Closing the loop between environment, brain and mental health: how far we might go in real-life assessments?

S Lehmler, S Siehl, R Kjelkenes… - Current Opinion in …, 2024 - journals.lww.com
The presented overview on the developments and feasibility of “real-life” approaches for
mental health and brain research and their potential to identify relationships along the …

Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineering

C Zierer, C Behrendt, AC Lepach-Engelhardt - Journal of Affective …, 2024 - Elsevier
Background General physicians misclassify depression in more than half of the cases.
Researchers have explored the feasibility of leveraging passively collected data points, also …

[HTML][HTML] Detecting your depression with your smartphone?–An ethical analysis of epistemic injustice in passive self-tracking apps

M Faissner, E Kuhn, R Müller, S Laacke - Ethics and Information …, 2024 - Springer
Smartphone apps might offer a low-threshold approach to the detection of mental health
conditions, such as depression. Based on the gathering of 'passive data,'some apps …

Uncovering social states in healthy and clinical populations using digital phenotyping and Hidden Markov Models

IE Leaning, A Costanzo, R Jagesar, LM Reus… - medRxiv, 2024 - medrxiv.org
Brain related disorders are characterised by observable behavioural symptoms.
Smartphones can passively collect objective behavioural data, avoiding recall bias. Despite …

Predicting and Monitoring Symptoms in Diagnosed Depression Using Mobile Phone Data: An Observational Study

A Ikäheimonen, N Luong, I Baryshnikov, R Darst… - medRxiv, 2024 - medrxiv.org
Background: Clinical diagnostic assessments and outcome monitoring of patients with
depression rely predominantly on interviews by professionals and the use of self-report …