Pyneal: Open Source Real-Time fMRI Software.

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2020-01

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Abstract

Increasingly, neuroimaging researchers are exploring the use of real-time functional magnetic resonance imaging (rt-fMRI) as a way to access a participant's ongoing brain function throughout a scan. This approach presents novel and exciting experimental applications ranging from monitoring data quality in real time, to delivering neurofeedback from a region of interest, to dynamically controlling experimental flow, or interfacing with remote devices. Yet, for those interested in adopting this method, the existing software options are few and limited in application. This presents a barrier for new users, as well as hinders existing users from refining techniques and methods. Here we introduce a free, open-source rt-fMRI package, the Pyneal toolkit, designed to address this limitation. The Pyneal toolkit is python-based software that offers a flexible and user friendly framework for rt-fMRI, is compatible with all three major scanner manufacturers (GE, Siemens, Phillips), and, critically, allows fully customized analysis pipelines. In this article, we provide a detailed overview of the architecture, describe how to set up and run the Pyneal toolkit during an experimental session, offer tutorials with scan data that demonstrate how data flows through the Pyneal toolkit with example analyses, and highlight the advantages that the Pyneal toolkit offers to the neuroimaging community.

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functional magnetic resonance imaging, neurofeedback, neuroimaging methods, open source software, python (programming language), real-time, rt-fMRI

Citation

Published Version (Please cite this version)

10.3389/fnins.2020.00900

Publication Info

MacInnes, Jeff J, R Alison Adcock, Andrea Stocco, Chantel S Prat, Rajesh PN Rao and Kathryn C Dickerson (2020). Pyneal: Open Source Real-Time fMRI Software. Frontiers in neuroscience, 14. p. 900. 10.3389/fnins.2020.00900 Retrieved from https://hdl.handle.net/10161/32350.

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Scholars@Duke

Adcock

Rachel Alison Adcock

Associate Professor of Psychiatry and Behavioral Sciences

Dr. Adcock received her undergraduate degree in psychology from Emory University and her MD and PhD in Neurobiology from Yale University.  She completed her psychiatry residency training at Langley Porter Psychiatric Institute at UC-San Francisco and did neurosciences research as a postdoctoral fellow at UC-SF, the San Francisco VA Medical Center, and Stanford before joining the Duke faculty in 2007. Her work has been funded by NIDA, NIMH, NSF and Alfred P. Sloan and Klingenstein Fellowships in the Neurosciences, and the Brain & Behavior Research Foundation, and honored by NARSAD awards, the 2012 National Academy of Sciences Seymour Benzer Lectureship, and the 2015 ABAI BF Skinner Lectureship. The overall goals of her research program are to understand how brain systems for motivation support learning and to use mechanistic understanding of how behavior changes biology to meet the challenge of developing new therapies appropriate for early interventions for mental illness.

Dickerson

Kathryn C Dickerson

Assistant Professor in Psychiatry and Behavioral Sciences

Kathryn (Katie) Dickerson completed her B.A. in Brain and Cognitive Sciences from the University of Rochester in 2006. She then joined Dr. Mauricio Delgado's lab at Rutgers University-Newark earning her Ph.D. in Behavioral and Neural Sciences in 2011. She moved to Durham and joined the lab of Dr. Alison Adcock at Duke University where she was a post-doc from 2011-2016. She received a KL2 award in 2016 and was promoted to Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Duke University.

Katie is interested in how reward and motivation influence what we learn and remember. She focuses on studying the dopamine system in healthy humans and clinical populations using a combination of behavioral, functional magnetic resonance imaging (fMRI), and real-time fMRI methods. 


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