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@ARTICLE{Mantwill:910704,
      author       = {Mantwill, Maron and Gell, Martin and Krohn, Stephan and
                      Finke, Carsten},
      title        = {{B}rain connectivity fingerprinting and behavioural
                      prediction rest on distinct functional systems of the human
                      connectome},
      journal      = {Communications biology},
      volume       = {5},
      number       = {1},
      issn         = {2399-3642},
      address      = {London},
      publisher    = {Springer Nature},
      reportid     = {FZJ-2022-04075},
      pages        = {261},
      year         = {2022},
      abstract     = {The prediction of inter-individual behavioural differences
                      from neuroimaging data is a rapidly evolving field of
                      research focusing on individualised methods to describe
                      human brain organisation on the single-subject level. One
                      method that harnesses such individual signatures is
                      functional connectome fingerprinting, which can reliably
                      identify individuals from large study populations. However,
                      the precise relationship between functional signatures
                      underlying fingerprinting and behavioural prediction remains
                      unclear. Expanding on previous reports, here we
                      systematically investigate the link between discrimination
                      and prediction on different levels of brain network
                      organisation (individual connections, network interactions,
                      topographical organisation, and connection variability). Our
                      analysis revealed a substantial divergence between
                      discriminatory and predictive connectivity signatures on all
                      levels of network organisation. Across different brain
                      parcellations, thresholds, and prediction algorithms, we
                      find discriminatory connections in higher-order multimodal
                      association cortices, while neural correlates of behaviour
                      display more variable distributions. Furthermore, we find
                      the standard deviation of connections between participants
                      to be significantly higher in fingerprinting than in
                      prediction, making inter-individual connection variability a
                      possible separating marker. These results demonstrate that
                      participant identification and behavioural prediction
                      involve highly distinct functional systems of the human
                      connectome. The present study thus calls into question the
                      direct functional relevance of connectome fingerprints.},
      cin          = {INM-7},
      ddc          = {570},
      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       = {35332230},
      UT           = {WOS:000780299500001},
      doi          = {10.1038/s42003-022-03185-3},
      url          = {https://juser.fz-juelich.de/record/910704},
}