Cholinergic dysfunction, neurodegeneration, and amyloid-beta pathology in neurodegenerative diseases.


Journal

Psychiatry research. Neuroimaging
ISSN: 1872-7506
Titre abrégé: Psychiatry Res Neuroimaging
Pays: Netherlands
ID NLM: 101723001

Informations de publication

Date de publication:
30 08 2020
Historique:
received: 27 11 2019
revised: 13 02 2020
accepted: 19 04 2020
pubmed: 9 6 2020
medline: 15 12 2020
entrez: 8 6 2020
Statut: ppublish

Résumé

Cholinergic dysfunction is central in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). The electroencephalography-based acetylcholine index (EEG-Ach index) has been proposed as a biomarker of cholinergic dysfunction. However, it is unclear how the EEG-Ach index relates to amyloid-beta pathology and neurodegeneration. We investigated the association between the EEG-Ach index and cerebrospinal fluid (CSF) amyloid-beta, CSF total tau, cortical thickness, and hippocampal volume from magnetic resonance imaging (MRI), and cognition. A total of 127 patients with different neurodegenerative diseases were studied. The EEG-Ach index was calculated from quantitative EEG using statistical pattern recognition. The EEG-Ach index was associated with hippocampal volume and cortical thickness in frontal, temporal, and occipital cortices. Cross-sectional sub-analyses based on a small sample suggests that the EEG-Ach index increases the closest to AD dementia, downstream to amyloid-beta pathology, CSF total tau, and hippocampal volume. We conclude that cholinergic dysfunction correlates with atrophy in brain areas important for AD pathogenesis, and this association is more prominent in the dementia stage. These results together with previous studies from this project suggest that the EEG-Ach index may be a useful biomarker for cholinergic dysfunction, with value for differential diagnosis of dementia and monitoring patients at the dementia stage.

Identifiants

pubmed: 32505903
pii: S0925-4927(20)30071-8
doi: 10.1016/j.pscychresns.2020.111099
pii:
doi:

Substances chimiques

Amyloid beta-Peptides 0
Biomarkers 0
Cholinergic Antagonists 0
tau Proteins 0
Scopolamine DL48G20X8X
Acetylcholine N9YNS0M02X

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

111099

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

Teodora Petrova (T)

Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Camila Orellana (C)

Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Vesna Jelic (V)

Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Anne-Rita Oeksengaard (AR)

Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Jon Snaedal (J)

Geriatric Clinic, Landspitali University Hospital Landakot, Reykjavik, Iceland.

Peter Høgh (P)

Regional Dementia Research Center, Department of Neurology, Zealand University Hospital and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

Birgitte Bo Andersen (BB)

Danish Dementia Research Center, Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Mala Naik (M)

Department of Geriatric Medicine, Deaconess Hospital, Bergen, Norway.

Knut Engedal (K)

Norwegian Advisory Unit for Ageing and Health, Vestfold Hospital Trust and Oslo University Hospital, Oslo, Norway.

Lars-Olof Wahlund (LO)

Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Daniel Ferreira (D)

Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden. Electronic address: daniel.ferreira.padilla@ki.se.

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Classifications MeSH