Bridging circuit modeling and signal analysis to understand the risk of crosstalk contamination in brain recordings
Journal article, 2026

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.

Author

Maria Porto Cruz

University of Freiburg

University of Ferrara

Elena Zucchini

University of Ferrara

Maria Vomero

University of Freiburg

Aldo Pastore

Istituto Italiano di Tecnologia

University of Ferrara

Ioana G. Vasilaș

University of Freiburg

Emanuela Delfino

University of Ferrara

Istituto Italiano di Tecnologia

Michele Di Lauro

Istituto Italiano di Tecnologia

Maria Asplund

Chalmers, Microtechnology and Nanoscience (MC2), Electronics Material and Systems

Luciano Fadiga

Istituto Italiano di Tecnologia

University of Ferrara

Thomas Stieglitz

University of Freiburg

Nature Communications

2041-1723 (ISSN) 20411723 (eISSN)

Vol. 16 1 4744

Subject Categories (SSIF 2025)

Other Electrical Engineering, Electronic Engineering, Information Engineering

Computer Sciences

DOI

10.1038/s41467-025-59391-0

Related datasets

Supplementary informatin [dataset]

DOI: 10.1038/s41467-025-59391-0

More information

Created

8/24/2026