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.

  • 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 Dupre | Taylor Salo | Zaki Ahmed | Peter Bandettini | Katherine Bottenhorn | César Caballero-Gaudes | Logan Dowdle | Javier Gonzalez-Castillo | Stephan Heunis | Prantik Kundu | Angela Laird | Ross Markello | Christopher Markiwiecz | Stefano Moia | Isla Staden | Joshua Teves | Eneko Uruñuela | Maryam Vaziri-Pashkam | Kirstie Whitaker | Daniel Handwerker
The Journal of Open Source Software | 2021
Y. Yu | L. Huber | J. Yang | M. Fukunaga | Y. Chai | D. Jangraw | G. Chen | D. Handwerker | P. Molfese | Y. Ejima | N. Sadato | J. Wu | P. Bandettini
Neuroimage | 2021
G. Chen | P. Taylor | J. Stoddard | R. Cox | P. Bandettini | L Pessoa
bioRxiv | 2021
Javier Gonzalez-Castillo | Isabel Fernandez | Daniel Handwerker | Peter Bandettini
D. Van Essen | S. Kastner | P. Bandettini | Leslie Ungerleider
Proceedings of the National Academy of Sciences | 2021
Y. Yang | L. Huber | Y. Yu | P. Bandettini
Neuroscience and Biobehavioral Reviews | 2021
Y. Chai | T. Liu | S. Marrett | L. Li | A. Khojandi | D.A. Handwerker | A. Alink | L. Muckli | P. Bandettini
Progress in Neurobiology | 2021
Y. Chai | L. Li | Y. Wang | B. Poser | J. Duyn | P. Bandettini
NeuroImage | 2021
Peter Bandettini | Laurentius Huber | Emily Finn
Current Opinion in Behavioral Neurosciences | 2021
Javier Gonzalez-Castillo | Julia Kam | Colin Hoy | Peter Bandettini
Journal of Neuroscience | 2021
Handwerker DA | Ianni G | Gutierrez B | Roopchansingh V | Gonzalez-Castillo J | Chen G | Bandettini PA | Ungerleider LG | Pitcher D
Network Neuroscience | 2020

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.
Dorian D. Van Tassell
Lab Manager
Daniel A Handwerker, Ph.D.
Staff Scientist
Javier Gonzalez-Castillo, Ph.D.
Staff Scientist
Joshua Teves
Josh Faskowitz, Ph.D.
Bahar Shahsavarani, Ph.D.
Postdoctoral Fellow
Andrew Morgan, Ph.D.
Postdoctoral Fellow
Burak Akin, Ph.D.
Postdoctoral Fellow
Fernando Ramírez, Ph.D.
Postdoctoral Fellow
Tori Gobo
Postbac IRTA
Isabel Gephart
Postbac IRTA
Micah Holness
Postbac IRTA

Recent Projects

Several lab members contribute to the tedana project, a community effort to build multi-echo analysis software. See it on GitHub here.

Using multimodal neuroimaging to better understand human cognitive functions. 

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.