The default mode network and cognition in Parkinson's disease: A multimodal resting-state network approach

• Main Authors: Drzezga, A. (Author), Eggers, C. (Author), Freigang, J. (Author), Greuel, A. (Author), Hammes, J. (Author), Maier, F. (Author), Ruppert, M.C (Author), Tahmasian, M. (Author), Timmermann, L. (Author), Tittgemeyer, M. (Author), van Eimeren, T. (Author)
• Format: Article
• Language: English
• Published: John Wiley and Sons Inc 2021
• Subjects: [18F]-FDG-PET; aged; Aged; Article; brain cortex; Cerebral Cortex; cognition; cognitive defect; Cognitive Dysfunction; comparative study; complication; connectome; Connectome; controlled study; data analysis software; default mode network; Default Mode Network; diagnostic imaging; dopamine receptor stimulating agent; female; Female; fluorodeoxyglucose; frontoparietal network; functional connectivity; functional magnetic resonance imaging; glucose; glucose metabolism; hemodynamics; human; Humans; levodopa; Magnetic Resonance Imaging; major clinical study; male; Male; metabolic covariance; metabolic parameters; metabolism; middle aged; Middle Aged; mild cognitive impairment; multimodal imaging; Multimodal Imaging; nuclear magnetic resonance imaging; Parkinson disease; Parkinson Disease; Parkinson's disease; pathophysiology; positron emission tomography; Positron-Emission Tomography; priority journal; resting state network; resting-state fMRI
• Online Access: View Fulltext in Publisher
• ISBN: 10659471 (ISSN)
• DOI: 10.1002/hbm.25393

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. © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.