Results 11 to 20 of about 249,333 (304)
DPARSF: a MATLAB toolbox for pipeline data analysis of resting-state fMRI
Frontiers in Systems Neuroscience, 2010 Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more attention because of its effectiveness, simplicity and non-invasiveness in exploration of the intrinsic functional architecture of the human brain.
Chaogan Yan, Yufeng Zang
doaj +4 more sources
Resting-state fMRI confounds and cleanup
NeuroImage, 2013 The goal of resting-state functional magnetic resonance imaging (fMRI) is to investigate the brain's functional connections by using the temporal similarity between blood oxygenation level dependent (BOLD) signals in different regions of the brain “at ...
Kevin Murphy +2 more
exaly +3 more sources
An information-theoretic analysis of resting-state versus task fMRI [PDF]
Network Neuroscience, 2023 Resting-state fMRI is an increasingly popular alternative to task-based fMRI. However, a formal quantification of the amount of information provided by resting-state fMRI as opposed to active task conditions about neural responses is lacking.
Julia Tuominen +3 more
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The electrophysiological basis of resting-state fMRI hyperconnectivity in early Alzheimer’s disease [PDF]
Alzheimer’s Research & TherapyObjective One of the most intriguing findings in Alzheimer’s disease connectivity studies is resting-state fMRI hyperconnectivity in the preclinical and prodromal phase.
Laure Spruyt +8 more
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A review of resting-state fMRI and its use to examine psychiatric disorders
Psychoradiology, 2021 Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in human and animal models. In humans, it has been widely used to study psychiatric disorders including schizophrenia, bipolar disorder, autism spectrum disorders ...
Donna Y Chen +2 more
exaly +2 more sources
NeuroImage, 2013 Recent resting-state functional connectivity fMRI (RS-fcMRI) research has demonstrated that head motion during fMRI acquisition systematically influences connectivity estimates despite bandpass filtering and nuisance regression, which are intended to ...
Michael N Hallquist +2 more
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Functional connectomics from resting-state fMRI
Trends in Cognitive Sciences, 2013 Spontaneous fluctuations in activity in different parts of the brain can be used to study functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose of mapping the macroscopic functional connectome.
Stephen M Smith +2 more
exaly +2 more sources
The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations
Neuron, 2018 SUMMARY Patterns of spontaneous brain activity, typically measured in humans at rest with fMRI, are used routinely to assess the brain’s functional organization.
Janita Turchi, Catie Chang, Frank Q Ye
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Neuroinformatics, 2013 The multi-scan resting state fMRI (rs-fMRI) dataset was recently released; thus the test-retest (TRT) reliability of rs-fMRI measures can be assessed. However, because this dataset was acquired only from a single group under a single condition, we cannot
Dong-Qiang Liu +2 more
exaly +1 more source
Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020 The Blood-Oxygen-Level-Dependent (BOLD) signal of resting-state fMRI (rs-fMRI) records the temporal dynamics of intrinsic functional networks in the brain.
S. Gadgil +5 more
semanticscholar +1 more source