Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Parieto-occipital ERP indicators of gut mechanosensation in humans.

Nature communications·2023
Same author

Online closed-loop real-time tES-fMRI for brain modulation: A technical report.

Brain and behavior·2022
Same author

Neural substrates of substance use disorders.

Current opinion in neurology·2022
Same author

C-Reactive protein and the kynurenic acid to quinolinic acid ratio are independently associated with white matter integrity in major depressive disorder.

Brain, behavior, and immunity·2022
Same author

Psychiatric symptoms are not associated with circulating CRP concentrations after controlling for medical, social, and demographic factors.

Translational psychiatry·2022
Same author

Neural processes of inhibitory control in American Indian peoples are associated with reduced mental health problems.

Social cognitive and affective neuroscience·2022

Related Experiment Video

Updated: Sep 28, 2025

Real-Time fMRI Brain Mapping in Animals
04:05

Real-Time fMRI Brain Mapping in Animals

Published on: September 24, 2020

3.8K

A Library for fMRI Real-Time Processing Systems in Python (RTPSpy) With Comprehensive Online Noise Reduction, Fast

Masaya Misaki1, Jerzy Bodurka1, Martin P Paulus1

  • 1Laureate Institute for Brain Research, Tulsa, OK, United States.

Frontiers in Neuroscience
|April 1, 2022
PubMed
Summary

A new Python library, RTPSpy, simplifies real-time fMRI (rtfMRI) data processing. This tool enables efficient development of custom rtfMRI applications for brain imaging and neuromodulation research.

Keywords:
fast segmentationneurofeedbackonline noise reductionpython libraryreal-time fMRI

More Related Videos

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.2K
Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
08:33

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research

Published on: January 5, 2024

1.3K

Related Experiment Videos

Last Updated: Sep 28, 2025

Real-Time fMRI Brain Mapping in Animals
04:05

Real-Time fMRI Brain Mapping in Animals

Published on: September 24, 2020

3.8K
Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.2K
Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research
08:33

Author Spotlight: Methodologies and Advancements of Chronic Pain Management Research

Published on: January 5, 2024

1.3K

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Software Engineering

Background:

  • Real-time fMRI (rtfMRI) holds significant promise for brain imaging research and neuromodulation.
  • Implementation challenges in computational frameworks have limited its widespread adoption.

Purpose of the Study:

  • To introduce RTPSpy, a Python library designed to streamline the development of real-time fMRI applications.
  • To provide modular building blocks for advanced rtfMRI functionalities.

Main Methods:

  • Developed RTPSpy, a Python package with modules for online fMRI processing, anatomical image analysis, simulation, and external application interfacing.
  • Integrated external tools (FastSurfer, ANTs, AFNI) for rapid anatomical segmentation and ROI mask generation.
  • Implemented a TCP/IP socket for signal exchange and provided a boilerplate GUI for user customization.

Main Results:

  • RTPSpy offers fast, comprehensive online fMRI processing comparable to offline methods.
  • Anatomical processing and ROI mask generation are completed within minutes with quality comparable to FreeSurfer.
  • The library facilitates pipeline optimization and target signal calculation through simulation capabilities.

Conclusions:

  • RTPSpy provides an efficient and adaptable solution for developing custom real-time fMRI applications.
  • Its modular design allows for flexible customization and partial use of components.
  • The library lowers the barrier to entry for creating advanced rtfMRI systems.