0.05). The score of HAMD(38.1?4.0/33.4?4.7,t=4.35), HAMA(22.6?5.5/11.7?2.7,t=10.93), GDS(14.0?1.2/12.1?2.0,t=4.92) of comorbidity group was significantly higher than that of the depression group. The social function (SF)(70.0?21.2/50.0?22.5,t=4.02) and physical function (PF)(79.2?13.6/69.1?13.6,t=3.25) scores of SF-36 were significantly higher in depressive group than in comorbidity group. Conclusion: Comorbid depression and anxiety and anxious depression are associated with more severe overall psychopathology than nonanxious depression in elderly persons, similar to observations in younger adults.

ObjectiveTo study the metastructure volumes of medial temporal lobe in diagnosis the patients with Alzheimer's disease (AD) using 3 dimensional MRI.Methods23 AD patients according to DSM-Ⅳ criteria and 23 normal controls (NC) were examined with 3D-MRI.Hippocampus formation,amygdala,entorhinal cortex ( EC ),perirhinal cortex ( PC),and comu temporale were measured with 3D-MRI.ResultsSensitivity and specificity of diagnosis AD were 73.9％,97％ ( Hippocampus formation) ;39.1％,95.7％ (amygdala) ;73.9％,95.7％ (EC) ;95.7％,87.0％ (PC) and 34.8％,39.1％ ( cornu temporale).Overall discriminate function =cornu temporal × 3.887 + PC × 5.960 - EC × 0.074 + amygdale × 3.489 + hippocampus formation × 6.656- 22.449.Over-all-accuracy was 91.3％.ConclusionThe total volume of PC can better diagnosis the mild to moderate AD than other structure of medial temporal lobe.The changes of the medial temporal lobe volume could be used in diagnosis the patients with Alzheimer's disease.

Objective To assess the reliability and validity of the Chinese version of the neuropsychiatric inventory (CNPI). Methods The CNPI was administered to 219 caregivers of patients with Alzheimer's disease (AD). Each caregiver was retested 4 weeks after initial testing. Results The Cronbach a coefficient of the total symptom scale was 0.69. The Cronbach α coefficient of the total caregiver distress subscale was 0.72. The Cronbach α coefficient of the entire inventory was 0. 82. The test-retest coefficients ranged from 0.66 to 0.98 (P < 0.01). Principal axis factoring analysis of the symptom subscale yielded a five-factor solution which contributed to 67.0% of the cumulative variance. Factor 1, which included aberrant motor behavior, hallucinations, delusion and irritability had the most significant contribution to the cumulative variance. Principal axis factoring analysis of the caregiver distress subscale also yielded a five-factor solution which contributed to 70.2% of the cumulative variance. Factor 1, which included depression, delusion, sleep/night behavior, aberrant motor behavior, and irritability had the most significant contribution to the cumulative variance. Conclusion This Chinese version of NPI is a reliable and valid tool for measuring neuropsychiatric disturbances in patients with AD.

Objective To study the feature of regional cerebral metabolism rate of glucose (rCMRglc) in patients with Alzheimer’s disease (AD) and the value of positron emission tomography (PET) scanning in diagnosis of AD. Methods 13 AD patients and 13 health controls ,Who matched in age,sex and education years,were scanned with PET. Results (1) Watching by naked eyes,there was mild decreasing of rCMRglc at parietal lobe in healthy elders. While in AD patients,there was widely decreasing of cerebral metabolism rate of glucose. The most significant region was parietal lobe, the next was temporal lobe,and the last was frontal lobe. (2) Detecting with PET and dealing with statistical parametric mapping (SPM) of 99 software,there was more significant decreasing of rCMRglc in regions 7,23,30,31 of cingulate gyrus,region 39 and 40 of pario-occipital lobe,region 20 of temporal lobe and region 6,8,9 of frontal lobe in AD group( P

