Behind the screen: a narrative review on the translational capacity of passive sensing for mental health assessment

AC Bryan, MV Heinz, AJ Salzhauer, GD Price… - Biomedical Materials & …, 2024 - Springer
Mental health disorders—including depression, anxiety, trauma-related, and psychotic
conditions—are pervasive and impairing, representing considerable challenges for both …

Using digital phenoty** to capture depression symptom variability: detecting naturalistic variability in depression symptoms across one year using passively …

GD Price, MV Heinz, SH Song, MD Nemesure… - Translational …, 2023 - nature.com
Abstract Major Depressive Disorder (MDD) presents considerable challenges to diagnosis
and management due to symptom variability across time. Only recent work has highlighted …

Detecting major depressive disorder presence using passively-collected wearable movement data in a nationally-representative sample

GD Price, MV Heinz, AC Collins, NC Jacobson - Psychiatry research, 2024 - Elsevier
Abstract Major Depressive Disorder (MDD) is a heterogeneous disorder, resulting in
challenges with early detection. However, changes in sleep and movement patterns may …

β-Arrestin2-biased Drd2 agonist UNC9995 alleviates astrocyte inflammatory injury via interaction between β-arrestin2 and STAT3 in mouse model of depression

Y Liu, N Song, H Yao, S Jiang, Y Wang… - Journal of …, 2022 - Springer
Background Major depressive disorder (MDD) is a prevalent and devastating psychiatric
illness. Unfortunately, the current therapeutic practice, generally depending on the …

Digital Phenoty**-based depression detection in the presence of comorbidity: An uncertainty reasoning approach

F Peng, D Zhang, Z Yan - Journal of Management Information …, 2024 - Taylor & Francis
Depression is a growing health and societal problem that has become increasingly
prevalent and burdensome. The detection or diagnosis of depression has been very …

[HTML][HTML] Wearable movement data as a potential digital biomarker for chronic pain: an investigation using deep learning

H Dorris, J Oh, N Jacobson - Physical Activity and Health, 2024 - paahjournal.com
Objective: Chronic pain is known to affect approximately a quarter of the United States
population. Despite the prevalence of chronic pain, current chronic pain measures are often …

Central 5-HTergic hyperactivity induces myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)-like pathophysiology

JS Lee, JY Kang, SY Park, SJ Hwang, SJ Bae… - Journal of Translational …, 2024 - Springer
Objectives Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a significant
medical challenge, with no indisputable pathophysiological mechanism identified to date …

Patterns of activity correlate with symptom severity in major depressive disorder patients

S Spulber, F Elberling, J Svensson, M Tiger… - Translational …, 2022 - nature.com
Objective measures, such as activity monitoring, can potentially complement clinical
assessment for psychiatric patients. Alterations in rest–activity patterns are commonly …

Effect of Ketamine Treatment on Social Withdrawal in Autism and Autism-Like Conditions

M Ralston, A Osman, P Suryadevara… - Clinical …, 2024 - journals.lww.com
Objective Ketamine and esketamine have been used in the field of psychiatry to alleviate
conditions such as major depressive disorder. Our objective was to evaluate the current …

A data efficient vision transformer for robust human activity recognition from the spectrograms of wearable sensor data

J McQuire, P Watson, N Wright… - 2023 IEEE Statistical …, 2023 - ieeexplore.ieee.org
This study introduces the Data Efficient Separable Transformer (DeSepTr) architecture, a
novel framework for Human Activity Recognition (HAR) that utilizes a light-weight computer …