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, Victoria Gobo, Shruti Japee, Eli Merriam, Benjamin Osborne, Peter Bandettini, Tina Liu. Eye metrics are a marker of visual conscious awareness and neural processing in cerebral blindness. (2025) BioRXiv
Lasse Knudsen, Luca Vizioli, Federico De Martino, Lonike K. Faes, Daniel Handwerker, Steen Moeller, Peter Bandettini, Laurentius Huber. NORDIC denoising on VASO data. (2025) Frontiers in Neuroscience 18:1499762
Sharif Kronemer, Victoria Gobo, Catherine Walsh, Joshua Teves, Diana Burk, Somayeh Shahsavarani, Javier Gonzalez-Castillo, Peter Bandettini. Cross-species real time detection of trends in pupil size fluctuation. (2025) Behavior Reserach Methods 57 (9)
Peter Bandettini and Denis Le Bihan. On the Origin of fMRI Species. (2024) Journal of Magnetic Resonance Imaging
Chung (Kenny) Kan, RĂ¼diger Stirnberg, Marcela Montequin, Omer Faruk Gulban, Tyler Morgan, Peter Bandettini, Laurentius Huber. T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data. (2024) BioRXiv

Related NIMH Groups