Evidence map›Paper›PMID 40572381›Full record

ArticleMicromachines2025

Flexible Deep-Brain Probe for High-Fidelity Multi-Scale Recording of Epileptic Network Dynamics.

Dujuan Zou, Lirui Yang, Guopei Zhou, Yan Zhang, Zhenyu Liang, Ziyi Zhu, Yanyan Nie, Huiran Yang, Zhitao Zhou, Liuyang Sun and 1 more

Abstract read
In one paragraph

Article in Micromachines, 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

11 authors.

Dujuan ZouState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Lirui YangState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Guopei ZhouState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Yan ZhangState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Zhenyu LiangState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0009-0006-2446-4127
Ziyi ZhuState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Yanyan NieShanghai Laboratory Animal Research Center, Shanghai 201203, China.
Huiran YangState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Zhitao ZhouState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.
Liuyang SunSchool of Graduate Study, University of Chinese Academy of Sciences, Beijing 100049, China.ORCID 0009-0006-4421-1952
Xiaoling WeiState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China.ORCID 0000-0002-0099-2260

Funding

CAS Pioneer Hundred Talents Program, Shanghai Pujiang Program 19PJ1410900Key Research Program of Frontier Sciences ZDBS-LY-JSC024National Natural Science Foundation of China 61974154National Natural Science Foundation of China 62474182Natural Science Foundation of Shanghai 24ZR1477000Shanghai Municipal Science and Technology Major Project Grant No. 2021SHZDZXShanghai Pilot Program for Basic Research - Chinese Academy of Science, Shanghai Branch JCYJ-SHFY-2022-01Shanghai Rising-Star Program 22QA1410900the National Key R & D Program of China 2022ZD0209300the Science and Technology Commission Foundation of Shanghai 21JM0010200Wellcome Trust 202312Youth Innovation Promotion Association CAS 2021231
6 · The paper itself

Abstract

Epilepsy is a complex neurological disorder characterized by abnormal neural synchronization and interactions between local foci and global brain networks during seizures. Understanding seizure mechanisms across multiple scales is essential for advancing our understanding of epileptic network dynamics and guiding personalized treatment strategies. However, neural recording technologies are limited by insufficient spatial resolution, signal fidelity, and the inability to simultaneously capture network- and cellular-level dynamics. To address these limitations, we developed a high-density, flexible deep-brain probe with excellent mechanical compliance and wideband recording capabilities, enabling high-fidelity recordings of high-frequency oscillations (HFOs, 80-500 Hz) and action potentials (APs). Using a pentylenetetrazol (PTZ)-induced epilepsy model, we identified distinct spatiotemporal dynamics of HFOs and APs across epileptic stages, indicating that CA3 plays a key role in seizure onset, while CA1 is crucial for propagation. AP-HFO coupling analysis further uncovered neuronal heterogeneity, offering insights into the diverse roles of neurons in epileptic networks. This study highlights the potential of a flexible deep-brain probe for advancing epilepsy research and guiding personalized therapeutic interventions.

Indexed as

AP-HFO couplingflexible probeseizure mechanismswideband neural recording

Identifiers

PMID40572381
PMCPMC12195220

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.