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@ARTICLE{MalekiBalajoo:1034879,
      author       = {Maleki Balajoo, Somayeh and Plachti, Anna and Nicolaisen,
                      Eliana and Dong, Debo and Hoffstaedter, Felix and Meuth,
                      Sven G. and Melzer, Nico and Eickhoff, Simon B. and Genon,
                      Sarah},
      title        = {{D}iscovery, {R}eplicability, and {G}eneralizability of a
                      {L}eft {A}nterior {H}ippocampus' {M}orphological {N}etwork
                      {L}inked to {S}elf‐{R}egulation},
      journal      = {Human brain mapping},
      volume       = {45},
      number       = {18},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2025-00002},
      pages        = {e70099},
      year         = {2024},
      abstract     = {The human hippocampus is a key region in cognitive and
                      emotional processing, but also a vulnerable and plastic
                      region. Accordingly, there is a great interest in
                      understanding how variability in the hippocampus' structure
                      relates to variability in behavior in healthy and clinical
                      populations. In this study, we aimed to link interindividual
                      variability in subregional hippocampal networks (i.e., the
                      brain grey matter networks of hippocampal subregions) to
                      variability in behavioral phenotype. To do so, we used a
                      multiblock multivariate approach mapping the association
                      between grey matter volume in hippocampal subregions, grey
                      matter volume in the whole brain regions, and behavioral
                      variables in healthy adults. To ensure the robustness and
                      generalizability of the findings, we implemented a
                      cross-cohort discovery and validation framework. This
                      framework utilized two independent cohorts: the Human
                      Connectome Project Young Adult (HCP-YA) cohort and the Human
                      Connectome Project Aging (HCP-A) cohort, enabling us to
                      assess the replicability and generalizability of
                      hippocampal-brain-behavior phenotypes across different age
                      groups in the population. Our results highlighted a left
                      anterior hippocampal morphological network including the
                      left amygdala and the posterior midline structures whose
                      expression relates to higher self-regulation, life
                      satisfaction, and better performance at standard
                      neuropsychological tests. The cross-cohort generalizability
                      of the hippocampus-brain-behavior mapping demonstrates its
                      relevance beyond a specific population sample. Our previous
                      work in developmental populations showed that the
                      hippocampus' head co-maturates with most of the brain during
                      childhood. The current data-driven study further suggests
                      that grey matter volume in the left hippocampal head network
                      would be particularly relevant for self-regulation abilities
                      in adults that influence a range of life outcomes. Future
                      studies should thus investigate the factors influencing the
                      development of this morphological network across childhood,
                      as well as its relationship to neurocognitive phenotypes in
                      various brain diseases.},
      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       = {39705057},
      UT           = {WOS:001381365700001},
      doi          = {10.1002/hbm.70099},
      url          = {https://juser.fz-juelich.de/record/1034879},
}