[HTML][HTML] The human connectome project: a retrospective

JS Elam, MF Glasser, MP Harms, SN Sotiropoulos… - NeuroImage, 2021‏ - Elsevier
Abstract The Human Connectome Project (HCP) was launched in 2010 as an ambitious
effort to accelerate advances in human neuroimaging, particularly for measures of brain …

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 …

Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

G Varoquaux, PR Raamana, DA Engemann… - NeuroImage, 2017‏ - Elsevier
Decoding, ie prediction from brain images or signals, calls for empirical evaluation of its
predictive power. Such evaluation is achieved via cross-validation, a method also used to …

Autoreject: Automated artifact rejection for MEG and EEG data

M Jas, DA Engemann, Y Bekhti, F Raimondo… - NeuroImage, 2017‏ - Elsevier
We present an automated algorithm for unified rejection and repair of bad trials in
magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method …

[HTML][HTML] Hierarchical heterogeneity across human cortex shapes large-scale neural dynamics

M Demirtaş, JB Burt, M Helmer, JL Ji, BD Adkinson… - Neuron, 2019‏ - cell.com
The large-scale organization of dynamical neural activity across cortex emerges through
long-range interactions among local circuits. We hypothesized that large-scale dynamics are …

The WU-Minn human connectome project: an overview

DC Van Essen, SM Smith, DM Barch, TEJ Behrens… - Neuroimage, 2013‏ - Elsevier
Abstract The Human Connectome Project consortium led by Washington University,
University of Minnesota, and Oxford University is undertaking a systematic effort to map …

Function in the human connectome: task-fMRI and individual differences in behavior

DM Barch, GC Burgess, MP Harms, SE Petersen… - Neuroimage, 2013‏ - Elsevier
The primary goal of the Human Connectome Project (HCP) is to delineate the typical
patterns of structural and functional connectivity in the healthy adult human brain. However …

[HTML][HTML] How reliable are MEG resting-state connectivity metrics?

GL Colclough, MW Woolrich, PK Tewarie, MJ Brookes… - Neuroimage, 2016‏ - Elsevier
MEG offers dynamic and spectral resolution for resting-state connectivity which is
unavailable in fMRI. However, there are a wide range of available network estimation …

Functional connectomics from resting-state fMRI

SM Smith, D Vidaurre, CF Beckmann… - Trends in cognitive …, 2013‏ - cell.com
Spontaneous fluctuations in activity in different parts of the brain can be used to study
functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the …

[HTML][HTML] Discovering dynamic brain networks from big data in rest and task

D Vidaurre, R Abeysuriya, R Becker, AJ Quinn… - NeuroImage, 2018‏ - Elsevier
Brain activity is a dynamic combination of the responses to sensory inputs and its own
spontaneous processing. Consequently, such brain activity is continuously changing …