1. Functional connectivity disruptions correlate with cognitive phenotypes in Parkinson's disease
- Author
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Hassan, M., Chaton, L., Benquet, P., Delval, A., Leroy, C., Plomhause, L., Moonen, A.J.H., Duits, A.A., Leentjens, A.F.G., van Kranen-Mastenbroek, V., Defebvre, L., Derambure, P., Wendling, F., Dujardin, K., RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychiatrie & Neuropsychologie, MUMC+: MA Med Staf Spec Psychiatrie (9), MUMC+: HZC Med Staf Spec Klinische Neurofys (9), Laboratoire Traitement du Signal et de l'Image (LTSI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Troubles cognitifs vasculaires et dégénératifs, Université de Lille, Sciences et Technologies, Michael J. Fox Foundation for Parkinson's Research, ANR-10-LABX-07-01, Agence Nationale de la Recherche, and Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
Male ,CORTICAL NETWORKS ,Parkinson's disease ,Statistics as Topic ,Neuropsychological Tests ,lcsh:Computer applications to medicine. Medical informatics ,lcsh:RC346-429 ,QUANTITATIVE EEG ,Network measures ,Neural Pathways ,Humans ,Brain connectivity ,RATING-SCALE ,SMALL-WORLD ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Analysis of Variance ,Brain Mapping ,MEG ,Spectrum Analysis ,Cognitive deficits ,[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences ,Brain ,Electroencephalography ,Parkinson Disease ,Regular Article ,FRONTOTEMPORAL DEMENTIA ,Middle Aged ,LEWY BODIES ,ALZHEIMERS-DISEASE ,BRAIN NETWORKS ,Cross-Sectional Studies ,GRAPH-THEORETICAL ANALYSIS ,Disease Progression ,lcsh:R858-859.7 ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Female ,Cognition Disorders ,Dense electroencephalography ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing - Abstract
Cognitive deficits in Parkinson's disease are thought to be related to altered functional brain connectivity. To date, cognitive-related changes in Parkinson's disease have never been explored with dense-EEG with the aim of establishing a relationship between the degree of cognitive impairment, on the one hand, and alterations in the functional connectivity of brain networks, on the other hand. This study was aimed at identifying altered brain networks associated with cognitive phenotypes in Parkinson's disease using dense-EEG data recorded during rest with eyes closed. Three groups of Parkinson's disease patients (N = 124) with different cognitive phenotypes coming from a data-driven cluster analysis, were studied: G1) cognitively intact patients (63), G2) patients with mild cognitive deficits (46) and G3) patients with severe cognitive deficits (15). Functional brain networks were identified using a dense-EEG source connectivity method. Pairwise functional connectivity was computed for 68 brain regions in different EEG frequency bands. Network statistics were assessed at both global (network topology) and local (inter-regional connections) level. Results revealed progressive disruptions in functional connectivity between the three patient groups, typically in the alpha band. Differences between G1 and G2 (p, Highlights • We test the use of dense-EEG to identify altered brain networks associated with cognitive phenotypes in Parkinson's disease. • The functional connectivity decreases with the worsening of cognitive performance • The loss of frontotemporal connectivity may be a promising neuromarker of cognitive impairment in Parkinson's disease.
- Published
- 2016