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Deep learning in resting-state fMRI

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Modeling 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
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Resting State fMRI in Rodents

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 ...
Wen-Ju, Pan   +4 more
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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 ...
Monica G. Allen   +5 more
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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.
Wu, Xing   +6 more
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Atlas-Based Labeling of Resting-State fMRI

Brain Connectivity
Background: 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
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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   +1 more source

Spatio-Functional Parcellation of Resting State fMRI

2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Resting state functional Magnetic Resonance Imaging (rs-fMRI) is used to obtain spontaneous activation within the human brain in the absence of specific tasks. Analysis of the rs-fMRI data required spatially and functionally homogenous parcellation of the whole brain based on underlying temporal fluctuations.
Harshit, Parmar   +4 more
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Measuring Temporal Dynamics of Resting-state fMRI Data

Bio-Medical Materials and Engineering, 2014
Resting state functional MRI (rs-fMRI), which is used to measure blood oxygen level-dependent (BOLD) from resting brains, is a relatively new and powerful method for evaluating regional interactions that occur when a participant is not performing an explicit task.
Lianghua, He   +3 more
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Resting-State fMRI in Multiple Sclerosis

2020
In 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   +1 more source

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 ...
Christoph, Helmchen   +3 more
openaire   +2 more sources

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