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@ARTICLE{Henn:1022105,
      author       = {Henn, Alina T. and Larsen, Bart and Frahm, Lennart and Xu,
                      Anna and Adebimpe, Azeez and Scott, J. Cobb and Linguiti,
                      Sophia and Sharma, Vaishnavi and Basbaum, Allan I. and
                      Corder, Gregory and Dworkin, Robert H. and Edwards, Robert
                      R. and Woolf, Clifford J. and Habel, Ute and Eickhoff, Simon
                      B. and Eickhoff, Claudia and Wagels, Lisa and Satterthwaite,
                      Theodore D.},
      title        = {{S}tructural imaging studies of patients with chronic pain:
                      an anatomical likelihood estimate meta-analysis},
      journal      = {Pain},
      volume       = {164},
      number       = {1},
      issn         = {0304-3959},
      address      = {New York, NY [u.a.]},
      publisher    = {Lippincott Williams and Wilkins},
      reportid     = {FZJ-2024-01226},
      pages        = {e10 - e24},
      year         = {2023},
      abstract     = {Neuroimaging is a powerful tool to investigate potential
                      associations between chronic pain and brain structure.
                      However, the proliferation of studies across diverse chronic
                      pain syndromes and heterogeneous results challenges data
                      integration and interpretation. We conducted a preregistered
                      anatomical likelihood estimate meta-analysis on structural
                      magnetic imaging studies comparing patients with chronic
                      pain and healthy controls. Specifically, we investigated a
                      broad range of measures of brain structure as well as
                      specific alterations in gray matter and cortical thickness.
                      A total of 7849 abstracts of experiments published between
                      January 1, 1990, and April 26, 2021, were identified from 8
                      databases and evaluated by 2 independent reviewers. Overall,
                      103 experiments with a total of 5075 participants met the
                      preregistered inclusion criteria. After correction for
                      multiple comparisons using the gold-standard family-wise
                      error correction (P < 0.05), no significant differences
                      associated with chronic pain were found. However,
                      exploratory analyses using threshold-free cluster
                      enhancement revealed several spatially distributed clusters
                      showing structural alterations in chronic pain. Most of the
                      clusters coincided with regions implicated in nociceptive
                      processing including the amygdala, thalamus, hippocampus,
                      insula, anterior cingulate cortex, and inferior frontal
                      gyrus. Taken together, these results suggest that chronic
                      pain is associated with subtle, spatially distributed
                      alterations of brain structure.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5254},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1097/j.pain.0000000000002681},
      url          = {https://juser.fz-juelich.de/record/1022105},
}