Projekte
GPS-triggered e-diaries, neuroimaging and genetics to unravel urbanicity risks for schizophrenia
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Recent evidence suggests that the heightened prevalence of mental disorders in cities is caused by altered neural stress processing. To uncover the specific environmental sources of urban stress, we use innovative GPS-triggered e-diaries. In detail, GPS-triggered e-diaries continuously monitor participants’ locations. Changes are traced in real time on environmental components maps, covering traffic noise, population density etc., and trigger e-diary queries for affect and stress-reactivity. Methodologically, GPS-triggered e-diaries maximize the within-subject variance in real-time. The study is part of an ongoing longitudinal study (PEZ: Psychiatric-epidemiological center) combining GPS-triggered e-diaries with fMRI and biomarkers. PEZ is headed by Prof. Meyer-Lindenberg (CIMH Mannheim, Germany) and supported by the Ministry of Science, Research and the Arts of the State of Baden-Württemberg. |
Activity-triggered e-diaries to investigate the mood-brightening effect of physical activity in patients with Depression or Anorexia
| Although empirical studies evidence that structured exercise reduces depressive symptomatology, the underlying mechanisms are poorly understood. We use activity-triggered e-diaries pre and post a ten-week running program to investigate the within-subject dynamics between physical activity and mood in depressed students. In detail, physical activity is assessed and preprocessed on an accelerometer worn on the hip. Via Bluetooth low energy data are transmitted to a smartphone, triggering e-diary assessments if specified thresholds of activity or inactivity are surpassed. Methodologically, activity-triggered e-diaries maximize the within-subject variance in real-time. The study is run in cooperation with the Psychotherapeutic Counselling Centre, Karlsruhe. This methodological approach is also applied to investigate the relation between physical activity and mood in patients suffering from anorexia nervosa, a collaborative project headed by Prof. Zeeck (Medical Center at the University of Freiburg; funded by the Swiss Anorexia Nervosa Foundation). |
Long-term tracking of communication and behaviour to predict new episodes in bipolar disorder
Bipolar disorders are severe chronic illnesses marked by recurrent episodes of depression and (hypo-)mania. Prevention is essential since these episodes are associated with marked impairment in social and occupational functioning. We conduct a randomized, multi-center, observer-blind, parallel group controlled trial with an 18-month intervention phase to investigate whether early warning signs of new depressive or (hypo-)manic episodes and individual threshold-based early interventions will prolong time to a new mood episode. In details, we continuously assess telephone usage (phone calls, text messages and internet usage), movement behavior (steps, movement patterns and activity classes) as well as location (GPS-data) across 18 months. Individual symptom thresholds are defined during 4 consecutive weeks of stabilization. Patients with randomization criteria enter the intervention phase for 18 months. This includes real-time data capturing and data-driven individual symptom-threshold-defined therapeutic interventions in addition to state-of-the-art maintenance treatment.
High-frequency monitoring of affective dynamics to characterize borderline personality disorder and to predict its treatment outcome
| Psychopathology is not simply experiencing weird symptoms or more negative than positive affect. Such a static view would ignore the moment-to-moment ebb and flow of symptoms, which characterizes the disorders. In a current DFG funded study “Developing mixed-latent-state-trait-models to analyse the temporal characteristics of affect and self-esteem in borderline personality disorder” we do hypothesize that the dynamical covariation of affect and self-esteem is specific for BPD. As current statistical models are limited for this kind of analyses, we will expand ordinary mixed-latent-state-trait-models to multigroup-multitrait-mixed-autoregressive-latent-state-trait-growth-curve-models. This project is run in cooperation with Prof Michael Eid (FU Berlin) and Prof. Dr. Martin Bohus (Central Institute of Mental Health, Mannheim). |
Ambulatory Assessment Interventions: Reducing stress and procrastination with a smartphone app
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The primary aim of every psychological intervention is to induce some kind of change in the behaviour of the participants. To bring about substantial behavioural change, principles and strategies taught to the participants have to be transferred to their every-day-life. Ambulatory Assessment techniques help to meet that challenge by prompting individuals to apply their skills, when and where they are needed, fostering engagement and adherence, while reducing the required frequency of face-to-face sessions. Therefore, we implemented two IT-based interventions using mobile devices (smartphones). Both of these Ambulatory Assessment Interventions facilitate self-monitoring processes using real-time suggestions and feedback. The first intervention is designed to (1) examine the time-dependent change-processes underlying the emergence of procrastination and (2) to reduce academic procrastination by strengthening students everyday self-regulation (funding: BMBF). The second intervention is integrated in a stress prevention and -management program, where e-diaries are used to support students in critical situations (funding: Techniker Krankenkasse). |
m-Health for measuring and monitoring impulsivity and compulsivity in interaction with physical activity and dietary patterns in mental illnesses
Elena Koch (PhD candidate)
Melina Bopp (B.A. Sport Science)
Clara Hausmann (B.Sc. Psychology)
Um zu testen, ob körperliche Aktivität mit Ernährungsmustern interagiert und impulsive oder zwanghafte Verhaltensweisen hierdurch modifiziert werden können, entwickeln wir unsere mHealth-App weiter, die bereits im CoCA-Projekt implementiert wurde. Das mobile Messinstrument erfasst Nahrungszufuhr, körperliche Aktivität, den zirkadianen Rhythmus sowie impulsives und zwanghaftes Verhalten. Impulsivität wird hierbei sowohl über subjektive Ratings, als auch über neuropsychologische Messungen mittles kognitiver Tests am Smartphone realisiert. Die Studie ist Teil des EU-finanzierten Projekts “Effects of Nutrition and Lifestyle on Impulsive, Compulsive, and Externalizing behaviors” (Eat2beNICE), das epidemiologische, genetische und psychologische Experimentalstudien vereint, um die Effekte von Ernährungsverhalten auf psychische Erkrankung zu erforschen. Weitere Informationen lassen sich der Website des Projekts entnehmen: https://newbrainnutrition.com.
