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149 results on '"Jia, Xize"'

12. Local brain abnormalities in emotional disorders: Evidence from resting state fMRI studies.

Author

Jia, Xize, Li, Mengting, Wang, Chunjie, Antwi, Collins Opoku, Darko, Adjei Peter, Zhang, Baojing, and Ren, Jun

Subjects
*FUNCTIONAL magnetic resonance imaging, *BRAIN abnormalities, *BRAIN research, *POSITIVE psychology, *PSYCHOLOGICAL research
Abstract

Emotional disorders inflict an enormous burden on society. Research on brain abnormalities implicated in emotional disorders has witnessed great progress over the past decades. Using cross‐sectional and longitudinal designs, resting state functional magnetic resonance imaging (rs‐fMRI) and its analytic approaches have been applied to characterize the local properties of patients with emotional disorders. Additionally, brain activity alterations of emotional disorders have shown frequency‐specific. Despite the gains in understanding the roles of brain abnormalities in emotional disorders, the limitation of the small sample size needs to be highlighted. Lastly, we proposed that evidence from the positive psychology research stream presents it as a viable discipline, whose suggestions could be developed in future emotional disorders research. Such interdisciplinary research may produce novel treatments and intervention options. This article is categorized under:Psychology > Brain Function and Dysfunction [ABSTRACT FROM AUTHOR]

Published
2024
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17. Classification of Alzheimer's disease: application of a transfer learning deep Q‐network method.

Author

Ma, Huibin, Wang, Yadan, Hao, Zeqi, Yu, Yang, Jia, Xize, Li, Mengting, and Chen, Lanfen

Subjects
ALZHEIMER'S disease, DEEP learning, FUNCTIONAL magnetic resonance imaging, FEATURE extraction
Abstract

Early diagnosis is crucial to slowing the progression of Alzheimer's disease (AD), so it is urgent to find an effective diagnostic method for AD. This study intended to investigate whether the transfer learning approach of deep Q‐network (DQN) could effectively distinguish AD patients using local metrics of resting‐state functional magnetic resonance imaging (rs‐fMRI) as features. This study included 1310 subjects from the Consortium for Reliability and Reproducibility (CoRR) and 50 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) GO/2. The amplitude of low‐frequency fluctuation (ALFF), fractional ALFF (fALFF) and percent amplitude of fluctuation (PerAF) were extracted as features using the Power 264 atlas. Based on gender bias in AD, we searched for transferable similar parts between the CoRR feature matrix and the ADNI feature matrix, resulting in the CoRR similar feature matrix served as the source domain and the ADNI similar feature matrix served as the target domain. A DQN classifier was pre‐trained in the source domain and transferred to the target domain. Finally, the transferred DQN classifier was used to classify AD and healthy controls (HC). A permutation test was performed. The DQN transfer learning achieved a classification accuracy of 86.66% (p < 0.01), recall of 83.33% and precision of 83.33%. The findings suggested that the transfer learning approach using DQN could be an effective way to distinguish AD from HC. It also revealed the potential value of local brain activity in AD clinical diagnosis. [ABSTRACT FROM AUTHOR]

Published
2024
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18. Grey matter structural alterations in anxiety disorders: a voxel-based meta-analysis

Author

Liu, Han, primary, Hao, Zeqi, additional, Qiu, Shasha, additional, Wang, Qianqian, additional, Zhan, Linlin, additional, Huang, Lina, additional, Shao, Youbin, additional, Wang, Qing, additional, Su, Chang, additional, Cao, Yikang, additional, Sun, Jiawei, additional, Wang, Chunjie, additional, Lv, Yating, additional, Li, Mengting, additional, Shen, Wenbin, additional, Li, Huayun, additional, and Jia, Xize, additional

Published
2023
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20. Frequency specific alterations of the degree centrality in patients with acute basal ganglia ischemic stroke: a resting-state fMRI study

Author

Chen, Hao, primary, Zhan, Linlin, additional, Li, Qianqian, additional, Meng, Chaoguo, additional, Quan, Xuemei, additional, Chen, Xiaoling, additional, Hao, Zeqi, additional, Li, Jing, additional, Gao, Yanyan, additional, Li, Huayun, additional, Jia, Xize, additional, Li, Mengting, additional, and Liang, Zhijian, additional

Published
2023
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23. Regional homogeneity alterations in multifrequency bands in patients with extracranial multi-organ tuberculosis: a prospective cross-sectional study

