Alzheimer’s disease (AD) is a neurodegenerative disease that has become increasingly serious with the aging of human society. It has become an important factor that hinders the development of society, making early diagnosis and intervention of great significance. In recent years, with the continuous development of computer technology, deep learning has shown superior performance in processing AD big data, identifying effective detection indices, and improving detection accuracy. In this paper, the research progress of deep learning in early diagnosis of AD in areas such as neuroimaging data, electroencephalogram, blood and genetic data, and multimodal fusion data was mainly introduced. Common deep learning models were summarized, and future research directions in this field were discussed.

Objective:To analyze the electroencephalogram (EEG) features of patients with Alzheimer’s disease (AD) and mild cognitive impairment (MCI), and to combine the characteristics for classification and prediction.Methods:One hundred and thirty-five patients attending the Department of Neurology at the General Hospital of Tianjin Medical University were enrolled, including 34 patients with AD, 67 patients with MCI, and 34 healthy control (HC). The electroencephalogram signals of these patients in the resting state were collected and preprocessed. Relative power spectral density features and sample entropy features on a multi-band scale were extracted to compare the whole-brain differences in electroencephalogram features among the 3 groups of subjects, and then subdivided into brain regions and individual leads for in-depth analysis. The above two features were fused to classify and predict AD, MCI, and HC by support vector machine (SVM).Results:The frontal regions had higher δ relative power spectral densities than the other regions, and the occipital and temporal regions showed relatively lower distributions. θ-Band relative power spectral densities had a more even distribution of sizes across brain regions. α-Band relative power spectral densities were concentrated in the occipital lobe, while β-band relative power spectral densities were mainly concentrated in the parietal and temporal lobes. Except for the central lobe, the δ-band relative power spectral densities of the AD group were higher than those of the MCI group ( P < 0.05) and HC group ( P < 0.01) in all brain regions and the whole brain. θ-band relative power spectral densities of the AD group were higher than those of the MCI gourp ( P < 0.001) and HC group ( P < 0.001) in the whole brain and in all brain regions. α-Band relative power spectral densities of the AD group were lower than those of the other groups only in the temporal lobe (all P < 0.05). The relative power spectral density of the β-band in the AD group was higher than that of the other groups in the whole brain and in all brain regions ( P < 0.05, 0.01, 0.001). The difference in the relative power spectral density of the δ-band in the C3 lead in the central lobe of the AD and HC groups was statistically significant ( P < 0.05). The relative power spectral density of the γ-band in the temporal lobe was higher than that in the other regions of the AD group, the MCI group, and the HC group. The relative power spectral density of the γ-band in the T3 lead in the AD group was significantly lower than that in the T4 lead. The average entropy of samples in the whole brain and in each brain region was lower than that in the HC group in the AD and MCI groups (all P < 0.05). The entropy of the samples at lead C3 in the AD group was lower than that in the MCI group ( P < 0.05). The differences between the relative power spectral density, sample entropy, and the actual data classification evaluation indexes (accuracy rate, precision rate, recall rate, and F1 score) that fused the two features, and the rearranged data were all statistically significant (all P < 0.001). When the relative power spectral density feature and the sample entropy feature were fused in the classification features, the best classification prediction was achieved, with an accuracy rate of 80%, a precision rate of 78%, a recall rate of 78%, and the F1 score of 79%. Conclusions:Relative power spectral density and sample entropy analysis can reveal the abnormalities of electroencephalogram activities of AD and MCI patients from different perspectives (linear and nonlinear), and the combination of these two features in classification prediction can improve the classification effect.

Abstract: Integrated stress response is an adaptive response produced by eukaryotic cells after intracellular and extracellular stimulation. The activation of integrated stress response inhibits the translation of most proteins, yet it can promote the translation of certain proteins to cope with complex cellular microenvironment changes. A large number of studies have found that in a variety of nervous system diseases, the integrated stress response can be activated by stress signals of disease-related cells and participates in the occurrence and progression of diseases through processes such as learning and memory consolidation, myelin regeneration and synaptic plasticity. This article summarizes the role, mechanism and possible drug targets of integrated stress response in central nervous system diseases and discusses the potential of pharmacological methods to regulate integrated stress response in the treatment of central nervous system diseases, in order to provide reference for pathological research on and drug development for central nervous system diseases.

