scholarly journals Event-related potentials and reaction time can distinguish healthy aging from mild Alzheimer's disease

2000 ◽  
Vol 21 ◽  
pp. 229
Author(s):  
Edward J. Golob ◽  
Arnold Starr
2018 ◽  
Vol 16 (1) ◽  
pp. 67-89 ◽  
Author(s):  
Cassandra Morrison ◽  
Sheida Rabipour ◽  
Vanessa Taler ◽  
Christine Sheppard ◽  
Frank Knoefel

Background: Cognitive deficits are correlated with increasing age and become more pronounced for people with mild cognitive impairment (MCI) and dementia caused by Alzheimer’s disease (AD). Conventional methods to diagnose cognitive decline (i.e., neuropsychological testing and clinical judgment) can lead to false positives. Tools such as electroencephalography (EEG) offer more refined, objective measures that index electrophysiological changes associated with healthy aging, MCI, and AD. Objective: We sought to review the EEG literature to determine whether visual event-related potentials (ERPs) can distinguish between healthy aging, MCI, and AD. Method: We searched Medline and PyscInfo for articles published between January 2005 and April 2018. Articles were considered for review if they included participants aged 60+ who were healthy older adults or people with MCI and AD, and examined at least one visually elicited ERP component. Results: Our search revealed 880 records, of which 34 satisfied the inclusion criteria. All studies compared cognitive function between at least two of the three groups (healthy older adults, MCI, and AD). The most consistent findings related to the P100 and the P3b; while the P100 showed no differences between groups, the P3b showed declines in amplitude in MCI and AD. Conclusion: Visually elicited ERPs can offer insight into the cognitive processes that decline in MCI and AD. The P3b may be useful in identifying older adults who may develop MCI and AD, and more research should examine the sensitivity and specificity of this component when diagnosing MCI and AD.


2015 ◽  
Vol 11 (7S_Part_12) ◽  
pp. P559-P559
Author(s):  
Claudio Babiloni ◽  
Claudio Del Percio ◽  
Nicola Marzano ◽  
Susanna Cordone ◽  
Giuseppe Noce ◽  
...  

Author(s):  
B.L. Brown ◽  
S.B. Hendrix ◽  
M. Cecchi ◽  
J.M. Scott ◽  
J.W. Silcox ◽  
...  

Event-related potentials (ERPs) are a physiological measure of cognitive function that have shown diagnostic and prognostic utility in Alzheimer’s disease (AD). In this study, we used a novel eigenvector-based technique to better understand brain electrophysiological differences between subjects with mild AD and healthy controls (HC). Using ERPs from 75 subjects with mild AD and 95 HC, we first calculated cognitive task eigenvectors within each subject from three conditions and then calculated second-order eigenvector components to compare the AD group to the HC group. A MANOVA of the three second-level components discriminated between AD and HC multivariately (Wilks’ lambda=.4297, p<0.0001, R2 = .5703), and also on each of the three components univariately (all 3 p-values<0.0001). The eigenvector-based technique used in this study accurately discriminated between the mild AD group and HC. As such, this analysis method adds to our understanding of the differences in ERP signal between AD and HC, and could provide a sensitive biomarker for diagnosis and monitoring of AD progression.


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