Results 221 to 230 of about 116,293 (248)
Some of the next articles are maybe not open access.
Presurgical Resting-State fMRI
2014Purpose: 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 Multiple Sclerosis
2020In multiple sclerosis (MS), improvements of structural magnetic resonance imaging (MRI) techniques have offered the possibility to identify and grade the extent of central nervous system (CNS) damage at different stages of the disease, contributing to improve the understanding of the mechanisms responsible for the accumulation of irreversible ...
Rocca, Maria A. +2 more
openaire +2 more sources
Resting-state fMRI in primary Sjögren syndrome
Acta Radiologica, 2018Background 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, 2013Vestibular 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
Research progress on resting state fMRI of epilepsy
Brain and Development, 2012As 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
Resting-State fMRI: Preclinical Foundations
2020This 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
2017Traditional 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
Atlas-Based Labeling of Resting-State fMRI
Brain ConnectivityBackground: Functional magnetic resonance imaging (fMRI) has the potential to provide noninvasive functional mapping of the brain with high spatial and temporal resolution. However, fMRI independent components (ICs) must be manually inspected, selected, and interpreted, requiring time and expertise. We propose a novel approach for automated labeling of
Hrishikesh Kambli +6 more
openaire +2 more sources
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis
Medical Image Analysis, 2021Xiaoxiao Li, Nicha Dvornek, Muhan Zhang
exaly
Neurophysiological investigation of the basis of the fMRI signal
Nature, 2001Nikos K Logothetis
exaly