1.Activation patterns and mechanism in the prefrontal cortex of post-stroke anxiety patients: a study using functional near-infrared spectroscopy
Ling YANG ; Qinglei WANG ; Jie WANG ; Wenjie XU ; Tong WANG ; Chuan GUO ; Xue QIAN
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):329-336
ObjectiveTo observe the activation patterns and functional connectivity in the prefrontal cortex of patients with post-stroke anxiety (PSA) using functional near-infrared spectroscopy, in order to explore the underlying neural mechanism. MethodsFrom December, 2024 to September, 2025, 120 stroke patients were selected in Changzhou De'an Hospital. They were divided into PSA group (n = 60) and non-PSA group (n = 60) according to the score of Hamilton Anxiety Scale (HAMA). All patients wore an 18-channel fNIRS acquisition cap for detection. The differences in resting-state functional connectivity between the frontopolar cortex (FPC) and dorsolateral prefrontal cortex (DLPFC) were examined in both groups, as well as task-related activation in these brain regions. ResultsResting-state functional connectivity analysis revealed no statistically significant difference in network connectivity between two groups in the FPC and DLPFC regions (|t| < 1.301, P > 0.05). Task-related activation results revealed significantly reduced activation in the contralateral FPC of PSA group compared to the non-PSA group (Z = -2.063, P < 0.05). Activation levels in this region showed a negative correlation with the scores of HAMA (ρ = -0.201, P = 0.028). ConclusionActivation decreased in the contralateral frontal pole during the task state for patients with PSA, and the activation levels negatively correlates with anxiety severities.
2.Activation patterns and mechanism in the prefrontal cortex of post-stroke anxiety patients: a study using functional near-infrared spectroscopy
Ling YANG ; Qinglei WANG ; Jie WANG ; Wenjie XU ; Tong WANG ; Chuan GUO ; Xue QIAN
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):329-336
ObjectiveTo observe the activation patterns and functional connectivity in the prefrontal cortex of patients with post-stroke anxiety (PSA) using functional near-infrared spectroscopy, in order to explore the underlying neural mechanism. MethodsFrom December, 2024 to September, 2025, 120 stroke patients were selected in Changzhou De'an Hospital. They were divided into PSA group (n = 60) and non-PSA group (n = 60) according to the score of Hamilton Anxiety Scale (HAMA). All patients wore an 18-channel fNIRS acquisition cap for detection. The differences in resting-state functional connectivity between the frontopolar cortex (FPC) and dorsolateral prefrontal cortex (DLPFC) were examined in both groups, as well as task-related activation in these brain regions. ResultsResting-state functional connectivity analysis revealed no statistically significant difference in network connectivity between two groups in the FPC and DLPFC regions (|t| < 1.301, P > 0.05). Task-related activation results revealed significantly reduced activation in the contralateral FPC of PSA group compared to the non-PSA group (Z = -2.063, P < 0.05). Activation levels in this region showed a negative correlation with the scores of HAMA (ρ = -0.201, P = 0.028). ConclusionActivation decreased in the contralateral frontal pole during the task state for patients with PSA, and the activation levels negatively correlates with anxiety severities.
3.Activation patterns and mechanism in the prefrontal cortex of post-stroke anxiety patients: a study using functional near-infrared spectroscopy
Ling YANG ; Qinglei WANG ; Jie WANG ; Wenjie XU ; Tong WANG ; Chuan GUO ; Xue QIAN
Chinese Journal of Rehabilitation Theory and Practice 2026;32(3):329-336
ObjectiveTo observe the activation patterns and functional connectivity in the prefrontal cortex of patients with post-stroke anxiety (PSA) using functional near-infrared spectroscopy, in order to explore the underlying neural mechanism. MethodsFrom December, 2024 to September, 2025, 120 stroke patients were selected in Changzhou De'an Hospital. They were divided into PSA group (n = 60) and non-PSA group (n = 60) according to the score of Hamilton Anxiety Scale (HAMA). All patients wore an 18-channel fNIRS acquisition cap for detection. The differences in resting-state functional connectivity between the frontopolar cortex (FPC) and dorsolateral prefrontal cortex (DLPFC) were examined in both groups, as well as task-related activation in these brain regions. ResultsResting-state functional connectivity analysis revealed no statistically significant difference in network connectivity between two groups in the FPC and DLPFC regions (|t| < 1.301, P > 0.05). Task-related activation results revealed significantly reduced activation in the contralateral FPC of PSA group compared to the non-PSA group (Z = -2.063, P < 0.05). Activation levels in this region showed a negative correlation with the scores of HAMA (ρ = -0.201, P = 0.028). ConclusionActivation decreased in the contralateral frontal pole during the task state for patients with PSA, and the activation levels negatively correlates with anxiety severities.
