Craddock, R. Cameron

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

Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., et al. (2016) · Scientific Data

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 1,775

A whole brain fMRI atlas generated via spatially constrained spectral clustering

Craddock, R. C., James, G. A., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2012) · Human Brain Mapping

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 1,636

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

Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 1,461

Subcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression

Lozano, A. M., Mayberg, H. S., Giacobbe, P., Hamani, C., Craddock, R. C., & Kennedy, S. H. (2008) · Biological Psychiatry

Deep Brain Stimulation and Movement DisordersObsessive-Compulsive Spectrum Disorders

Cited by 1,024

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

Heinsfeld, A. S., Franco, A. R., Craddock, R. C., Buchweitz, A., & Meneguzzi, F. (2018) · NeuroImage: Clinical

Autism Spectrum Disorder ResearchFunctional Brain Connectivity Studies

Cited by 1,016

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

Abraham, A., Milham, M. P., Di Martino, A., Craddock, R. C., Samaras, D., Thirion, B., & Varoquaux, G. (2017) · NeuroImage

Functional Brain Connectivity StudiesAutism Spectrum Disorder Research

Cited by 701

Toward a Neuroimaging Treatment Selection Biomarker for Major Depressive Disorder

McGrath, C. L., Kelley, M. E., Holtzheimer, P. E., Dunlop, B. W., Craighead, W. E., Franco, A. R., Craddock, R. C., & Mayberg, H. S. (2013) · JAMA Psychiatry

Treatment of Major DepressionAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 561

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

Eierud, C., Craddock, R. C., Fletcher, S., Aulakh, M., King-Casas, B., Kuehl, D., & LaConte, S. M. (2014) · NeuroImage: Clinical

Traumatic Brain Injury ResearchAdvanced Neuroimaging Techniques and Applications

Cited by 524

Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes

Yan, C.-G., Craddock, R. C., Zuo, X.-N., Zang, Y.-F., & Milham, M. P. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 440

Imaging human connectomes at the macroscale

Craddock, R. C., Jbabdi, S., Yan, C.-G., Vogelstein, J. T., Castellanos, F. X., Di Martino, A., Kelly, C., Heberlein, K., Colcombe, S., & Milham, M. P. (2013) · Nature Methods

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 419

Disease state prediction from resting state functional connectivity

Craddock, R. C., Holtzheimer, P. E., Hu, X. P., & Mayberg, H. S. (2009) · Magnetic Resonance in Medicine

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 411

Clinical applications of the functional connectome

Castellanos, F. X., Di Martino, A., Craddock, R. C., Mehta, A. D., & Milham, M. P. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 312

BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Gorgolewski, K. J., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M. M., Churchill, N. W., Cohen, A. L., Craddock, R. C., Devenyi, G. A., et al. (2017) · PLOS Computational Biology

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 311

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

Liew, S.-L., Anglin, J. M., Banks, N. W., Sondag, M., Ito, K. L., Kim, H., Chan, J., Ito, J., Jung, C., Khoshab, N., et al. (2018) · Scientific Data

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 283

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

Liew, S.-L., Anglin, J. M., Banks, N. W., Sondag, M., Ito, K. L., Kim, H., Chan, J., Ito, J., Jung, C., Khoshab, N., et al. (2017) · Scientific Data

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 283

Neurophysiological Investigation of Spontaneous Correlated and Anticorrelated Fluctuations of the BOLD Signal

Keller, C. J., Bickel, S., Honey, C. J., Groppe, D. M., Entz, L., Craddock, R. C., Lado, F. A., Kelly, C., Milham, M., & Mehta, A. D. (2013) · The Journal of Neuroscience

Functional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Cited by 245

Learning and comparing functional connectomes across subjects

Varoquaux, G., & Craddock, R. C. (2013) · NeuroImage

Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 233

Identifying illness parameters in fatiguing syndromes using classical projection methods

Broderick, G., Craddock, R. C., Whistler, T., Taylor, R., Klimas, N., & Unger, E. R. (2006) · Pharmacogenomics

Fibromyalgia and Chronic Fatigue Syndrome ResearchLong-Term Effects of COVID-19

Cited by 51