[HTML][HTML] A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis

S Noble, D Scheinost, RT Constable - Neuroimage, 2019 - Elsevier
Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …

[HTML][HTML] The adolescent brain cognitive development (ABCD) study: imaging acquisition across 21 sites

BJ Casey, T Cannonier, MI Conley, AO Cohen… - Developmental cognitive …, 2018 - Elsevier
The ABCD study is recruiting and following the brain development and health of over 10,000
9–10 year olds through adolescence. The imaging component of the study was developed …

[HTML][HTML] An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI

L Parkes, B Fulcher, M Yücel, A Fornito - Neuroimage, 2018 - Elsevier
Estimates of functional connectivity derived from resting-state functional magnetic resonance
imaging (rs-fMRI) are sensitive to artefacts caused by in-scanner head motion. This …

Using connectome-based predictive modeling to predict individual behavior from brain connectivity

X Shen, ES Finn, D Scheinost, MD Rosenberg… - nature protocols, 2017 - nature.com
Neuroimaging is a fast-developing research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …

[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 …

DPABI: data processing & analysis for (resting-state) brain imaging

CG Yan, XD Wang, XN Zuo, YF Zang - Neuroinformatics, 2016 - Springer
Brain imaging efforts are being increasingly devoted to decode the functioning of the human
brain. Among neuroimaging techniques, resting-state fMRI (R-fMRI) is currently expanding …

[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 …

Harnessing reliability for neuroscience research

XN Zuo, T Xu, MP Milham - Nature human behaviour, 2019 - nature.com
Neuroscientists are amassing the large-scale datasets needed to study individual
differences and identify biomarkers. However, measurement reliability within individual …

[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 …

ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data

RHR Pruim, M Mennes, D van Rooij, A Llera… - Neuroimage, 2015 - Elsevier
Head motion during functional MRI (fMRI) scanning can induce spurious findings and/or
harm detection of true effects. Solutions have been proposed, including deleting …