A5075704744- Mental Health Research Topics
- Statistical Methods and Inference
- Behavioral Health and Interventions
- Digital Mental Health Interventions
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Sensory Analysis and Statistical Methods
- Identity, Memory, and Therapy
- Bayesian Methods and Mixture Models
- Cognitive Abilities and Testing
- Image and Video Quality Assessment
- Differential Equations and Numerical Methods
- Advanced Statistical Process Monitoring
- Functional Brain Connectivity Studies
- Fault Detection and Control Systems
- Gaussian Processes and Bayesian Inference
- Time Series Analysis and Forecasting
- Advanced Causal Inference Techniques
- Blind Source Separation Techniques
- Gene Regulatory Network Analysis
- Emotions and Moral Behavior
- Statistical Methods in Clinical Trials
- Complex Systems and Time Series Analysis
- Numerical methods for differential equations
- Matrix Theory and Algorithms
- Advanced Neuroimaging Techniques and Applications
KU Leuven
2009-2024
Depression not only involves disturbances in prevailing affect, but also how affect fluctuates over time. Yet, precisely which patterns of dynamics are associated with depressive symptoms remains unclear; depression has been linked increased affective variability and instability, greater resistance to change (inertia). In this paper, we argue that these paradoxical findings stem from a number neglected methodological/analytical factors, address using novel paradigm analytic approach....
A full understanding of emotions and emotion characteristics can only be reached when their dynamic nature is taken into account. As such, a primary objective the present study to describe account for variability in temporal profiles experienced emotional intensity. Participants were asked make detailed drawings intensity recently episodes anger, sadness, joy affection. Functional data analysis revealed three features that together accounted 84% total variability: (i) steepness at onset;...
The experience sampling methodology (ESM) has long been considered as the gold standard for gathering data in everyday life. In contrast, current smartphone technology enables us to acquire that are much richer, more continuous, and unobtrusive than is possible via ESM. Although obtained from smartphones, known mobile sensing, can provide useful information, its stand-alone usefulness limited when not combined with other sources of information such ESM studies. Currently, there few apps...
In various fields, statistical models of interest are analytically intractable and inference is usually performed using a simulation-based method. However elegant these methods are, they often painstakingly slow convergence difficult to assess. As result, greatly hampered by computational constraints. However, for given model, different users, even with data, likely perform similar computations. Computations done one user potentially useful other users data sets. We propose pooling resources...
In this paper we introduce mobileQ, which is a free, open-source software that our lab has developed to use in experience sampling studies. Experience studies have several strengths and are becoming more widely conducted, but there few free options. To address gap, mobileQ freely available servers, web interface, an Android app. reduce the barrier entry, it requires no high-level programming, uses easy point-and-click interface. It designed be used on dedicated research phones, allowing for...
Lay wisdom suggests feeling negative while awaiting an upcoming stressor-anticipatory affect-shields against the blow of subsequent stressor. However, evidence is mixed, with different lines research and theory indirectly suggesting that anticipatory affect helpful, harmful, or has no effect on emotional outcomes. In two studies, we aimed to reconcile these competing views by examining affective trajectory across hours, days, months, separating reactivity recovery.In Study 1, first-year...
Computational modeling plays an important role in a gamut of research fields. In affect research, continuous-time stochastic models are becoming increasingly popular. Recently, non-linear, continuous-time, model has been introduced for dynamics, called the Affective Ising Model (AIM). The drawback non-linear like AIM is that they generally come with serious computational challenges parameter estimation and related statistical analyses. likelihood function does not have closed form...
Lay wisdom suggests feeling negative while awaiting an upcoming stressor – anticipatory affect shields against the blow of subsequent stressor. However, evidence is mixed, with different lines research and theory indirectly suggesting that helpful, harmful, or has no effect on emotional outcomes. In two studies, we aimed to reconcile these competing views by examining affective trajectory across hours, days, months, separating reactivity recovery. Study 1, first-year students (N=101)...
<sec> <title>BACKGROUND</title> The experience sampling methodology (ESM) has long been considered as the gold standard for gathering data in everyday life. In contrast, current smartphone technology enables us to acquire that are much richer, more continuous, and unobtrusive than is possible via ESM. Although obtained from smartphones, known mobile sensing, can provide useful information, its stand-alone usefulness limited when not combined with other sources of information such ESM...