Related Experiment Video
Updated: Jun 28, 2026

Examining the Characteristics of Episodic Memory using Event-related Potentials in Patients with Alzheimer's Disease
Published on: August 30, 2011
Usefulness of event-related potentials in the assessment of mild cognitive impairment
Vasileios Papaliagkas1, Vasileios Kimiskidis, Magda Tsolaki
1Department of Experimental Physiology, Aristotle University of Thessaloniki, Greece. vpapal@auth.gr
Background:
The aim of this study was to determine if changes in latencies and amplitudes of the major waves of Auditory Event-Related Potentials (AERP), correlate with memory status of patients with mild cognitive impairment (MCI) and conversion to Alzheimer's disease (AD). 91 patients with MCI (mean +/- SD age = 66.6 +/- 5.4, MMSE score = 27.7) and 30 age-matched healthy control (AMHC) subjects (mean +/- SD age = 68.9 +/- 9.9) were studied. 54 patients were re-examined after an average period of 14(+/- 5.2) months. During this time period 5 patients converted to AD. Between-group differences in latency and amplitude of the major AERP waves (N200, P300 and Slow Wave) were determined. Within each group, correlation coefficients (CC) between these characteristics of the different AERP waves were calculated. Finally, for patients, CCs were determined among each AERP wave and their age and MMSE scores. Confirmatory factor analysis (CFA) was used to examine the underlying structure of waveforms both in the control and the patient groups.
Results:
Latencies of all major AERP components were prolonged in patients compared to controls. Patients presented with significantly higher N200 amplitudes, but no significant differences were observed in P300 amplitudes. Significant differences between follow-up and baseline measurements were found for P300 latency (p = 0.009), N200 amplitude (p < 0.001) and P300 amplitude (p = 0.05). MMSE scores of patients did not correlate with latency or amplitude of the AERP components. Moreover, the establishment of a N200 latency cut-off value of 287 ms resulted in a sensitivity of 100% and a specificity of 91% in the prediction of MCI patients that converted to AD.
Conclusion:
Although we were not able to establish significant correlations between latencies and amplitudes of N200, P300 and SW and the patients' performance in MMSE, which is a psychometric test for classifying patients suffering from MCI, our results point out that the disorganization of the AERP waveform in MCI patients is a potential basis upon which a neurophysiologic methodology for identifying and "staging" MCI can be sought. We also found that delayed N200 latency not only identifies memory changes better than the MMSE, but also may be a potential predictor of the MCI patients who convert to AD.
Insights
Delayed auditory event-related potentials (AERP) like N200 latency show promise in identifying mild cognitive impairment (MCI) and predicting conversion to Alzheimer's disease (AD). This neurophysiological method may outperform traditional cognitive tests.
Area of Science:
- Neuroscience
- Cognitive Science
- Medical Diagnostics
Background:
- Mild cognitive impairment (MCI) and Alzheimer's disease (AD) significantly impact memory and cognitive function.
- Auditory Event-Related Potentials (AERP) offer insights into neural processing related to cognitive tasks.
- Understanding AERP changes in MCI is crucial for early detection and disease progression monitoring.
Purpose of the Study:
- To investigate the correlation between AERP wave changes (latency, amplitude) and memory status in MCI patients.
- To determine if AERP characteristics can predict the conversion of MCI to AD.
- To compare AERP findings with traditional cognitive assessments like the Mini-Mental State Examination (MMSE).
Main Methods:
- Auditory Event-Related Potentials (AERP) were recorded in 91 MCI patients and 30 healthy controls.
- AERP components (N200, P300, Slow Wave) latency and amplitude were analyzed.
- Confirmatory factor analysis (CFA) examined AERP waveform structures; correlations with MMSE scores and follow-up conversions were assessed.
Main Results:
- Patients with MCI exhibited prolonged latencies across major AERP components compared to controls.
- Significantly higher N200 amplitudes were observed in MCI patients; P300 amplitudes showed no significant difference.
- A N200 latency cutoff of 287 ms demonstrated 100% sensitivity and 91% specificity in predicting MCI to AD conversion.
Conclusions:
- AERP waveform disorganization in MCI suggests a potential neurophysiological basis for identifying and staging cognitive decline.
- Delayed N200 latency is a more effective indicator of memory changes than MMSE in MCI patients.
- Delayed N200 latency serves as a potential predictor for MCI patients who convert to Alzheimer's disease.
More Related Videos
10:02Event Related Potentials (ERPs) and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder (ADHD)
Published on: March 12, 2020
12:00Investigating the Effects of Antipsychotics and Schizotypy on the N400 Using Event-Related Potentials and Semantic Categorization
Published on: November 19, 2014