Universität zu Köln

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:	Creators Email ORCID ORCID Put Code Ruppert, Marina C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Greuel, Andrea UNSPECIFIED orcid.org/0000-0002-0001-9225 UNSPECIFIED Freigang, Julia UNSPECIFIED UNSPECIFIED UNSPECIFIED Tahmasian, Masoud UNSPECIFIED orcid.org/0000-0003-3999-3807 UNSPECIFIED Maier, Franziska UNSPECIFIED orcid.org/0000-0002-9335-9594 UNSPECIFIED Hammes, Jochen UNSPECIFIED UNSPECIFIED UNSPECIFIED Eimeren, Thilo UNSPECIFIED UNSPECIFIED UNSPECIFIED Timmermann, Lars UNSPECIFIED UNSPECIFIED UNSPECIFIED Tittgemeyer, Marc UNSPECIFIED UNSPECIFIED UNSPECIFIED Drzezga, Alexander UNSPECIFIED orcid.org/0000-0001-6018-716X UNSPECIFIED Eggers, Carsten UNSPECIFIED UNSPECIFIED UNSPECIFIED
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:	Keywords Language Neurosciences; Neuroimaging; Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/59810