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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. 

Please visit our GitHub to explore our publicly available code. 

  • FIM Presentations

    All presentations put on by the Section on Functional Imaging Methods.

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  • Conferences

    A list of all conferences hosted by the SFIM or the FMRIF.

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  • FIM Publications

    All of the publications put out by the Section on Functional Imaging Methods.

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  • Research Projects

    All ongoing research projects at the Section on Functional Imaging Methods.

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Recent Publications

Elizabeth Wat | David Jangraw | Emily Finn | Peter Bandettini | Jonathan Preston | Nicole Landi | Fumiko Hoeft | Stephen Frost | Airey Lau | Gang Chen | Kenneth Pugh | Peter Molfese
Neuropsychologia | 2024
Eneko Uruñuela | Javier Gonzalez-Castillo | Charles Zheng | Peter Bandettini | Cesar Caballero-Gaudes
Medical Image Analysis | 2024
Javier Gonzalez-Castillo | Isabel Fernandez | Ka Lam | Daniel Handwerker | Francisco Pereira | Peter Bandettini
Frontiers in Human Neuroscience | 2023
Sharif Kronemer | Micah Holness | Tyler Morgan | Joshua Teves | Javier Gonzalez-Castillo | Daniel Handwerker | Peter Bandettini
BioRxiv | 2023
Joshua Faskowitz | Daniel Moyer | Daniel Handwerker | Javier Gonzalez-Castillo | Peter Bandettini | Saad Jbabdi | Richard Betzel
BioRxiv | 2023
Sang-Han Choi | Geun Im | Sangcheon Choi | Xin Yu | Peter Bandettini | Ravi Menon | Seong-Gi Kim
2023
Cambria Revsine | Javier Gonzalez-Castillo | Elisha Merriam | Peter Bandettini | Fernando Ramírez
BioRxiv | 2023
Samika Kumar | Anat Arzi | Corinne Bareham | Javier Gonzalez-Castillo | Isabel Fernandez | Enzo Tagliazucchi | Pedro Mediano | Peter Bandettini | Tristan Bekinschtein
BioRxiv | 2023
Seong-Gi Kim | Peter Bandettini
Functional Neuroradiology | 2023
Somayeh Shahsavarani | David Thibodeaux | Weihao Xu | Sharon Kim | Fatema Lodgher | Chinwendu Nwokeabia | Morgan Cambareri | Alexis Yagielski | Hanzhi Zhao | Daniel Handwerker | Javier Gonzalez-Castillo | Peter Bandettini | Elizabeth Hillman
Cell Reports | 2023
Paul Taylor | Richard Reynolds | Vince Calhoun | Javier Gonzalez-Castillo | Daniel Handwerker | Peter Bandettini | Amanda Mejia | Gang Chen
NeuroImage | 2023
David Jangraw | Emily Finn | Peter Bandettini | Nicole Landi | Haorui Sun | Fumiko Hoeft | Gang Chen | Kenneth Pugh | Peter Molfese
NeuroImage | 2023

Get to Know the Team

The Section on Functional Imaging Methods is a team of physicists, psychologists, engineers, neuroscientists, and computer scientists committed to advancing the field of fMRI by developing of improved fMRI data acquisition and processing methodology, shedding light on the relationship between neuronal activity and hemodynamic changes, characterizing the sources of artifact and useful information in the signal, and bridging the gap between basic development and research and clinical applications.

Peter A. Bandettini, Ph.D.
Chief
Dorian D. Van Tassell
Lab Manager
Daniel A Handwerker, Ph.D.
Staff Scientist
Javier Gonzalez-Castillo, Ph.D.
Staff Scientist
Catherine Walsh, Ph.D.
Scientific Programmer
Burak Akin, Ph.D.
Postdoctoral Fellow
Fernando Ramírez, Ph.D.
Postdoctoral Fellow
Sharif Kronemer, Ph.D.
Postdoctoral Fellow
Josh Faskowitz, Ph.D.
Postdoc
Marly Rubin
Postbac IRTA
Tori Gobo
Postbac IRTA
Isabel Gephart
Postbac IRTA
Josh Dean
Postbac IRTA
Samika Kumar
Graduate Student

Recent Projects

Consciousness, a perennial subject of fascination, has witnessed a surge in scientific exploration over recent decades.

Book chapters, articles, and other resources on the history, acquisition and analyses of fMRI data. 

We are working to improve the spatial resolution and specificity of fMRI so that it is possible to distinguish neural activity changes across cortical layers.

A common assumption in most resting state fMRI (rsfMRI) studies is temporal stationarity. However, recent work has shown that rsfMRI connectivity patterns change considerably across short periods of time, even within the length of a typical rest scan.