近红外光谱脑功能成像在辅助诊断精神分裂症的临床应用

doi:10.3969/j.issn.1006-5725.2025.14.021

Abstract

Abstract:

Objective To investigate the functional brain characteristics of the frontal and bilateral temporal regions during a verbal fluency task （VFT） in patients with stable schizophrenia using functional near-infrared spectroscopy （fNIRS）， and to evaluate its potential clinical application in assisting the diagnosis of schizophrenia. Methods A total of 45 stable schizophrenia patients and 30 healthy controls were enrolled in the study. fNIRS was employed to assess brain activation patterns in the frontal and bilateral temporal lobes during the VFT. The integral values， centroid values， and slopes of the frontal and bilateral temporal lobes were measured. Differences in demographic characteristics， word count， and fNIRS-derived parameters between the two groups were analyzed. A logistic regression model and receiver operating characteristic （ROC） curve analysis were conducted to evaluate the diagnostic performance of the fNIRS measures in distinguishing schizophrenia patients from healthy controls. Results During VFT， the patient group demonstrated reduced word count and decreased integral values and slopes in the frontal lobe， as well as lower integral values in the bilateral temporal lobes， compared to the healthy control group （all P < 0.05）. However， no statistically significant differences were observed between the two groups in terms of frontal lobe centroid value， temporal lobe centroid value， or bilateral temporal lobe slope （all P > 0.05）. The logistic regression model indicated that the temporal lobe integral value was significantly associated with the diagnosis of schizophrenia （OR = 0.979， P = 0.005）. ROC curve analysis revealed that the frontal lobe integral value， frontal lobe slope， and temporal lobe integral value exhibited acceptable discriminatory power for disease classification， with area under the curve （AUC） values of 0.681， 0.644， and 0.779， respectively （all P < 0.05）. Conclusion In stable schizophrenia， the integral values of the frontal and temporal lobes， as well as the slope of the frontal lobe， decrease during the VFT， suggesting potential clinical utility in differentiating individuals with schizophrenia from healthy controls.

Key words: schizophrenia, near infrared spectroscopy, verbal fluency task, diagnosis

CLC Number:

R749.3

Yonggang MU,Longyun CHEN,Tongkuai CONG,Xuxiu JING,Suzhen. ZHANG. Clinical application of near⁃infrared spectroscopy in assisting the diagnosis of schizophrenia[J]. The Journal of Practical Medicine, 2025, 41(14): 2264-2268.

Figures/Tables 5

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References 25

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项目	精神分裂症组	健康对照组	t/χ²值	P值
年龄/岁	42.78 ± 6.88	40.57 ± 8.47	1.242	0.218
性别（男/女）/例	21/24	15/15	0.800	0.777
受教育年限	14.53 ± 2.62	15.23 ± 2.92	-1.083	0.282

项目	精神分裂症组	健康对照组	t/Z值	P值
组词数/个	8.98 ± 3.22	11.97 ± 3.44	3.817	< 0.001
额叶积分值［M（Q₁，Q₃）］	25.40（-3.00，66.90）	57.70（35.30，77.00）	2.742	0.006
额叶重心值/s	59.59 ± 15.33	56.43 ± 8.80	-0.102	0.310
额叶斜率	0.000 5 ± 0.001 1	0.001 0 ± 0.001 1	2.214	0.027
颞叶积分值［M（Q₁，Q₃）］	28.00（-1.55， 65.20）	110.10（49.98，157.50）	4.110	< 0.001
颞叶重心值/s	58.66 ± 15.21	59.67 ± 7.65	0.340	0.735
颞叶斜率	0.000 4 ± 0.000 1	0.000 6 ± 0.000 8	1.593	0.111

项目	β	SE	P值	OR	95%CI
组词数	-0.149	0.078	0.057	0.861	0.739 ~ 1.004
额叶积分值	0.005	0.008	0.562	1.005	0.989 ~ 1.021
额叶斜率^a	-0.024	0.029	0.417	0.976	0.922 ~ 1.034
颞叶积分值	-0.021	0.007	0.005	0.979	0.965 ~ 0.994

项目	最佳截断值	灵敏度	特异度	P值	AUC	95%CI
组词数	8.5	0.900	0.364	0.086	0.618	0.491 ~ 0.745
额叶积分值	50.9	0.667	0.682	0.008	0.681	0.558 ~ 0.805
额叶斜率	0.011 5	0.533	0.864	0.036	0.644	0.504 ~ 0.783
颞叶积分值	72.6	0.633	0.844	< 0.001	0.779	0.664 ~ 0.894

Clinical application of near⁃infrared spectroscopy in assisting the diagnosis of schizophrenia

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