Author

Wang, Yichuan, primary, Wen, Jianjie, additional, Kong, Chengcheng, additional, Xu, Zexuan, additional, Hu, Su, additional, Li, Mengting, additional, Wang, Xinguang, additional, Zhang, Hongqiang, additional, Jia, Xize, additional, Ding, Qingguo, additional, Wu, Jili, additional, and Hou, Dailun, additional

Published
2023
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28. Regional homogeneity alterations in multifrequency bands in patients with basal ganglia stroke: A resting-state functional magnetic resonance imaging study

Author

Li, Qianqian, primary, Hu, Su, additional, Mo, Yingmin, additional, Chen, Hao, additional, Meng, Chaoguo, additional, Zhan, Linlin, additional, Li, Mengting, additional, Quan, Xuemei, additional, Gao, Yanyan, additional, Cheng, Lulu, additional, Hao, Zeqi, additional, Jia, Xize, additional, and Liang, Zhijian, additional

Published
2022
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29. Amplitude of low-frequency fluctuations in multiple-frequency bands in patients with intracranial tuberculosis: a prospective cross-sectional study

Author

Kong, Chengcheng, primary, Xu, Dong, additional, Wang, Yichuan, additional, Wang, Bing, additional, Wen, Jianjie, additional, Wang, Xinguang, additional, Zhan, Linlin, additional, Sun, Zhaogang, additional, Jia, Xize, additional, Li, Mengting, additional, Tang, Shenjie, additional, and Hou, Dailun, additional

Published
2022
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30. Frequency Specific Alterations of the Degree Centrality in Patients with Acute Basal Ganglia Ischemic Stroke: A Resting-State fMRI Study

Author

Chen, Hao, primary, Zhan, Linlin, additional, Li, Qianqian, additional, Meng, Chaoguo, additional, Quan, Xuemei, additional, Chen, Xiaoling, additional, Hao, Zeqi, additional, Li, Jing, additional, Gao, Yanyan, additional, Li, Huayun, additional, Jia, Xize, additional, Li, Mengting, additional, and Liang, Zhijian, additional

Published
2022
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38. Abnormal amygdala functional connectivity and deep learning classification in multifrequency bands in autism spectrum disorder: A multisite functional magnetic resonance imaging study.

Author

Ma, Huibin, Cao, Yikang, Li, Mengting, Zhan, Linlin, Xie, Zhou, Huang, Lina, Gao, Yanyan, and Jia, Xize

Subjects
ARTIFICIAL neural networks, FUNCTIONAL magnetic resonance imaging, AUTISM spectrum disorders, DEEP learning, FUNCTIONAL connectivity
Abstract

Previous studies have explored resting‐state functional connectivity (rs‐FC) of the amygdala in patients with autism spectrum disorder (ASD). However, it remains unclear whether there are frequency‐specific FC alterations of the amygdala in ASD and whether FC in specific frequency bands can be used to distinguish patients with ASD from typical controls (TCs). Data from 306 patients with ASD and 314 age‐matched and sex‐matched TCs were collected from 28 sites in the Autism Brain Imaging Data Exchange database. The bilateral amygdala, defined as the seed regions, was used to perform seed‐based FC analyses in the conventional, slow‐5, and slow‐4 frequency bands at each site. Image‐based meta‐analyses were used to obtain consistent brain regions across 28 sites in the three frequency bands. By combining generative adversarial networks and deep neural networks, a deep learning approach was applied to distinguish patients with ASD from TCs. The meta‐analysis results showed frequency band specificity of FC in ASD, which was reflected in the slow‐5 frequency band instead of the conventional and slow‐4 frequency bands. The deep learning results showed that, compared with the conventional and slow‐4 frequency bands, the slow‐5 frequency band exhibited a higher accuracy of 74.73%, precision of 74.58%, recall of 75.05%, and area under the curve of 0.811 to distinguish patients with ASD from TCs. These findings may help us to understand the pathological mechanisms of ASD and provide preliminary guidance for the clinical diagnosis of ASD. [ABSTRACT FROM AUTHOR]

Published
2023
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40. Amplitude of low-frequency fluctuation (ALFF) alterations in adults with subthreshold depression after physical exercise: A resting-state fMRI study

Author

Huang, Lina, primary, Huang, Guofeng, additional, Ding, Qingguo, additional, Liang, Pei, additional, Hu, Chunhong, additional, Zhang, Hongqiang, additional, Zhan, Linlin, additional, Wang, Qianqian, additional, Cao, Yikang, additional, Zhang, Jun, additional, Shen, Wenbin, additional, Jia, Xize, additional, and Xing, Wei, additional

