Evidence map›Paper›PMID 42352615›Full record

ArticleBrain sciences2026

A Low-Cost Modular Multi-Region Electrode for Distributed Network Recording and Brain State Decoding.

Bo-Yu Wang, Yu Chen, Bin Wang, Wen Xie, Jia-Yi Zeng, Yi-Zheng Wang, Chun-Kui Zhang

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In one paragraph

Article in Brain sciences, 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bo-Yu WangCenter of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Yu ChenCenter of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Bin WangCenter of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Wen XieCenter of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Jia-Yi ZengCenter of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.
Yi-Zheng WangState Key Laboratory of Medical Neurobiology, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China.
Chun-Kui ZhangCenter of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing 100850, China.

Funding

Lingang Laboratory LS-QS-202201-04, LGL-6672-11Ministry of Science and Technology of the People's Republic of China 2022YFC2405101
6 · The paper itself

Abstract

backgroundPrecise decoding of brain states is essential for closed-loop neuromodulation, but current electrodes and recording strategies are inadequate. Multi-region recording offers network-level advantages over single-region approaches, yet remains underdeveloped due to the lack of low-cost, flexible multi-region electrodes and standardized workflows.

methodsWe developed a low-cost, modular, silica capillary tube-based 16-channel electrode for multi-region local field potential (LFP) recording in small animals, along with an integrated workflow for spectral analysis, functional connectivity assessment, and machine learning-based brain state decoding.

resultsOur electrode design enables flexible customization of target regions and low-cost (~19.43 USD/unit) assembly without specialized equipment. In vivo validation in rats targeting eight emotional network nuclei achieved 79.2% implantation accuracy, with stable LFP recordings maintained for over 3 months. In a reserpine-induced depression model, spectral analysis revealed state-specific oscillatory changes including reduced alpha power in the infralimbic cortex. Inter-regional functional connectivity analysis further captured drug-induced network-level synchronization changes. We also developed a machine learning pipeline with random forest classifier that achieved ~96.4% accuracy in decoding brain states from the multi-region signals.

conclusionsThis modular multi-region electrode provides a practical, adaptable, and low-cost platform for long-term distributed network recording, supporting quantitative LFP analysis, functional connectivity assessment, and high-accuracy brain state decoding, laying a technical foundation for preclinical closed-loop neuromodulation research.

Indexed as

local field potentialmodular electrodemulti-region

Identifiers

PMID42352615
PMCPMC13296416

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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.