4.Design, synthesis and evaluation of oxadiazoles as novel XO inhibitors
Hong-zhan WANG ; Ya-jun YANG ; Ying YANG ; Fei YE ; Jin-ying TIAN ; Chuan-ming ZHANG ; Zhi-yan XIAO
Acta Pharmaceutica Sinica 2025;60(1):164-171
Xanthine oxidase (XO) is an important therapeutic target for the treatment of hyperuricemia and gout. Based on the previously identified potent XO inhibitor
5.Frontal and Parietal Alpha Asymmetry as Biomarkers for Negative Symptoms in Schizophrenia
Yao-Cheng WU ; Chih-Chung HUANG ; Yi-Guang WANG ; Chu-Ya YANG ; Wei-Chou CHANG ; Chuan-Chia CHANG ; Hsin-An CHANG
Psychiatry Investigation 2025;22(4):435-441
Objective:
Negative symptoms in schizophrenia indicate a poor prognosis. However, the mechanisms underlying the development of negative symptoms remain unclear. This study investigated the relationship between negative symptoms in schizophrenia and frontal alpha asymmetry (FAA).
Methods:
The study used a 32-channel electroencephalography to acquire alpha power in 4 target-paired sites in each patient. Regional alpha asymmetry was calculated based on the alpha power using EEGLAB Frontal Alpha Asymmetry Toolbox.
Results:
Sixty schizophrenia patients with predominant negative symptoms (PNS), 72 stabilized schizophrenia (SS) patients, and 73 healthy control (HC) participants were enrolled in this study. No significant differences were observed in FAA between the PNS and SS groups, although both groups exhibited reduced P3-P4 alpha asymmetry compared to HCs. A positive correlation was found between F7-F8 alpha asymmetry and illness duration. Additionally, a predictive model based on P3-P4 alpha asymmetry scores was able to differentiate schizophrenia patients from HCs, achieving a sensitivity of 71.2% and a specificity of 72.6%.
Conclusion
This study highlighted that parietal alpha asymmetry could serve as a valuable diagnostic tool for schizophrenia.
6.Intelligent handheld ultrasound improving the ability of non-expert general practitioners in carotid examinations for community populations: a prospective and parallel controlled trial
Pei SUN ; Hong HAN ; Yi-Kang SUN ; Xi WANG ; Xiao-Chuan LIU ; Bo-Yang ZHOU ; Li-Fan WANG ; Ya-Qin ZHANG ; Zhi-Gang PAN ; Bei-Jian HUANG ; Hui-Xiong XU ; Chong-Ke ZHAO
Ultrasonography 2025;44(2):112-123
Purpose:
The aim of this study was to investigate the feasibility of an intelligent handheld ultrasound (US) device for assisting non-expert general practitioners (GPs) in detecting carotid plaques (CPs) in community populations.
Methods:
This prospective parallel controlled trial recruited 111 consecutive community residents. All of them underwent examinations by non-expert GPs and specialist doctors using handheld US devices (setting A, setting B, and setting C). The results of setting C with specialist doctors were considered the gold standard. Carotid intima-media thickness (CIMT) and the features of CPs were measured and recorded. The diagnostic performance of GPs in distinguishing CPs was evaluated using a receiver operating characteristic curve. Inter-observer agreement was compared using the intragroup correlation coefficient (ICC). Questionnaires were completed to evaluate clinical benefits.
