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The Meaning Of Neuropsychological Test And Electroencephalogram Power Spectrum In The Diagnosis Of Mild Cognitive Impairment And Alzheimer’s Disease

Posted on:2013-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:H X LiFull Text:PDF
GTID:2234330371993903Subject:Neurology
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Objective:(1)Evaluate the meaning of neuropsychological testing in the diagnosis of mildcognitive impairment and alzheimer’s disease;(2)Explore the role of electroencephalogram power spectrum in the diagnosis ofmild cognitive impairment and alzheimer’s disease.Methods:40patients is collected from June2011to January2012in the outpatient anddepartment of neurology of the first affiliated hospital of Soochow university.Mildcognitive impairment patients and early alzheimer’s disease patients every20cases.At thesame time to collect no cognitive impairment, eliminate mental and body chronicmedical individual,20cases as a comparison.All patients carry out Hachinski ischemiaindex scale evaluation, evaluation scores are4points below, then all doneuropsychological tests.Including the mini-mental state examination(MMSE), TheActivities of Daily Living score (ADL), Clinical dementia rating scale(CDR), andalzheimer’s rating scale-Cognitive individual table (ADAS-cog).And routine EEGexamination and power spectrum analysis.All patients separate into three groups,Mildcognitive impairment group as the first group,the mild dementia group second group,thecontrol group into three groups.Neuropsychological scores and the power Values of EEGpercentage of EEG percentage between the two groups,respectively,do the statisticalanalysis.Results:1Among the groups, the comparison of MMSE score, time orientation, immediatememory, attention and computing power, delayed recall and the structural capacity, both P <0.05, there is a significant statistical difference; groups of ADAS-cog scores, thestructural practice and orientation scores, both P <0.05, there is a significant statisticaldifference.2(1) Group1and Group3, MMSE score is of statistically significant difference inclassification of the degree of dementia (P<0.01); ADL score is of statistically significantdifference in the classification of the degree of dementia (P<0.05);(2) group1and group2, MMSE and ADL score both are of significant differences in classification of the degreeof dementia(P<0.05);(3)group2and3, MMSE score, ADL score and ADAS-cog scoreare of statistically significant differences in the degree of dementia classification (P <0.01).3The regression analysis of sub-item of the MMSE, including delayed recall,immediate memory, attention and computing power, and the writing score, all of P <0.05,statistically significant differences in the classification of the degree of dementia. theregression analysis of ADAS-cog sub-item, including word identification, attention,structure and intention, both P <0.05, statistically significant differences in theclassification of the degree of dementia.4(1) the right cerebral hemisphere:correlation analysis between MMSE score and θband percentage power values,and α-band percentage power values, both P <0.05, there isa statistically significant difference.(2) the left cerebral hemisphere: orrelation analysisbeween MMSE score and δ band percentage power values, and θ band percentage powervalues,and beta band percentage power values, both P <0.05, there is a statisticallysignificant difference.(3) correlation analysis of the left cerebral hemisphere: the ADAS-cog score and θ band percentage power values, P <0.05, there are statistically significantdifferences.5(1) on both sides of the hemisphere:δ, θ and alpha band percentage powervalues in group1and group3, group2and3group comparison, P values are less than0.05, statistically significant differences;(2) in the right brain hemisphere β bandpercentage power values in the comparison group2and group3, P values are less than 0.05, statistically significant differences.6(1) The δ band percentage of power values in group1and3group, group2andgroup3of regression analysis, P values are less than0.05, the existence of obvioussignificant differences;(2) The θ band percentage of power values in group1and group2, group2and group3of regression analysis, P less than0.05, there are significantdifferences.Conclusions:(1) Memory impairment, disorientation, and structural disabilities in times ofmild cognitive impairment has been significantly damaged.(2) MMSE score and sub-project that reflects the memory impairment can betterreflect the degree of dementia classification.(3) The most valuable parameter in the EEG power spectrum is the change of θ,followed by δ activities. δ and θ band relative power can be used as a stable and objectivediagnostic indicators.(4) MMSE and the percentage of θ band power value in EEG power spectrumhave diagnostic value in mild cognitive impairment and mild dementia.
Keywords/Search Tags:Neuropsychological scale, power spectrum, Alzheimer’s disease, mild cognitiveimpairment, diagnosis
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