Monitoring emotional intensity and variability to forecast depression recurrence in real time in remitted adults.

MJ Schreuder, E Schat, AC Smit, E Snippe… - Journal of Consulting …, 2024 - psycnet.apa.org
Objective: Recurrent depressive episodes are preceded by changing mean levels of
repeatedly assessed emotions (eg, feeling restless), which can be detected in real time …

Risk ahead: Actigraphy-based early-warning signals of increases in depressive symptoms during antidepressant discontinuation

YK Kunkels, AC Smit, O Minaeva… - Clinical …, 2023 - journals.sagepub.com
Antidepressant discontinuation increases the risk of experiencing depressive symptoms. In a
repeated single-subject design, we tested whether transitions in depression were preceded …

Forecasting the onset of depression with limited baseline data only: A comparison of a person-specific and a multilevel modeling based exponentially weighted …

E Schat, F Tuerlinckx, MJ Schreuder… - Psychological …, 2024 - psycnet.apa.org
The onset of depressive episodes is preceded by changes in mean levels of affective
experiences, which can be detected using the exponentially weighted moving average …

Real-time detection of mean and variance changes in experience sampling data: A comparison of existing and novel statistical process control approaches

E Schat, F Tuerlinckx, B De Ketelaere… - Behavior Research …, 2024 - Springer
Retrospective analyses of experience sampling (ESM) data have shown that changes in
mean and variance levels may serve as early warning signs of an imminent depression …

[HTML][HTML] Validation of cost-efficient EEG experimental setup for neural tracking in an auditory attention task

J Ha, SC Baek, Y Lim, JH Chung - Scientific Reports, 2023 - nature.com
When individuals listen to speech, their neural activity phase-locks to the slow temporal
rhythm, which is commonly referred to as “neural tracking”. The neural tracking mechanism …

[HTML][HTML] Early detection of SARS-CoV-2 epidemic waves: lessons from the syndromic surveillance in Lombardy, Italy

G Bagarella, M Maistrello, M Minoja, O Leoni… - International Journal of …, 2022 - mdpi.com
We evaluated the performance of the exponentially weighted moving average (EWMA)
model for comparing two families of predictors (ie, structured and unstructured data from …

[HTML][HTML] Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends

G Porcu, YX Chen, AS Bonaugurio, S Villa… - Frontiers in Public …, 2023 - frontiersin.org
Introduction Large-scale diagnostic testing has been proven insufficient to promptly monitor
the spread of the Coronavirus disease 2019. Electronic resources may provide better insight …

Modelling motion energy in psychotherapy: A dynamical systems approach

I Dattner - British Journal of Mathematical and Statistical …, 2024 - Wiley Online Library
In this study we introduce an innovative mathematical and statistical framework for the
analysis of motion energy dynamics in psychotherapy sessions. Our method combines …

[HTML][HTML] A proof of concept study on individual trends in suicidal ideation: an ecological momentary assessment study of 5 patients over three months

C Nuij, W Van Ballegooijen, AC Smit… - Journal for Person …, 2023 - ncbi.nlm.nih.gov
Background Suicidal ideation (SI) is a significant and long-lasting mental health problem,
with a third of individuals still experiencing SI after two years. To date, most Ecological …

Warning signals for mental health problems in at‐risk young adults may be informed by momentary emotions reported by the general population: A novel application …

MJ Schreuder, P Kuppens, E Schat… - Mental Health …, 2024 - Wiley Online Library
Statistical process control (SPC) was recently introduced as a method for detecting person‐
specific warning signals for mental ill‐health. Such warning signals occur when a person's …