Objective:To investigate the changes in γ-aminobutyric acid (GABA) receptor currents of hippocampal dentate gyrus granule cells in prepubertal and early pubertal female mice.Methods:Female mice were selected as the study objects; 3 to 4 -week-old mice were selected as the pre-puberty group ( n=6); and 5 to 6 -week-old mice were selected as the puberty group ( n=6). The whole-cell patch clamp technique was used to record the spontaneous inhibitory post-synaptic current (sIPSC), mini-inhibitory post-synaptic current (mIPSC), and tonic current of hippocampal granulosa cells in the DG region of pre-pubertal and early pubertal female mice, and their changes were analyzed. Results:The frequency of sIPSC in the pre-puberty group and puberty group was (2.22 ± 0.12) Hz and (2.30 ± 0.21) Hz, respectively. The amplitude of sIPSC in the pre-puberty group and the puberty group was (19.97 ± 2.01) pA and (23.80 ± 2.86) pA, respectively. The experimental results showed no significant changes in frequency and amplitude of sIPSC of hippocampal granulosa cells in pre-pubertal and early pubertal mice (all P > 0.05), and no statistical significance in the cumulative frequency and amplitude of sIPSC between two groups (all P > 0.05). The frequency of mIPSC in the pre-puberty group and the puberty group was (0.87 ± 0.08) Hz and (2.15 ± 0.21) Hz, respectively. The amplitude of mIPSC in the pre-puberty group and puberty group was (12.51 ± 0.11) pA and (29.67 ± 0.19) pA, respectively. Compared with the pre-pubertal mice, the frequency and amplitude of mIPSC from hippocampal granulosa cells in early pubertal mice are significantly increased ( P < 0.001). There was also a significant difference in the cumulative frequency and amplitude of sIPSC between the two groups ( P < 0.001). The tonic current of the pre-puberty group and puberty group was (17.40 ± 1.64) pA and (24.70 ± 2.81) pA, respectively, and the tonic current in early pubertal mice was significantly higher than that in pre-pubertal mice ( P < 0.05). Conclusions:GABA receptor current is enhanced in early pubertal female mice compared with pre-pubertal females. The inhibitory activity of hippocampal granulosa cells in early adolescent female mice was increased.

Objective It aims to investigate the current status of patient trust in physicians among inpatients at tertiary public hospitals in China and to analyze the factors influencing this trust.The goal is to provide insights for enhancing patient trust and improving doctor-patient relationships.Methods Relying on the third"third party evaluation of national action to improve medical services"project,it surveyed inpatients from 136 tertiary public hospitals across 31 provinces(including autonomous regions and municipalities)and the Xinjiang Production and Construction Corps.A total of 21 092 inpatient questionnaires were returned.Data obtained were statistically analyzed using R software version 4.3.2.Results The trust level in attending physicians among inpatients at tertiary public hospitals in China was found to be 98.37％.Influential factors on this trust level included patient occupation,annual family income,type and region of the hospital and so on.Conclusion Overall,the level of trust in physicians among inpatients at tertiary public hospitals in China is high,though regional differences exist.It should pay attention to non-medical factors such as inpatient ward environment and hospital service quality.Improving these aspects can enhance the overall patient experience,further improve doctor-patient relationships.

Objective It aims to investigate the status quo of nurses'emotional exhaustion in tertiary public hospitals in China and analyze its influencing factors,so as to provide suggestions for formulating targeted policy measures to reduce nurses'emotional exhaustion.Methods Relying on the fifth"The Third-Party Evaluation of the China Healthcare Improvement Initiatives"project,it surveyed nurses from 143 tertiary public hospitals across 31 provinces(including autonomous regions and municipalities)and the Xinjiang Production and Construction Corps.Univariate analyses were performed using the Pearson chi-square test.Multifactorial analyses were performed using ordered multicategorical logistic regression analysis.Results The score of nurses'emotional exhaustion in tertiary public hospitals in China was 8.00(2.00～16.00),of which mild exhaustion accounted for 79.00％,moderate exhaustion accounted for 10.00％,and severe exhaustion accounted for 11.00％.Gender,age,number of children,region,type of hospital,department,employment form,assume scientific research task,excessive workload,salary and hospitals carry out psychological guidance were the influencing factors of nurses'emotional exhaustion.Conclusion Nurses in tertiary public hospitals in China are at a mild level of emotional exhaustion,but in some groups the degree is more serious.Policy makers and hospital managers should focus on special groups,implement the reform of salary system,reduce nurses'workload,reasonably arrange working hours,improve the working environment of hospitals,and strengthen nurses'psychological guidance.

