Brain Connectivity Alterations Are Associated with the Development of Dementia in Parkinson's Disease
Abstract
Dementia affects a high proportion of Parkinson's disease (PD) patients and poses a burden on caregivers and healthcare services. Electroencephalography (EEG) is a common nonevasive and nonexpensive technique that can easily be used in clinical settings to identify brain functional abnormalities. Only few studies had identified EEG abnormalities that can predict PD patients at higher risk for dementia. Brain connectivity EEG measures, such as multiscale entropy (MSE) and phase-locking value (PLV) analyses, may be more informative and sensitive to brain alterations leading to dementia than previously used methods. This study followed 62 dementia-free PD patients for a mean of 3.4 years to identify cerebral alterations that are associated with dementia. Baseline resting state EEG of patients who developed dementia (N = 18) was compared to those of patients who remained dementia-free (N = 44) and of 37 healthy subjects. MSE and PLV analyses were performed. Partial least squares statistical analysis revealed group differences associated with the development of dementia. Patients who developed dementia showed higher signal complexity and lower PLVs in low frequencies (mainly in delta frequency) than patients who remained dementia-free and controls. Conversely, both patient groups showed lower signal variability and higher PLVs in high frequencies (mainly in gamma frequency) compared to controls, with the strongest effect in patients who developed dementia. These findings suggest that specific disruptions of brain communication can be measured before PD patients develop dementia, providing a new potential marker to identify patients at highest risk of developing dementia and who are the best candidates for neuroprotective trials.
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Patients with PDD show reduced EEG-FC in delta band frequency compared to those with PD without dementia.
“Moreover, several studies have revealed that patients with PDD show reduced EEG-FC in delta band frequency compared to those with PD without dementia [61].”
From QEEG Signatures are Associated with Nonmotor Dysfunctions in Parkinson's Disease and Atypical Parkinsonism: An Integrative Analysis (2023) · cites this paper as [61]
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- Authors
- Bertrand, J.-A., McIntosh, A. R., Postuma, R. B., Kovacevic, N., Latreille, V., Panisset, M., Chouinard, S., & Gagnon, J.-F.
- Affiliations
- Rotman Research Institute (CA)
- Montreal General Hospital (CA)
- Hôpital du Sacré-Cœur de Montréal (CA)
- Centre Hospitalier de l’Université de Montréal (CA)
- Université du Québec à Montréal (CA)
- Corresponding author
- Bertrand, Josie-Anne
- Gagnon, Jean-François
- ORCID
- Venue
- Brain Connectivity
- Publisher
- SAGE Publications
- Published
- 2016-04
- Volume
- 6
- Issue
- 3
- Pages
- 216-224
- ISSN
- 2158-0014 (ISSN-L)
- 2158-0022
- OpenAlex
- W2336733549
- Cited by
- 36
- References
- 54
- Citations by year
- 2026: 3 · 2024: 1 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 4 · 2019: 4 · 2018: 5 · 2017: 5 · 2016: 1
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Connectivity (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Parkinson's disease, dementia, resting-state EEG, multiscale entropy, phase locking value, delta oscillations, gamma oscillations, EEG complexity, dementia risk prediction, neurodegeneration biomarkers
- MeSH terms
- Adult, Aged, Brain, Dementia, Electroencephalography, Female, Humans, Male, Middle Aged, Neuropsychological Tests, Parkinson Disease, Case-Control Studies, Brain Waves, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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