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@ARTICLE{Kasper:1026969,
      author       = {Kasper, Jan and Caspers, Svenja and Lotter, Leon D. and
                      Hoffstaedter, Felix and Eickhoff, Simon B. and Dukart,
                      Juergen},
      title        = {{R}esting state changes in aging and {P}arkinson’s
                      disease are shaped by underlying neurotransmission – a
                      normative modeling study},
      journal      = {Biological psychiatry / Cognitive neuroscience and
                      neuroimaging},
      volume       = {9},
      number       = {10},
      issn         = {2451-9022},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Inc.},
      reportid     = {FZJ-2024-03548},
      pages        = {986-997},
      year         = {2024},
      note         = {This work was supported by the European Union’s Horizon
                      2020 research and innovation program (Grant No. 826421 [to
                      JD]); TheVirtualBrain-Cloud; the European Union’s Horizon
                      2020 research and innovation program (Grant No. 945539 [to
                      SC and SBE]) (Human Brain Project SGA3); and the Federal
                      Ministry of Education and Research and the Max Planck
                      Society, Germany (to LDL).},
      abstract     = {BackgroundHuman healthy and pathological aging is linked to
                      a steady decline in brain resting-state activity and
                      connectivity measures. The neurophysiological mechanisms
                      that underlie these changes remain poorly
                      understood.MethodsMaking use of recent developments in
                      normative modeling and availability of in vivo maps for
                      various neurochemical systems, we tested in the UK Biobank
                      cohort (n = 25,917) whether and how age- and Parkinson’s
                      disease–related resting-state changes in commonly applied
                      local and global activity and connectivity measures
                      colocalize with underlying neurotransmitter
                      systems.ResultsWe found that the distributions of several
                      major neurotransmitter systems including serotonergic,
                      dopaminergic, noradrenergic, and glutamatergic
                      neurotransmission correlated with age-related changes across
                      functional activity and connectivity measures.
                      Colocalization patterns in Parkinson’s disease deviated
                      from normative aging trajectories for these, as well as for
                      cholinergic and GABAergic (gamma-aminobutyric acidergic)
                      neurotransmission. The deviation from normal colocalization
                      of brain function and GABAA correlated with disease
                      duration.ConclusionsThese findings provide new insights into
                      molecular mechanisms underlying age- and
                      Parkinson’s-related brain functional changes by extending
                      the existing evidence elucidating the vulnerability of
                      specific neurochemical attributes to normal aging and
                      Parkinson’s disease. The results particularly indicate
                      that alongside dopamine and serotonin, increased
                      vulnerability of glutamatergic, cholinergic, and GABAergic
                      systems may also contribute to Parkinson’s
                      disease–related functional alterations. Combining
                      normative modeling and neurotransmitter mapping may aid
                      future research and drug development through deeper
                      understanding of neurophysiological mechanisms that underlie
                      specific clinical conditions.},
      cin          = {INM-1 / INM-7},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-7-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {38679325},
      UT           = {WOS:001333890900001},
      doi          = {10.1016/j.bpsc.2024.04.010},
      url          = {https://juser.fz-juelich.de/record/1026969},
}