Evidence map›Paper›PMID 42295103›Full record

ArticleCNS neuroscience & therapeutics2026

State-Guided TMS-EEG for N100 Enhancement Study Based on Whole-Brain EEG Microstates.

Jiale Lan, Yong Wang, Xiaoli Li, He Chen

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Article in CNS neuroscience & therapeutics, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jiale LanSchool of Automation Science and Engineering, South China University of Technology, Guangzhou, China.
Yong WangDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.ORCID 0000-0002-1388-7312
Xiaoli LiSchool of Automation Science and Engineering, South China University of Technology, Guangzhou, China.ORCID 0000-0003-1359-5130
He ChenSchool of Automation Science and Engineering, South China University of Technology, Guangzhou, China.ORCID 0009-0007-6010-1240

Funding

The Brain Science and Brain-like Intelligence Technology -National Science and Technology Major Project 2021ZD0204300
6 · The paper itself

Abstract

objectiveTranscranial magnetic stimulation-electroencephalography (TMS-EEG) enables the non-invasive assessment of cortical excitability and inhibition. However, the N100 component-a key marker of cortical inhibition-often exhibits poor trial-to-trial stability, limiting its utility as a reliable readout. The aim of this study is to propose a whole-brain, state-guided TMS-EEG protocol for enhancing TMS-evoked N100.

methodsTMS-EEG data were acquired from 19 healthy adults. After standard preprocessing, single trials were sorted into five datasets according to the microstate present at the time of stimulation. For each microstate-specific dataset, global and local mean field amplitudes (GMFA/LMFA) and TMS-evoked potentials (TEPs) were computed to compare N100 characteristics across microstates.

resultsTMS delivered during the S4 microstate produced the numerically largest N100 values in the GMFA and LMFA. However, these differences did not reach statistical significance and should therefore be interpreted as exploratory descriptive findings. The clearest statistically significant microstate effect was observed for the TEPs. The N100 component of S4 group (-2.38 μV; |N100| = 2.38 ± 0.33 μV) was significantly higher than S2 group (p

conclusionBased on offline analysis, we established and validated a whole-brain, state-guided TMS-EEG framework for stabilizing and amplifying the N100 component. Stimulation delivered during the S4 microstate produced a larger local TEP N100 response, whereas GMFA and LMFA were analyzed as exploratory descriptive outcomes and showed S4-related numerical patterns. Moreover, the S4-related N100 enhancement remained statistically supported after downsampling from 64 to 32 channels, but was not retained in the 21- or 9-channel montages. These findings indicated that microstate-based state monitoring may offer a viable framework for future state-guided neuromodulation in both research and clinical applications.

Indexed as

BrainElectroencephalographyEvoked PotentialsTranscranial Magnetic StimulationAdultFemaleHumansMaleYoung AdultEEG microstatesstate‐guided stimulationTMS–EEGTMS evoked N100

Identifiers

PMID42295103
PMCPMC13267666

What Socratic 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 Socratic graph.