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@ARTICLE{McTeague:873152,
      author       = {McTeague, Lisa M. and Rosenberg, Benjamin M. and Lopez,
                      James W. and Carreon, David M. and Huemer, Julia and Jiang,
                      Ying and Chick, Christina F. and Eickhoff, Simon and Etkin,
                      Amit},
      title        = {{I}dentification of {C}ommon {N}eural {C}ircuit
                      {D}isruptions in {E}motional {P}rocessing {A}cross
                      {P}sychiatric {D}isorders},
      journal      = {The American journal of psychiatry},
      volume       = {177},
      number       = {5},
      issn         = {1535-7228},
      address      = {Stanford, Calif.},
      publisher    = {HighWire Press},
      reportid     = {FZJ-2020-00597},
      pages        = {411-421},
      year         = {2020},
      abstract     = {Disrupted emotional processing is a common feature of many
                      psychiatric disorders. The authors investigated functional
                      disruptions in neural circuitry underlying emotional
                      processing across a range of tasks and across psychiatric
                      disorders through a transdiagnostic quantitative
                      meta-analysis of published neuroimaging data.METHODS:A
                      PubMed search was conducted for whole-brain functional
                      neuroimaging findings published through May 2018 that
                      compared activation during emotional processing tasks in
                      patients with psychiatric disorders (including
                      schizophrenia, bipolar or unipolar depression, anxiety, and
                      substance use) to matched healthy control participants.
                      Activation likelihood estimation (ALE) meta-analyses were
                      conducted on peak voxel coordinates to identify spatial
                      convergence.RESULTS:The 298 experiments submitted to
                      meta-analysis included 5,427 patients and 5,491 control
                      participants. ALE across diagnoses and patterns of patient
                      hyper- and hyporeactivity demonstrated abnormal activation
                      in the amygdala, the hippocampal/parahippocampal gyri, the
                      dorsomedial/pulvinar nuclei of the thalamus, and the
                      fusiform gyri, as well as the medial and lateral dorsal and
                      ventral prefrontal regions. ALE across disorders but
                      considering directionality demonstrated patient
                      hyperactivation in the amygdala and the
                      hippocampal/parahippocampal gyri. Hypoactivation was found
                      in the medial and lateral prefrontal regions, most
                      pronounced during processing of unpleasant stimuli. More
                      refined disorder-specific analyses suggested that these
                      overall patterns were shared to varying degrees, with
                      notable differences in patterns of hyper- and
                      hypoactivation.CONCLUSIONS:These findings demonstrate a
                      pattern of neurocircuit disruption across major psychiatric
                      disorders in regions and networks key to adaptive emotional
                      reactivity and regulation. More specifically, disruption
                      corresponded prominently to the "salience" network, the
                      ventral striatal/ventromedial prefrontal "reward" network,
                      and the lateral orbitofrontal "nonreward" network.
                      Consistent with the Research Domain Criteria initiative,
                      these findings suggest that psychiatric illness may be
                      productively formulated as dysfunction in transdiagnostic
                      neurobehavioral phenotypes such as neurocircuit
                      activation.KEYWORDS:Meta-Analysis; Neuroanatomy;
                      Neuroimaging; RDoC; Transdiagnostic; fMRI},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP SGA3 - Human Brain Project
                      Specific Grant Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {31964160},
      UT           = {WOS:000537832600009},
      doi          = {10.1176/appi.ajp.2019.18111271},
      url          = {https://juser.fz-juelich.de/record/873152},
}