User profiles for R. Craddock

Robert Craddock

Smithsonian Institution
Verified email at si.edu
Cited by 3930

[HTML][HTML] Neuroimaging after mild traumatic brain injury: review and meta-analysis

C Eierud, RC Craddock, S Fletcher, M Aulakh… - NeuroImage: Clinical, 2014 - Elsevier
This paper broadly reviews the study of mild traumatic brain injury (mTBI), across the spectrum
of neuroimaging modalities. Among the range of imaging methods, however, magnetic …

Imaging human connectomes at the macroscale

RC Craddock, S Jbabdi, CG Yan, JT Vogelstein… - Nature …, 2013 - nature.com
At macroscopic scales, the human connectome comprises anatomically distinct brain areas,
the structural pathways connecting them and their functional interactions. Annotation of …

[PDF][PDF] Unraveling the miswired connectome: a developmental perspective

…, FX Castellanos, ME Thomason, RC Craddock… - Neuron, 2014 - cell.com
The vast majority of mental illnesses can be conceptualized as developmental disorders of
neural interactions within the connectome, or developmental miswiring. The recent …

A whole brain fMRI atlas generated via spatially constrained spectral clustering

RC Craddock, GA James… - Human brain …, 2012 - Wiley Online Library
Connectivity analyses and computational modeling of human brain function from fMRI data
frequently require the specification of regions of interests (ROIs). Several analyses have …

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics

…, B Cheung, C Kelly, S Colcombe, RC Craddock… - Neuroimage, 2013 - Elsevier
Functional connectomics is one of the most rapidly expanding areas of neuroimaging
research. Yet, concerns remain regarding the use of resting-state fMRI (R-fMRI) to characterize …

[HTML][HTML] The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

KJ Gorgolewski, T Auer, VD Calhoun, RC Craddock… - Scientific data, 2016 - nature.com
The development of magnetic resonance imaging (MRI) techniques has defined modern
neuroimaging. Since its inception, tens of thousands of studies using techniques such as …

Subcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression

…, HS Mayberg, P Giacobbe, C Hamani, RC Craddock… - Biological …, 2008 - Elsevier
BACKGROUND: A preliminary report in six patients suggested that deep brain stimulation (DBS)
of the subcallosal cingulate gyrus (SCG) may provide benefit in treatment-resistant …

[HTML][HTML] Identification of autism spectrum disorder using deep learning and the ABIDE dataset

AS Heinsfeld, AR Franco, RC Craddock… - NeuroImage: Clinical, 2018 - Elsevier
The goal of the present study was to apply deep learning algorithms to identify autism spectrum
disorder (ASD) patients from large brain imaging dataset, based solely on the patients …

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

A Abraham, MP Milham, A Di Martino, RC Craddock… - NeuroImage, 2017 - Elsevier
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal
functional biomarkers of neuropsychiatric disorders. However, extracting such biomarkers is …

[HTML][HTML] Enhancing studies of the connectome in autism using the autism brain imaging data exchange II

…, CJ Vaidya, N Wenderoth, T White, RC Craddock… - Scientific data, 2017 - nature.com
The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance
the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent …