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 work roughly falls into four pillars:

Paradigm Design and Processing Methodology
  • Separate noise from signal
  • Allow precise comparisons across sessions, subjects, populations and scanners
  • Identify similarities and differences in subjects
Basic Research and Clinical Applications
  • Biomarker development
  • Targets for neuromodulation
  • Presurgical mapping
  • Neurofeedback platform
  • Mechanisms of brain function
MRI Pulse Sequences and Hardware
  • Speed
  • Resolution
  • Sensitivity
  • Specificity
  • Robustness
  • Quantitation
  • New Contrasts
Interpretation of Contrast Mechanisms and Physiology
  • Identity salient temporal and spatial structure
  • Relate signal to neuronal activity and metabolism
  • Relate to signal non-neuronal physiology


To learn more about what we do in SFIM, please check out our featured projects, recent publications, and more, below.


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