A whole brain fMRI atlas generated via spatially constrained spectral clustering RC Craddock, GA James, PE Holtzheimer III, XP Hu, HS Mayberg Human brain mapping 33 (8), 1914-1928, 2012 | 1639 | 2012 |
A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics CG Yan, B Cheung, C Kelly, S Colcombe, RC Craddock, A Di Martino, ... Neuroimage 76, 183-201, 2013 | 1430 | 2013 |
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments KJ Gorgolewski, T Auer, VD Calhoun, RC Craddock, S Das, EP Duff, ... Scientific data 3 (1), 1-9, 2016 | 1357 | 2016 |
Subcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression AM Lozano, HS Mayberg, P Giacobbe, C Hamani, RC Craddock, ... Biological psychiatry 64 (6), 461-467, 2008 | 1100 | 2008 |
Identification of autism spectrum disorder using deep learning and the ABIDE dataset AS Heinsfeld, AR Franco, RC Craddock, A Buchweitz, F Meneguzzi NeuroImage: Clinical 17, 16-23, 2018 | 851 | 2018 |
The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry KB Nooner, SJ Colcombe, RH Tobe, M Mennes, MM Benedict, AL Moreno, ... Frontiers in neuroscience 6, 152, 2012 | 793 | 2012 |
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example A Abraham, MP Milham, A Di Martino, RC Craddock, D Samaras, ... NeuroImage 147, 736-745, 2017 | 610 | 2017 |
Neuroimaging after mild traumatic brain injury: review and meta-analysis C Eierud, RC Craddock, S Fletcher, M Aulakh, B King-Casas, D Kuehl, ... NeuroImage: Clinical 4, 283-294, 2014 | 568 | 2014 |
Toward a neuroimaging treatment selection biomarker for major depressive disorder CL McGrath, ME Kelley, PE Holtzheimer, BW Dunlop, WE Craighead, ... JAMA psychiatry 70 (8), 821-829, 2013 | 538 | 2013 |
Enhancing studies of the connectome in autism using the autism brain imaging data exchange II A Di Martino, D O’connor, B Chen, K Alaerts, JS Anderson, M Assaf, ... Scientific data 4 (1), 1-15, 2017 | 532 | 2017 |
Imaging human connectomes at the macroscale RC Craddock, S Jbabdi, CG Yan, JT Vogelstein, FX Castellanos, ... Nature methods 10 (6), 524-539, 2013 | 502 | 2013 |
Disease state prediction from resting state functional connectivity RC Craddock, PE Holtzheimer III, XP Hu, HS Mayberg Magnetic Resonance in Medicine: An Official Journal of the International …, 2009 | 492 | 2009 |
An open resource for transdiagnostic research in pediatric mental health and learning disorders LM Alexander, J Escalera, L Ai, C Andreotti, K Febre, A Mangone, ... Scientific data 4 (1), 1-26, 2017 | 458 | 2017 |
Predicting brain-age from multimodal imaging data captures cognitive impairment F Liem, G Varoquaux, J Kynast, F Beyer, SK Masouleh, JM Huntenburg, ... Neuroimage 148, 179-188, 2017 | 449 | 2017 |
The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives C Craddock, Y Benhajali, C Chu, F Chouinard, A Evans, A Jakab, ... Frontiers in Neuroinformatics 7 (27), 5, 2013 | 447 | 2013 |
An open science resource for establishing reliability and reproducibility in functional connectomics XN Zuo, JS Anderson, P Bellec, RM Birn, BB Biswal, J Blautzik, J Breitner, ... Scientific data 1 (1), 1-13, 2014 | 421 | 2014 |
Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes CG Yan, RC Craddock, XN Zuo, YF Zang, MP Milham Neuroimage 80, 246-262, 2013 | 409 | 2013 |
Clinical applications of the functional connectome FX Castellanos, A Di Martino, RC Craddock, AD Mehta, MP Milham Neuroimage 80, 527-540, 2013 | 355 | 2013 |
Unraveling the miswired connectome: a developmental perspective A Di Martino, DA Fair, C Kelly, TD Satterthwaite, FX Castellanos, ... Neuron 83 (6), 1335-1353, 2014 | 346 | 2014 |
Quantitative assessment of structural image quality AFG Rosen, DR Roalf, K Ruparel, J Blake, K Seelaus, LP Villa, R Ciric, ... Neuroimage 169, 407-418, 2018 | 315 | 2018 |