Contribution of physiological dynamics in predicting major depressive disorder severity.
Esther García Pagès1,2, Spyridon Kontaxis3, Sara Siddi4,5
1Department de Microelectrònica i Sistemes electrònics, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
Psychophysiology
|November 18, 2024
Summary
Physiological hyporeactivity and poor stress recovery in Major Depressive Disorder (MDD) patients correlate with depression severity. Objective measurement of stress response may improve diagnosis and personalized treatment.
Area of Science:
- Neuroscience
- Psychiatry
- Biomedical Engineering
Background:
- Major Depressive Disorder (MDD) diagnosis relies on subjective measures.
- Understanding the physiological stress response in MDD is crucial for objective assessment.
- Autonomic nervous system (ANS) function is implicated in depression.
Purpose of the Study:
- To explore physiological stress dynamics in MDD patients.
- To develop a multiparametric model for objective depression severity measurement.
- To correlate physiological stress reactivity and recovery with MDD severity.
Main Methods:
- Collected physiological signals (ECG, PPG, EDA, respiration, temperature) from 40 MDD patients and 40 controls.
- Assessed physiological responses during baseline, cognitive stress, and recovery phases.
- Extracted features to quantify autonomic reactivity and recovery, and developed a linear model for depression severity prediction.
Main Results:
- MDD patients exhibited general physiological hyporeactivity and impaired stress recovery compared to controls.
- Decreased autonomic reactivity and recovery across most physiological signals predicted higher depression severity.
- A predictive model incorporating gender, BMI, cognitive scores, and heart rate recovery achieved 78% accuracy.
Conclusions:
- Physiological stress response patterns are significantly correlated with depression severity in MDD.
- Objective quantification of stress response, cognitive function, and individual variables can enhance depression diagnosis and monitoring.
- Findings support tailoring therapeutic interventions based on individual physiological profiles.
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