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 …

[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 …

Reproducible brain-wide association studies require thousands of individuals

S Marek, B Tervo-Clemmens, FJ Calabro, DF Montez… - Nature, 2022 - nature.com
Magnetic resonance imaging (MRI) has transformed our understanding of the human brain
through well-replicated mapping of abilities to specific structures (for example, lesion …

Next-generation MRI scanner designed for ultra-high-resolution human brain imaging at 7 Tesla

DA Feinberg, AJS Beckett, AT Vu, J Stockmann… - Nature …, 2023 - nature.com
To increase granularity in human neuroimaging science, we designed and built a next-
generation 7 Tesla magnetic resonance imaging scanner to reach ultra-high resolution by …

mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity

M Pagani, N Barsotti, A Bertero, S Trakoshis… - Nature …, 2021 - nature.com
Postmortem studies have revealed increased density of excitatory synapses in the brains of
individuals with autism spectrum disorder (ASD), with a putative link to aberrant mTOR …

Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects

MP Harms, LH Somerville, BM Ances, J Andersson… - Neuroimage, 2018 - Elsevier
Abstract The Human Connectome Projects in Development (HCP-D) and Aging (HCP-A) are
two large-scale brain imaging studies that will extend the recently completed HCP Young …

[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 …

[HTML][HTML] Hand classification of fMRI ICA noise components

L Griffanti, G Douaud, J Bijsterbosch, S Evangelisti… - Neuroimage, 2017 - Elsevier
We present a practical “how-to” guide to help determine whether single-subject fMRI
independent components (ICs) characterise structured noise or not. Manual identification of …

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 …

Building a science of individual differences from fMRI

J Dubois, R Adolphs - Trends in cognitive sciences, 2016 - cell.com
To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …