[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 …

Graph analysis of functional brain networks: practical issues in translational neuroscience

F de Vico Fallani, J Richiardi… - … Transactions of the …, 2014 - royalsocietypublishing.org
The brain can be regarded as a network: a connected system where nodes, or units,
represent different specialized regions and links, or connections, represent communication …

[HTML][HTML] Towards a consensus regarding global signal regression for resting state functional connectivity MRI

K Murphy, MD Fox - Neuroimage, 2017 - Elsevier
The number of resting state functional connectivity MRI studies continues to expand at a
rapid rate along with the options for data processing. Of the processing options, few have …

[HTML][HTML] Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity

R Ciric, DH Wolf, JD Power, DR Roalf, GL Baum… - Neuroimage, 2017 - Elsevier
Since initial reports regarding the impact of motion artifact on measures of functional
connectivity, there has been a proliferation of participant-level confound regression methods …

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) …

Mitigating head motion artifact in functional connectivity MRI

R Ciric, AFG Rosen, G Erus, M Cieslak, A Adebimpe… - Nature protocols, 2018 - nature.com
Participant motion during functional magnetic resonance image (fMRI) acquisition produces
spurious signal fluctuations that can confound measures of functional connectivity. Without …

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 …

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 …