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Brain-Body Analysis Special Interest Group (BBSIG)

Authors: Gerosa, Marta; Agrawal, Niket; Ciston, Anthony Buck; Fischer, Anna; Fourcade, Antonin; Koushik, Abhay; Neubauer, Mia; +7 Authors

Brain-Body Analysis Special Interest Group (BBSIG)

Abstract

Brain-Body Analysis Special Interest Group (BBSIG) is a collaborative initiative aimed at streamlining and standardizing the analysis of peripheral physiological data – mainly cardiovascular activity (electrocardiography [ECG], photoplethysmography [PPG]) and respiration – in relation to brain and behavioral data. Our goal is to develop accessible, reproducible, and well-documented analysis pipelines that researchers can integrate into their projects. We provide a set of open-access, Python-based pipelines, implemented with the modular structure of Jupyter notebooks. After comparing existing open-source packages, such as NeuroKit2 and Systole, we integrated the most suitable functions for peripheral physiological data processing into a recommended sequence of preprocessing and analysis steps, which can be adapted to each research project. Our pipelines are compatible with the Brain Imaging Data Structure (BIDS) specification for file organization and naming conventions. Our mission is to facilitate and enhance the reproducibility and transparency in peripheral physiological signal analysis by offering open-access, customizable pipelines with step-by-step tutorials. Whether you are a novice or an expert in brain-body interactions, BBSIG provides tools and guidance to support your research.

If you use this software, please cite it as below.

Keywords

peripheral-physiology, ecg, hrv, brain-body-interactions, ppg, interoception, respiration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average