Abstract
Background: Mild cognitive deficits are more likely to occur with increasing age, and become more pronounced for people diagnosed with mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Conventional methods to identify cognitive declines (i.e., neuropsychological testing and clinical judgment) can lead to false positive diagnoses of cognitive impairment. Tools such as electroencephalography (EEG) offer additional measures of cognitive processing, indexing the electrophysiological changes associated with aging, MCI and AD.
Objective: We reviewed the literature on EEG to determine if auditory event-related potentials (ERPs) could distinguish between healthy aging, MCI, and AD.
Method: We searched two electronic databases (Medline and PyscInfo) for articles published between January 2005 and April 2017. Articles were considered for review if they included: i) participants 60 years of age or older; ii) healthy older adults or those diagnosed with MCI or AD; iii) at least one auditory elicited ERP component.
Results: Our search revealed 1532 articles (800 after removing duplicates); 719 were excluded through title/abstract review, and of the 81 remaining articles, 30 satisfied inclusion criteria. All studies compared cognitive function between at least two of the three selected populations. Our findings suggest that the P300 and N200 components may distinguish between healthy cognitive aging, MCI, and AD.
Conclusion: ERPs may be sensitive to progressive cognitive changes due to MCI and AD. The P300 and N200 may help identify patients who are likely to progress from MCI to AD, and could be a valuable clinical tool.
Keywords: Alzheimer's disease, event-related potentials, mild cognitive impairment, P50, N100, P100, N200, P300.
Current Alzheimer Research
Title:Auditory Event-related Potentials in Mild Cognitive Impairment and Alzheimer’s Disease
Volume: 15 Issue: 8
Author(s): Cassandra Morrison*, Sheida Rabipour, Frank Knoefel, Christine Sheppard and Vanessa Taler
Affiliation:
- School of Psychology, University of Ottawa, Ottawa, ON, Canada, Bruyère Research Institute, Ottawa, ON,Canada
Keywords: Alzheimer's disease, event-related potentials, mild cognitive impairment, P50, N100, P100, N200, P300.
Abstract: Background: Mild cognitive deficits are more likely to occur with increasing age, and become more pronounced for people diagnosed with mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Conventional methods to identify cognitive declines (i.e., neuropsychological testing and clinical judgment) can lead to false positive diagnoses of cognitive impairment. Tools such as electroencephalography (EEG) offer additional measures of cognitive processing, indexing the electrophysiological changes associated with aging, MCI and AD.
Objective: We reviewed the literature on EEG to determine if auditory event-related potentials (ERPs) could distinguish between healthy aging, MCI, and AD.
Method: We searched two electronic databases (Medline and PyscInfo) for articles published between January 2005 and April 2017. Articles were considered for review if they included: i) participants 60 years of age or older; ii) healthy older adults or those diagnosed with MCI or AD; iii) at least one auditory elicited ERP component.
Results: Our search revealed 1532 articles (800 after removing duplicates); 719 were excluded through title/abstract review, and of the 81 remaining articles, 30 satisfied inclusion criteria. All studies compared cognitive function between at least two of the three selected populations. Our findings suggest that the P300 and N200 components may distinguish between healthy cognitive aging, MCI, and AD.
Conclusion: ERPs may be sensitive to progressive cognitive changes due to MCI and AD. The P300 and N200 may help identify patients who are likely to progress from MCI to AD, and could be a valuable clinical tool.
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Cite this article as:
Morrison Cassandra*, Rabipour Sheida , Knoefel Frank , Sheppard Christine and Taler Vanessa , Auditory Event-related Potentials in Mild Cognitive Impairment and Alzheimer’s Disease, Current Alzheimer Research 2018; 15 (8) . https://dx.doi.org/10.2174/1567205015666180123123209
DOI https://dx.doi.org/10.2174/1567205015666180123123209 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
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