Abnormal resting-state functional connectivity in adolescent depressive episodes

IF 2.1 4区 医学 Q3 CLINICAL NEUROLOGY
Nana Liang , Zhenpeng Xue , Jianchang Xu , Yumeng Sun , Huiyan Li , Jianping Lu
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引用次数: 0

Abstract

Background

Depression is linked to abnormalities in brain networks. Resting-state functional connectivity (FC), as measured using resting-state fMRI (rs-fMRI), is a crucial tool for exploring the brain network abnormalities associated with depressive symptoms, as it reveals how disruptions in brain region interactions occur. However, research focusing on adolescents with depression is limited and inconsistent, highlighting the need for further studies in this area.

Methods

Fifty-five adolescents with Depressive episodes (DE) and 26 healthy controls (HCs) underwent resting-state fMRI. Depressive symptoms were assessed using the 17-item Hamilton Rating Scale for Depression (HAMD-17). Seed regions were defined based on Yeo's seven-network scheme, including the sensorimotor network (SMN), ventral attention network (VAN), dorsal attention network (DAN), visual network (VN), frontoparietal network (FPN), default mode network (DMN), and limbic network (LN). These seed regions were derived from analysis of large-scale FC in healthy individuals, and were selected for their relevance to cognition, emotion, and depression research. Network-based statistical analyses were used to compare the adolescents with DE to the HCs, and correlation analyses were employed to examine the relationships between FC changes and cognitive performance.

Results

The results showed significant differences in FC between the DE and HCs groups, involving 17 nodes and 17 edges across seven networks. Decreased FC was observed within the FPN, as well as between the FPN and VAN, the FPN and DMN, and the SMN and both the DAN and VN. Increased FC was observed between the FPN and VN, between the DAN and other networks (i.e., the DMN and FPN), and between the SMN and multiple networks. Notably, FC between the right superior parietal (SMN) and right precuneus (DMN) showed a negative correlation with HAMD-17 scores.

Conclusion

These results suggest that adolescents with DE experience widespread brain network abnormalities characterized by hypoactivity in external networks such as the SMN and VN, as well as hyperactivity in associative regions, including the DMN, FPN, SMN, and LN. Although these changes in FC are evident, the specific mechanisms linking them to clinical symptoms remain unclear and warrant further investigation.
青少年抑郁发作的静息状态功能连通性异常
抑郁症与大脑网络的异常有关。静息状态功能连通性(FC)是利用静息状态功能磁共振成像(rs-fMRI)测量的,它是探索与抑郁症状相关的大脑网络异常的关键工具,因为它揭示了大脑区域相互作用的中断是如何发生的。然而,针对青少年抑郁症的研究是有限的和不一致的,这突出了在这一领域进一步研究的必要性。方法对55例青少年抑郁发作(DE)和26例健康对照(hc)进行静息态功能磁共振成像(fMRI)检查。采用17项汉密尔顿抑郁评定量表(HAMD-17)评估抑郁症状。根据Yeo的七网络方案定义种子区域,包括感觉运动网络(SMN)、腹侧注意网络(VAN)、背侧注意网络(DAN)、视觉网络(VN)、额顶叶网络(FPN)、默认模式网络(DMN)和边缘网络(LN)。这些种子区域来自健康个体的大规模FC分析,并因其与认知、情绪和抑郁研究的相关性而被选中。采用基于网络的统计分析对青少年DE与hc进行比较,并采用相关分析考察FC变化与认知表现之间的关系。结果结果显示,DE组和hc组在7个网络中涉及17个节点和17个边的FC存在显著差异。在FPN内部、FPN和VAN之间、FPN和DMN之间、SMN和DAN和VN之间都观察到FC降低。FPN和VN之间、DAN和其他网络(即DMN和FPN)之间以及SMN和多个网络之间的FC增加。值得注意的是,右侧顶叶上(SMN)和右侧楔前叶(DMN)之间的FC与HAMD-17评分呈负相关。结论青少年DE患者存在广泛的脑网络异常,其特征为外网络(如SMN和VN)活动不足,以及相关区域(包括DMN、FPN、SMN和LN)活动过度。虽然FC的这些变化是明显的,但将它们与临床症状联系起来的具体机制尚不清楚,需要进一步研究。
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来源期刊
Psychiatry Research: Neuroimaging
Psychiatry Research: Neuroimaging 医学-精神病学
CiteScore
3.80
自引率
0.00%
发文量
86
审稿时长
22.5 weeks
期刊介绍: The Neuroimaging section of Psychiatry Research publishes manuscripts on positron emission tomography, magnetic resonance imaging, computerized electroencephalographic topography, regional cerebral blood flow, computed tomography, magnetoencephalography, autoradiography, post-mortem regional analyses, and other imaging techniques. Reports concerning results in psychiatric disorders, dementias, and the effects of behaviorial tasks and pharmacological treatments are featured. We also invite manuscripts on the methods of obtaining images and computer processing of the images themselves. Selected case reports are also published.
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