Title :

Resting-State Functional Connectivity in Frontostriatal and Posterior Cortical Subtypes in Parkinson's Disease-Mild Cognitive Impairment.

Author(s) :

Devignes, Quentin [Auteur]
Lille Neurosciences & Cognition - U 1172 [LilNCog]
Bordier, Cecile [Auteur]
Imagerie fonctionnelle et exploration du vivant = Lille in vivo imaging and Functional Exploration - PLBS [LiiFE]
Viard, Romain [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Defebvre, Luc [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Kuchcinski, Gregory [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Leentjens, A. F. G. [Auteur]
Lopes, Renaud [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Dujardin, Kathy [Auteur]
Lille Neurosciences & Cognition (LilNCog) - U 1172
Bordier, Cecile [Auteur]

Journal title :

MOVEMENT DISORDERS

Abbreviated title :

Mov Disord

Volume number :

37

Pages :

p. 502-512

Publication date :

2022-03

ISSN :

1531-8257

English keyword(s) :

cognition
independent component analysis
cognitive subtypes
dual syndrome hypothesis

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Background The “dual syndrome hypothesis” distinguished two subtypes in mild cognitive impairment (MCI) in Parkinson's disease: frontostriatal, characterized by attentional and executive deficits; and posterior cortical, ...
Show more >Background The “dual syndrome hypothesis” distinguished two subtypes in mild cognitive impairment (MCI) in Parkinson's disease: frontostriatal, characterized by attentional and executive deficits; and posterior cortical, characterized by visuospatial, memory, and language deficits. Objective The aim was to identify resting-state functional modifications associated with these subtypes. Methods Ninety-five nondemented patients categorized as having normal cognition (n = 31), frontostriatal (n = 14), posterior cortical (n = 20), or mixed (n = 30) cognitive subtype had a 3 T resting-state functional magnetic resonance imaging scan. Twenty-four age-matched healthy controls (HCs) were also included. A group-level independent component analysis was performed to identify resting-state networks, and the selected components were subdivided into 564 cortical regions in addition to 26 basal ganglia regions. Global intra- and inter-network connectivity along with global and local efficiencies was compared between groups. The network-based statistics approach was used to identify connections significantly different between groups.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Collections :

• Lille Neurosciences & Cognition (LilNCog) - U 1172
• Plateformes Lilloises en Biologie et Santé (PLBS) - UAR 2014 - US 41

Research team(s) :

Lille in vivo imaging and Functional Exploration (LiiFE)

Submission date :

2023-12-21T07:04:09Z
2024-02-23T11:06:42Z