Objective To evaluate the efficacy and safety in treatment of patients with mild to moderate Alzheimer’s disease (AD). Methods A total of 233 patients with mild to moderate potential AD were enrolled in a 16-week multi-center double blind clinical trial. All patients were randomized into two groups. 110 patients in galantamine group and 108 patients in donepezil group were enrolled in efficacy analysis. The scales of Alzheimer’s Disease Assessment Scale-Cognitive Subscale (ADAS-cog), Alzheimer’s Disease Cooperative Study Activities of Daily Living Scale (ADCS-ADL) and The Neuropsychiatric Inventory (NPI) were used to assess the effect at both baseline and the end of 16 weeks. Safety issues, including vital signs, lab assays and ECG examinations were measured. Results Patients in both groups were obviously improved in the total score of ADAS-cog (-5.4?6.4) in the galantamine group and (-4.0?7.3) in the donepezil group, P=0.098). 76% patients of the galantamine group had a score of ADAS-cog less than 20 at the end of 16 weeks treatment, which was higher than that of the donepezil group (58%, P=0.015). The sub-score of speech ability in ADAS-cog were improved in the galantamine group (baseline 2.8?2.9,16 weeks 1.8?2.5) compared with the donepezil group (baseline 2.8?3.0, 16 weeks 2.3?2.9, P=0.035). No significant difference of ADSC-ADL and NPI scale was found between the two groups (P=0.447 and 0.936 respectively). The sleep/night behavior was improved in the donepezil group (baseline 14%, 16 weeks 10%) compared with the galantamine group (baseline 23%, 16 weeks 22%, P=0.012). Two drug-related severe adverse events occurred during the trial, which were platelet reduction in the galantamine group and acute drug-induced hepatic injury in the donepezil group. The incidence of adverse events was 44% in the galantamine group and 47% in the donepezil group respectively. Galantamine had little influence on vital signs and lab assays. Conclusion Safe and well tolerated, galantamine improves the cognition, activities of daily living and neuropsychiatric symptoms of patients with mild to moderate AD.

Alzheimer's disease (AD) is a degenerative disease of the central nervous system characterized by progressive cognitive and behavioral disorders.Clinical manifestations include memory impairment, aphasia, apraxia, impaired visual spatial function, executive power, decreased computing power, personality and behavior changes and so on.At present, the incidence of dementia is increasing year by year, causing a huge social burden, and there is still no effective treatment.Therefore, many scholars try to prevent and delay the occurrence of cognitive impairment through the identification and control of risk factors.Combining with previous studies, nap is helpful for the maintenance and consolidation of memory.This article discusses the effect of nap on cognitive function and its related mechanisms.First, nap can improve cognitive function, but it depends on the length, the frequency of the nap, and the difficulty of the task.Second, the effect of nap on cognition may be through inflammatory response, neuroendocrine, Aβ and gene polymorphism.In addition, this paper also proposes future research prospects in terms of standardized research methods, deepening research on relevant mechanisms, and lifestyle interventions in view of the lack of previous research.

Objective To evaluate the clinical efficacy and safety of akatinol memantine in the treatment of Alzheimer's disease (AD).Methods Two hundred and forty-one patients with AD were randomly assigned to receive 10 mg of donepezil daily or 20 mg of memantine daily for 24 weeks.The primary efficacy variables were the Clinician' s Interview-Based Impression of Change Plus (CIBIC-Plus),the Alzheimer Disease Assessment Scale-cognition (ADAS-cog) and the Activities of Daily Living (ADL).The secondary efficacy variables were the Neuropsychiatric Inventory (NPI) and the Mini-Mental Status Examination (MMSE).Results Two hundred and seven patients completed the study and were evaluated at week 24.Both memantine and donepezil had significant efficacies at the end point, according to the ADAS-cog, the ADL, the NPI and the MMSE.Patients receiving memantine had a similar outcome as those receiving donepezil, according to the results of all the variables changes (CIBIC-Plus: memantine 3.4±0.8vs donepezil 3.5±0.8; ADAS-cog: memantine-4.7±5.8 vs donepezil-4.6±6.5; ADL: memantine -2.4±6.7 vs donepezil-2.2±5.3 ; NP1: memantine-5.8±9.0 vs donepezil-3.1±8.5 ; MMSE:memantine 1.7±3.1 vs donepezil 1.8±2.8, all P >0.05).The adverse events were as following: donepezil group 41.88% and memanintine group 30.58%.Conclusion The memantine as a new drug for AD, has the similar efficacy as donepezil, and it is safe.

