Results 351 to 360 of about 258,796 (362)

Changes in resting-state fMRI in vestibular neuritis

Brain Structure and Function, 2013
Vestibular neuritis (VN) is a sudden peripheral unilateral vestibular failure with often persistent head movement-related dizziness and unsteadiness. Compensation of asymmetrical activity in the primary peripheral vestibular afferents is accomplished by restoration of impaired brainstem vestibulo-ocular and vestibulo-spinal reflexes, but presumably ...
Thomas F. Münte, Andreas Sprenger, Christoph Helmchen, Zheng Ye   +3 more
openaire   +3 more sources

The migraineur’s brain networks: Continuous resting state fMRI over 30 days

Cephalalgia, 2020
Objective The aim of the current study was to identify typical alterations in resting state connectivity within different stages of the migraine cycle and to thus explore task-free mechanisms of headache attack generation in migraineurs.
L. Schulte, Mareike M. Menz, J. Haaker, A. May   +3 more
semanticscholar   +1 more source

Research progress on resting state fMRI of epilepsy

Brain and Development, 2012
As a study method of resting state network (RSN), resting state functional MRI (rfMRI) can be applied to detect low frequency fluctuate (LFF) in various cerebral areas based on resting state blood oxygen level dependence (BOLD) signals; and it is easier and more consistent than task-related fMRI.
Pei-Yi Gao, Jian-Ping Dai, Peng-Fei Qiao, Peng-Fei Qiao, Guang-Ming Niu   +4 more
openaire   +3 more sources

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

Brain Research Bulletin, 2021
Zhen-zhen 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

Resting-State fMRI: Preclinical Foundations

2020
This chapter introduces a neuroimaging approach that has become popular among scientists over the last decade and that now is starting to attain clinical uses. The technique is called resting-state functional connectivity (RSFC), and it typically utilizes functional magnetic resonance imaging (fMRI) scans collected from subjects at rest (i.e., doing ...
openaire   +2 more sources

The Electrophysiology of Resting State fMRI Networks

2017
Traditional research in neuroscience has studied the topography of specific brain functions largely by presenting stimuli or imposing tasks and measuring evoked brain activity. This paradigm has dominated neuroscience for 50 years. Recently, investigations of brain activity in the resting state, most frequently using functional magnetic resonance ...
openaire   +3 more sources

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

Origins of the Resting-State fMRI Signal

2020
Shella D. Keilholz, Garth John Thompson, Jean Chen, Peter Herman   +3 more
openaire   +2 more sources

3D-CNN based discrimination of schizophrenia using resting-state fMRI

Artif. Intell. Medicine, 2019
Muhammad Naveed Iqbal Qureshi, Jooyoung Oh, Boreom Lee   +2 more
semanticscholar   +1 more source