Key result
Dynamic brain-heart interaction model detects suicidal ideation in MDD patients with ~0.83 AUC.
Why the study?
Interactions between the brain and heart in patients with major depressive disorder with and without suicidal ideation remain largely unknown.
Can temporal dynamic brain-heart interactions (TD-BHI) distinguish major depressive disorder patients with suicidal ideation from those without?
Cross-Sectional (n=150)
No
Can temporal dynamic brain-heart interactions (TD-BHI) distinguish major depressive disorder patients with suicidal ideation from those without?
Temporal dynamic brain-heart interactions derived from EEG and ECG can serve as a reliable biomarker to distinguish MDD patients with suicidal ideation.
Answers are grounded in this paper and cite their sources.
Hypothesis-generating for TD-BHI as a biomarker of suicidal ideation in MDD; prospective validation required before clinical adoption.
Previous studies have indicated abnormal brain activation or heart rate variability in patients with major depressive disorder (MDD). Suicidal ideation, as one of the main concerns of MDD, is a serious public health problem. However, the interactions between brain and heart of MDD patients with and without suicidal ideation remain largely unknown. In this study, resting-state EEG and ECG data were simultaneously collected from 42 healthy controls (HCs), 69 MDD patients with suicidal ideation (MDDSI), and 39 MDD patients without suicidal ideation (MDDNSI). We proposed a novel methodology for analyzing temporal dynamic brain-heart interactions (TD-BHI). Then, we calculated the correlations between abnormalities of TD-BHI and cognitive performance, as well as sleep quality. Finally, we assessed the ability of TD-BHI to distinguish MDDSI patients. We found that the TD-BHI values in the MDDSI group significantly increased in the parietal lobes and decreased in the right parietal lobes, compared with those in the HCs group. Additionally, the attention/vigilance score of the MATRICS consensus cognitive battery (MCCB) and the Pittsburgh sleep quality index scores were significantly correlated with the TD-BHI values in the MDDSI group. The ensemble learning model based on TD-BHI achieved an AUC of 0.825 in distinguishing MDDSI from MDDNSI patients. Distinct abnormalities of TD-BHI may mediate suicidal ideation in MDD patients and can serve as a reliable biomarker for the diagnosis of MDDSI patients.
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Li et al. (2026) conducted a cross-sectional in Major depressive disorder with suicidal ideation (n=150). Temporal dynamic brain-heart interactions (TD-BHI) analysis vs. MDD without suicidal ideation and healthy controls was evaluated on Area under the curve (AUC) for distinguishing MDDSI from MDDNSI. An ensemble learning model based on temporal dynamic brain-heart interactions achieved an AUC of 0.825 in distinguishing major depressive disorder patients with suicidal ideation from those without.
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