Published
2021
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43. Altered Temporal Dynamics of Brain Activity in Multiple-Frequency Bands in Non-Neuropsychiatric Systemic Lupus Erythematosus Patients with Inactive Disease

Author

Chen,Liheng, Sun,Jiawei, Wang,Qiaohong, Hu,Lingzhen, Zhang,Yi, Ma,Huibin, Jia,Xize, Yang,Xuyan, Chen,Liheng, Sun,Jiawei, Wang,Qiaohong, Hu,Lingzhen, Zhang,Yi, Ma,Huibin, Jia,Xize, and Yang,Xuyan

Abstract

Liheng Chen,1 Jiawei Sun,2,3 Qiaohong Wang,1 Lingzhen Hu,1 Yi Zhang,1 Huibin Ma,2,3 Xize Jia,4,5 Xuyan Yang1 1Department of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, People’s Republic of China; 2School of Information and Electronics Technology, Jiamusi University, Jiamusi, People’s Republic of China; 3Integrated Medical Research School, Jiamusi University, Jiamusi, People’s Republic of China; 4Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, People’s Republic of China; 5Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, People’s Republic of ChinaCorrespondence: Xize JiaInstitute of Psychological Sciences, Hangzhou Normal University, Hangzhou, People’s Republic of ChinaEmail jiaxize@hznu.edu.cnXuyan YangDepartment of Rheumatology, Second Affiliated Hospital, College of Medicine, Zhejiang University, 88 Jiefang Road, Hangzhou, 310009, People’s Republic of ChinaEmail hangzhouyxy@zju.edu.cnPurpose: In this study, we seek to investigate dynamic changes of brain activity in non-neuropsychiatric systemic lupus erythematosus (non-NPSLE) patients with inactive disease.Patients and Methods: Thirty-one non-NPSLE patients with inactive disease and 20 matched healthy controls underwent the blood oxygenation level-dependent fMRI examination. Dynamic regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) were used to analyze the brain activity in typical band (0.01– 0.08 Hz), slow-4 (0.027– 0.073 Hz) and slow-5 (0.01– 0.027 Hz). Pearson’s correlation analysis was performed to correlate dynamic regional homogeneity (dReHo) and dynamic fractional amplitude of low-frequency fluctuations (dfALFF) values for clusters of voxels where significant group differences were found with clinical variables in non-NPSLE patients wi

Published
2021

46. The low-frequency BOLD signal oscillation response in the insular associated to immediate analgesia of ankle acupuncture in patients with chronic low back pain

Author

Xiang,Anfeng, Yu,Yang, Jia,Xize, Ma,Huibing, Liu,Hui, Zhang,Yu, Rong,Jun, Liu,Sheng, Xiang,Anfeng, Yu,Yang, Jia,Xize, Ma,Huibing, Liu,Hui, Zhang,Yu, Rong,Jun, and Liu,Sheng

Abstract

Anfeng Xiang,1,* Yang Yu,2,* Xize Jia,3,4 Huibin Ma,5,6 Hui Liu,1 Yu Zhang,1 Jun Rong,7,* Sheng Liu1,* 1School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China; 2Department of Psychiatry, the Second Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China; 3Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Zhejiang, China; 4Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Zhejiang, China; 5School of Information and Electronics Technology, Jiamusi University, Heilongjiang, China; 6Integrated Medical Research School, Jiamusi University, Heilongjiang, China; 7Department of Sports Rehabilitation, Hangzhou Red Cross Hospital, Zhejiang, China *These authors contributed equally to this work Purpose: The present study evaluated the modulation effect of a painless acupuncture technique, ankle acupuncture (AA), on resting-state functional change in patients with chronic low back pain (CLBP). Patients and methods: Fourteen participants diagnosed with CLBP received AA and underwent one brain functional image scan after tactile stimulation and another one following the insertion of the needle. The needling sensations and clinical pain intensities were evaluated after the end of each functional image scan. The significance levels of Visual Analog Scales/Scores (VASs) before and after acupuncture were determined using paired t-test. The brain areas showing differences in the amplitude of low-frequency fluctuation (ALFF) and fractional ALFF (fALFF) between the two scans were identified. We also explored the relationship between mean ALFF values in brain areas identified and VAS scores based on Pearson correlation coefficient. Results: A complete-case analysis was performed on 12 participants. Neither different needling sensations nor any local sensations during the two scans was found. The clinical findings indicated t

Published
2019

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