RT-Cloud
RT-Cloud provides a cloud-based framework for performing real-time functional magnetic resonance imaging (RT-fMRI) neurofeedback processing and scalable real-time multivariate analyses.
Key Features:
- Cloud-Based Infrastructure: Leverages cloud computing to provide scalable compute resources for real-time fMRI processing and experiment execution.
- Python package: Implements the framework as a Python package for deployment and analysis.
- Standardization and Flexibility: Employs standardized data formats and adaptable processing streams, integrating the Brain Imaging Data Structure (BIDS) and the OpenNeuro database.
- Scalability for Complex Analyses: Supports computationally demanding multivariate analyses in real time.
Scientific Applications:
- Neurofeedback for neuropsychiatric disorders: Enables RT-fMRI neurofeedback protocols applied to the treatment and investigation of neuropsychiatric disorders.
- Basic and translational neuroscience: Facilitates RT-fMRI experiments to study brain function and to develop therapeutic interventions via neurofeedback.
Methodology:
Integrates cloud computing with standardized data formats (BIDS) and the OpenNeuro database, using adaptable processing streams to execute real-time multivariate fMRI analyses within a Python package.
Topics
Details
- License:
- Apache-2.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, JavaScript
- Added:
- 8/17/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Wallace G, Polcyn S, Brooks PP, Mennen AC, Zhao K, Scotti PS, Michelmann S, Li K, Turk-Browne NB, Cohen JD, Norman KA. RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. NeuroImage. 2022;257:119295. doi:10.1016/j.neuroimage.2022.119295. PMID:35580808. PMCID:PMC9494277.
PMID: 35580808
PMCID: PMC9494277
Funding: - National Institute of Mental Health: RF1 MH125318
- Deutsche Forschungsgemeinschaft: 437219953