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RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI.

Grant Wallace1, Stephen Polcyn1, Paula P Brooks1

  • 1Princeton Neuroscience Institute, Princeton University, Princeton, NJ, United States.

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Summary
This summary is machine-generated.

RT-Cloud is a new open-source software package making real-time fMRI neurofeedback more accessible. This cloud-based tool simplifies experiments, promoting open science in neuropsychiatric research.

Keywords:
Cloud-computingNeurofeedbackSoftware-as-a-service

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Area of Science:

  • Neuroscience
  • Computational Psychiatry
  • Medical Imaging

Background:

  • Real-time fMRI (RT-fMRI) neurofeedback shows promise for neuropsychiatric disorders.
  • Current limitations include high computing demands, complex setup, and lack of standardization.

Purpose of the Study:

  • To introduce RT-Cloud, a flexible, cloud-based, open-source Python package for RT-fMRI experiments.
  • To address barriers hindering the widespread adoption of RT-fMRI.

Main Methods:

  • Developed RT-Cloud, a Python software package utilizing cloud computing.
  • Integrated RT-Cloud with open standards like Brain Imaging Data Structure (BIDS) and OpenNeuro.
  • Leveraged cloud computing to automate installation, configuration, and remote maintenance.

Main Results:

  • RT-Cloud facilitates standardized data formats and adaptable processing streams.
  • Cloud computing eliminates the need for on-premise high-performance computing.
  • Scalability of cloud computing enables real-time deployment of complex analyses.

Conclusions:

  • RT-Cloud enhances open science in RT-fMRI research and applications.
  • The software simplifies RT-fMRI experiment execution, promoting wider accessibility.
  • Future development aims to further deploy RT-Cloud in research and clinical settings.