Automatic assessment of somatic depressive symptoms from physiological signals

根据生理信号自动评估躯体抑郁症状

• 批准号: 20K16627
• 负责人: CHAN HUILING
• 金额: $ 2.08万
• 依托单位: Hiroshima University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2020
• 资助国家: 日本
• 起止时间: 2020-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K16627/
• 关键词: Major depression; Heart rate variability; Functional connectivity; Somatic symptoms; Interoception; Autonomic regulation; Biomarker; Photoplethysmogram (PPG); major depression; photoplethysmogram (PPG); fMRI; interoception; biomarker

To develop strategies for early prevention of MDD, it is crucial to identify biomarkers for depressive state and uncover the development model of MDD. Somatic depressive symptoms and the alterations of structure and functions in insula, the key region of brain interoceptive network (BIN), were reported as predictors of later development of MDD. However, it remained unclear whether the abnormalities of autonomic regulation and interoception are linked to the alterations of BIN in MDD. This two-year project aims to develop biomarkers for assessment of somatic symptoms and investigate the underlying neural mechanisms.In the first year, the neuromarkers for somatic symptoms were identified from magnetic resonance imaging data and linked to the abnormal cardiac autonomic regulation. The volume of 12 BIN regions including the cingulate, orbital frontal cortex, insula, and hippocampus were negatively correlated with somatic depressive symptoms. Among the 66 functional connectivity (FCs), a combination of 28 FCs achieved the highest prediction accuracy (correlation=0.805, p<0.01). Among them, 4 FCs between insula and anterior cingulate cortex (ACC) were significantly lower in MDD patients than in HC. Moreover, the reduced connectivity was correlated with decreased variability in inter-beat interval and decreased cardiac sympathetic and parasympathetic activity. The results suggest that alterations in the structure and function of the insula and ACC may underlie the somatic and autonomic abnormalities that play crucial roles in the development and remission of MDD.

为了制定早期预防MDD的策略，至关重要的是要确定抑郁状态的生物标志物并揭示MDD的发展模型。据报道，体细胞抑郁症状以及结构和功能的变化，即脑互感网络（BIN）的关键区域，是MDD后来发展的预测指标。但是，尚不清楚自主法调节和际观察的异常是否与MDD中bin的改变有关。这个为期两年的项目旨在开发生物标志物来评估体细胞症状并研究潜在的神经机制。第一年，从磁共振成像数据中鉴定出了躯体症状的神经标志物，并与异常心脏自主神经自主神经调节有关。 12个bin区域的体积在内，包括扣带，轨道额叶皮层，岛岛和海马与躯体抑郁症状负相关。在66个功能连通性（FCS）中，28 FC的组合达到了最高的预测准确性（相关= 0.805，p <0.01）。其中，MDD患者中绝缘体和前扣带回皮层（ACC）之间的4个FC明显低于HC。此外，连通性的降低与伴侣间间隔的变异性降低相关，心脏交感神经和副交感神经活动降低。结果表明，绝缘和ACC的结构和功能的改变可能是在MDD的发展和缓解中起着至关重要的躯体和自主异常的基础。

项目成果

Interoceptive brain systems predict somatic symptoms in major depression

内感受大脑系统预测重度抑郁症的躯体症状

• 发表时间: 2021
• 作者: Hui-Ling Chan;Alan Fermin;Masahiro Takamura;Naho Ichikawa;Takafumi Sasaoka;Shigeto Yamawaki
• 通讯作者: Shigeto Yamawaki

Alterations in the brain interoceptive network linked to abnormal cardiac autonomic regulation in major depressive disorder

大脑内感受网络的改变与重度抑郁症心脏自主调节异常有关

• 发表时间: 2021
• 作者: Hui-Ling Chan;Alan Fermin;Masahiro Takamura;Naho Ichikawa;Atsuo Yoshino;Go Okada;Yasumasa Okamoto;Shigeto Yamawaki
• 通讯作者: Shigeto Yamawaki