Results 341 to 350 of about 258,796 (362)
Some of the next articles are maybe not open access.
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 +5 more
semanticscholar +1 more source
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 +5 more
semanticscholar +1 more source
Deep learning in resting-state fMRI
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Modeling the rich, dynamic spatiotemporal variations captured by human brain functional magnetic resonance imaging (fMRI) data is a complicated task. Analysis at the brain's regional and connection levels provides more straightforward biological interpretation for fMRI data and has been instrumental in characterizing the brain thus far.
Anees, Abrol +3 more
openaire +2 more sources
Current Protocols in Neuroscience, 2018
AbstractResting state functional MRI (fMRI) and functional connectivity are widely applied in humans to examine the role of brain networks in normal function and dysfunction. A similar approach can be taken in rodents, either to obtain translational measures in models of brain disorders or to more carefully examine the neurophysiological underpinnings ...
Jacob Billings +4 more
openaire +3 more sources
AbstractResting state functional MRI (fMRI) and functional connectivity are widely applied in humans to examine the role of brain networks in normal function and dysfunction. A similar approach can be taken in rodents, either to obtain translational measures in models of brain disorders or to more carefully examine the neurophysiological underpinnings ...
Jacob Billings +4 more
openaire +3 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
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 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