Results 341 to 350 of about 254,305 (352)
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Presurgical Resting-State fMRI

2014
Purpose: Task-based fMRI has traditionally been used to locate eloquent regions of the brain that are relevant to specific cognitive tasks. These locations have, in turn, been used successfully to inform surgical planning. Resting-state functional MRI (fMRI) uses alternative methods to find networks, but does not require any task performance by a ...
Carl D. Hacker   +5 more
openaire   +2 more sources

Resting-state fMRI in primary Sjögren syndrome

Acta Radiologica, 2018
Background The involvement of the central nervous system in primary Sjögren syndrome (pSS) remains controversial. Functional magnetic resonance imaging (fMRI) is a relatively new method that can be applied to investigate the heterogeneity of central nervous system (CNS) involvement in pSS patients through regional homogeneity (ReHo) analysis.
Xiaoyi Wang   +6 more
openaire   +2 more sources

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   +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   +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   +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   +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

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   +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   +5 more
semanticscholar   +1 more source

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