Results 41 to 50 of about 684,164 (343)

Construct validation of a DCM for resting state fMRI

open access: yesNeuroImage, 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
openaire   +4 more sources

Pre- and post-therapy functional MRI connectivity in severe acute brain injury with suppression of consciousness: a comparative analysis to epilepsy features

open access: yesFrontiers in Neuroimaging
Severe 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

open access: yesNeuroImage, 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]

open access: yesHuman 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

open access: yesАнналы 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
doaj   +1 more source

Spatio-temporal motion correction and iterative reconstruction of in-utero fetal fMRI [PDF]

open access: yes, 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]

open access: yes, 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
core   +2 more sources

Spatio-temporal correlation tensors reveal functional structure in human brain. [PDF]

open access: yesPLoS 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
doaj   +1 more source

The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI

open access: yesFrontiers 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
doaj   +1 more source

Potential pitfalls when denoising resting state fMRI data using nuisance regression [PDF]

open access: yes, 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

Home - About - Disclaimer - Privacy