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CVRmap-a complete cerebrovascular reactivity mapping post-processing BIDS toolbox.

A Rovai1,2, V Lolli3,4, N Trotta5,6

  • 1Université Libre de Bruxelles (ULB), ULB Neuroscience Institute (UNI), Laboratoire de Neuroanatomie et de Neuroimagerie translationnelles, Université libre de Bruxelles, Brussels, Belgium. antonin.rovai@hubruxelles.be.

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Summary
This summary is machine-generated.

We developed CVRmap, an open-source software to automatically calculate Cerebrovascular Reactivity (CVR) maps. This tool simplifies complex fMRI data processing for brain disease research.

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Area of Science:

  • Neuroimaging
  • Medical Physics
  • Computational Neuroscience

Background:

  • Cerebrovascular Reactivity (CVR) assesses cerebral blood vessel function.
  • CVR estimation using functional Magnetic Resonance Imaging (fMRI) is crucial for diagnosing brain diseases.
  • Specialized data processing is required for accurate CVR map computation.

Purpose of the Study:

  • To introduce CVRmap, an open-source software solution.
  • To automate the computation of Cerebrovascular Reactivity (CVR) maps.
  • To facilitate CVR analysis in clinical research and brain disease studies.

Main Methods:

  • Development of an open-source software toolbox named CVRmap.
  • Implementation of automated algorithms for CVR map calculation.
  • Adherence to Brain Imaging Data Structure (BIDS) standards for data organization.

Main Results:

  • CVRmap successfully automates the computation of CVR maps.
  • The software provides a standardized and efficient workflow for fMRI data analysis.
  • Compliance with BIDS ensures data interoperability and reproducibility.

Conclusions:

  • CVRmap offers a valuable tool for researchers studying brain vasculature.
  • Automated CVR map computation enhances the accessibility of this important biomarker.
  • The software supports standardized neuroimaging data processing for clinical applications.