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.

A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets / Gutzen, Robin; De Bonis, Giulia; De Luca, Chiara; Pastorelli, Elena; Capone, Cristiano; Allegra Mascaro, Anna Letizia; Resta, Francesco; Manasanch, Arnau; Pavone, Francesco Saverio; Sanchez-Vives, Maria V.; Mattia, Maurizio; Grün, Sonja; Paolucci, Pier Stanislao; Denker, Michael. - In: CELL REPORTS. METHODS. - ISSN 2667-2375. - ELETTRONICO. - 4:(2024), pp. 100681.100681-100681.100681. [10.1016/j.crmeth.2023.100681]

A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets

De Luca, Chiara;Pastorelli, Elena;Allegra Mascaro, Anna Letizia;Resta, Francesco;Pavone, Francesco Saverio;
2024

Abstract

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.
2024
4
100681
100681
Gutzen, Robin; De Bonis, Giulia; De Luca, Chiara; Pastorelli, Elena; Capone, Cristiano; Allegra Mascaro, Anna Letizia; Resta, Francesco; Manasanch, Ar...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1357127
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