Evidence map›Paper›PMID 41058641›Full record

ArticleFrontiers in psychiatry2025

Functional near-infrared spectroscopy as a diagnostic aid for stable schizophrenia.

Suzhen Zhang, Ting Li, Liangliang Chen, Tongkuai Cong, Xinping Kuai, Yonggang Mu

Abstract read
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Article in Frontiers in psychiatry, 2025. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Suzhen ZhangDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ting LiDepartment of Psychiatry, Shanghai Changning Mental Health Center, Affiliated Mental Health Center of East China Normal University, Shanghai, China.
Liangliang ChenDepartment of Psychiatry, Shanghai Changning Mental Health Center, Affiliated Mental Health Center of East China Normal University, Shanghai, China.
Tongkuai CongDepartment of Psychiatry, Shanghai Changning Mental Health Center, Affiliated Mental Health Center of East China Normal University, Shanghai, China.
Xinping KuaiDivision of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yonggang MuDepartment of Psychiatry, Shanghai Changning Mental Health Center, Affiliated Mental Health Center of East China Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cognitive impairment in schizophrenia (SCZ) is common, but the mechanism remains unclear. This study aimed to investigate whether brain activation during the functional near-infrared spectroscopy (fNIRS) verbal fluency test (VFT) task is associated with cognitive deficits and to evaluate the reliability of fNIRS as a clinical tool for diagnosing stable SCZ. Methods: A total of 45 stable SCZ patients and 30 healthy controls (HC) were included. Demographic information, Positive and Negative Symptom Scale (PANSS), and MATRICS Consensus Cognitive Battery (MCCB) were assessed. During VFT, hemodynamic responses in the frontotemporal cortex were monitored with fNIRS. Results: During VFT, individuals with SCZ demonstrated a reduced number of valid words, lower β value in channel 8, 25-26, 35-36 and 47-48, and decreased integral value (IV) in both the prefrontal lobe and bilateral temporal lobes. IV of the temporal lobes and the β value of channel 48 demonstrated sensitivity for diagnosis of SCZ, with an area under the receiver operating characteristic curve of 0.781 (95% CI: 0.667-0.896), and 0.762 (95% CI: 0.655-0.869), respectively. Moreover, IV of the temporal lobes correlated positively with multi-domain of cognition, including speed of processing, attention/vigilance, social cognition and MCCB total scores. The β value of channel 48 correlated positively with speed of processing. Conclusion: Our findings suggest that fNIRS may serve as a valuable clinical measure of cognition assessment, and IV of bilateral temporal lobes and β value of channel 48 can be used as candidate biomarkers to differentiate individuals with schizophrenia.

Indexed as

cognitiondiagnosisfNIRSschizophreniaVFT

Identifiers

PMID41058641
PMCPMC12497714

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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.