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@ARTICLE{Bijsterbosch:904401,
      author       = {Bijsterbosch, Janine D. and Valk, Sofie L. and Wang,
                      Danhong and Glasser, Matthew F.},
      title        = {{R}ecent developments in representations of the connectome},
      journal      = {NeuroImage},
      volume       = {243},
      issn         = {1053-8119},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2021-05971},
      pages        = {118533 -},
      year         = {2021},
      abstract     = {Research into the human connectome (i.e., all connections
                      in the human brain) with the use of resting state functional
                      MRI has rapidly increased in popularity in recent years,
                      especially with the growing availability of large-scale
                      neuroimaging datasets. The goal of this review article is to
                      describe innovations in functional connectome
                      representations that have come about in the past 8 years,
                      since the 2013 NeuroImage special issue on ‘Mapping the
                      Connectome’. In the period, research has shifted from
                      group-level brain parcellations towards the characterization
                      of the individualized connectome and of relationships
                      between individual connectomic differences and
                      behavioral/clinical variation. Achieving subject-specific
                      accuracy in parcel boundaries while retaining cross-subject
                      correspondence is challenging, and a variety of different
                      approaches are being developed to meet this challenge,
                      including improved alignment, improved noise reduction, and
                      robust group-to-subject mapping approaches. Beyond the
                      interest in the individualized connectome, new
                      representations of the data are being studied to complement
                      the traditional parcellated connectome representation (i.e.,
                      pairwise connections between distinct brain regions), such
                      as methods that capture overlapping and smoothly varying
                      patterns of connectivity (‘gradients’). These different
                      connectome representations offer complimentary insights into
                      the inherent functional organization of the brain, but
                      challenges for functional connectome research remain.
                      Interpretability will be improved by future research towards
                      gaining insights into the neural mechanisms underlying
                      connectome observations obtained from functional MRI.
                      Validation studies comparing different connectome
                      representations are also needed to build consensus and
                      confidence to proceed with clinical trials that may produce
                      meaningful clinical translation of connectome insights.},
      cin          = {INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34469814},
      UT           = {WOS:000697098400004},
      doi          = {10.1016/j.neuroimage.2021.118533},
      url          = {https://juser.fz-juelich.de/record/904401},
}