Results 11 to 20 of about 60,482 (258)
Vigilance Effects in Resting-State fMRI [PDF]
Frontiers in Neuroscience, 2020 Measures of resting-state functional magnetic resonance imaging (rsfMRI) activity have been shown to be sensitive to cognitive function and disease state.
Thomas T. Liu +2 more
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Network connectivity in epilepsy: Resting state-fMRI and EEG-fMRI contributions [PDF]
Frontiers in Neurology, 2014 There is a growing body of evidence pointing towards large scale networks underlying the core phenomena in epilepsy, from seizure generation to cognitive dysfunction or response to treatment.
Maria eCenteno +3 more
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Resting State fMRI: Going Through the Motions [PDF]
Frontiers in Neuroscience, 2019 Resting state functional magnetic resonance imaging (rs-fMRI) has become an indispensable tool in neuroscience research. Despite this, rs-fMRI signals are easily contaminated by artifacts arising from movement of the head during data collection.
Sanam Maknojia +6 more
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Resting-State fMRI in Studies of Acupuncture [PDF]
Evidence-Based Complementary and Alternative Medicine, 2021 Research exploring the mechanism of acupuncture has been a hot topic in medicine. Resting-state functional magnetic resonance imaging (rs-fMRI) research is a noninvasive and extensive method, which is aimed at the research of the mechanism of acupuncture. Researchers use fMRI technologies to inspect the acupuncture process.
Xiaoling Li +6 more
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Resting-state fMRI studies in epilepsy [PDF]
Neuroscience Bulletin, 2012 Epilepsy is a disease characterized by abnormal spontaneous activity in the brain. Resting-state functional magnetic resonance imaging (RS-fMRI) is a powerful technique for exploring this activity. With good spatial and temporal resolution, RS-fMRI is a promising approach for accurate localization of the focus of seizure activity. Although simultaneous
, Wurina, Yu-Feng, Zang, Shi-Gang, Zhao
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Connectopic mapping with resting-state fMRI [PDF]
NeuroImage, 2018 Brain regions are often topographically connected: nearby locations within one brain area connect with nearby locations in another area. Mapping these connection topographies, or 'connectopies' in short, is crucial for understanding how information is processed in the brain.
Haak, K.V. +5 more
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NeuroImage, 2014 This technical note introduces a dynamic causal model (DCM) for resting state fMRI time series based upon observed functional connectivity--as measured by the cross spectra among different brain regions. This DCM is based upon a deterministic model that generates predicted crossed spectra from a biophysically plausible model of coupled neuronal ...
Karl J. Friston +3 more
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Large-scale DCMs for resting-state fMRI [PDF]
Network Neuroscience, 2017 This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with functional connectivity methods based on symmetric correlations that are ubiquitous in resting-state functional MRI ...
Adeel Razi +8 more
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The Neuroscientist, 2014 Although brain plasticity is greatest in the first few years of life, the brain continues to be shaped by experience throughout adulthood. Advances in fMRI have enabled us to examine the plasticity of large-scale networks using blood oxygen level-dependent (BOLD) correlations measured at rest.
Guerra-Carrillo, Belén +2 more
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Lag structure in resting-state fMRI
Journal of Neurophysiology, 2014 The discovery that spontaneous fluctuations in blood oxygen level-dependent (BOLD) signals contain information about the functional organization of the brain has caused a paradigm shift in neuroimaging. It is now well established that intrinsic brain activity is organized into spatially segregated resting-state networks (RSNs). Less is known regarding
A, Mitra +3 more
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