Contact:
Elena Koch, Sportwissenschaftlerin (M.A.)
Karlsruher Institut für Technologie (KIT)
Institut für Sport und Sportwissenschaft
Mental mHealth Lab / Lehrstuhl für Angewandte Psychologie
Hertzstr. 16, Geb. 06.31, Raum 011, 76187 Karlsruhe
Telefon: +49 721 608 - 41973
E-Mail: elena.koch∂kit.edu
Partners:
Prof. Dr. Ulrich Ebner-Priemer
Karlsruhe Institute of Technology
Department of Sport and Sport Science, Chair of Applied Psychology
Prof. Andreas Reif
Klinikum der Johann Wolfgang Goethe Universität Frankfurt/Main
Psychosomatic Medicine and Psychotherapy
Dr. Silke Matura
Klinikum der Johann Wolfgang Goethe Universität Frankfurt/Main
Psychosomatic Medicine and Psychotherapy
Förderung:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 728018.
Elena Koch (PhD candidate)
Melina Bopp (B.A. Sport Science)
Clara Hausmann (B.Sc. Psychology)
Als Teil des EU-finanzierten Forschungsprojekts Comorbid Conditions of ADHD (CoCA) untersuchen wir die Wirksamkeit non-pharmakologischer Interventionen zur Verbesserung der Kernsymptomatik sowie komorbider Störungsbilder bei ADHS-diagnostizierten Patient*innen und gesunden Kontrollen. Mittels der hierfür entwickelten mHealthApp und tragbaren Bewegungssensoren erheben wir eine Vielzahl physio- und psychometrischer Variablen im ambulanten Setting. Die Versuchspersonen führen smartphone-gestützte elektronische Tagebücher, die u.a. die momentane Stimmung und das Erleben emotionaler Ereignisse erfassen. Der Sensor verarbeitet Messsignale zur Lagebestimmung, 3D-Beschleunigung oder Lichtsituation, aus denen sich ein großes Spektrum sekundärer Parameter errechnen lässt (vgl. Energieumsatz, Schrittzahl, Schlafdauer). Die erprobten Sport- und Lichttherapien werden durch Erinnerungstrigger, Instruktionsvideos und tägliches Feedback ebenfalls mithilfe der mHealthApp angeleitet.
Contact:
Elena Koch, Sportwissenschaftlerin (M.A.)
Karlsruher Institut für Technologie (KIT)
Institut für Sport und Sportwissenschaft
Mental mHealth Lab / Lehrstuhl für Angewandte Psychologie
Hertzstr. 16, Geb. 06.31, Raum 011, 76187 Karlsruhe
Telefon: +49 721 608 - 41973
E-Mail: elena.koch∂kit.edu
Partners:
Prof. Dr. Ulrich Ebner-Priemer
Karlsruhe Institute of Technology
Department of Sport and Sport Science, Chair of Applied Psychology
Prof. Jonna Kuntsi
King’s College London
Institute of Psychiatry, Psychology and Neuroscience
Prof. Andreas Reif
Klinikum der Johann Wolfgang Goethe Universität Frankfurt/Main
Psychosomatic Medicine and Psychotherapy
Prof. Christine Freitag
University Hospital of Frankfurt/Main
Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy
Prof. Josep Antoni Ramos-Quiroga
Hospital Universitari Vall d‘Hebron
Department of Psychiatry
Prof. Jan Buitelaar
Donders Institute for Brain, Cognition and Behaviour
Departments of Human Genetics, Psychiatry and Cognitive Neuroscience
Förderung:
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 667302.