Increased functional connectivity in a population at risk of developing Parkinson's disease.


Journal

Parkinsonism & related disorders
ISSN: 1873-5126
Titre abrégé: Parkinsonism Relat Disord
Pays: England
ID NLM: 9513583

Informations de publication

Date de publication:
11 2021
Historique:
received: 02 03 2021
revised: 28 09 2021
accepted: 29 09 2021
pubmed: 15 10 2021
medline: 2 2 2022
entrez: 14 10 2021
Statut: ppublish

Résumé

While the concept of prodromal Parkinson's disease (PD) is well established, reliable markers for the diagnosis of this disease stage are still lacking. We investigated the functional connectivity of the putamina in a resting-state functional MRI analysis in persons with at least two prodromal factors for PD, which is considered a high risk for PD (HRPD) group, in comparison to PD patients and controls. We included 16 PD patients, 20 healthy controls and 20 HRPD subjects. Resting state echo planar images and anatomical T1-weighted images were acquired with a Siemens Prisma 3 T scanner. The computation of correlation maps of the left and the right putamen to the rest of the brain was done in a voxel-wise approach using the REST toolbox. Finally, group differences in the correlation maps were compared on voxel-level and summarized in cluster z-statistics. Compared to both PD patients and healthy controls, the HRPD group showed higher functional connectivity of both putamina to brain regions involved in execution of motion and coordination (cerebellum, vermis, pre- and postcentral gyrus, supplementary motor area) as well as the planning of movement (precuneus, cuneus, superior medial frontal lobe). Higher functional connectivity of the putamina of HRPD subjects to other brain regions involved in motor execution and planning may indicate a compensatory mechanism. Follow-up evaluation and independent longitudinal studies should test whether our results reflect a dynamic process associated with a prodromal PD state.

Sections du résumé

BACKGROUND
While the concept of prodromal Parkinson's disease (PD) is well established, reliable markers for the diagnosis of this disease stage are still lacking. We investigated the functional connectivity of the putamina in a resting-state functional MRI analysis in persons with at least two prodromal factors for PD, which is considered a high risk for PD (HRPD) group, in comparison to PD patients and controls.
METHODS
We included 16 PD patients, 20 healthy controls and 20 HRPD subjects. Resting state echo planar images and anatomical T1-weighted images were acquired with a Siemens Prisma 3 T scanner. The computation of correlation maps of the left and the right putamen to the rest of the brain was done in a voxel-wise approach using the REST toolbox. Finally, group differences in the correlation maps were compared on voxel-level and summarized in cluster z-statistics.
RESULTS
Compared to both PD patients and healthy controls, the HRPD group showed higher functional connectivity of both putamina to brain regions involved in execution of motion and coordination (cerebellum, vermis, pre- and postcentral gyrus, supplementary motor area) as well as the planning of movement (precuneus, cuneus, superior medial frontal lobe).
CONCLUSIONS
Higher functional connectivity of the putamina of HRPD subjects to other brain regions involved in motor execution and planning may indicate a compensatory mechanism. Follow-up evaluation and independent longitudinal studies should test whether our results reflect a dynamic process associated with a prodromal PD state.

Identifiants

pubmed: 34649107
pii: S1353-8020(21)00355-2
doi: 10.1016/j.parkreldis.2021.09.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-6

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Tobias Binder (T)

Center for Neurology and Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, Tübingen, Germany; Department of Neurology, Julius-Maximilians-University, Würzburg, Germany. Electronic address: Binder_t@ukw.de.

Markus A Hobert (MA)

Center for Neurology and Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, Tübingen, Germany; Department of Neurology, Christian-Albrechts-University, Kiel, Germany.

Teresa Pfrommer (T)

Center for Neurology and Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, Tübingen, Germany.

Edyta Leks (E)

High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Department of Biomedical Magnetic Resonance, University Hospital Tübingen, Germany.

Oliver Granert (O)

Department of Neurology, Christian-Albrechts-University, Kiel, Germany.

Benedikt Weigl (B)

Center for Neurology and Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, Tübingen, Germany.

Thomas Ethofer (T)

Department of Biomedical Magnetic Resonance, University Hospital Tübingen, Germany; Department of General Psychiatry, University of Tübingen, Germany.

Michael Erb (M)

Department of Biomedical Magnetic Resonance, University Hospital Tübingen, Germany.

Marco Wilke (M)

Department of Pediatric Neurology and Developmental Medicine, Children's Hospital, University of Tübingen, Germany; Experimental Pediatric Neuroimaging Group, Pediatric Neurology & Department of Neuroradiology, University Hospital Tübingen, Germany.

Walter Maetzler (W)

Center for Neurology and Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, Tübingen, Germany; Department of Neurology, Christian-Albrechts-University, Kiel, Germany.

Daniela Berg (D)

Center for Neurology and Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, Tübingen, Germany; Department of Neurology, Christian-Albrechts-University, Kiel, Germany.

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