Results 11 to 20 of about 254,305 (352)

State-Dependent Effective Connectivity in Resting-State fMRI [PDF]

Frontiers in Neural Circuits, 2021
The human brain at rest exhibits intrinsic dynamics transitioning among the multiple metastable states of the inter-regional functional connectivity. Accordingly, the demand for exploring the state-specific functional connectivity increases for a deeper ...
Hae-Jeong Park, Hae-Jeong Park, Hae-Jeong Park, Hae-Jeong Park, Hae-Jeong Park, Jinseok Eo, Jinseok Eo, Chongwon Pae, Chongwon Pae, Chongwon Pae, Chongwon Pae, Junho Son, Junho Son, Sung Min Park, Sung Min Park, Jiyoung Kang, Jiyoung Kang, Jiyoung Kang, Jiyoung Kang   +18 more
doaj   +4 more sources

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, Nathan W. Churchill, Tom A. Schweizer, Tom A. Schweizer, Tom A. Schweizer, S. J. Graham, S. J. Graham   +6 more
doaj   +4 more sources

On consciousness, resting state fMRI, and neurodynamics [PDF]

Nonlinear Biomedical Physics, 2010
During the last years, functional magnetic resonance imaging (fMRI) of the brain has been introduced as a new tool to measure consciousness, both in a clinical setting and in a basic neurocognitive research. Moreover, advanced mathematical methods and theories have arrived the field of fMRI (e.g.
Arvid Lundervold
openalex   +4 more sources

Resting-state fMRI in the Human Connectome Project [PDF]

NeuroImage, 2013
Resting-state functional magnetic resonance imaging (rfMRI) allows one to study functional connectivity in the brain by acquiring fMRI data while subjects lie inactive in the MRI scanner, and taking advantage of the fact that functionally related brain regions spontaneously co-activate. rfMRI is one of the two primary data modalities being acquired for
Stephen M. Smith, C. Beckmann, J. Andersson, E. Auerbach, J. Bijsterbosch, G. Douaud, E. Duff, D. Feinberg, L. Griffanti, M. Harms, M. Kelly, Timothy O. Laumann, K. Miller, S. Moeller, S. Petersen, Jonathan D. Power, G. Khorshidi, A. Snyder, A. Vu, M. Woolrich, Junqian Xu, E. Yacoub, K. Uğurbil, D. C. Essen, M. Glasser   +24 more
semanticscholar   +9 more sources

Regression dynamic causal modeling for resting‐state fMRI [PDF]

Human Brain Mapping, 2020
“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
S. Frässle, Samuel J. Harrison, J. Heinzle, B. Clementz, C. Tamminga, J. Sweeney, E. Gershon, M. Keshavan, G. Pearlson, Albert R. Powers, K. Stephan   +10 more
semanticscholar   +6 more sources

Resting-state fMRI confounds and cleanup [PDF]

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 rest" as an indicator of synchronous neural activity.
Kevin Murphy, Rasmus M. Birn, Peter A. Bandettini   +2 more
openalex   +4 more sources

A DCM for resting state fMRI

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, J. Kahan, B. Biswal, Adeel Razi   +3 more
semanticscholar   +5 more sources

The Electrophysiology of Resting State fMRI Networks [PDF]

, 2017
Traditional research in neuroscience has studied the topography of specific brain functions largely by presenting stimuli or imposing tasks and measuring evoked brain activity. This paradigm has dominated neuroscience for 50 years.
Hacker, Carl David
core   +5 more sources

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, Lina Cai, Xiaoxu Jiang, Xiaohui Liu, Jingxian Wang, Tiansong Yang, Feng Wang   +6 more
openaire   +3 more sources

Functional connectomics from resting-state fMRI [PDF]

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. After describing MRI acquisition and image-processing methods commonly used to generate data in a form amenable ...
Stephen M. Smith, D. Vidaurre, C. Beckmann, M. Glasser, M. Jenkinson, K. Miller, Thomas E. Nichols, E. Robinson, G. Salimi-Khorshidi, M. Woolrich, D. Barch, K. Uğurbil, D. C. Essen   +12 more
semanticscholar   +6 more sources