Javier Gonzalez-Castillo, Ph.D.

Affiliations: 
National Institute of Mental Health, Bethesda, MD, United States 
Area:
fMRI methods
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"Javier Gonzalez-Castillo"
Mean distance: 17.02 (cluster 29)
 
SNBCP

Parents

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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

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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

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Daniel Handwerker collaborator
Francisco Pereira collaborator
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Publications

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Gonzalez-Castillo J, Kam JWY, Hoy CW, et al. (2021) How to Interpret Resting-State fMRI: Ask Your Participants. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 41: 1130-1141
Handwerker DA, Ianni G, Gutierrez B, et al. (2020) Theta-burst TMS to the posterior superior temporal sulcus decreases resting-state fMRI connectivity across the face processing network. Network Neuroscience (Cambridge, Mass.). 4: 746-760
Gonzalez-Castillo J, Caballero-Gaudes C, Topolski N, et al. (2019) Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest. Neuroimage. 116129
Caballero-Gaudes C, Moia S, Panwar P, et al. (2019) A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping. Neuroimage. 202: 116081
Chai Y, Handwerker DA, Marrett S, et al. (2019) Visual temporal frequency preference shows a distinct cortical architecture using fMRI. Neuroimage
Xie H, Gonzalez-Castillo J, Handwerker DA, et al. (2019) Time-varying whole-brain functional network connectivity coupled to task engagement. Network Neuroscience (Cambridge, Mass.). 3: 49-66
Xie H, Zheng CY, Handwerker DA, et al. (2018) Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information. Neuroimage
Saggar M, Sporns O, Gonzalez-Castillo J, et al. (2018) Towards a new approach to reveal dynamical organization of the brain using topological data analysis. Nature Communications. 9: 1399
Torrisi S, Gorka AX, Gonzalez-Castillo J, et al. (2018) Extended amygdala connectivity changes during sustained shock anticipation. Translational Psychiatry. 8: 33
Huber L, Handwerker DA, Jangraw DC, et al. (2017) High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1. Neuron
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