Comprehensive review of task-based neuroimaging studies of cognitive deficits in Alzheimer's disease using electrophysiological methods
- PMID: 37156399
- PMCID: PMC10261850
- DOI: 10.1016/j.arr.2023.101950
Comprehensive review of task-based neuroimaging studies of cognitive deficits in Alzheimer's disease using electrophysiological methods
Abstract
With an aging population, cognitive decline and neurodegenerative disorders are an emerging public health crises with enormous, yet still under-recognized burdens. Alzheimer's disease (AD) is the most common type of dementia, and the number of cases is expected to dramatically rise in the upcoming decades. Substantial efforts have been placed into understanding the disease. One of the primary avenues of research is neuroimaging, and while positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) are most common, crucial recent advancements in electrophysiological methods such as magnetoencephalography (MEG) and electroencephalography (EEG) have provided novel insight into the aberrant neural dynamics at play in AD pathology. In this review, we outline task-based M/EEG studies published since 2010 using paradigms probing the cognitive domains most affected by AD, including memory, attention, and executive functioning. Furthermore, we provide important recommendations for adapting cognitive tasks for optimal use in this population and adjusting recruitment efforts to improve and expand future neuroimaging work.
Keywords: Amyloid; Electroencephalography; Magnetoencephalography; Oscillations; Spectral power.
Copyright © 2023 Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of Competing Interest The authors report no biomedical financial interests or potential conflicts of interest.
References
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- Alzheimer’s Association, 2021. 2021 Alzheimer’s Disease Facts and Figures (Special Report No. 17(3)). - PubMed
-
- Alzheimer’s Disease International, 2017. Dementia in sub-Saharan Africa: Challenges and opportunities 69.
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