| Memory and cognitive decline in normal aging is an inevitable phenomenon. Refers to thecognitive dysfunction, including perception, memory, language, abstract thinking, etc.,high-level brain dysfunction, is the indication of abnormal brain function. Electroencephalogram(EEG) is a normal brain structure and function of whether or not important external performance,cognitive function as an important aspect of brain function, is also to the form or function of thebrain basis. Therefore, EEG characteristics of the elderly and its relationship with cognitivefunction, especially with MCI, Alzheimer's disease the relationship between cognitive decling inelderly early diagnosis and providing the basis of proven physiological basis of greatsignificance is impinot.Objective1.finding the normal elderly people`s electroencephalogram (EEG) the general performancein Taiyuan.2. Founding that cognitive declining and EEG changes in relevant circumstances3. Mild cognitive impairment icompare with normal age older EEG, determining thedifferent memory and language barriers, differences in EEG characteristics.Methods1.Using random cluster sampling method,1660 older people over 65 old were collected inthe old barracks community, the river floods Bay north communities, tianbie communities and148 communities in Taiyuan. Removing incomplete questionnaires and EEG artifact analysts cannot be more,actually received the survey 1568 older people of qualified.2. The persons with complete the questionnaire and the EEG artifact less patients wereselected as research subjects for case-control study from the previous survey 1568 people aged65 or older. A n:m matched case-control study compared normal elderly and MCI were related todifferences in EEG characteristics.Patient group: MCI diagnostic standard reference DSM-IV "Diagnostic Criteria of U.S.mental illness", 138 MCI patients were selected .Control group: required age±1 years of age, same sex, same education with patient group.Able to complete the intelligence test, EEG and other test operations, cognitive functions were normal. 248 persons were selectded.3. The general situation and the MMSE test: a survey using self-designed questionnairesurvey of content including age, gender, education, occupation, income, already suffering fromdisease, etc. and simultaneously carrying out MMSE examination.4. EEG measurement: Using The Nanjing Wyeth's portable 16-channel EEG. Record quieteyes closed, quiet eyes opened, eyes closed deep breath under the three states EEG artifact-freefor 2-3 minutes. EEG acquisition environment is quiet and no interference.5. Cognitive Measurement: Using Wechsler Adult Intelligence Scale (WAIS-R) in thearithmetic, digit span, mapping, block diagram and selected from within the intelligence test thanepisodic memory, selected from the Greek - in learning ability tests Short-term visual memory,spatial reasoning tests measure 9 elderly cognitive level.6. Statistical analysis: The SPSS13.0 was used in entring data and in statistical analysis . ttest, simple correlation analysis, cluster analysis, multiple linear regression methods and ROCcurves were the main methods used in the study.Result1.Older groups of different age groups statistically significant is difference betweenαpower (F = 2.943, P<0.05),andθpower in head points statistically significant is differencebetween groups (P <0.05);Men'sαpower is lower than females`(t=3.710, P﹤0.05), andθpower is differences between male and female groups (P<0.05), higher in females thanmales;Mental labour'αpower is higher than manual labour'(t=5.039,P﹤0.05), Manuallabour'θpower is higher than mental labour'(P <0.05);αpower in the high education group ishigher than in the low education group (F = 2.151, P <0.05),θpower in the low education groupis higher than in the high education group (P <0.05).2. The EEGθpower in 16 channels negatively correlated with the nine cognitive tests. Thenegative correlation between block design, visual attention span and of left frontal lobe,arithmeticandθpower of mid-line reached statistical difference(P <0.05).3. Theαpower of MCI persons is lower than normal cognitive function(t=16.201,P﹤0.05), butθpower are higher than normal cognitive function(P﹤0.05), the difference isstatistically significant .4. In the sub-Gender, Labor nature of the educational level of the case-control study,αwavepower in case group is lower than the control group, but except for a few outside sites,θwavepower of case group and control group, the difference is statistically significant(P﹤0.05)。5.θwaves and MMSE draw ROC curve showed a right posterior temporal, 0.75 area officeas MCI diagnosis bounds, the point value of 10.25θwave power, sensitivity 0.73, specificity Conclusionαwave is reflected in an important indicator of cognitive function,αmay be moderated bythe normal physiological function of brain aging or the pathological state into a sensitive markerof early .An increase in right temporal EEG slow-wave decline in cognitive function with goodprediction effect, so EEG can be used as cognitive dysfunction secondary diagnostic tool...
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