Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN


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Date

2023

Publication Type

Journal Article

ETH Bibliography

yes

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Abstract

Neuroimaging research requires sophisticated tools for analyzing complex data, but efficiently leveraging these tools can be a major challenge, especially on large datasets. CBRAIN is a web-based platform designed to simplify the use and accessibility of neuroimaging research tools for large-scale, collaborative studies. In this paper, we describe how CBRAIN’s unique features and infrastructure were leveraged to integrate TAPAS PhysIO, an open-source MATLAB toolbox for physiological noise modeling in fMRI data. This case study highlights three key elements of CBRAIN’s infrastructure that enable streamlined, multimodal tool integration: a user-friendly GUI, a Brain Imaging Data Structure (BIDS) data-entry schema, and convenient in-browser visualization of results. By incorporating PhysIO into CBRAIN, we achieved significant improvements in the speed, ease of use, and scalability of physiological preprocessing. Researchers now have access to a uniform and intuitive interface for analyzing data, which facilitates remote and collaborative evaluation of results. With these improvements, CBRAIN aims to become an essential open-science tool for integrative neuroimaging research, supporting FAIR principles and enabling efficient workflows for complex analysis pipelines.

Publication status

published

Editor

Book title

Volume

17

Pages / Article No.

1251023

Publisher

Frontiers Media

Event

Edition / version

Methods

Software

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Date created

Subject

neuroimaging; software; fMRI; brain imaging data structure (BIDS); physiological noise correction; high performance computing (HPC)

Organisational unit

03955 - Stephan, Klaas E. / Stephan, Klaas E. check_circle

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