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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 undetermined relationship between neuronal activity and hemodynamic changes.

Currently our work 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

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
Rolinski R | You X | Gonzalez-Castillo J | Norato G | Reynolds RC | Inati SK | Theodore WH
Human Brain Mapping | 2020
Gonzalez-Castillo J | Ramot M | Momenan R
Frontiers in Human Neuroscience | 2020
Gonzalez-Castillo J | Caballero-Gaudes C | Topolski N | Handwerker DA | Pereira F | Bandettini PA
NeuroImage | 2019
Yuhui Chai | Daniel Handwerker | Sean Marrett | Javier Gonzalez-Castillo | EP Merriam | A Hall | Peter Molfese | Peter Bandettini
NeuroImage | 2019
Cesar Caballero-Gaudes | Stephano Moia | Puja Panwar | Peter Bandettini | Javier Gonzalez-Castillo
NeuroImage | 2019
Xie H | Zheng CY | Daniel Handwerker | Peter Bandettini | Vince Calhoun | Mitra S
NeuroImage | 2019
Yuhui Chai | Jingwei Sheng | Peter Bandettini | Jia-Hong Gao
Human Brain Mapping | 2018
M. Saggar | O. Sporns | J. Gonzalez-Castillo | P.A. Bandettini | G. Carlsson | G. Glover | A.L. Reiss
Nature Communications | 2018
Emily Finn | Philip Corlett | Gang Chen | Peter Bandettini | Todd Constable
Nature Communications | 2018

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
Javier Gonzalez-Castillo, Ph.D.
Staff Scientist
Daniel A Handwerker, Ph.D.
Staff Scientist
Joshua Teves
Programmer
Andrew Morgan, Ph.D.
Postdoctoral Fellow
Burak Akin, Ph.D.
Postdoctoral Fellow
Yuhui Chai, Ph.D.
Postdoctoral Fellow
Bahar Shahsavarani, Ph.D.
Postdoctoral Fellow
Micah Holness
Postbac IRTA
Arman Khojandi
Postbac IRTA
Isabel Fernandez
Postbac IRTA
Ryesa Mansoor
Postbac IRTA
Samika Kumar
Graduate Student

Recent Projects

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.

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.