[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 …

Associations between screen-based media use and brain white matter integrity in preschool-aged children

JS Hutton, J Dudley, T Horowitz-Kraus, T DeWitt… - JAMA …, 2020 - jamanetwork.com
Importance The American Academy of Pediatrics (AAP) recommends limits on screen-based
media use, citing its cognitive-behavioral risks. Screen use by young children is prevalent …

[HTML][HTML] Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

F Alfaro-Almagro, M Jenkinson, NK Bangerter… - Neuroimage, 2018 - Elsevier
UK Biobank is a large-scale prospective epidemiological study with all data accessible to
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development

BR Howell, MA Styner, W Gao, PT Yap, L Wang… - NeuroImage, 2019 - Elsevier
The human brain undergoes extensive and dynamic growth during the first years of life. The
UNC/UMN Baby Connectome Project (BCP), one of the Lifespan Connectome Projects …

[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

[HTML][HTML] Confound modelling in UK Biobank brain imaging

F Alfaro-Almagro, P McCarthy, S Afyouni… - NeuroImage, 2021 - Elsevier
Dealing with confounds is an essential step in large cohort studies to address problems
such as unexplained variance and spurious correlations. UK Biobank is a powerful resource …

[HTML][HTML] Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

M Bastiani, M Cottaar, SP Fitzgibbon, S Suri… - Neuroimage, 2019 - Elsevier
Diffusion MRI data can be affected by hardware and subject-related artefacts that can
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …

[HTML][HTML] Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement

JLR Andersson, MS Graham, I Drobnjak, H Zhang… - Neuroimage, 2017 - Elsevier
Most motion correction methods work by aligning a set of volumes together, or to a volume
that represents a reference location. These are based on an implicit assumption that the …

Studying neuroanatomy using MRI

JP Lerch, AJW Van Der Kouwe, A Raznahan… - Nature …, 2017 - nature.com
The study of neuroanatomy using imaging enables key insights into how our brains function,
are shaped by genes and environment, and change with development, aging and disease …