(ERP-MMN)'s Value In Diagnose, Typing And Prognosis Of Mild Cognitive Impairment

Objects:To evaluate the value of Event-related potential-Mismatch Negativity(ERP-MMN) for diagnosis, classification and prognosis of Mild Cognitive Impairment(MCI). Moreover, we also assess the availability to complement diagnosis and prognosis of MCI.Method:176 people were enrolled in this study, including 109 MCI patients(the diagnostic criteria from Experts' common understanding of Chinese prevention and treatment of cognitive dysfunction, 2005) and 67 normal people.In term of the clinical symptom and performance of neuropsychological measures including Minimum Mean Squared Error (MMSE), Sigeriatric Depression Scale (GDS), Clinical Dementia Rating (CDR), Activity of Daily Living Scale (ADL), HachinskiInchemicScore (HIS) and Hamilton Depression Scale (HAMD), examination of MMN.86 of 109 MCI patients were divide into progressive mild cognitive impairment (PMCI) and stable mild cognitive impairment (SMCI) by.clinical symptom and performance of neuropsychological measures during 1 year follow-up period had no disturbance of intelligence or psychiatric history and family history. Through analysis of PL and AMP, we assessed the value of MMN in dignosis of PMCI and SMCI and mearsured degradation rate in contrast to normal subjects.Result:In contrast to normal control subjects (NC), peak latency (PL) of MMN in subjects of MCI was significantly longer and Amp was significantly shorter, 311.93±26.01ms verus 286.99±29.11ms, ( P﹤0.01 ) and 3.54±1.35μv verus 4.57±1.06μv,(P﹤0.01), respectively. Moreover, PL of MMN in subjects of PMCI was significantly longer than of subjects of SMCI, 329.94±25.85ms verus 309.83±25.36ms,(P﹤0.01)However, significantly difference was not obsverved in Amp of MMN between subjects of PMCI and SMCI. Similarly, there was no apparent difference in neuropsychological measures across two phenotypes, PMCI and SMCI. Interestingly, we observed a degradation rate of 10.5% from MCI to AD during 1 year follow-up period.Conclusion:MMN is appropriate when is required to reflect and monitor periodly cognitive state of subjects of MCI. Importantly, PL of MMN is more sensitive predictor for AD than Amp of MMN. Moreover, PL of MMN surpass neuropsychological measures when predicting AD. In addition, our data reveal that degradation rate from MCI to AD is slightly lower than that from previous literatures.