Results 11 to 20 of about 117,241 (194)

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
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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   +3 more sources

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, Thomas T. Liu, Maryam Falahpour   +2 more
doaj   +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 ...
Smith, S, Vidaurre, D, Beckmann, C, Beckmann, C, Beckmann, C, Glasser, M, Jenkinson, M, Miller, K, Nichols, T, Nichols, T, Robinson, E, Salimi-Khorshidi, G, Woolrich, M, Woolrich, M, Barch, D, Uǧurbil, K, Van Essen, D   +16 more
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Resting state fMRI: A personal history

NeuroImage, 2012
The goal of this review is to describe, from a personal perspective, the development and emergence of the resting state fMRI. In particular, various concepts derived from the resting state data are discussed in detail, including connectivity, amplitude of the fluctuations, analysis techniques, and use in clinical populations.
Bharat B Biswal
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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 ...
Friston, Karl J., Kahan, Joshua, Biswal, Bharat, Razi, Adeel   +3 more
openaire   +5 more sources

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, Maria eCenteno, David W Carmichael, David W Carmichael   +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, Nathan W. Churchill, Tom A. Schweizer, Tom A. Schweizer, Tom A. Schweizer, S. J. Graham, S. J. Graham   +6 more
doaj   +3 more sources

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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Phenotyping Superagers Using Resting-State fMRI

American Journal of Neuroradiology, 2023
Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls.
de Godoy, L.L., Studart-Neto, A., de Paula, D.R., Green, N., Halder, A., Arantes, P., Chaim, K.T., Moraes, N.C., Yassuda, M.S., Nitrini, R., Dresler, M., Dresler, M., da Costa Leite, C., Panovska-Griffiths, J., Soddu, A., Bisdas, S.   +15 more
openaire   +4 more sources