Peter Bandettini
NIMH
Dr. Bandettini is Chief of the Section on Functional Imaging Methods in the Laboratory of Brain and Cognition of the Intramural Research Program, National Institute of Mental Health, National Institutes of Health.
He is also the director of the Functional MRI Core Facility, which provides functional MRI support to NIMH, NINDS, and other NIH institutes.
Recent Publications
In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants "rest" matters
Gonzalez-Castillo J., Spurney M., Lam K.C., Gephart I. S., Pereira F., Handwerker D. A., Kam J. W. Y., Bandettini P. - in press at Nature Communications, 2026
Will you read how I read? Naturalistic fMRI predictors of early reading
Wat E.K., Jangraw D.C., Finn E.S., Bandettini P.A., Preston J.L., Landi N., Hoeft F., Frost S.J., Lau A., Chen G., Pugh K.R., Molfese P.J. Neuropsychologia, 2024
Inter-subject correlation during long narratives reveals widespread neural correlates of reading ability
Jangraw D.C., Finn E.S., Bandettini P.A., Landi N., Sun H., Hoeft F., Chen G., Pugh K.R., Molfese P.J. NeuroImage, 282, 120390, 2023
Manifold learning for fMRI time-varying functional connectivity
"Manifold learning for fMRI time-varying functional connectivity" Gonzalez-Castillo J., Fernandez I., Lam K., Handwerker D., Pereira F., Bandettini P. Front Hum Neurosci. 2023; 17: 1134012
Different activation signatures in the primary sensorimotor and higher-level regions for haptic three-dimensional curved surface exploration
Yang J., Molfese P., Yu Y., Handwerker D., Chen G., Taylor P., Ejima Y., Wu J., Bandettini P. NeuroImage, 231, 117754, 2021
The Haskins pediatric atlas: An MRI-based pediatric template and atlas
Molfese P.J., Glen D., Mesite L., Cox R.W., Hoeft F., Frost S.J., Mencl W.E., Pugh K., Bandettini P.A. Pediatric Radiology, 51(4), 628-639, 2020
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimaging
Finn E.S., Glerean E., Khojandi A.Y., Nielson D., Molfese P.J., Handwerker D.A., Bandettini P.A. PsyArXiv, 2020
Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning
Chen G., Taylor P., Xianggui Q., Molfese P.J., Bandettini P.A., Cox R.W., Finn E.S. NeuroImage, 116474, 2020
Layer-dependent activity in human prefrontal cortex during working memory
Finn E.S., Huber L., Jangraw D.C., Molfese P.J., Bandettini P.A. Nature Neuroscience, 22(10), 1687-1695, 2019
Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex
Yu Y., Huber L., Yang J., Jangraw D.C., Handwerker D.A., Molfese P., Chen G., Ejima Y., Wu J., Bandettini P.A. Science Advances, 5, eaav9053, 2019
Visual temporal frequency preference shows a distinct cortical architecture using fMRI
Chai Y., Handwerker D.A., Marrett S., Gonzalez-Castillo J., Merriam E., Hall A., Molfese P.J., Bandettini P.A. NeuroImage, 197, 13-23, 2019
Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest
Gonzalez-Castillo J., Caballero-Gaudes C., Topolski N., Handwerker D., Pereira F. , Bandettini P. Neuroimage 15; 202: 116129. 2019
Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks
"Knowing What You Know in Brain Segmentation Using Bayesian Deep Neural Networks" McClure, P., Rho, N., Lee, J., Kaczmarzyk, J., Zheng, C., Ghosh, S., Nielson, D., Thomas, A., Bandettini, P., Pereira, F. Frontiers in Neuroinformatics, 2019
Distributed Weight Consolidation: A Brain Segmentation Case Study
"Distributed Weight Consolidation: A Brain Segmentation Case Study" McClure P., Zheng C., Kaczmarzyk J., Rogers-Lee J., Ghosh S., Nielson D., Bandettini P., Pereira F. Neural Information Processing Systems, 2018