Evidence map›Paper›PMID 42630118›Full record

ArticleCNS neuroscience & therapeutics2026

Early High-Frequency Network Reorganization After Spinal Cord Stimulation Is Linked to Long-Term Recovery in Disorders of Consciousness.

Kang Zhang, Yunqian Li, Zean Li, Xinran Zhang, Zhiyang Xu, Chunyun Zhang, Chuanxiang Lv, Boyuan Zhang, Haoyong Jin, Li Bie

Abstract read
In one paragraph

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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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

10 authors.

Kang ZhangDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0009-0008-9813-7895
Yunqian LiDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0000-0003-2199-8618
Zean LiDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Xinran ZhangDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0009-0000-5958-7465
Zhiyang XuDepartment of Neurosurgery, The Fourth People's Hospital of Jinan, Jinan, China.
Chunyun ZhangDepartment of Neurosurgery, Qilu Hospital of Shandong University (Qingdao), Qingdao, China.ORCID https://orcid.org/0000-0002-4284-8064
Chuanxiang LvDepartment of Neurosurgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0009-0004-4454-3776
Boyuan ZhangDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Haoyong JinDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Li BieDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.ORCID https://orcid.org/0009-0006-1048-1815

Funding

Science and Technology Development Plan Project of Jilin Province 20230204094YYScience and Technology Development Plan Project of Jilin Province YDZJ202201ZYTS001
6 · The paper itself

Abstract

aimsSpinal cord stimulation (SCS) is a promising treatment for disorders of consciousness (DoC), but early neurophysiological markers of durable recovery remain unclear. We aimed to determine whether source-space EEG network energy and communication features capture early brain-network reorganization linked to 6-month recovery in chronic DoC.

methodsThirty-one chronic DoC patients undergoing cervical SCS completed resting-state EEG before stimulation and at 1 week and 1 month after stimulation onset. Source-space EEG was analyzed across delta, theta, alpha, and beta bands. NetPower quantified network energy within five canonical networks, and ModularAUC quantified threshold-robust within- and between-network communication. EEG features were related to 6-month CRS-R outcomes.

resultsRecovery was associated with sustained alpha/beta NetPower enhancement across default mode, frontoparietal, cingulo-opercular, somatomotor, and occipital networks, peaking at 1 month. Beta-band ModularAUC showed the clearest communication-architecture consolidation, with broader within- and cross-network synergy in recovered patients. Low-frequency changes were weaker and less consistent. High-frequency NetPower features, especially FPN alpha at 1 month and CON beta at 1 week, showed the strongest associations with long-term improvement.

conclusionsSCS-related recovery in DoC is characterized by high-frequency network-energy enhancement and beta-band communication consolidation. Here, high-frequency network reorganization mainly refers to alpha- and beta-band source-space EEG changes. Source-space EEG may provide early potential neurophysiological markers for monitoring recovery.

Indexed as

BrainConsciousness DisordersNerve NetRecovery of FunctionSpinal Cord StimulationAdultElectroencephalographyFemaleHumansMaleMiddle Agedalpha/beta oscillationsbrain‐network reorganizationcandidate recovery markersdisorders of consciousnessModularAUCNetPowersource‐space EEGspinal cord stimulation

Identifiers

PMID42630118
PMCPMC13498968

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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.