[HTML][HTML] Methods for cleaning the BOLD fMRI signal

C Caballero-Gaudes, RC Reynolds - Neuroimage, 2017 - Elsevier
Blood oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) has
rapidly become a popular technique for the investigation of brain function in healthy …

Resting-state fMRI confounds and cleanup

K Murphy, RM Birn, PA Bandettini - Neuroimage, 2013 - Elsevier
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 …

Music improves social communication and auditory–motor connectivity in children with autism

M Sharda, C Tuerk, R Chowdhury, K Jamey… - Translational …, 2018 - nature.com
Music has been identified as a strength in people with Autism Spectrum Disorder; however,
there is currently no neuroscientific evidence supporting its benefits. Given its universal …

ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging

L Griffanti, G Salimi-Khorshidi, CF Beckmann… - Neuroimage, 2014 - Elsevier
The identification of resting state networks (RSNs) and the quantification of their functional
connectivity in resting-state fMRI (rfMRI) are seriously hindered by the presence of artefacts …

The global signal in fMRI: Nuisance or Information?

TT Liu, A Nalci, M Falahpour - Neuroimage, 2017 - Elsevier
The global signal is widely used as a regressor or normalization factor for removing the
effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) …

Anticorrelations in resting state networks without global signal regression

XJ Chai, AN Castañón, D Öngür, S Whitfield-Gabrieli - Neuroimage, 2012 - Elsevier
Anticorrelated relationships in spontaneous signal fluctuation have been previously
observed in resting-state functional magnetic resonance imaging (fMRI). In particular, it was …

Trouble at rest: how correlation patterns and group differences become distorted after global signal regression

ZS Saad, SJ Gotts, K Murphy, G Chen, HJ Jo… - Brain …, 2012 - liebertpub.com
Resting-state functional magnetic resonance imaging (RS-FMRI) holds the promise of
revealing brain functional connectivity without requiring specific tasks targeting particular …

Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization

KRA Van Dijk, T Hedden… - Journal of …, 2010 - journals.physiology.org
Resting state functional connectivity MRI (fcMRI) is widely used to investigate brain networks
that exhibit correlated fluctuations. While fcMRI does not provide direct measurement of …

The global signal and observed anticorrelated resting state brain networks

MD Fox, D Zhang, AZ Snyder… - Journal of …, 2009 - journals.physiology.org
Resting state studies of spontaneous fluctuations in the functional MRI (fMRI) blood oxygen
level dependent (BOLD) signal have shown great promise in map** the brain's intrinsic …

The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?

K Murphy, RM Birn, DA Handwerker, TB Jones… - Neuroimage, 2009 - Elsevier
Low-frequency fluctuations in fMRI signal have been used to map several consistent resting
state networks in the brain. Using the posterior cingulate cortex as a seed region, functional …