TY  - EJOUR
AU  - Gutzen, Robin
AU  - De Bonis, Giulia
AU  - De Luca, Chiara
AU  - Pastorelli, Elena
AU  - Capone, Cristiano
AU  - Mascaro, Anna Letizia Allegra
AU  - Resta, Francesco
AU  - Manasanch, Arnau
AU  - Pavone, Francesco Saverio
AU  - Sanchez-Vives, Maria V.
AU  - Mattia, Maurizio
AU  - Grün, Sonja
AU  - Paolucci, Pier Stanislao
AU  - Denker, Michael
TI  - Comparing apples to apples -- Using a modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
PB  - arXiv
M1  - FZJ-2023-01831
PY  - 2022
AB  - Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, and measurement techniques. A remaining challenge on that path is integrating such heterogeneous data into analysis workflows such that consistent and comparable conclusions can be distilled as an experimental basis for models and theories. Here, we propose a solution in the context of slow wave activity (< 1 Hz), which occurs during unconscious brain states like sleep and general anesthesia, and is observed across diverse experimental approaches. We address the issue of integrating and comparing heterogeneous data by conceptualizing a general pipeline design that is adaptable to a variety of inputs and applications. Furthermore, we present the Collaborative Brain Wave Analysis Pipeline (Cobrawap) as a concrete, reusable software implementation to perform broad, detailed, and rigorous comparisons of slow wave characteristics across multiple, openly available ECoG and calcium imaging datasets.
KW  - Neurons and Cognition (q-bio.NC) (Other)
KW  - Quantitative Methods (q-bio.QM) (Other)
KW  - FOS: Biological sciences (Other)
LB  - PUB:(DE-HGF)25
DO  - DOI:10.48550/arXiv.2211.08527
UR  - https://juser.fz-juelich.de/record/1006775
ER  -