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@PHDTHESIS{Hahn:1038603,
      author       = {Hahn, Lisa},
      title        = {{N}euroimaging and behavioral biomarkers for
                      neuropsychiatric diseases},
      school       = {HHU Düsseldorf},
      type         = {Dissertation},
      reportid     = {FZJ-2025-01575},
      pages        = {82},
      year         = {2024},
      note         = {Dissertation, HHU Düsseldorf, 2024},
      abstract     = {To date, early recognition and diagnosis of many
                      neuropsychiatric diseases remainschallenging, resulting in
                      frequent under- or misdiagnosis. To reduce the suffering
                      ofpatients and to lower the economic burden,
                      neuropsychiatric research began to focus onbiomarker
                      development in the last two decades. While biomarkers can
                      serve differentpurposes and can be derived from a variety of
                      modalities, this thesis evaluates thecurrent state of
                      biomarker development for chronic and non-chronic
                      neuropsychiatricdiseases at the examples of behavioral
                      variant frontotemporal dementia (bvFTD),postpartum
                      depression (PPD), and adjustment disorder (AjD) in the
                      postpartum period.More specifically, the predictive value of
                      socio-demographic and clinical-anamnesticinformation in
                      addition to remote mood and stress assessments was evaluated
                      (study 1),and early structural and functional brain
                      alterations (study 2) were examined in PPD andAjD. Moreover,
                      spatial correlations of structural and functional
                      neuroimaging withneurotransmitter density were evaluated as
                      neurotransmitter vulnerability biomarker inbvFTD (study
                      3).While the first study demonstrated that PPD, AjD, and
                      healthy controls can be accuratelydifferentiated using
                      remote mood assessments and clinical-amnestic information
                      (i.e.,postnatal depression and attachment scores), the
                      second study revealed no robust earlystructural and
                      functional brain alterations in PPD and AjD. The third study
                      showed thatreduced functional connectivity in frontotemporal
                      and frontoparietal regions in patientswith bvFTD
                      co-localized with the distribution of receptors and
                      transporters of ´-aminobutyric acid-ergic,
                      norepinephrinergic, and serotonergic neurotransmitter
                      systems,and their encoding mRNA gene expression, indicating
                      a specific neurotransmittervulnerability in patients with
                      bvFTD.In summary, the first two studies demonstrated the
                      value of utilizing remote assessmentsin combination with
                      machine learning for early recognition of PPD and AjD.
                      Moreover,the third study demonstrated the potential of
                      spatial correlations of brain structure andfunction with
                      neurotransmitter density to assess neurotransmitter
                      vulnerability. In thefuture, these biomarker development
                      approaches may also prove useful for the earlyrecognition
                      and diagnosis of other neuropsychiatric diseases.},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.34734/FZJ-2025-01575},
      url          = {https://juser.fz-juelich.de/record/1038603},
}