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@INPROCEEDINGS{Dronse:908569,
      author       = {Dronse, Julian and Dillen, Kim N. H. and Jacobs, Heidi I.
                      L. and Reutern, Boris and Richter, Nils and Onur, Oezguer A.
                      and Stoffels, Gabriele and Kops, Elena Rota and Tellmann,
                      Lutz and Shah, N. Jon and Langen, Karl-Josef and Fink,
                      Gereon R. and Kukolja, Juraj},
      title        = {[{P}2–362]: {DIFFERENTIAL} {EFFECT} {OF} {GLUCOSE}
                      {METABOLISM} {AND} {INTRINSIC} {FUNCTIONAL} {CONNECTIVITY}
                      {ON} {MEMORY} {PERFORMANCE} {OVER} {THE} {SPECTRUM} {OF}
                      {ALZHEIMER}'{S} {DISEASE}},
      issn         = {1552-5279},
      reportid     = {FZJ-2022-02693},
      year         = {2017},
      abstract     = {BackgroundWhile alterations in glucose metabolism are a
                      well-established feature of Alzheimer's disease and linked
                      to cognitive decline, aberrant patterns of spontaneous
                      neural activity at rest are increasingly recognized as a
                      characteristic of the disorder and are also evident in
                      preclinical stages. The regional interrelationship of
                      glucose consumption and resting-state activity and the
                      differential contributions of these measures to memory
                      function are still not well understood. The aim of the
                      present study was to characterize this relationship and to
                      assess the individual effects of the two modalities on
                      memory function.MethodsPatients with subjective memory
                      complaints (n=11), mild cognitive impairment (MCI) due to
                      Alzheimer's disease (n=9), and early stage Alzheimer's
                      dementia (n=10) were included in the analysis. We
                      simultaneously acquired resting-state functional MRI
                      (rs-fMRI) and [18F]fluorodeoxyglucose (FDG) PET data using a
                      hybrid PET-MRI scanner. Independent component analysis was
                      used to decompose rs-fMRI data into 75 spatially independent
                      components of temporally synchronized neural activity. Using
                      a combination of automated methods, we selected two default
                      mode network components for the subsequent analysis. We
                      performed voxel-wise regression analysis of intrinsic
                      network connectivity and [18F]FDG uptake in the selected
                      networks, correcting for voxelwise effects of gray matter
                      volume. Mean values for both modalities were extracted from
                      brain regions showing a significant effect of glucose
                      consumption on intrinsic functional connectivity (p < 0.05
                      FWE-corrected) and entered into multiple regression models
                      to estimate their effect on verbal memory performance
                      (delayed recall of Logical Memory).ResultsWithin the whole
                      group, glucose uptake was significantly positively
                      correlated with intrinsic connectivity in the ventral
                      default mode network. Crucially, intrinsic connectivity but
                      not glucose uptake predicted memory performance in patients
                      with Alzheimer's disease (in the combined group of MCI and
                      early stage dementia patients, as well in the early stage
                      dementia group only).ConclusionsWhile glucose metabolism and
                      intrinsic functional connectivity of resting state networks
                      are closely interrelated, the disruption of functional
                      connectivity in the default mode network better predicts
                      memory performance. These results contribute to the
                      development of rs-fMRI changes as a diagnostic marker and
                      potential therapeutic target for Alzheimer's disease.},
      month         = {Jul},
      date          = {2017-07-15},
      organization  = {The Alzheimer’s Association
                       International Conference (AAIC), London
                       (UK), 15 Jul 2017 - 20 Jul 2017},
      cin          = {INM-4 / INM-11 / INM-3 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)1},
      doi          = {10.1016/j.jalz.2017.06.1017},
      url          = {https://juser.fz-juelich.de/record/908569},
}