Evidence map›Paper›PMID 42870387›Full record

ArticleCNS neuroscience & therapeutics2026

Residual Language Abilities Correlate With Diagnosis and Prognosis in Patients With Disorders of Consciousness.

Chuan Xu, Jiaxin Gao, Jing Zheng, Jie Yu, Jian Gao, Jingqi Li, Nai Ding, Benyan Luo

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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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chuan XuDepartment of Neurology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0009-0009-7351-8728
Jiaxin GaoKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China.
Jing ZhengKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-9584-5692
Jie YuDepartment of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0003-4488-6010
Jian GaoDepartment of Rehabilitation, Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China.
Jingqi LiDepartment of Rehabilitation, Hangzhou Mingzhou Brain Rehabilitation Hospital, Hangzhou, China.
Nai DingKey Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0003-3428-2723
Benyan LuoDepartment of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-9892-5778

Funding

National Natural Science Foundation of China 8250050433National Natural Science Foundation of China U22A20293the Major Science and Technology Program of xiaoshan District 2023310the Natural Science Foundation of Zhejiang Province LQN25H090004the Natural Science Foundation of Zhejiang Province LQN25H090042
6 · The paper itself

Abstract

backgroundEvaluating residual consciousness and predicting outcomes in unresponsive patients pose significant clinical challenges. Language assessment is crucial for these patients, and language-based EEG paradigms have shown promise in aiding diagnosis and prognosis in patients with disorders of consciousness (DoC). However, current language-based EEG paradigms either require higher-order cognitive functions, thereby misidentifying some conscious patients as unconscious, or rely on automatic processing, which fails to capture residual consciousness in DoC.

methodsNewly developed, simple phrase sequences combined with neural frequency tagging were used to explore a language paradigm tailored to a critical processing threshold. This paradigm was designed to reflect the dynamic process of consciousness in DoC, while requiring minimal cognitive load.

resultsOur results showed that significant phrase-level EEG responses were observed in healthy subjects, MCS patients, and UWS patients in three conditions. Neural tracking of phrase structure showed a progressive decrease across three groups (healthy > MCS > UWS). Among the UWS patients, 52.38% (11 out of 21) and among the MCS patients, 45.83% (11 out of 24) exhibited significant ITPC at the syllable rate in at least one of the three conditions. Additionally, 38.10% (8 out of 21) of UWS patients and 33.33% (8 out of 24) of MCS patients demonstrated significant ITPC at the phrase rate. The language paradigm performance in this study was superior to that of other paradigms in detecting the proportion of residual language ability in DoC patients. Furthermore, cortical tracking at the phrase rate significantly correlated with 12-month outcomes and effectively classified patients according to their 12-month prognosis.

conclusionsThe simplified language assessment demonstrates strong potential to detect residual language ability in DoC patients and could potentially be used to detect residual consciousness and determine prognosis in unresponsive patients.

Indexed as

Consciousness DisordersLanguageAdultAgedElectroencephalographyFemaleHumansMaleMiddle AgedPrognosisYoung Adultdisorders of consciousnesslanguage abilitiesneural tracking

Identifiers

PMID42870387
PMCPMC13662228

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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.