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，识别抑郁状态的生物标志物并揭示MDD的发展模式至关重要。躯体抑郁症状和脑内感受网络（BIN）的关键区域--海马结构和功能的改变被认为是MDD后期发展的预测因素。然而，目前尚不清楚自主神经调节和内感受的异常是否与MDD中BIN的改变有关。本研究为期两年，目的是开发用于评估躯体症状的生物标志物，并研究其潜在的神经机制。在第一年，从磁共振成像数据中识别出躯体症状的神经标志物，并将其与心脏自主调节异常联系起来。扣带回、眶额皮质、海马、额叶皮质等12个BIN区域的体积与躯体抑郁症状呈负相关。在66个功能连接（FC）中，28个FC的组合达到了最高的预测准确度（相关性=0.805，p<0.01）。其中4个位于前扣带皮层与前扣带皮层之间的FC在MDD组明显低于HC组。此外，连接性的降低与心搏间期变异性的降低以及心脏交感神经和副交感神经活动的降低相关。结果表明，在结构和功能的改变，在MDD的发展和缓解中发挥关键作用的躯体和自主神经的异常可能是基础。

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