The brain's default network: updated anatomy, physiology and evolving insights

RL Buckner, LM DiNicola - Nature Reviews Neuroscience, 2019 - nature.com
Discoveries over the past two decades demonstrate that regions distributed throughout the
association cortex, often called the default network, are suppressed during tasks that …

[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 …

Multimodal neuroimaging in post-COVID syndrome and correlation with cognition

M Díez-Cirarda, M Yus, N Gómez-Ruiz, C Polidura… - Brain, 2023 - academic.oup.com
Brain changes have been reported in the first weeks after SARS-CoV-2 infection. However,
limited literature exists about brain alterations in post-COVID syndrome, a condition …

Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging

A Horn, N Li, TA Dembek, A Kappel, C Boulay, S Ewert… - Neuroimage, 2019 - Elsevier
Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders
and a growing number of other indications are investigated in clinical trials. To ensure …

[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] GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

J Wang, X Wang, M Xia, X Liao, A Evans… - Frontiers in human …, 2015 - frontiersin.org
Recent studies have suggested that the brain's structural and functional networks (ie,
connectomics) can be constructed by various imaging technologies (eg, EEG/MEG; …

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 …

Global signal regression strengthens association between resting-state functional connectivity and behavior

J Li, R Kong, R Liégeois, C Orban, Y Tan, N Sun… - NeuroImage, 2019 - Elsevier
Global signal regression (GSR) is one of the most debated preprocessing strategies for
resting-state functional MRI. GSR effectively removes global artifacts driven by motion and …

Sources and implications of whole-brain fMRI signals in humans

JD Power, M Plitt, TO Laumann, A Martin - Neuroimage, 2017 - Elsevier
Whole-brain fMRI signals are a subject of intense interest: variance in the global fMRI signal
(the spatial mean of all signals in the brain) indexes subject arousal, and psychiatric …

Methods to detect, characterize, and remove motion artifact in resting state fMRI

JD Power, A Mitra, TO Laumann, AZ Snyder… - Neuroimage, 2014 - Elsevier
Head motion systematically alters correlations in resting state functional connectivity fMRI
(RSFC). In this report we examine impact of motion on signal intensity and RSFC …