Title: T52. Mismatch negativity in the diagnosis of Alzheimer disease
Abstract: Dementia is the major health issue in aging society. Among which, Alzheimer disease is the leading cause of dementia. The accumulation of amyloid plague causes the possible neurotoxicity of the brain particularly in hippocampus area, which results in the short-term memory loss as the early clinical symptom of the Alzheimer disease. The abnormal plasticity related to the NMDA receptor lies in the underlying mechanism of functional abnormality. Mismatch negativity (MMN) is an event related potential reflecting the automatic novel detection in our brain which related to fronto-temporal circuits. It could be meliorated by the NMDA blockade. Here, we tried to use MMN as a biomarker for the detection of functional abnormality in Alzheimer disease. Total 25 healthy normal controls (6 Males and 19 Females) and 25 AD patients (10 Males and 15 Females) were completely collected. We recorded auditory MMN with four-deviant protocol with 32-channel EEG. Table 1 showed the individual MMSE score and profile of the patients. In Fig. 1, the MMN component was identified as the peak negative wave within the 150–250 ms latency range. We evaluated the peak amplitude and peak latency of MMN at the Fz electrode. Table 2 showed the average latency and amplitude of MMN in controls and dementia patients. A significant difference was noted in protocol 3 (p = 0.03, independent t-test) and a trend of significance in protocol 2 and 4 (p = 0.06, p = 0.07). Fig. 2 showed the relative change of normalized Mismatch Negativity amplitude in responsive to the protocol change. There was a trend of increasing ratio in normal subjects but not in dementia patients. In consistence with other papers, we found reduced MMN in dementia patients, which may related to abnormal NMDA related plasticity change due to short-term memory impairment. Of interest, we also found the increasing trend of normalized Mismatch Negativity amplitude in responsive to the protocol change in normal subjects but not in dementia patients. This novel results serve a possible biomarker in the detection of functional abnormality in dementia patients.
Publication Year: 2018
Publication Date: 2018-05-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot