[HTML][HTML] The dynamic functional connectome: State-of-the-art and perspectives

MG Preti, TAW Bolton, D Van De Ville - Neuroimage, 2017 - Elsevier
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …

The human connectome project's neuroimaging approach

MF Glasser, SM Smith, DS Marcus… - Nature …, 2016 - nature.com
Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous
methodological advances have also occurred, though inertia has slowed their adoption. This …

fMRIPrep: a robust preprocessing pipeline for functional MRI

O Esteban, CJ Markiewicz, RW Blair, CA Moodie… - Nature …, 2019 - nature.com
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

[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 …

[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 …

Functional brain architecture is associated with the rate of tau accumulation in Alzheimer's disease

N Franzmeier, J Neitzel, A Rubinski, R Smith… - Nature …, 2020 - nature.com
In Alzheimer's diseases (AD), tau pathology is strongly associated with cognitive decline.
Preclinical evidence suggests that tau spreads across connected neurons in an activity …

Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks

ML Dixon, A De La Vega, C Mills… - Proceedings of the …, 2018 - National Acad Sciences
The frontoparietal control network (FPCN) plays a central role in executive control. It has
been predominantly viewed as a unitary domain general system. Here, we examined …

[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 …

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; …