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1.川北医学院护理学院,南充 637000
2.川北医学院附属医院心理卫生中心,南充 637000
3.川北医学院附属医院护理部,南充 637000
史紫娟,Email:shizijuan1021@163.com,研究方向:精神护理研究。
李芋均,Email:sammyleee@163.com。
收稿:2024-06-01,
修回:2024-07-28,
录用:2024-09-02,
纸质出版:2025-12-28
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史紫娟,丁祥洪,崔丽君等.青少年抑郁症大脑前额颞叶功能连接改变:一项功能性近红外脑成像研究[J].重庆医科大学学报,2025,50(12):1649-1655.
Shi Zijuan,Ding Xianghong,Cui Lijun,et al.Changes in prefrontal temporal functional connectivity in adolescent depression:a study based on near-infrared brain imaging[J].Journal of Chongqing Medical University,2025,50(12):1649-1655.
史紫娟,丁祥洪,崔丽君等.青少年抑郁症大脑前额颞叶功能连接改变:一项功能性近红外脑成像研究[J].重庆医科大学学报,2025,50(12):1649-1655. DOI: 10.13406/j.cnki.cyxb.003717.
Shi Zijuan,Ding Xianghong,Cui Lijun,et al.Changes in prefrontal temporal functional connectivity in adolescent depression:a study based on near-infrared brain imaging[J].Journal of Chongqing Medical University,2025,50(12):1649-1655. DOI: 10.13406/j.cnki.cyxb.003717.
目的
2
利用功能性近红外光谱技术(functional near-infrared spectroscopy,fNIRS)探究青少年抑郁症患者和健康对照组在静息状态下大脑前额叶和颞叶功能连接的特征。
方法
2
纳入13~18岁36例青少年抑郁症患者和36例健康对照被试,选取前额叶(prefrontal cortex,PFC),背外侧前额叶(dorsolateral prefrontal cortex,dlPFC)、双侧颞上回(superior temporal gyrus,STG)及颞中回(middle temporal gyrus,MTG)脑区为感兴趣区域(regions of interest,ROI),使用fNIRS采集2组被试者前额颞叶8 min的静息态数据。基于氧合血红蛋白(oxyhemoglobin,HBO
2
)在时间序列上的浓度,采用相关系数分析,计算2组受试者静息态下的功能连接强度,并比较2组人群功能连接强度及同源、异源脑网络的组间差异。
结果
2
基于HBO
2
的功能连接分析,抑郁症组前额颞叶整体脑区平均功能连接强度为0.40±0.14,健康对照组为0.44±0.17。健康对照组整体脑功能连接强度高于抑郁症组(
t
=-3.938,
P<
0.001)。基于同源脑网络方面:MTG-L-MTG-L(
t
=-3.233,
P
=0.015)、PFC-L-PFC-L(
t
=-2.576,
P
=0.032)、PFC-R-PFC-R(
t
=-2.677,
P
=0.032)。异源脑网络方面:连接STG-R-PFC-L(
t
=-2.824,
P
=0.035)、STG-R-PFC-R(
t
=-2.867,
P
=0.035)、PFC-L-PFC-R(
t
=-3.034,
P
=0.035)、PFC-L-dlPFC-L(
t
=-2.988,
P
=0.035)、PFC-R-dlPFC-L(
t
=-2.987,
P
=0.035)的连接显示出明显减少(以上
P
值均为FDR校正后)。
结论
2
静息状态下,青少年抑郁症患者的大脑前额叶及颞叶功能连接存在异常。这种功能连接改变可能与抑郁症的病理机制有关。进一步研究这种功能连接改变的神经机制将有助于深入理解抑郁症的病理生理过程,并为抑郁症的早期诊断和干预治疗提供线索。
Objective
2
To investigate the characteristics of functional connectivity in the prefrontal lobe and the temporal lobe during resting state between adolescents with depression and healthy controls based on functional near-infrared spectroscopy(fNIRS).
Methods
2
A total of 36 adolescents with depression and 36 healthy control subjects,aged 13-18 years,were enrolled as depression group and healthy control group,respectively. The prefrontal cortex(PFC),the dorsolateral prefrontal cortex(dlPFC),the bilateral superior temporal gyrus(STG),and the middle temporal gyrus(MTG) were selected as regions of interest(ROIs),and fNIRS was used to collect the 8-minute resting-state data of the prefrontal and temporal lobes for both groups. Based on the concentration of oxygenated hemoglobin(HBO
2
) in the time series,the correlation coefficient analysis was performed to calculate functional connectivity strength in the resting state for both groups,which was compared between the two groups.
Results
2
Based on functional connectivity analysis of HBO
2
,the mean functional connectivity strength across the entire prefrontal-temporal lobe brain regions was 0.40±0.14 in the depression group and 0.44±0.17 in the healthy control group. The overall brain functional connectivity strength was higher in the healthy control group than in the depression group(
t
=-3.938,
P
<
0.001). In terms of homologous brain networks, the following connections showed significant reductions:MTG-L–MTG-L(
t
=-3.233,
P
=0.015),PFC-L–PFC-L(
t
=-2.576,
P
=0.032),and PFC-R–PFC-R(
t
=-2.677,
P
=0.032). In terms of heterologous brain networks,the following connections exhibited significant reductions:STG-R–PFC-L(
t
=-2.824,
P
=0.035),STG-R–PFC-R(
t
=-2.867,
P
=0.035),PFC-L–PFC-R(
t
=-3.034,
P
=0.035),PFC-L–dlPFC-L(
t
=-2.988,
P
=0.035),and PFC-R–dlPFC-L(
t
=-2.987,
P
=0.035) (all
P
-values above were FDR-corrected).
Conclusion
2
There are abnormalities in the functional connectivity of the prefrontal-temporal cortex in adolescents with depression during the resting state,and these changes in functional connectivity may be associated with the pathological mechanism of depression. Further investigation into the neural mechanisms underlying such changes in functional connectivity will help to deepen our understanding of the pathophysiological process of depression and provide new clues for the early diagnosis and treatment of depression.
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