Publications by authors named "S Zinger"
Continuous respiration monitoring is an important tool in assessing the patient's health and diagnosing pulmonary, cardiovascular, and sleep-related breathing disorders. Various techniques and devices, both contact and contactless, can be used to monitor respiration. Each of these techniques can provide different types of information with varying accuracy.
View Article and Find Full Text PDFResearch Purpose: Subjective clinical decision-making in major depressive disorder (MDD) may result in low treatment effectiveness. This study aims to identify objective predictors of MDD outcome using resting-state functional MRI scans, acquired from 25 MDD patients at baseline. Over a year, patients were assessed every 3 months, labeled as positive or negative outcome (change in depression severity).
View Article and Find Full Text PDF: Contactless monitoring of instantaneous heart rate and respiration rate has a significant clinical relevance. This work aims to use Speckle Vibrometry (i.e.
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- The study examines the challenges in effectively treating major depressive disorder (MDD) due to subjective clinical assessments and a lack of reliable quantitative measures, proposing that MRI-derived objective biomarkers could enhance diagnosis and outcome predictions.
- Researchers aim to develop multi-modal predictors using various MRI techniques from a combined dataset of MDD patients and healthy controls, tackling both diagnosis and treatment outcomes simultaneously.
- Initial findings indicate that diffusion tensor imaging (DTI) features outperformed other MRI modalities for both diagnosing MDD and predicting treatment outcomes, suggesting a potential for improved clinical decision-making.
While diagnosing autism spectrum disorder (ASD) based on an objective test is desired, the current diagnostic practice involves observation-based criteria. This study is a systematic review and meta-analysis of studies that aim to diagnose ASD using magnetic resonance imaging (MRI). The main objective is to describe the state of the art of diagnosing ASD using MRI in terms of performance metrics and interpretation.
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