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

Author:

Jiang Yang12,Li Juan3,Schmitt Frederick A.42,Jicha Gregory A.42,Munro Nancy B.5,Zhao Xiaopeng6,Smith Charles D.42,Kryscio Richard J.72,Abner Erin L.82

Affiliation:

1. Department of Behavioral Science, College of Medicine, University of Kentucky, Lexington, KY, USA

2. Alzheimer’s Disease Center, Sanders-Brown Center on Aging, University of Kentucky College of Medicine, Lexington, KY, USA

3. Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Science, Beijing, China

4. Department of Neurology, College of Medicine, University of Kentucky, Lexington, KY, USA

5. Oak Ridge National Laboratory, Oak Ridge, TN, USA

6. Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA

7. Department of Statistics, College of Art and Sciences, University of Kentucky, Lexington, KY, USA

8. Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, KY, USA

Abstract

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.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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