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Behind the screen: a narrative review on the translational capacity of passive sensing for mental health assessment
Mental health disorders—including depression, anxiety, trauma-related, and psychotic
conditions—are pervasive and impairing, representing considerable challenges for both …
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 …
Abstract Major Depressive Disorder (MDD) presents considerable challenges to diagnosis
and management due to symptom variability across time. Only recent work has highlighted …
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
Abstract Major Depressive Disorder (MDD) is a heterogeneous disorder, resulting in
challenges with early detection. However, changes in sleep and movement patterns may …
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 …
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 …
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
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 …
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
Objectives Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a significant
medical challenge, with no indisputable pathophysiological mechanism identified to date …
medical challenge, with no indisputable pathophysiological mechanism identified to date …
Patterns of activity correlate with symptom severity in major depressive disorder patients
Objective measures, such as activity monitoring, can potentially complement clinical
assessment for psychiatric patients. Alterations in rest–activity patterns are commonly …
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 …
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
This study introduces the Data Efficient Separable Transformer (DeSepTr) architecture, a
novel framework for Human Activity Recognition (HAR) that utilizes a light-weight computer …
novel framework for Human Activity Recognition (HAR) that utilizes a light-weight computer …