% 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{Xu:872946,
      author       = {Xu, Anna and Larsen, Bart and Baller, Erica B. and Cobb
                      Scott, J. and Sharma, Vaishnavi and Adebimpe, Azeez and
                      Basbaum, Allan I. and Dworkin, Robert H. and Edwards, Robert
                      R. and Woolf, Clifford J. and Eickhoff, Simon B. and
                      Eickhoff, Claudia R. and Satterthwaite, Theodore D.},
      title        = {{C}onvergent neural representations of
                      experimentally-induced acute pain in healthy volunteers: {A}
                      large-scale f{MRI} meta-analysis},
      journal      = {Neuroscience $\&$ biobehavioral reviews},
      volume       = {112},
      issn         = {0149-7634},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2020-00406},
      pages        = {300-323},
      year         = {2020},
      abstract     = {Characterizing a reliable, pain-related neural signature is
                      critical for translational applications. Many prior fMRI
                      studies have examined acute nociceptive pain-related brain
                      activation in healthy participants. However, synthesizing
                      these data to identify convergent patterns of activation can
                      be challenging due to the heterogeneity of experimental
                      designs and samples. To address this challenge, we conducted
                      a comprehensive meta-analysis of fMRI studies of
                      stimulus-induced pain in healthy participants. Following
                      pre-registration, two independent reviewers evaluated 4,927
                      abstracts returned from a search of 8 databases, with 222
                      fMRI experiments meeting inclusion criteria. We analyzed
                      these experiments using Activation Likelihood Estimation
                      with rigorous type I error control (voxel height p < 0.001,
                      cluster p < 0.05 FWE-corrected) and found a convergent,
                      largely bilateral pattern of pain-related activation in the
                      secondary somatosensory cortex, insula, midcingulate cortex,
                      and thalamus. Notably, these regions were consistently
                      recruited regardless of stimulation technique, location of
                      induction, and participant sex. These findings suggest a
                      highly-conserved core set of pain-related brain areas,
                      encouraging applications as a biomarker for novel
                      therapeutics targeting acute nociceptive pain.},
      cin          = {INM-7 / INM-1},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574)},
      pid          = {G:(DE-HGF)POF3-574},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31954149},
      UT           = {WOS:000531016100019},
      doi          = {10.1016/j.neubiorev.2020.01.004},
      url          = {https://juser.fz-juelich.de/record/872946},
}