Cargando…

Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis

BACKGROUND: Early prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using noninvasive and sensitive neuromarkers, is key for early prevention of Alzheimer’s disease. We have developed individualized measures in electrophysiological brain signals during working memory...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Yang, Li, Juan, Schmitt, Frederick A., Jicha, Gregory A., Munro, Nancy B., Zhao, Xiaopeng, Smith, Charles D., Kryscio, Richard J., Abner, Erin L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902960/
https://www.ncbi.nlm.nih.gov/pubmed/33337367
http://dx.doi.org/10.3233/JAD-200931
_version_ 1783654640991076352
author Jiang, Yang
Li, Juan
Schmitt, Frederick A.
Jicha, Gregory A.
Munro, Nancy B.
Zhao, Xiaopeng
Smith, Charles D.
Kryscio, Richard J.
Abner, Erin L.
author_facet Jiang, Yang
Li, Juan
Schmitt, Frederick A.
Jicha, Gregory A.
Munro, Nancy B.
Zhao, Xiaopeng
Smith, Charles D.
Kryscio, Richard J.
Abner, Erin L.
author_sort Jiang, Yang
collection PubMed
description BACKGROUND: Early prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using noninvasive and sensitive neuromarkers, is key for early prevention of Alzheimer’s disease. We have developed individualized measures in electrophysiological brain signals during working memory that distinguish patients with aMCI from age-matched cognitively intact older individuals. OBJECTIVE: Here we test longitudinally the prognosis of the baseline neuromarkers for aMCI risk. We hypothesized that the older individuals diagnosed with incident aMCI already have aMCI-like brain signatures years before diagnosis. METHODS: Electroencephalogram (EEG) and memory performance were recorded during a working memory task at baseline. The individualized baseline neuromarkers, annual cognitive status, and longitudinal changes in memory recall scores up to 10 years were analyzed. RESULTS: Seven of the 19 cognitively normal older adults were diagnosed with incident aMCI for a median 5.2 years later. The seven converters’ frontal brainwaves were statistically identical to those patients with diagnosed aMCI (n = 14) at baseline. Importantly, the converters’ baseline memory-related brainwaves (reduced mean frontal responses to memory targets) were significantly different from those who remained normal. Furthermore, differentiation pattern of left frontal memory-related responses (targets versus nontargets) was associated with an increased risk hazard of aMCI (HR = 1.47, 95% CI 1.03, 2.08). CONCLUSION: The memory-related neuromarkers detect MCI-like brain signatures about five years before diagnosis. The individualized frontal neuromarkers index increased MCI risk at baseline. These noninvasive neuromarkers during our Bluegrass memory task have great potential to be used repeatedly for individualized prognosis of MCI risk and progression before clinical diagnosis.
format Online
Article
Text
id pubmed-7902960
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher IOS Press
record_format MEDLINE/PubMed
spelling pubmed-79029602021-03-05 Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis Jiang, Yang Li, Juan Schmitt, Frederick A. Jicha, Gregory A. Munro, Nancy B. Zhao, Xiaopeng Smith, Charles D. Kryscio, Richard J. Abner, Erin L. J Alzheimers Dis Research Article BACKGROUND: Early prognosis of high-risk older adults for amnestic mild cognitive impairment (aMCI), using noninvasive and sensitive neuromarkers, is key for early prevention of Alzheimer’s disease. We have developed individualized measures in electrophysiological brain signals during working memory that distinguish patients with aMCI from age-matched cognitively intact older individuals. OBJECTIVE: Here we test longitudinally the prognosis of the baseline neuromarkers for aMCI risk. We hypothesized that the older individuals diagnosed with incident aMCI already have aMCI-like brain signatures years before diagnosis. METHODS: Electroencephalogram (EEG) and memory performance were recorded during a working memory task at baseline. The individualized baseline neuromarkers, annual cognitive status, and longitudinal changes in memory recall scores up to 10 years were analyzed. RESULTS: Seven of the 19 cognitively normal older adults were diagnosed with incident aMCI for a median 5.2 years later. The seven converters’ frontal brainwaves were statistically identical to those patients with diagnosed aMCI (n = 14) at baseline. Importantly, the converters’ baseline memory-related brainwaves (reduced mean frontal responses to memory targets) were significantly different from those who remained normal. Furthermore, differentiation pattern of left frontal memory-related responses (targets versus nontargets) was associated with an increased risk hazard of aMCI (HR = 1.47, 95% CI 1.03, 2.08). CONCLUSION: The memory-related neuromarkers detect MCI-like brain signatures about five years before diagnosis. The individualized frontal neuromarkers index increased MCI risk at baseline. These noninvasive neuromarkers during our Bluegrass memory task have great potential to be used repeatedly for individualized prognosis of MCI risk and progression before clinical diagnosis. IOS Press 2021-01-19 /pmc/articles/PMC7902960/ /pubmed/33337367 http://dx.doi.org/10.3233/JAD-200931 Text en © 2021 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jiang, Yang
Li, Juan
Schmitt, Frederick A.
Jicha, Gregory A.
Munro, Nancy B.
Zhao, Xiaopeng
Smith, Charles D.
Kryscio, Richard J.
Abner, Erin L.
Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis
title Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis
title_full Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis
title_fullStr Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis
title_full_unstemmed Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis
title_short Memory-Related Frontal Brainwaves Predict Transition to Mild Cognitive Impairment in Healthy Older Individuals Five Years Before Diagnosis
title_sort memory-related frontal brainwaves predict transition to mild cognitive impairment in healthy older individuals five years before diagnosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902960/
https://www.ncbi.nlm.nih.gov/pubmed/33337367
http://dx.doi.org/10.3233/JAD-200931
work_keys_str_mv AT jiangyang memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT lijuan memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT schmittfredericka memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT jichagregorya memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT munronancyb memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT zhaoxiaopeng memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT smithcharlesd memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT krysciorichardj memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis
AT abnererinl memoryrelatedfrontalbrainwavespredicttransitiontomildcognitiveimpairmentinhealthyolderindividualsfiveyearsbeforediagnosis