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@PHDTHESIS{Kraljevic:1043183,
      author       = {Kraljevic, Nevena},
      title        = {{B}rain–behaviour relationships and individual
                      variability in cognitive and emotional processing},
      school       = {HHU Düsseldorf},
      type         = {Dissertation},
      reportid     = {FZJ-2025-02791},
      pages        = {142},
      year         = {2025},
      note         = {Dissertation, HHU Düsseldorf, 2025},
      abstract     = {Human experience and behaviour is subject to multiple
                      different mental processes,which can be separated into
                      cognitive and socio-affective processes. Many studies
                      investigate how experience and behaviour is linked to brain
                      structure and function,and also how much in]luence can be
                      attributed to our genetic makeup. However, littleis known
                      about how behavioural domains are subject to different
                      in]luencing factorsof inter-individual differences of the
                      brain. In particular, how overlapping geneticinfluences
                      exhibit in brain structure and which in]luence different
                      functional task states drive in predictability of individual
                      behaviour. Therefore, in my dissertation I investigated the
                      phenotypic and genetic correlations of cognitive and
                      affective traits and brain structure (cortical thickness,
                      surface area and subcortical volumes; study1). I further
                      examined to what extent the correspondence of functional
                      network priorsand task states with behavioural target
                      domains in]luenced the predictability of individual
                      performance in cognitive, social, and affective tasks (study
                      2).Using phenotypic correlation and heritability-analysis
                      the ]irst study investigated heritability and genes as
                      in]luencing factors on inter-individual differences of
                      thebrain. Cognition revealed several associations with brain
                      morphology, while trait affect revealed only few signi]icant
                      correlations with subcortical volumes and localcortical
                      thickness, where it overlaps in left superior frontal cortex
                      with cognition.Decomposing the phenotypic association into
                      genetic and environmental components, revealed that the
                      associations were accounted for by shared geneticeffects
                      between the traits. Using functional correlation and
                      predictability of task statesand network priors the second
                      study investigated state- and network-specificity
                      asinfluencing factors on brain–behaviour relationships, by
                      predicting individual performance in cognitive, social, and
                      affective tasks. Predictions from whole-brain FC were
                      slightly better than those from FC in task-specific
                      networks, and a slight bene]it of predictions based on FC
                      from task versus resting state was observed for performance
                      in the cognitive domain.With my dissertation I provide an
                      integrative model of how cognition and affect relate to the
                      human brain. By combining insights from structural anatomy,
                      heritability modelling, and functional connectivity-based
                      prediction, my results reveal that these traditionally
                      distinct domains share common neural substrates. The
                      superior frontal cortex has been identified as a heritable
                      anatomical hub for both cognitive andaffective traits.
                      However, multivariate FC patterns during both task and
                      resting states carried only moderate predictability of
                      individual performance levels of cognition
                      andsocio-affective processes, manifesting nevertheless the
                      in]luence of brain state and network dynamics in shaping
                      individual behaviour. In sum, with these studies Ireplicated
                      previous ]indings, but also extended insights into the
                      interplay of cognitive and socio-affective processes with
                      brain–behaviour relationships, and how different factors
                      influence inter-individual differences in the brain.},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.34734/FZJ-2025-02791},
      url          = {https://juser.fz-juelich.de/record/1043183},
}