scholarly journals Alcohol use disorder and mild cognitive impairment: Shared neural signatures during an episodic memory task

2021 ◽  
Vol 17 (S5) ◽  
Author(s):  
Katie L Barlis ◽  
Nicholas Bustos ◽  
Graham Warner ◽  
Duncan Nowling ◽  
Emily Cosentino ◽  
...  
2011 ◽  
Vol 5 (2) ◽  
pp. 126-136 ◽  
Author(s):  
Mehul A. Trivedi ◽  
Travis R. Stoub ◽  
Christopher M. Murphy ◽  
Sarah George ◽  
Leyla deToledo-Morrell ◽  
...  

2008 ◽  
Vol 119 (9) ◽  
pp. e113-e114
Author(s):  
C. Sanchez Catasús ◽  
J. Samper ◽  
R. Diaz ◽  
A. Aguila ◽  
Y. Ginarte ◽  
...  

2020 ◽  
pp. 1-11
Author(s):  
Yang Jiang ◽  
Juan Li ◽  
Frederick A. Schmitt ◽  
Gregory A. Jicha ◽  
Nancy B. Munro ◽  
...  

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.


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