Evidence map›Paper›PMID 42200042›Full record

ArticleFrontiers in neuroscience2026

LFP-LOC: an LFP power-based method for validating the anatomical placement of high-density neural probes in rodents.

Alberto Perna, Raffaele Adamo, Matteo Vincenzi, Gian Nicola Angotzi, João Filipe Ribeiro, Luca Berdondini

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alberto PernaMicrotechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy.
Raffaele AdamoMicrotechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy.
Matteo VincenziMicrotechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy.
Gian Nicola AngotziMicrotechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy.
João Filipe Ribeiro *Microtechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy.
Luca BerdondiniMicrotechnology for Neuroelectronics Laboratory, Fondazione Istituto Italiano di Tecnologia, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-density CMOS-based neural probes provide unprecedented spatiotemporal resolution for in-vivo electrophysiology, yet accurate validation of implant position remains challenging. Here we present LFP-LOC, a simple and interpretable method for intraoperative validation and refinement of probe anatomical location based on the spatial distribution of local field potential (LFP) power. Using spontaneous activity recordings performed in rodents, we compute power spectral densities in canonical LFP bands and apply dimensionality reduction and clustering to identify electrodes with shared spectral signatures. Across multiple implant sites, probe technologies, electrode layouts, and experimental conditions, the resulting clusters consistently align with anatomical boundaries. Applied to high-density probes with up to 1,024 electrodes/channels and sub-30 μm pitch, power features converge within approximately 20 s of recordings, allowing online intraoperative assessment. By leveraging the robust relationship between LFP power and brain structure, LFP-LOC enables rapid validation and adjustment of probe placement during surgery, complements histological validation, and may facilitate mesoscale electrophysiological studies.

Indexed as

anatomical localizationbrain atlasCMOS neural interfaceslocal field potentialsonline probe placementpower spectral densitySiNAPS neural probesspatial distribution

Identifiers

PMID42200042
PMCPMC13199280

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.