Section on Functional Imaging Methods

The Section on Functional Imaging Methods is within the Laboratory of Brain and Cognition and the National Institute of Mental Health. Functional MRI is a technique that utilizes time series collection of rapidly-obtained magnetic resonance images that are sensitive to localized brain activation induced hemodynamic changes. The utility of Functional MRI (fMRI) has been increasing since it was discovered in 1991. The limits of the technique (spatial and temporal resolution, interpretability of the signal, and applications) are determined by imaging technology, experimental and processing methodology, and the variable and incompletely-determined relationship between neuronal activity and hemodynamic changes.

The work of SFIM is focused on pushing spatial and temporal resolution of fMRI as well as increasing its interpretability and ultimately the utility. This research includes understanding and using resting state fluctuations, understanding and modeling the dynamics of the fMRI signal changes, advancing pattern - effect fMRI or fMRI decoding, and advancing high resolution and high field fMRI.

Recent Publications

Sharif Kronemer, Micah Holness, Tyler Morgan, Joshua Teves, Javier Gonzalez-Castillo, Daniel Handwerker, Peter Bandettini. Visual imagery vividness correlates with afterimage brightness and sharpness. (2024) Neuroscience of Consciousness 2024(1)
Sang-Han Choi, Geun Im, Sangcheon Choi, Xin Yu, Peter Bandettini, Ravi Menon, Seong-Gi Kim. No Replication of Direct Neuronal Activity-related (DIANA) fMRI in Anesthetized Mice. (2024) Science Advances 10(13)
Elizabeth Wat, David Jangraw, Emily Finn, Peter Bandettini, Jonathan Preston, Nicole Landi, Fumiko Hoeft, Stephen Frost, Airey Lau, Gang Chen, Kenneth Pugh, Peter Molfese. Will you read how I will read? Naturalistic fMRI predictors of emergent reading. (2024) Neuropsychologia 193
Eneko Uruñuela, Javier Gonzalez-Castillo, Charles Zheng, Peter Bandettini, Cesar Caballero-Gaudes. Whole-brain multivariate hemodynamic deconvolution for multi-echo fMRI with stability selection. (2024) Medical Image Analysis 92
Cambria Revsine, Javier Gonzalez-Castillo, Elisha Merriam, Peter Bandettini, Fernando Ramirez. A unifying model for discordant and concordant results in human neuroimaging studies of facial viewpoint selectivity. (2024) Journal of Neuroscience 44(17)

Related NIMH Groups