User profiles for Cameron Craddock
Cameron CraddockThe Neuro Bureau Verified email at meta.com Cited by 19330 |
[HTML][HTML] The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry
The National Institute of Mental Health strategic plan for advancing psychiatric neuroscience
calls for an acceleration of discovery and the delineation of developmental trajectories for …
calls for an acceleration of discovery and the delineation of developmental trajectories for …
[HTML][HTML] The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives
Methods Four teams are currently participating in the preprocessing initiative, each one using
different toolsets and preprocessing strategies (fig. 1). Preprocessed data, derivatives, and …
different toolsets and preprocessing strategies (fig. 1). Preprocessed data, derivatives, and …
[HTML][HTML] Optimizing real time fMRI neurofeedback for therapeutic discovery and development
While reducing the burden of brain disorders remains a top priority of organizations like the
World Health Organization and National Institutes of Health, the development of novel, safe …
World Health Organization and National Institutes of Health, the development of novel, safe …
[HTML][HTML] Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac)
C Craddock, S Sikka, B Cheung, R Khanuja… - Front …, 2013 - frontiersin.org
Methods C-PAC has been implemented in Python using the Nipype pipelining library. Nipype
provides C-PAC with mechanisms to automatically detect and exploit parallelism present …
provides C-PAC with mechanisms to automatically detect and exploit parallelism present …
Moving beyond processing and analysis-related variation in neuroscience
When fields lack consensus standards and ground truths for their analytic methods,
reproducibility can be more of an ideal than a reality. Such has been the case for functional …
reproducibility can be more of an ideal than a reality. Such has been the case for functional …
The Preprocessed Connectomes Project Quality Assessment Protocol-a resource for measuring the quality of MRI data
Background: Although several measures have been proposed for assessing the quality of
structural and fMRI data, there is no clear guidance on which of the measures are the best …
structural and fMRI data, there is no clear guidance on which of the measures are the best …
Patterns of thought: Population variation in the associations between large-scale network organisation and self-reported experiences at rest
Contemporary cognitive neuroscience recognises unconstrained processing varies across
individuals, describing variation in meaningful attributes, such as intelligence. It may also …
individuals, describing variation in meaningful attributes, such as intelligence. It may also …
[HTML][HTML] Predictors of real-time fMRI neurofeedback performance and improvement–a machine learning mega-analysis
Real-time fMRI neurofeedback is an increasingly popular neuroimaging technique that
allows an individual to gain control over his/her own brain signals, which can lead to …
allows an individual to gain control over his/her own brain signals, which can lead to …
[HTML][HTML] Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics
Replicability, the ability to replicate scientific findings, is a prerequisite for scientific
discovery and clinical utility. Troublingly, we are in the midst of a replicability crisis. A key to …
discovery and clinical utility. Troublingly, we are in the midst of a replicability crisis. A key to …
Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?
Neurofeedback training has been shown to influence behavior in healthy participants as
well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient …
well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient …