Ruppert, Marina C., Greuel, Andrea ORCID: 0000-0002-0001-9225, Freigang, Julia, Tahmasian, Masoud ORCID: 0000-0003-3999-3807, Maier, Franziska ORCID: 0000-0002-9335-9594, Hammes, Jochen, Eimeren, Thilo, Timmermann, Lars, Tittgemeyer, Marc, Drzezga, Alexander ORCID: 0000-0001-6018-716X and Eggers, Carsten (2021). The default mode network and cognition in Parkinson's disease: A multimodal resting-state network approach. Hum. Brain Mapp., 42 (8). S. 2623 - 2642. HOBOKEN: WILEY. ISSN 1097-0193

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Abstract

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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Ruppert, Marina C.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Greuel, AndreaUNSPECIFIEDorcid.org/0000-0002-0001-9225UNSPECIFIED
Freigang, JuliaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tahmasian, MasoudUNSPECIFIEDorcid.org/0000-0003-3999-3807UNSPECIFIED
Maier, FranziskaUNSPECIFIEDorcid.org/0000-0002-9335-9594UNSPECIFIED
Hammes, JochenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Eimeren, ThiloUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Timmermann, LarsUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tittgemeyer, MarcUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Drzezga, AlexanderUNSPECIFIEDorcid.org/0000-0001-6018-716XUNSPECIFIED
Eggers, CarstenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-598100
DOI: 10.1002/hbm.25393
Journal or Publication Title: Hum. Brain Mapp.
Volume: 42
Number: 8
Page Range: S. 2623 - 2642
Date: 2021
Publisher: WILEY
Place of Publication: HOBOKEN
ISSN: 1097-0193
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical ImagingMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/59810

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