OBJECTIVETo investigate the features of regional cerebral metabolic rate of glucose (rCMRglc) in patients with mild cognitive impairment (MCI) by positron emission-tomography and its relationship with neuropsychological test.

METHODSPositron emission tomography, mini-mental state examination and Wechsler memory scale were applied in 10 patients with MCI and 10 healthy volunteers as the control group.

RESULTSScores of mini-mental state examination and Wechsler memory scale in MCI patients were lower than those in the control group (P < 0.01). rCMRglc of the left orbital gyrus, right middle temporal gyrus and right putamen was lower in the MCI group than in the control group (P < 0.05). Correlation analysis in the MCI group indicated that rCMRglc of many brain regions such as the orbital gyrus, putamen, left hippocampus and parahippocampal gyrus, cingulate gyrus, left amygdaloid body, precentral gyrus, postcentral gyrus, and medial occipitotemporal gyrus in MCI patients, were correlated negatively with age; while the rCMRglc of many parts of the brain such as the left putamen, temporal lobe, anterior cingulate gyrus, left insular lobe, amygdaloid body, precentral gyrus, postcentral gyrus and medial occipitotemporal gyrus were correlated positively with mini-mental state examination; and rCMRglc of the left putamen, temporal lobe, left insular lobe, precentral gyrus and postcentral gyrus were correlated positively with Wechsler memory scale. The right putamen, the right inferior temporal gyrus, precentral gyrus, and left postcentral gyrus were correlated positively with the length of education. However, only rCMRglc of the left amygdaloid body were correlated positively with gender.

CONCLUSIONThe rCMRglc was lower in the orbital gyrus and putamen of MCI patients. Their rCMRglc were correlated with their cognitive impairment severity, age, length of education and sex.

Aged ; Brain ; metabolism ; Cognition Disorders ; metabolism ; psychology ; Female ; Glucose ; metabolism ; Humans ; Male ; Middle Aged ; Neuropsychological Tests ; Tomography, Emission-Computed

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

Objective:To evaluate the value of visual analysis and standardized uptake value ratio (SUVR) during 18F-florbetapir (AV45) PET/CT brain imaging in diagnosis of β-amyloid (Aβ) deposition in patients with mild cognitive impairment (MCI) and Alzheimer′s disease (AD), and to explore the clinical ancillary value of the two indexes. Methods:From December 2018 to July 2019, a total of 47 subjects, including 5 (3 males, 2 females, age (58±13) years) normal controls (NC), 8 (2 males, 6 females, age (66±10) years) patients with AD and 34 (16 males, 18 females, age (70±7) years) patients with MCI were enrolled. All subjects underwent 18F-AV45 PET/CT scan. All images were evaluated by visual analysis and SUVR were calculated. The diagnostic efficiencies of visual analysis and SUVR were compared by McNemar test and Kappa test. One-way analysis of variance and Welch test were used to compare data differences. The best threshold value of SUVR was obtained by receiver operating characteristic (ROC) curve analysis. Results:The positive rate of Aβ deposition for all subjects was 46.81%(22/47) by SUVR analysis, and 38.30%(18/47) by visual analysis. There was no significant difference between the two methods ( χ2=33.15, P>0.05), and the consistency was good ( Kappa=0.83). Considering the clinical diagnosis as the"gold standard", the Aβ deposition obtained by visual analysis and SUVR analysis can effectively distinguish AD from NC, and the sensitivities were 7/8 vs 8/8, respectively, both specificities were 5/5( χ2=9.48, P>0.05), with good consistency ( Kappa=0.84). SUVR quantitative analysis could distinguish AD from NC, AD from MCI ( F values: 3.99-8.79, all P<0.01), but could not distinguish NC from MCI (all P>0.05). ROC curve analysis showed that the best threshold value of precuneus′ SUVR was 1.08 for the differential diagnosis of AD and NC; for the differential diagnosis of AD and MCI, the best threshold value of lateral temporal′s SUVR was 1.06. Conclusion:Visual analysis was consistent with SUVR′s qualitative determination during 18F-AV45 PET/CT imaging for brain Aβ deposition, while SUVR quantitative analysis could assist in the differential diagnosis of AD and NC, AD and MCI.