TY - JOUR
AU - Ruppert, Marina C.
AU - Greuel, Andrea
AU - Freigang, Julia
AU - Tahmasian, Masoud
AU - Maier, Franziska
AU - Hammes, Jochen
AU - Eimeren, Thilo
AU - Timmermann, Lars
AU - Tittgemeyer, Marc
AU - Drzezga, Alexander
AU - Eggers, Carsten
TI - The default mode network and cognition in Parkinson's disease: A multimodal resting‐state network approach
JO - Human brain mapping
VL - 42
IS - 8
SN - 1065-9471
CY - New York, NY
PB - Wiley-Liss
M1 - FZJ-2021-05943
SP - 2623 - 2641
PY - 2021
AB - Involvement of the default mode network (DMN) in cognitive symptoms of Parkinson's disease (PD) has been reported by resting-state functional MRI (rsfMRI) studies. However, the relation to metabolic measures obtained by [18F]-fluorodeoxyglucose positron emission tomography (FDG-PET) is largely unknown. We applied multimodal resting-state network analysis to clarify the association between intrinsic metabolic and functional connectivity abnormalities within the DMN and their significance for cognitive symptoms in PD. PD patients were classified into normal cognition (n = 36) and mild cognitive impairment (MCI; n = 12). The DMN was identified by applying an independent component analysis to FDG-PET and rsfMRI data of a matched subset (16 controls and 16 PD patients) of the total cohort. Besides metabolic activity, metabolic and functional connectivity within the DMN were compared between the patients' groups and healthy controls (n = 16). Glucose metabolism was significantly reduced in all DMN nodes in both patient groups compared to controls, with the lowest uptake in PD-MCI (p < .05). Increased metabolic and functional connectivity along fronto-parietal connections was identified in PD-MCI patients compared to controls and unimpaired patients. Functional connectivity negatively correlated with cognitive composite z-scores in patients (r = -.43, p = .005). The current study clarifies the commonalities of metabolic and hemodynamic measures of brain network activity and their individual significance for cognitive symptoms in PD, highlighting the added value of multimodal resting-state network approaches for identifying prospective biomarkers.Keywords: Parkinson's disease; [18F]-FDG-PET; default mode network; metabolic covariance; mild cognitive impairment; resting-state fMRI.
LB - PUB:(DE-HGF)16
C6 - 33638213
UR - <Go to ISI:>//WOS:000622320900001
DO - DOI:10.1002/hbm.25393
UR - https://juser.fz-juelich.de/record/904373
ER -