ArticleCell reports methods2024
A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets.
Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Quantifying cortex-wide traveling brain waves of complex patterns with a graph-based algorithm.Frontiers in computational neuroscience · 2026Article
- Article
- Spyglass: a framework for reproducible and shareable neuroscience research.bioRxiv : the preprint server for biology · 2025Article
- Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO).Scientific data · 2025Article
- Facilitating the Sharing of Electrophysiology Data Analysis Results Through In-Depth Provenance Capture.eNeuro · 2024Article
- Group ICA of wide-field calcium imaging data reveals the retrosplenial cortex as a major contributor to cortical activity during anesthesia.Frontiers in cellular neuroscience · 2024Article
- Brain state identification and neuromodulation to promote recovery of consciousness.Brain communications · 2024Review
- Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse.Communications biology · 2023Article
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Authors and funding
14 authors.
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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.
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