% 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{Tahmasian:851082,
      author       = {Tahmasian, Masoud and Noori, Khadijeh and Samea, Fateme and
                      Zarei, Mojtaba and Spiegelhalder, Kai and Eickhoff, Simon
                      and van Someren, Eus and Khazaie, Habibolah and Eickhoff,
                      Claudia},
      title        = {{A} lack of consistent brain alterations in insomnia
                      disorder: {A}n activation likelihood estimation
                      meta-analysis},
      journal      = {Sleep medicine reviews},
      volume       = {42},
      issn         = {1087-0792},
      address      = {Kidlington, Oxford [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2018-04790},
      pages        = {111-118},
      year         = {2018},
      note         = {This study was supported by Kermanshah University of
                      Medical Sciences (No. 94526). Simon B. Eickhoff is supported
                      by the Deutsche Forschungsgemeinschaft (EI 816/11-1), the
                      National Institute of Mental Health (R01-MH074457), the
                      Helmholtz Portfolio Theme “Supercomputing and Modeling for
                      the Human Brain” and the European Union's Horizon 2020
                      Research and Innovation Programme under Grant Agreement No.
                      7202070 (HBP SGA1) and under Grant Agreement No. 785907 (HBP
                      SGA2).},
      abstract     = {Insomnia disorder is a prevalent sleep disorder, which
                      affects about $10\%$ of general population. However, its
                      neural mechanisms are poorly understood. Recently, several
                      structural and functional neuroimaging studies have been
                      conducted in patients with insomnia disorder, but these
                      studies have yielded diverse findings. Here, we aimed to
                      identify consistent patterns of abnormal brain alterations
                      in insomnia disorder by performing a quantitative
                      coordinate-based meta-analysis. Following the preferred
                      reporting for systematic reviews and meta-analyses
                      statement, we searched PubMed database and used reference
                      tracking and finally retrieved 19 eligible studies (six
                      task-based functional magnetic resonance imaging, eight
                      resting-state functional magnetic resonance imaging, three
                      voxel-based morphometry, and two positron emission
                      tomography). We extracted peak coordinates from these
                      studies and tested for convergence using the activation
                      likelihood estimation method. Using this method, we found no
                      significant convergent evidence for combination of
                      structural atrophy and functional disturbances across
                      previous studies (p = 0.914). Inconsistencies across these
                      studies might be related to heterogonous clinical
                      populations, the explorative nature of these studies in
                      combination with small sample sizes, different experimental
                      designs, and various preprocessing and statistical
                      approaches. Future neuroimaging studies on insomnia disorder
                      should include larger well-characterized samples, as well as
                      standard imaging and analysis protocols.},
      cin          = {INM-7 / INM-1},
      ddc          = {780},
      cid          = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
      pnm          = {572 - (Dys-)function and Plasticity (POF3-572) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP SGA1 - Human Brain Project
                      Specific Grant Agreement 1 (720270) / HBP SGA2 - Human Brain
                      Project Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-572 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(EU-Grant)720270 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30093361},
      UT           = {WOS:000449095300011},
      doi          = {10.1016/j.smrv.2018.07.004},
      url          = {https://juser.fz-juelich.de/record/851082},
}