Evidence map›Paper›PMID 41381415›Full record

ArticleMicrosystems & nanoengineering2025

NeuroDepth: an ultra long whole brain reachable multi-channel probe for real-time precise functional localization of deep human brain tumor margins.

Yu Wang, Luyi Jing, Jingtao Qi, Yutong Wang, Yilin Song, Aixia Chen, Shiya Lv, Yu Liu, Jian Miao, Jie Li and 9 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

19 authors.

Yu Wang *State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Luyi Jing *State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Jingtao Qi *Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yutong WangAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Yilin SongState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-7756-5139
Aixia ChenDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Shiya LvState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Yu LiuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Jian MiaoState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Jie LiAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Zhaojie XuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0009-0002-1685-1152
Juntao LiuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-5368-398X
Jinping LuoState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-4213-9185
Changjun KeAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Pei WuDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. wupei@hrbmu.edu.cn.
Mixia WangState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. wangmixia@mail.ie.ac.cn.
Huaizhang ShiDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China. shihuaizhang@hrbmu.edu.cn.
Xinxia CaiState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. xxcai@mail.ie.ac.cn.ORCID http://orcid.org/0000-0001-5997-7252
Yirong WuState Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) Biomedical Engineering Department, University of Connecticut, UConn HealthNational Natural Science Foundation of China (National Science Foundation of China) L2224042, 62121003, T2293730, T2293731, 62333020, 62171434, and 62471291National Natural Science Foundation of China (National Science Foundation of China) Nos. L2224042, 62121003, T2293730, T2293731, 62333020, 62171434, and 62471291Natural Science Foundation of Heilongjiang Province PL2024H055
6 · The paper itself

Abstract

Precise intraoperative delineation of deep glioma margins remains challenging, as existing imaging modalities are limited by brain shift, poor penetration depth, or low spatial resolution, thus compromising surgical accuracy. Electrophysiological differences between tumor and normal tissues offer potential biomarkers, but lack high-resolution in vivo validation. We developed NeuroDepth, a tungsten-based multi-channel microelectrode array. With an implantation depth of up to 9 cm and 8 recording sites, the probe provides whole-brain accessibility. Its 15 µm diameter recording sites enable single-cell spatial resolution, while a 30 kHz sampling rate ensures high temporal fidelity for real-time signal acquisition. In this study, NeuroDepth was applied intraoperatively for the first time to monitor deep human glioma tissue. Spatial electrophysiological heterogeneity and longitudinal path-dependent variations revealed electrophysiological markers distinguishing tumor versus normal tissues. Compared with normal cortical surface recordings, glioma regions exhibited elevated neuronal firing rates, altered spike morphologies, and enhanced local field potential synchrony. Neuronal avalanche analysis revealed aberrant criticality within glioma tissue, suggesting unique dynamic network properties useful for boundary detection. A longitudinal recording along the cortex-white matter-tumor trajectory identified a characteristic "rebound" in neuronal activity upon entering the tumor, providing a clear demarcation signature. NeuroDepth demonstrates a new paradigm for intraoperative guidance, leveraging real-time electrophysiological detection to map deep tumor margins at a quantifiable single-cell resolution. It emerges as a promising tool to enhance resection accuracy while protecting functional brain areas.

Identifiers

PMID41381415
PMCPMC12698699

What OpenQuestion holds

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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.