John D. Van Horn

Sort by:

Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation

Jana Schaich Borg, Catherine Hynes, John D. Van Horn, Scott T. Grafton, Walter Sinnott-Armstrong
Journal of Cognitive Neuroscience
2006

The traditional philosophical doctrines of Consequentialism, Doing and Allowing, and Double Effect prescribe that moral judgments and decisions should be based on consequences, action (as opposed to… (More)

Pushing the limits of <ce:italic>in vivo</ce:italic> diffusion MRI for the Human Connectome Project

Kawin Setsompop, R. Kimmlingen, +21 authors Lawrence L. Wald
NeuroImage
2013

Perhaps more than any other "-omics" endeavor, the accuracy and level of detail obtained from mapping the major connection pathways in the living human brain with diffusion MRI depend on the… (More)

Neural substrates of visuomotor learning based on improved feedback control and prediction

Scott T. Grafton, Paul J. Schmitt, John D. Van Horn, Jörn Diedrichsen
NeuroImage
2008

Motor skills emerge from learning feedforward commands as well as improvements in feedback control. These two components of learning were investigated in a compensatory visuomotor tracking task on a… (More)

Efficient, Distributed and Interactive Neuroimaging Data Analysis Using the LONI Pipeline

Ivo D. Dinov, John D. Van Horn, +7 authors Arthur W. Toga
Front. Neuroinform.
2009

The LONI Pipeline is a graphical environment for construction, validation and execution of advanced neuroimaging data analysis protocols (Rex et al., 2003). It enables automated data format… (More)

The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis

Jesse A. Brown, Jeffrey D. Rudie, Anita Bandrowski, John D. Van Horn, Susan Y. Bookheimer
Front. Neuroinform.
2012

Brain connectomics research has rapidly expanded using functional MRI (fMRI) and diffusion-weighted MRI (dwMRI). A common product of these varied analyses is a connectivity matrix (CM). A CM stores… (More)

Resting-state fMRI can reliably map neural networks in children

Moriah E. Thomason, Emily L. Dennis, +10 authors Ian H. Gotlib
NeuroImage
2011

Resting-state MRI (rs-fMRI) is a powerful procedure for studying whole-brain neural connectivity. In this study we provide the first empirical evidence of the longitudinal reliability of rs-fMRI in… (More)

Is it time to re-prioritize neuroimaging databases and digital repositories?

The development of in vivo brain imaging has lead to the collection of large quantities of digital information. In any individual research article, several tens of gigabytes-worth of data may be… (More)

Sharing neuroimaging studies of human cognition

John D. Van Horn, Scott T. Grafton, Daniel Rockmore, Michael S. Gazzaniga
Nature Neuroscience
2004

After more than a decade of collecting large neuroimaging datasets, neuroscientists are now working to archive these studies in publicly accessible databases. In particular, the fMRI Data Center… (More)

Why share data? Lessons learned from the fMRIDC

Neuroimaging and the discipline of cognitive neuroscience have grown together in lock-step with each pushing the other toward an improved ability to explore and examine brain function and form.… (More)

Alcohol-induced suppression of BOLD activity during goal-directed visuomotor performance

John D. Van Horn, Melana E. Yanos, Paul J. Schmitt, Scott T. Grafton
NeuroImage
2006

The neurophysiological influence of alcohol produces deficits of many cognitive functions, including executive and motor control processes. This study examined the acute effects of alcohol in the… (More)

Filter Results:

Publication Year

Publication Type

Co-author

Journals and Conferences