Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings

Maria F. Porto Cruz (), Elena Zucchini, Maria Vomero, Aldo Pastore, Ioana G. Vasilaș, Emanuela Delfino, Michele Di Lauro, Maria Asplund, Luciano Fadiga and Thomas Stieglitz ()
Additional contact information
Maria F. Porto Cruz: Department of Microsystems Engineering (IMTEK), University of Freiburg
Elena Zucchini: University of Ferrara
Maria Vomero: Department of Microsystems Engineering (IMTEK), University of Freiburg
Aldo Pastore: University of Ferrara
Ioana G. Vasilaș: Department of Microsystems Engineering (IMTEK), University of Freiburg
Emanuela Delfino: University of Ferrara
Michele Di Lauro: Istituto Italiano di Tecnologia
Maria Asplund: University of Freiburg
Luciano Fadiga: University of Ferrara
Thomas Stieglitz: Department of Microsystems Engineering (IMTEK), University of Freiburg

Nature Communications, 2025, vol. 16, issue 1, 1-13

Abstract: Abstract Advancements in the field of implantable neurotechnologies have enabled the integration of hundreds of microelectrodes on ultra-thin and flexible substrates. Besides implantable components, also connectors, headstages and cables have to comply with the high-count demand, resulting in a complex and compact chain with reduced line spacing and smaller safety margins. Here, we show that epicortical recordings acquired from anesthetized rat brains with a state-of-art neural acquisition system are undoubtedly compromised by crosstalk, with signal coherence maps exhibiting a strong dependency to the routing layout. A crosstalk back-correction algorithm is developed, allowing to infer on how signals would look like under a zero-crosstalk scenario. We found that signal coherence between closely routed channels effectively drops after correction, corroborating crosstalk contamination. Our work stresses the importance of validating recorded data against the routing layout as a crucial step of data quality control, helping to come closer to ground truth data.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-59391-0 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-59391-0

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-59391-0

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().