Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Chenfei Ye"'
Publikováno v:
Health Data Science, Vol 4 (2024)
Importance: Pathological perturbations of the brain often spread via connectome to fundamentally alter functional consequences. By integrating multimodal neuroimaging data with mathematical neural mass modeling, brain network models (BNMs) enable to
Externí odkaz:
https://doaj.org/article/e1b822d811df4f8f960c9bb5e4efce39
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
Externí odkaz:
https://doaj.org/article/548ebf77f6524cbeaf148cba495809d3
Autor:
Xinyuan Zhang, Jie Pan, Yuhao Lin, Gui Fu, Pu Xu, Jiahui Liang, Chenfei Ye, Jie Peng, Xiaofei Lv, Yadi Yang, Yanqiu Feng
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
This longitudinal study explored the changed patterns of structural brain network after radiotherapy (RT) in patients with nasopharyngeal carcinoma (NPC). Diffusion tensor imaging (DTI) data were gathered from 35 patients with NPC at four time points
Externí odkaz:
https://doaj.org/article/e699521ec62c49e4a1cd521daa32fe95
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Whole-brain segmentation from T1-weighted magnetic resonance imaging (MRI) is an essential prerequisite for brain structural analysis, e.g., locating morphometric changes for brain aging analysis. Traditional neuroimaging analysis pipelines are imple
Externí odkaz:
https://doaj.org/article/3afb87f848d74f329403787f0eb0956e
Autor:
Xutao Guo, Chenfei Ye, Yanwu Yang, Li Zhang, Li Liang, Shang Lu, Haiyan Lv, Chunjie Guo, Ting Ma
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Since the ambiguous boundary of the lesion and inter-observer variability, white matter hyperintensity segmentation annotations are inherently noisy and uncertain. On the other hand, the high capacity of deep neural networks (DNN) enables them to ove
Externí odkaz:
https://doaj.org/article/6c35b7e826b94e4ab811a05b5265edda
Autor:
Yiwei Pan, Shuying Liu, Yao Zeng, Chenfei Ye, Hongwen Qiao, Tianbing Song, Haiyan Lv, Piu Chan, Jie Lu, Ting Ma
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Objectives[18F]9-fluoropropyl-(+)-dihydrotetrabenazine ([18F]-FP-DTBZ) positron emission tomography (PET) provides reliable information for the diagnosis of Parkinson’s disease (PD). In this study, we proposed a multi-atlas-based [18F]-FP-DTBZ PET
Externí odkaz:
https://doaj.org/article/db8db5e88db4445e90ee26dacf824049
Autor:
Yanwu Yang, Chenfei Ye, Junyan Sun, Li Liang, Haiyan Lv, Linlin Gao, Jiliang Fang, Ting Ma, Tao Wu
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss , Pp 102715- (2021)
Pinpointing the brain dysconnectivity in idiopathic rapid eye movement sleep behaviour disorder (iRBD) can facilitate preventing the conversion of Parkinson's disease (PD) from prodromal phase. Recent neuroimage investigations reported disruptive bra
Externí odkaz:
https://doaj.org/article/39869332610044048dd96f9edfc57934
Autor:
Chenfei Ye, Marilyn Albert, Timothy Brown, Murat Bilgel, Johnny Hsu, Ting Ma, Brian Caffo, Michael I. Miller, Susumu Mori, Kenichi Oishi
Publikováno v:
Heliyon, Vol 5, Iss 7, Pp e02074- (2019)
Background: An anatomical covariance analysis (ACA) enables to elucidate inter-regional connections on a group basis, but little is known about the connections among white matter structures or among gray and white matter structures. Effect of includi
Externí odkaz:
https://doaj.org/article/6dde39e52d314507861393c000f2105d
Publikováno v:
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
A multivariate analytical strategy may pinpoint the structural connectivity patterns associated with Alzheimer's disease (AD) pathology in connectome-wide association studies. Diffusion magnetic resonance imaging data from 161 participants including
Externí odkaz:
https://doaj.org/article/1286463b897a479ba15869725ba9719c
Autor:
Dan Wu, Marilyn Albert, Anja Soldan, Corinne Pettigrew, Kenichi Oishi, Yusuke Tomogane, Chenfei Ye, Ting Ma, Michael I. Miller, Susumu Mori
Publikováno v:
NeuroImage: Clinical, Vol 22, Iss , Pp - (2019)
The extent and spatial location of white matter hyperintensities (WMH) on brain MRI may be relevant to the development of cognitive decline in older persons. Here, we introduce a new method, known as the Multi-atlas based Detection and Localization (
Externí odkaz:
https://doaj.org/article/389ae5c154bc4ee7aa2e58ce3cef92ac