Results 41 to 50 of about 684,164 (343)
Construct validation of a DCM for resting state fMRI
NeuroImage, 2015 Recently, there has been a lot of interest in characterising the connectivity of resting state brain networks. Most of the literature uses functional connectivity to examine these intrinsic brain networks. Functional connectivity has well documented limitations because of its inherent inability to identify causal interactions. Dynamic causal modelling (
Geraint Rees +4 more
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Frontiers in NeuroimagingSevere acute brain injury (SABI) with suppressed consciousness is a major societal burden, with early prognosis being crucial for life-and-death treatment decisions.
Emilio G. Cediel +6 more
doaj +1 more source
Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
NeuroImage, 2021 Neurofeedback (NF) aptitude, which refers to an individual's ability to change brain activity through NF training, has been reported to vary significantly from person to person.
Takashi Nakano +11 more
doaj
Regression dynamic causal modeling for resting‐state fMRI [PDF]
Human Brain Mapping, 2020 Abstract“Resting‐state” functional magnetic resonance imaging (rs‐fMRI) is widely used to study brain connectivity. So far, researchers have been restricted to measures of functional connectivity that are computationally efficient but undirected, or to effective connectivity estimates that are directed but limited to small networks.
Samuel J. Harrison +12 more
openaire +5 more sources
Resting-state fMRI: new possibilities for studying physiology and pathology of the brain
Анналы клинической и экспериментальной неврологии, 2017 A new method, resting-state fMRI, has been proposed recentlfor studying basic sensory, emotional, and cognitive processes inhealthy and neurologically affected subjects.
E. V. Seliverstova +3 more
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Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI [PDF]
, 2022 Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses have limited its clinical applicability. Previous studies have focused primarily on the accurate estimation of the motion parameters employing a ...
arxiv +1 more source
Hemodynamic and electrophysiological evidence of resting-state network activity in the primate [PDF]
, 2008 An expanding body of literature describes the existence of concerted brain activations in the absence of any external stimuli. Resting-state networks have been identified and demonstrated to be modulated during the performance of specific cognitive ...
Allen Ardestani +4 more
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Spatio-temporal correlation tensors reveal functional structure in human brain. [PDF]
PLoS ONE, 2013 Resting state functional magnetic resonance imaging (fMRI) has been commonly used to measure functional connectivity between cortical regions, while diffusion tensor imaging (DTI) can be used to characterize structural connectivity of white matter tracts.
Zhaohua Ding +5 more
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Frontiers in Physiology, 2021 Task and resting-state functional MRI (fMRI) is primarily based on the same blood-oxygenation level-dependent (BOLD) phenomenon that MRI-based cerebrovascular reactivity (CVR) mapping has most commonly relied upon.
J. Jean Chen +3 more
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Potential pitfalls when denoising resting state fMRI data using nuisance regression [PDF]
, 2016 In resting state fMRI, it is necessary to remove signal variance associated with noise sources, leaving cleaned fMRI time-series that more accurately reflect the underlying intrinsic brain fluctuations of interest.
Bright, Molly G. +2 more
core +2 more sources