Results 281 to 290 of about 249,333 (304)

Tracking whole-brain connectivity dynamics in the resting-state fMRI with post-facial paralysis synkinesis.

Brain Research Bulletin, 2021
BACKGROUND Resting-state functional magnetic resonance imaging (rs-fMRI) is widely applied to explore abnormal functional connectivity (FC) in patients with post-facial paralysis synkinesis (PFPS). However, most studies considered steady spatial-temporal
Zhenzhen Ma, Jia‐Jia Wu, Xu-Yun Hua, Mouxiong Zheng, Xiang-Xin Xing, Si-si Li, Chunlei Shan, Wei Ding, Jianguang Xu   +8 more
semanticscholar   +1 more source

Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data

IEEE Transactions on Neural Networks and Learning Systems, 2023
Neuroimaging techniques have been widely adopted to detect the neurological brain structures and functions of the nervous system. As an effective noninvasive neuroimaging technique, functional magnetic resonance imaging (fMRI) has been extensively used ...
Rui Liu, Zhi-an Huang, Yao Hu, Zexuan Zhu, Ka-chun Wong, K. Tan   +5 more
semanticscholar   +1 more source

Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI

Medical Image Anal., 2021
Brain functional connectivity (FC) derived from resting-state functional magnetic resonance imaging (rs-fMRI) has been widely employed to study neuropsychiatric disorders such as autism spectrum disorder (ASD).
Nan Wang, Dongren Yao, Lizhuang Ma, Mingxia Liu   +3 more
semanticscholar   +1 more source

Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning

Comput. Biol. Medicine, 2022
Abdulaziz Alorf, Muhammad Usman Ghani Khan   +1 more
semanticscholar   +1 more source

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks

Journal of medical systems, 2019
Farheen Ramzan, Muhammad Usman Ghani Khan, Muhammad Asim Rehmat, S. Iqbal, T. Saba, A. Rehman, Zahid Mehmood   +6 more
semanticscholar   +1 more source

3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI

Neuroinformatics, 2019
N. Duc, Seungjun Ryu, Muhammad Naveed Iqbal Qureshi, Min Choi, K. Lee, Boreom Lee   +5 more
semanticscholar   +1 more source

Resting state fMRI: A personal history

NeuroImage, 2012
Bharat B Biswal
exaly