizing
                      the relevance of motor and sensory networks to psychiatric
                      neuroscience.},
      cin          = {INM-7},
      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)25},
      doi          = {10.1101/2022.09.27.22280420},
      url          = {https://juser.fz-juelich.de/record/911694},
}