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@ARTICLE{Kuo:864116,
      author       = {Kuo, Po-Chih and Tseng, Yi-Li and Zilles, Karl and Suen,
                      Summit and Eickhoff, Simon B and Lee, Juin-Der and Cheng,
                      Philip E and Liou, Michelle},
      title        = {{B}rain dynamics and connectivity networks under natural
                      auditory stimulation.},
      journal      = {NeuroImage},
      volume       = {202},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2019-04014},
      pages        = {116042},
      year         = {2019},
      abstract     = {The analysis of functional magnetic resonance imaging
                      (fMRI) data is challenging when subjects are under exposure
                      to natural sensory stimulation. In this study, a two-stage
                      approach was developed to enable the identification of
                      connectivity networks involved in the processing of
                      information in the brain under natural sensory stimulation.
                      In the first stage, the degree of concordance between the
                      results of inter-subject and intra-subject correlation
                      analyses is assessed statistically. The microstructurally
                      (i.e., cytoarchitectonically) defined brain areas are
                      designated either as concordant in which the results of both
                      correlation analyses are in agreement, or as discordant in
                      which one analysis method shows a higher proportion of
                      supra-threshold voxels than does the other. In the second
                      stage, connectivity networks are identified using the time
                      courses of supra-threshold voxels in brain areas, contingent
                      upon the classifications derived in the first stage. In an
                      empirical study, fMRI data were collected from 40 young
                      adults (19 males, average age 22.76 ± 3.25), who
                      underwent auditory stimulation involving sound clips of
                      human voices and animal vocalizations under two operational
                      conditions (i.e., eyes-closed and eyes-open). The
                      operational conditions were designed to assess confounding
                      effects due to auditory instructions or visual perception.
                      The proposed two-stage analysis demonstrated that stress
                      modulation (affective) and language networks in the limbic
                      and cortical structures were respectively engaged during
                      sound stimulation, and presented considerable variability
                      among subjects. The network involved in regulating
                      visuomotor control was sensitive to the eyes-open
                      instruction, and presented only small variations among
                      subjects. A high degree of concordance was observed between
                      the two analyses in the primary auditory cortex which was
                      highly sensitive to the pitch of sound clips. Our results
                      have indicated that brain areas can be identified as
                      concordant or discordant based on the two correlation
                      analyses. This may further facilitate the search for
                      connectivity networks involved in the processing of
                      information under natural sensory stimulation.},
      cin          = {INM-1 / INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31344485},
      UT           = {WOS:000491861000017},
      doi          = {10.1016/j.neuroimage.2019.116042},
      url          = {https://juser.fz-juelich.de/record/864116},
}