Objective It aims to investigate the current status of patient trust in physicians among inpatients at tertiary public hospitals in China and to analyze the factors influencing this trust.The goal is to provide insights for enhancing patient trust and improving doctor-patient relationships.Methods Relying on the third"third party evaluation of national action to improve medical services"project,it surveyed inpatients from 136 tertiary public hospitals across 31 provinces(including autonomous regions and municipalities)and the Xinjiang Production and Construction Corps.A total of 21 092 inpatient questionnaires were returned.Data obtained were statistically analyzed using R software version 4.3.2.Results The trust level in attending physicians among inpatients at tertiary public hospitals in China was found to be 98.37％.Influential factors on this trust level included patient occupation,annual family income,type and region of the hospital and so on.Conclusion Overall,the level of trust in physicians among inpatients at tertiary public hospitals in China is high,though regional differences exist.It should pay attention to non-medical factors such as inpatient ward environment and hospital service quality.Improving these aspects can enhance the overall patient experience,further improve doctor-patient relationships.

Objective It aims to investigate the status quo of nurses'emotional exhaustion in tertiary public hospitals in China and analyze its influencing factors,so as to provide suggestions for formulating targeted policy measures to reduce nurses'emotional exhaustion.Methods Relying on the fifth"The Third-Party Evaluation of the China Healthcare Improvement Initiatives"project,it surveyed nurses from 143 tertiary public hospitals across 31 provinces(including autonomous regions and municipalities)and the Xinjiang Production and Construction Corps.Univariate analyses were performed using the Pearson chi-square test.Multifactorial analyses were performed using ordered multicategorical logistic regression analysis.Results The score of nurses'emotional exhaustion in tertiary public hospitals in China was 8.00(2.00～16.00),of which mild exhaustion accounted for 79.00％,moderate exhaustion accounted for 10.00％,and severe exhaustion accounted for 11.00％.Gender,age,number of children,region,type of hospital,department,employment form,assume scientific research task,excessive workload,salary and hospitals carry out psychological guidance were the influencing factors of nurses'emotional exhaustion.Conclusion Nurses in tertiary public hospitals in China are at a mild level of emotional exhaustion,but in some groups the degree is more serious.Policy makers and hospital managers should focus on special groups,implement the reform of salary system,reduce nurses'workload,reasonably arrange working hours,improve the working environment of hospitals,and strengthen nurses'psychological guidance.

Objective It aims to investigate the current status of patient trust in physicians among inpatients at tertiary public hospitals in China and to analyze the factors influencing this trust.The goal is to provide insights for enhancing patient trust and improving doctor-patient relationships.Methods Relying on the third"third party evaluation of national action to improve medical services"project,it surveyed inpatients from 136 tertiary public hospitals across 31 provinces(including autonomous regions and municipalities)and the Xinjiang Production and Construction Corps.A total of 21 092 inpatient questionnaires were returned.Data obtained were statistically analyzed using R software version 4.3.2.Results The trust level in attending physicians among inpatients at tertiary public hospitals in China was found to be 98.37％.Influential factors on this trust level included patient occupation,annual family income,type and region of the hospital and so on.Conclusion Overall,the level of trust in physicians among inpatients at tertiary public hospitals in China is high,though regional differences exist.It should pay attention to non-medical factors such as inpatient ward environment and hospital service quality.Improving these aspects can enhance the overall patient experience,further improve doctor-patient relationships.

Objective It aims to investigate the status quo of nurses'emotional exhaustion in tertiary public hospitals in China and analyze its influencing factors,so as to provide suggestions for formulating targeted policy measures to reduce nurses'emotional exhaustion.Methods Relying on the fifth"The Third-Party Evaluation of the China Healthcare Improvement Initiatives"project,it surveyed nurses from 143 tertiary public hospitals across 31 provinces(including autonomous regions and municipalities)and the Xinjiang Production and Construction Corps.Univariate analyses were performed using the Pearson chi-square test.Multifactorial analyses were performed using ordered multicategorical logistic regression analysis.Results The score of nurses'emotional exhaustion in tertiary public hospitals in China was 8.00(2.00～16.00),of which mild exhaustion accounted for 79.00％,moderate exhaustion accounted for 10.00％,and severe exhaustion accounted for 11.00％.Gender,age,number of children,region,type of hospital,department,employment form,assume scientific research task,excessive workload,salary and hospitals carry out psychological guidance were the influencing factors of nurses'emotional exhaustion.Conclusion Nurses in tertiary public hospitals in China are at a mild level of emotional exhaustion,but in some groups the degree is more serious.Policy makers and hospital managers should focus on special groups,implement the reform of salary system,reduce nurses'workload,reasonably arrange working hours,improve the working environment of hospitals,and strengthen nurses'psychological guidance.