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@ARTICLE{Wong:856035,
      author       = {Wong, Ting Yat and Sid, Azah and Wensing, Tobias and
                      Eickhoff, Simon and Habel, Ute and Gur, Ruben C. and
                      Nickl-Jockschat, Thomas},
      title        = {{N}eural networks of aggression: {ALE} meta-analyses on
                      trait and elicited aggression},
      journal      = {Brain structure $\&$ function},
      volume       = {224},
      number       = {1},
      issn         = {1863-2661},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {FZJ-2018-05715},
      pages        = {133-148},
      year         = {2019},
      abstract     = {There is considerable evidence that emotion dysregulation
                      and self-control impairments lead to escalated aggression in
                      populations with psychiatric disorders. However, convergent
                      quantitative evidence on the neural network explaining how
                      aggression arises is still lacking. To address this gap,
                      peak activations extracted from extant functional magnetic
                      resonance imaging (fMRI) studies were synthesized through
                      coordinate-based meta-analyses. A systematic search in the
                      PubMed database was conducted and 26 fMRI studies met the
                      inclusion criteria. Three separate activation likelihood
                      estimation (ALE) meta-analyses were performed on (1)
                      individual differences in trait aggression (TA) studies, (2)
                      individual differences in TA studies examining executive
                      functioning, and (3) elicited aggression (EA) studies across
                      fMRI behavioral paradigms. Ensuing clusters from ALE
                      meta-analyses were further treated as seeds for follow-up
                      investigations on consensus connectivity networks (CCN)
                      delineated from meta-analytic connectivity modeling (MACM)
                      and resting-state functional connectivity (RSFC) to further
                      characterize their physiological functions. Finally, we
                      obtained a data-driven functional characterization of the
                      ensuing clusters and their networks. This approach offers a
                      boarder view of the ensuing clusters using a boarder network
                      perspective. In TA, aberrant brain activations were found
                      only in the right precuneus. Follow-up analyses revealed
                      that the precuneus seed was within the frontal-parietal
                      network (FPN) associated with action inhibition,
                      visuospatial processing and higher-level cognition. With
                      further restricting to only experiments examining executive
                      functioning, convergent evidence was found in the right
                      rolandic operculum (RO), midcingulate cortex (MCC),
                      precentral gyrus (PrG) and precuneus. Follow-up analyses
                      suggested that RO, MCC and PrG may belong to a common
                      cognitive control network, while the MCC seems to be the hub
                      of this network. In EA, we only revealed a convergent region
                      in the left postcentral gyrus. Follow-up CCN analyses and
                      functional characterizations suggested that this region may
                      also belong to the same cognitive control network found in
                      the TA sub-analysis. Our results suggested that escalated
                      aggression arises from abnormal precuneus activities within
                      the FPN, disrupting the recruitment of other large-scale
                      networks such as adaptive cognitive control network.
                      Consequently, failure to recruit such a network results in
                      an inability to generate adaptive responses, increasing the
                      likelihood of acting aggressively.},
      cin          = {INM-7 / INM-10},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-10-20170113},
      pnm          = {571 - Connectivity and Activity (POF3-571) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP SGA1 - Human Brain Project
                      Specific Grant Agreement 1 (720270)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(EU-Grant)720270},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30291479},
      UT           = {WOS:000458286500009},
      doi          = {10.1007/s00429-018-1765-3},
      url          = {https://juser.fz-juelich.de/record/856035},
}