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
  • Identify 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, recent news, and more, below.


Recent Publications

Sharif Kronemer, Burak Akin, A. Tyler Morgan, Laurentius Huber, Paul A. Taylor, Javier Gonzalez-Castillo, Daniel A. Handwerker, Peter A. Bandettini. The human brain mechanisms of afterimages: From networks to cortical layers. (2025) BioRXiv
Yoichi Miyawaki, Kenshu Koiso, Daniel A. Handwerker, Javier Gonzalez-Castillo, Laurentius Huber, Arman Khojandi, Yuhui Chai, Daniel Glen, Peter A. Bandettini. Rapid decoding of neural information representation from ultra-fast functional magnetic resonance imaging signals. (2025) BioRXiv
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. (2025) Magnetic Resonance in Medicine 94 (2)
Sharif Kronemer, Javier Gonzalez-Castillo, Peter Bandettini. Sleuthing subjectivity: A review of covert measures of consciousness. (2025) Nature Reviews Neuroscience

Recent SFIM News

Related NIMH Groups