Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Joyce Chelangat Bore"'
Autor:
Joyce Chelangat Bore, Brett A Campbell, Hanbin Cho, Francesco Pucci, Raghavan Gopalakrishnan, Andre G Machado, Kenneth B Baker
Publikováno v:
Brain Stimulation, Vol 15, Iss 3, Pp 598-600 (2022)
Externí odkaz:
https://doaj.org/article/8b8f6af20b274670ad492ac89aec3af0
Autor:
Joyce Chelangat Bore, Carmen Toth, Brett A. Campbell, Hanbin Cho, Francesco Pucci, Olivia Hogue, Andre G. Machado, Kenneth B. Baker
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Parkinson’s disease is a neurological disease with cardinal motor signs including bradykinesia and tremor. Although beta-band hypersynchrony in the cortico-basal ganglia network is thought to contribute to disease manifestation, the resulting effec
Externí odkaz:
https://doaj.org/article/c0d42dc230de4cbb891fb8d4c10e7a12
Publikováno v:
IEEE Access, Vol 7, Pp 40959-40968 (2019)
The conventional autoregressive (AR) model has been widely applied in the various electroencephalogram (EEG) analyses such as spectrum estimation, waveform fittings, and in classification tasks. Nevertheless, evoked EEG is usually inevitably contamin
Externí odkaz:
https://doaj.org/article/77917e0272d8413bb2d5f0d4378a0c10
Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy
Autor:
Dennis Joe Harmah, Cunbo Li, Fali Li, Yuanyuan Liao, Jiuju Wang, Walid M. A. Ayedh, Joyce Chelangat Bore, Dezhong Yao, Wentian Dong, Peng Xu
Publikováno v:
Frontiers in Computational Neuroscience, Vol 13 (2020)
People living with schizophrenia (SCZ) experience severe brain network deterioration. The brain is constantly fizzling with non-linear causal activities measured by electroencephalogram (EEG) and despite the variety of effective connectivity methods,
Externí odkaz:
https://doaj.org/article/16cc3f18de1e4e52b2fa6fccb1f0f3f5
Autor:
Changfu Pei, Li Lin, Peng Xu, Tao Zhang, Xudong Hu, Fali Li, Dezhong Yao, Keyi Duan, Yajing Si, Yuanyuan Liao, Qian Wu, Wei Lei, Lin Huang, Joyce Chelangat Bore, Qin Tao
Publikováno v:
Brain Topography. 34:78-87
Tourette syndrome (TS) is a neuropsychiatric disorder with childhood onset characterized by chronic motor and vocal tics; however, the current diagnosis of TS patients is subjective, as it is mainly assessed based on the parents' description alongsid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ea0b940e3b15adf3db186a4572fba18
https://doi.org/10.1007/s10548-020-00801-5
https://doi.org/10.1007/s10548-020-00801-5
Publikováno v:
Neural Networks. 124:213-222
The conventional multivariate Granger Analysis (GA) of directed interactions has been widely applied in brain network construction based on EEG recordings as well as fMRI. Nevertheless, EEG is usually inevitably contaminated by strong noise, which ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0782584fb3bcc533837a1af18f031d69
https://doi.org/10.1016/j.neunet.2020.01.022
https://doi.org/10.1016/j.neunet.2020.01.022
Autor:
Peiyang Li, Cunbo Li, Joyce Chelangat Bore, Yajing Si, Fali Li, Zehong Cao, Yangsong Zhang, Gang Wang, Zhijun Zhang, Dezhong Yao, Peng Xu
Objective . Electroencephalogram (EEG)-based motor imagery (MI) brain-computer interface offers a promising way to improve the efficiency of motor rehabilitation and motor skill learning. In recent years, the power of dynamic network analysis for MI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70893a87db27c72ba0d6543935ad85d3
https://hdl.handle.net/11541.2/27760
https://hdl.handle.net/11541.2/27760
Autor:
Xiaohui Gao, Weijie Huang, Yize Liu, Yinuo Zhang, Jiamin Zhang, Cunbo Li, Joyce Chelangat Bore, Zhenyu Wang, Yajing Si, Yin Tian, Peiyang Li
Publikováno v:
Biomedical Signal Processing and Control. 80:104321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c55d069e97b7449860e189188eeef0c1
https://doi.org/10.1016/j.bspc.2022.104321
https://doi.org/10.1016/j.bspc.2022.104321
Autor:
Lin Jiang, Peng Xu, Chunli Chen, Dezhong Yao, Walid Mohammed Ahmed Ayedh, Peiyang Li, Joyce Chelangat Bore, Zehong Cao, Dennis Joe Harmah
EEG inverse problem is underdetermined, which poses a long standing challenge in Neuroimaging. The combination of source-imaging and analysis of cortical directional networks enables us to noninvasively explore the underlying neural processes. Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a389a1004ed8431fb8b36517ed12a266
https://hdl.handle.net/10453/154800
https://hdl.handle.net/10453/154800
Autor:
Chanlin Yi, Joyce Chelangat Bore, Daqing Guo, Peng Xu, Feng Wan, Dennis Joe Harmah, Yajing Si, Peiyang Li, Dezhong Yao, Fali Li
Publikováno v:
IEEE Transactions on Biomedical Engineering. 66:1927-1939
Objective: The electroencephalographic (EEG) inverse problem is ill-posed owing to the electromagnetism Helmholtz theorem and since there are fewer observations than the unknown variables. Apart from the strong background activities (ongoing EEG), ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bb00f3ebd2e58e7727b9054ce90957e
https://doi.org/10.1109/tbme.2018.2881092
https://doi.org/10.1109/tbme.2018.2881092