Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Weipeng Jin"'
Autor:
Kun Deng, Weipeng Jin, Keying Jiang, Zixi Li, Hohjin Im, Shuning Chen, Hanxiao Du, Shunping Guan, Wei Ge, Chuqiao Wei, Bin Zhang, Pinchun Wang, Guang Zhao, Chunhui Chen, Liqing Liu, Qiang Wang
Publikováno v:
Behavioral and Brain Functions, Vol 19, Iss 1, Pp 1-14 (2023)
Abstract This study explored whether amygdala reactivity predicted the greed personality trait (GPT) using both task-based and resting-state functional connectivity analyses (ntotal = 452). In Cohort 1 (n = 83), task-based functional magnetic resonan
Externí odkaz:
https://doaj.org/article/4414b209a8364672909115ad381da0fa
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2357-2371 (2024)
Abstract Lesion segmentation is a fundamental task in medical image processing, often facing the challenge of subtle lesions. It is important to detect these lesions, even though they can be difficult to identify. Convolutional neural networks, an ef
Externí odkaz:
https://doaj.org/article/189413db5c0f491ba44c1155a981deef
Autor:
Yulin Sun, Weipeng Jin, Xiaopeng Si, Xingjian Zhang, Jiale Cao, Le Wang, Shaoya Yin, Dong Ming
Publikováno v:
IEEE journal of biomedical and health informatics. 26(11)
Automatic seizure detection algorithms are necessary for patients with refractory epilepsy. Many excellent algorithms have achieved good results in seizure detection. Still, most of them are based on discontinuous intracranial electroencephalogram (i
Autor:
Shiyu Wei, Weipeng Jin, Wenwei Zhu, Shuning Chen, Jie Feng, Pinchun Wang, Hohjin Im, Kun Deng, Bin Zhang, Manman Zhang, Shaofeng Yang, Maomiao Peng, Qiang Wang
Publikováno v:
Social cognitive and affective neuroscience.
Greed personality trait (GPT), characterized by the desire to acquire more and the dissatisfaction of never having enough, has been hypothesized to link with negative emotion/affect characteristics and aggressive behaviors. To describe its emotion-re
Autor:
Xiaopeng Si, Zhuobin Yang, Xingjian Zhang, Yulin Sun, Weipeng Jin, Le Wang, Shaoya Yin, Dong Ming
Publikováno v:
Journal of Neural Engineering. 20:016037
Objective. Patient-dependent seizure detection based on intracranial electroencephalography (iEEG) has made significant progress. However, due to the difference in the locations and number of iEEG electrodes used for each patient, patient-independent
Autor:
Weipeng Jin, null Jie Feng, null Wenwei Zhu, null Bin Zhang, Shuning Chen, Shiyu Wei, Pinchun Wang, Kun Deng, Yajie Wang, Manman Zhang, Shaofeng Yang, Hohjin Im, Qiang Wang
Positive affect (PA) is not only associated with individuals’ psychological and physical health, but also their cognitive processes. However, whether medial temporal lobe (MTL) and its subfields’ volume/functional connectivity can explain individ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4e32e6ba00c28e73d4886b90a3969fc
https://doi.org/10.21203/rs.3.rs-1389084/v1
https://doi.org/10.21203/rs.3.rs-1389084/v1
Autor:
Le Wang, Weipeng Jin, Yan Zhang, Shimin Wang, Qingyun Li, Jie Qin, Zhitao Li, Yifeng Cheng, Keke Feng, Shaoya Yin
Publikováno v:
Ann Transl Med
BACKGROUND: Stereoelectroencephalography (SEEG) has become a common diagnostic method in epilepsy surgery and is found to be safe for a wide range of clinical applications. SEEG combined with radiofrequency thermocoagulation (RF-TC) not only reveals
Background: Traumatic brain injury (TBI) always lead to inflammatory responses unregulated characterized by excessive leukocytes infiltration, microglia activation and neuronal apoptosis. Metformin, recognized as an activator of AMPK, had been report
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80e9499bddfd3a3fb6b3561f27543336
https://doi.org/10.21203/rs.3.rs-898507/v1
https://doi.org/10.21203/rs.3.rs-898507/v1
Autor:
Qiang Li, Weipeng Jin, Shaoya Yin, Yulin Sun, Dong Ming, Zhou Yu, Xiaopeng Si, Yi-Ping Chao, Siew-Na Lim, Xin Zhao, Zhang Xingjian
Publikováno v:
Journal of neural engineering. 18(5)
Objective: By detecting the abnormal white matter changes, diffusion magnetic resonance imaging (MRI) contributes to the detection of juvenile myoclonic epilepsy (JME). In addition, deep learning has greatly improved the detection performance of vari
Autor:
Zhang Xingjian, Shaoya Yin, Xiaopeng Si, Dong Ming, Xin Zhao, Zhou Yu, Yulin Sun, Qiang Li, Weipeng Jin
Publikováno v:
EMBC
Epilepsy is one of the largest neurological diseases in the world, and juvenile myoclonic epilepsy (JME) usually occurs in adolescents, giving patients tremendous burdens during growth, which really needs the early diagnosis. Advanced diffusion magne