User profiles for Eric Earl

Eric Earl

NIMH Data Science & Sharing Team
Verified email at nih.gov
Cited by 6399

[HTML][HTML] Reproducible brain-wide association studies require thousands of individuals

…, O Miranda-Dominguez, AM Graham, EA Earl… - 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 studies) …

[HTML][HTML] The adolescent brain cognitive development (ABCD) study: imaging acquisition across 21 sites

…, NUF Dosenbach, M Rosenberg, E Earl… - Developmental cognitive …, 2018 - Elsevier
The ABCD study is recruiting and following the brain development and health of over 10,000
9–10 year olds through adolescence. The imaging component of the study was developed …

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

…, LM Squeglia, LW Hyde, MD Rosenberg, EA Earl… - Neuroimage, 2019 - Elsevier
The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide
study of the effects of environmental influences on behavioral and brain development in …

Brain imaging of the cortex in ADHD: a coordinated analysis of large-scale clinical and population-based samples

…, G Sudre, T Wolfers, EA Earl… - American Journal of …, 2019 - Am Psychiatric Assoc
Objective: Neuroimaging studies show structural alterations of various brain regions in children
and adults with attention deficit hyperactivity disorder (ADHD), although nonreplications …

Towards reproducible brain-wide association studies

…, O Miranda-Dominguez, AM Graham, EA Earl… - BioRxiv, 2020 - biorxiv.org
Magnetic resonance imaging (MRI) continues to drive many important neuroscientific
advances. However, progress in uncovering reproducible associations between individual …

[HTML][HTML] Real-time motion analytics during brain MRI improve data quality and reduce costs

NUF Dosenbach, JM Koller, EA Earl… - Neuroimage, 2017 - Elsevier
Head motion systematically distorts clinical and research MRI data. Motion artifacts have
biased findings from many structural and functional brain MRI studies. An effective way to …

[HTML][HTML] Correction of respiratory artifacts in MRI head motion estimates

…, AZ Snyder, A Perrone, EA Earl… - Neuroimage, 2020 - Elsevier
Head motion represents one of the greatest technical obstacles in magnetic resonance
imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion …

QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data

…, LM Cabral, C Davatzikos, JA Detre, E Earl… - Nature …, 2021 - nature.com
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively
studying the organization of white matter in the human brain. Here we introduce QSIPrep…

Subcortical brain volume, regional cortical thickness, and cortical surface area across disorders: findings from the ENIGMA ADHD, ASD, and OCD working groups

…, AE Doyle, S Durston, EA Earl… - American Journal of …, 2020 - Am Psychiatric Assoc
Objective: Attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD),
and obsessive-compulsive disorder (OCD) are common neurodevelopmental disorders that …

[HTML][HTML] Behavioral interventions for reducing head motion during MRI scans in children

…, AN Van, AL Nguyen, CR Hoyt, L McIntyre, EA Earl… - Neuroimage, 2018 - Elsevier
A major limitation to structural and functional MRI (fMRI) scans is their susceptibility to head
motion artifacts. Even submillimeter movements can systematically distort functional …