Javier Gonzalez-Castillo, Ph.D.
Affiliations: | National Institute of Mental Health, Bethesda, MD, United States |
Area:
fMRI methodsGoogle:
"Javier Gonzalez-Castillo"Mean distance: 17.02 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Thomas M. Talavage | grad student | 2009 | Purdue | |
| (Application of functional magnetic resonance imaging to the study of language.) | ||||
| David Kemmerrer | grad student | 2006-2009 | ||
| Peter A. Bandettini | post-doc | 2009-2014 | ||
Children
Sign in to add trainee| Meghan E. Robinson | research assistant | 2014-2014 | NIMH |
| Colin W. Hoy | research assistant | 2013-2015 | NIMH |
| Hua Xie | research assistant | 2017-2017 | Texas Tech |
Collaborators
Sign in to add collaborator| Daniel Handwerker | collaborator | ||
| Francisco Pereira | collaborator |
BETA: Related publications
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Publications
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| Kronemer SI, Holness M, Morgan AT, et al. (2023) Visual imagery vividness correlates with afterimage brightness and sharpness. Biorxiv : the Preprint Server For Biology |
| Uruñuela E, Gonzalez-Castillo J, Zheng C, et al. (2023) Whole-brain multivariate hemodynamic deconvolution for functional MRI with stability selection. Medical Image Analysis. 91: 103010 |
| Gonzalez-Castillo J, Fernandez IS, Lam KC, et al. (2023) Manifold learning for fMRI time-varying functional connectivity. Frontiers in Human Neuroscience. 17: 1134012 |
| Shahsavarani S, Thibodeaux DN, Xu W, et al. (2023) Cortex-wide neural dynamics predict behavioral states and provide a neural basis for resting-state dynamic functional connectivity. Cell Reports. 42: 112527 |
| Taylor PA, Reynolds RC, Calhoun V, et al. (2023) Highlight results, don't hide them: Enhance interpretation, reduce biases and improve reproducibility. Neuroimage. 274: 120138 |
| Teves JB, Gonzalez-Castillo J, Holness M, et al. (2023) The art and science of using quality control to understand and improve fMRI data. Frontiers in Neuroscience. 17: 1100544 |
| Revsine C, Gonzalez-Castillo J, Merriam EP, et al. (2023) A unifying model for discordant and concordant results in human neuroimaging studies of facial viewpoint selectivity. Biorxiv : the Preprint Server For Biology |
| Gonzalez-Castillo J, Fernandez I, Lam KC, et al. (2023) Manifold Learning for fMRI time-varying FC. Biorxiv : the Preprint Server For Biology |
| Bandettini PA, Gonzalez-Castillo J, Handwerker D, et al. (2022) The challenge of BWAs: Unknown unknowns in feature space and variance. Med (New York, N.Y.). 3: 526-531 |
| Gonzalez-Castillo J, Fernandez IS, Handwerker DA, et al. (2022) Ultra-slow fMRI fluctuations in the fourth ventricle as a marker of drowsiness. Neuroimage. 119424 |