Results:
Among the 111 community residents, 80, 96, and 112 CPs were detected in settings A, B, and C, respectively. Setting B exhibited better diagnostic performance than setting A for detecting CPs (area under the curve, 0.856 vs. 0.749; P<0.01). Setting B had better consistency with setting C than setting A in CIMT measurement and the assessment of CPs (ICC, 0.731 to 0.923). Moreover, measurements in setting B required less time than the other two settings (44.59 seconds vs. 108.87 seconds vs. 126.13 seconds, both P<0.01).
Conclusion
Using an intelligent handheld US device, GPs can perform CP screening and achieve a diagnostic capability comparable to that of specialist doctors.
7.Correspondence to editorial on “Carvedilol to prevent hepatic decompensation of cirrhosis in patients with clinically significant portal hypertension stratified by new non-invasive model (CHESS2306)”
Chuan LIU ; Ling YANG ; Hong YOU ; Gao-Jun TENG ; Xiaolong QI
Clinical and Molecular Hepatology 2025;31(2):e155-e157
8.Assessment of genetic associations between antidepressant drug targets and various stroke subtypes: A Mendelian randomization approach.
Luyang ZHANG ; Yunhui CHU ; Man CHEN ; Yue TANG ; Xiaowei PANG ; Luoqi ZHOU ; Sheng YANG ; Minghao DONG ; Jun XIAO ; Ke SHANG ; Gang DENG ; Wei WANG ; Chuan QIN ; Daishi TIAN
Chinese Medical Journal 2025;138(4):487-489
9.Cellular differential impact of the Rap1 on atherosclerosis.
Shan-Shan SONG ; Hui-Ru YANG ; Xiao-Li YI ; Jun YU ; Chuan-Ming XU
Acta Physiologica Sinica 2025;77(3):483-492
Cardiovascular diseases are the leading cause of mortality, posing a significant threat to human health due to the high incidence rate. Atherosclerosis, a chronic inflammatory disease, serves as the primary pathological basis for most such conditions. The incidence of atherosclerosis continues to rise, but its pathogenesis has not been fully elucidated. As an important member of the small GTPase superfamily, Ras-association proximate 1 (Rap1) is an important molecular switch involved in the regulation of multiple physiological functions including cell differentiation, proliferation, and adhesion. Rap1 achieves the utility of the molecular switch by cycling between Rap1-GTP and Rap1-GDP. Rap1 may influence the occurrence and development of atherosclerosis in a cell-specific manner. This article summarizes the potential role and mechanism of Rap1 in the progression of atherosclerosis in different cells, aiming to provide new therapeutic targets and strategies for clinical intervention.
Humans
;
Atherosclerosis/metabolism*
;
rap1 GTP-Binding Proteins/physiology*
;
Animals
;
Cell Differentiation
;
Cell Adhesion
;
Cell Proliferation
10.Frontal and Parietal Alpha Asymmetry as Biomarkers for Negative Symptoms in Schizophrenia
Yao-Cheng WU ; Chih-Chung HUANG ; Yi-Guang WANG ; Chu-Ya YANG ; Wei-Chou CHANG ; Chuan-Chia CHANG ; Hsin-An CHANG
Psychiatry Investigation 2025;22(4):435-441
Objective:
Negative symptoms in schizophrenia indicate a poor prognosis. However, the mechanisms underlying the development of negative symptoms remain unclear. This study investigated the relationship between negative symptoms in schizophrenia and frontal alpha asymmetry (FAA).
Methods:
The study used a 32-channel electroencephalography to acquire alpha power in 4 target-paired sites in each patient. Regional alpha asymmetry was calculated based on the alpha power using EEGLAB Frontal Alpha Asymmetry Toolbox.
Results:
Sixty schizophrenia patients with predominant negative symptoms (PNS), 72 stabilized schizophrenia (SS) patients, and 73 healthy control (HC) participants were enrolled in this study. No significant differences were observed in FAA between the PNS and SS groups, although both groups exhibited reduced P3-P4 alpha asymmetry compared to HCs. A positive correlation was found between F7-F8 alpha asymmetry and illness duration. Additionally, a predictive model based on P3-P4 alpha asymmetry scores was able to differentiate schizophrenia patients from HCs, achieving a sensitivity of 71.2% and a specificity of 72.6%.
Conclusion
This study highlighted that parietal alpha asymmetry could serve as a valuable diagnostic tool for schizophrenia.

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