TY  - JOUR
AU  - Gutzen, Robin
AU  - De Bonis, Giulia
AU  - De Luca, Chiara
AU  - Pastorelli, Elena
AU  - Capone, Cristiano
AU  - Allegra Mascaro, Anna Letizia
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  - A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets
JO  - Cell reports / Methods
VL  - 4
IS  - 1
SN  - 2667-2375
CY  - Cambridge, MA
PB  - Cell Press
M1  - FZJ-2024-00219
SP  - 100681
PY  - 2024
AB  - Neuroscience is moving toward 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 electrocorticography (ECoG) and calcium imaging datasets.
LB  - PUB:(DE-HGF)16
C6  - 38183979
UR  - <Go to ISI:>//WOS:001171298600001
DO  - DOI:10.1016/j.crmeth.2023.100681
UR  - https://juser.fz-juelich.de/record/1020500
ER  -