Vincent Holstein

Ecological assessment of transdiagnostic clinical symptoms in serious mental illness with daily smartphone surveys

Yoonho Chung, Bryce Gillis, Habiballah Rahimi-Eichi, Vincent Holstein et autres

Abstract Clinical symptoms in serious mental illness (SMI) fluctuate dynamically, yet standard interview-based assessments often fail to capture these daily changes. Smartphone-based ecological surveys offer a scalable approach to monitoring symptoms in naturalistic settings. We analyzed longitudinal data from 56 outpatients with …

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Scalable depression monitoring with smartphone speech using a multimodal benchmark and topic analysis

Daniel Emden, Maike Richter, Astrid Chevance, Ramona Leenings et autres

Abstract Objective, scalable biomarkers are needed for continuous monitoring of major depressive disorder. Smartphone-collected speech is promising, yet clinically useful signals remain elusive. We analyzed 3151 weekly voice diaries from 284 German-speaking adults (128 MDD, 156 controls) to predict Beck Depression Inventory …

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Scalable depression monitoring with smartphone speech using a multimodal benchmark and topic analysis

Daniel Emden, Maike Richter, Astrid Chevance, Ramona Leenings et autres

Objective, scalable biomarkers are needed for continuous monitoring of major depressive disorder. Smartphone-collected speech is promising, yet clinically useful signals remain elusive. We analyzed 3151 weekly voice diaries from 284 German-speaking adults (128 MDD, 156 controls) to predict Beck Depression Inventory (BDI) …

Scalable depression monitoring with smartphone speech using a multimodal benchmark and topic analysis

Daniel Emden, Maike Richter, Astrid Chevance, Ramona Leenings et autres

Objective, scalable biomarkers are needed for continuous monitoring of major depressive disorder. Smartphone-collected speech is promising, yet clinically useful signals remain elusive. We analyzed 3151 weekly voice diaries from 284 German-speaking adults (128 MDD, 156 controls) to predict Beck Depression Inventory (BDI) …

Association of Daily Step Count With Depressive Symptoms in Patients With Major Depressive Disorder Using a Smartphone App (ReMAP): Longitudinal Study

Alexander Refisch, Daniel Emden, Vincent Holstein, Marius Gruber et autres

Background: The benefits of physical activity (PA) for both physical and mental health, including major depressive disorder (MDD), are well established. Mobile devices, such as smartphones, offer a scalable way to monitor PA and its relationship with depressive symptoms in daily life. …

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Low-Burden Detection of Clinical Worsening in Body Dysmorphic Disorder Using Smartphone Sensor and Demographic Data

Hilary Weingarden, Vincent Holstein, Geneva Jonathan, Michael F. Armey et autres

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Physical activity and major depressive disorder: Association Between Daily Steps and Self-reported Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP) (Preprint)

Alexander Refisch, Daniel Emden, Vincent Holstein, Marius Gruber et autres

BACKGROUND The benefits of physical activity (PA) for both physical and mental health, including major depressive disorder (MDD), are well established. Mobile devices, such as smartphones, offer a scalable way to monitor PA and its relationship with depressive symptoms in daily life. …

Judged by your neighbors: A novel framework for personalized assessment of brain structural aging effects in diverse populations

Ramona Leenings, Nils R. Winter, Jan Ernsting, Maximilian Konowski et autres

Background: Despite established consensus about the individuality of brain physiology and structural changes, current neuroimaging biomarker paradigms heavily rely on population averages. Here, we define normativity not as a single reference point but as a landscape of permissible configurations arising from diverse …

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169. Natural Language Processing Analysis of Psychiatric Progress Notes: An Innovative Approach to Real-Time Unbiased Construct Quantification

Jonathan Vogelgsang, Vincent Holstein, Joshua Abston, Tom McCoy et autres

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461. Digital Phenotyping Approaches for Tracking Clinical Symptoms in Serious Mental Illness

Yoonho Chung, Bryce Gillis, Habiballah Rahimi-Eichi, Vincent Holstein et autres

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Predicting dimensions of depression from smartphone data

Vincent Holstein, Samir Akre, Ramona Leenings, Yoonho Chung et autres

Depressive disorders are highly prevalent but demand nuanced personalized treatment that traditional approaches in psychiatry cannot address. This gap has prompted a surge of interest in leveraging digital technology, particularly smartphones, for remote monitoring to enhance outpatient care. This study utilizes the …

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Remote monitoring of depression severity: A machine learning approach

Vincent Holstein, Habiballah Rahimi-Eichi, Daniel Emden, Alexander Refisch et autres

Depression is a widely prevalent psychiatric illness with variable levels of severity that necessitate different approaches to treatment. To enhance the management of this condition, there is a growing interest in utilizing mobile devices, especially smartphones, for remote monitoring of patients. This …

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