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


Journal

Movement disorders : official journal of the Movement Disorder Society
ISSN: 1531-8257
Titre abrégé: Mov Disord
Pays: United States
ID NLM: 8610688

Informations de publication

Date de publication:
03 2022
Historique:
revised: 10 11 2021
received: 02 09 2021
accepted: 29 11 2021
pubmed: 18 12 2021
medline: 3 5 2022
entrez: 17 12 2021
Statut: ppublish

Résumé

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. The aim was to identify resting-state functional modifications associated with these subtypes. 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. Patients with posterior cortical deficits had increased intra-network functional connectivity (FC) within the basal ganglia network compared with patients with frontostriatal deficits. Patients with frontostriatal deficits had reduced inter-network FC between several networks, including the visual, default-mode, sensorimotor, salience, dorsal attentional, basal ganglia, and frontoparietal networks, compared with HCs, patients with normal cognition, and patients with a posterior cortical subtype. Similar results were also found between patients with a mixed subtype and HCs. MCI subtypes are associated with specific changes in resting-state FC. Longitudinal studies are needed to determine the predictive potential of these markers regarding the risk of developing dementia. © 2021 International Parkinson and Movement Disorder Society.

Sections du résumé

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.
RESULTS
Patients with posterior cortical deficits had increased intra-network functional connectivity (FC) within the basal ganglia network compared with patients with frontostriatal deficits. Patients with frontostriatal deficits had reduced inter-network FC between several networks, including the visual, default-mode, sensorimotor, salience, dorsal attentional, basal ganglia, and frontoparietal networks, compared with HCs, patients with normal cognition, and patients with a posterior cortical subtype. Similar results were also found between patients with a mixed subtype and HCs.
CONCLUSION
MCI subtypes are associated with specific changes in resting-state FC. Longitudinal studies are needed to determine the predictive potential of these markers regarding the risk of developing dementia. © 2021 International Parkinson and Movement Disorder Society.

Identifiants

pubmed: 34918782
doi: 10.1002/mds.28888
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

502-512

Informations de copyright

© 2021 International Parkinson and Movement Disorder Society.

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Auteurs

Quentin Devignes (Q)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.

Cécile Bordier (C)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.
Univ. Lille, CNRS, Inserm, US 41-UMS 2014-PLBS, CHU Lille, Lille Pasteur Institute, Lille, France.
Department of Neuroradiology, CHU Lille, Lille, France.

Romain Viard (R)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.
Univ. Lille, CNRS, Inserm, US 41-UMS 2014-PLBS, CHU Lille, Lille Pasteur Institute, Lille, France.
Department of Neuroradiology, CHU Lille, Lille, France.

Luc Defebvre (L)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.
Neurology and Movement Disorders Department, CHU Lille, Lille, France.

Grégory Kuchcinski (G)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.
Univ. Lille, CNRS, Inserm, US 41-UMS 2014-PLBS, CHU Lille, Lille Pasteur Institute, Lille, France.
Department of Neuroradiology, CHU Lille, Lille, France.

Albert F G Leentjens (AFG)

Department of Psychiatry, Maastricht University Medical Centre, Maastricht, the Netherlands.

Renaud Lopes (R)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.
Univ. Lille, CNRS, Inserm, US 41-UMS 2014-PLBS, CHU Lille, Lille Pasteur Institute, Lille, France.
Department of Neuroradiology, CHU Lille, Lille, France.

Kathy Dujardin (K)

Univ. Lille, Inserm 1172, Lille Neurosciences and Cognition, CHU Lille, Lille, France.
Neurology and Movement Disorders Department, CHU Lille, Lille, France.

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