Mental Health Sciences
     
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Ongoing projects

 

Les recherches de Martin Desseilles concernent la santé et plus particulièrement la santé mentale. Elles s’articulent autour de l’étude des interactions entre les cognitions et les émotions à travers différentes techniques (comportementale, pharmacologique, électrophysiologique et de neuroimagerie), différents états (éveil, sommeil, hypnose et méditation) et dans différentes populations (personnes en bonne santé, personnes avec un trouble de l’humeur, personnes avec un trouble anxieux, personnes avec une surconsommation de substance toxique, …). Martin Desseilles s’intéresse également au domaine de l’eHealth et collabore à des projets de recherche utilisant les applications mobiles pour traquer la santé et le bien-être.

 

Etude clinique et multimodale des interactions entre les cognitions et les émotions

 

Certaines recherches s’intéressent à l’étude des déterminants bio-psycho-sociaux régissant les émotions, les cognitions et les comportements chez les individus, dans leurs rapports à l’autre, que ce soit le couple, la famille, le groupe ou la société. Ces systèmes peuvent être confrontés aux dysrégulations émotionelles, cognitives et comportementales d’un de leurs membres, parfois particulièrement vulnérable. Par exemple, nous étudions les déterminants bio-psycho-sociaux modulant la psychopathologie individuelle dans ses rapports à l’autre, tel que, par exemple, l’impact de la valorisation et de la dévalorisation d’un patient alcoolique par son entourage. Nous proposons d’appliquer des mesures d’intervention sur base de ces recherches. Un autre exemple est le sommeil, un déterminant individuel majeur du bien-être personnel et relationnel. Nous nous intéressons ainsi à l’impact du sommeil sur la régulation des émotions et des cognitions et étudions son impact en clinique. Un autre exemple sont les liens qui unissent dépression et suicide, tant dans les aspects de modélisation, que dans l’évaluation psychologique et neurobiologique en vue d’une meilleure prévention de ce risque majeur.

 

Vulnerabilities and societies

 

Several psychosocial research projects dedicated to the exploration of the interrelationship between psychology and health, in the context of work and business have been conducted.

 

Etude longitudinale du bien-être et de la qualité de vie dans la population générale et étudiante

 

L’objectif concerne l’étude longitudinale du bien-être et de la qualité de vie de sujets sains. L’objectif sera de mieux comprendre les facteurs qui contribuent le plus à prédire le bien-être et la qualité de vie, ces facteurs pouvant être liés, selon la définition donnée par l’Organisation Mondiale de la Santé en 1994, à la santé physique de la personne, son état psychologique, son niveau d’indépendance, ses relations sociales, ses croyances personnelles et sa relation avec les spécificités de son environnement.

 

Clinical Hypnosis

 

L’objectif de cette étude est d’examiner l’utilité de l’hypnose médicale dans la prise en charge des patients diabétiques de type 1 souffrant d’un déséquilibre glycémique depuis plus de 6 mois, malgré la prescription d’un traitement pharmacologique et diététique adéquat. L’utilité de l’hypnose médicale sera examinée en fonction de deux critères : sa capacité à améliorer (à court et à moyen terme) l’équilibre glycémique des patients habituellement en déséquilibre chronique et sa capacité à augmenter leur qualité de vie.

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Food and mental health

 

These researches propose a biopsychosocial perspective on the links between mental health and nutrition. In particular, we discuss the links between nutrition, its social role and mental health. The act of eating is studied as a social integrator and regulator, in the light of Durkheim’s theorization of suicide. Nutrition is also examined as self-destruction, with particular cases of “diet-related suicide.” De-structuring of meals and alienating foods are identified as contributing factors to the de- structuring of “nutrition models.” We then discuss the place of food within the psychopathology, and finally, the links between biological parameters reflected in food and psychopathological vulnerability. Avenues of research and intervention along this bio-psychosocial approach are also proposed.-

 

Download presentation on food and mental health by François Desseilles

Download article on food sexuality and psychopathology

Learn more about emocooking project

 

Stress and Ageing : a Transdisciplinary Research Approach (SATRAP)

 

In this collaborative project we would like to integrate the transdisciplinary study of ageing by a theoretical analysis of the concept of stress. We will compare the subjective definition of stress (sociological and psychological surveys) with objective markers of stress (biological markers). The study of stress will highlight concepts of healthy ageing and active ageing. More precisely, it will also provide policy recommendations to improve the quality of life of older people in the future.

 

 

Reality mining and new media: from big-data to personalized health care

 

Martin Desseilles and Renaud Lambiotte organize informal meetings, called eStorming meetings, on reality mining and new media in which participants are invited to present core articles and the progress of their research projects. The idea is to propose a time window when to foster creativity and innovation, and to identify cutting edge research questions. eStorming meetings are the opportunity to explore new directions through discussions and interactions. After an important idea is identified, we would perform a small-scale experiment to test the concept and, if successful, apply for additional funding to fully develop it. if you are interested to participate or attend one of these eStorming meetings thank you to send an email to eStorming@mentalthealthsciences.com

 

Master thesis on Hyperlearling

One of the Hyperlearning project goals is to see how we can interact with the various concepts related to learning and memory using current technologies. The result is the development of a web platform adapted to all types of popular devices among students: computers, smartphones and tablets. This platform aims to provide questionnaires to students in different forms : MCQ and/or with images. Students responding to online questionnaires integrate knowledge related to the course more easily while enjoying easy access, work autonomy, flexibility in working time and a pace appropriate to each.
Questions can be asked before or after the course, the difference is the level of benefits provided. Indeed, post-question provides repetition and feedback on information learned earlier while pre-question leads the student to focus on the information that will be received later. In all cases, the student can answer a questionnaire as many times as desired and feedback on the question is given after each student's answer (whether it is correct or false), this process allows links between the knowledge or information reminders.

This project is carried out by Julien Lebutte, graduated from the Haute Ecole de Namur and currently a student at Department of Computer Science of the University of Namur (Belgium). Currently, he is working with the Dr Martin Desseilles at the Department of Psychology on his master's thesis. His work is co-promoted by Vincent Englebert at the faculty of Computer Science.  In parallel with studies, he is also an editor for several news sites about new technologies and became Microsoft Student Partner in 2010. Passionate developer, Julien participated in the Imagine Cup 2012, a worldwide competition reserved for students. His specialties are web and mobile developments, primarily using Microsoft solutions.

Master thesis on the contribution to the study of the measurement and analysis of heart rate variability in real time and in a contextual way

The main objective of this master thesis is to implement a continuous monitoring to of the heart rate in order to derive the low and high frequency of heart rate variability (e.i. sympathetic and parasympathetic components). Heart rate will be obtained via a heart rate transmitter and coupled with real-life questions about activities and psychological status. This would lead to a better understanding of transient phenomena, characteristics of disorders related to mental health (anxiety, depression, but also confusion, forgetfulness, intense stress) and linked to disregulation of the autonomic nervous system.

Lucas Pisuto is a student in final year of Master in Computer Science from the Faculty of Computer Science at the University of Namur (Belgium). After graduating in Business Computing from the Haute École Provinciale de Hainaut-Condorcet (Charleroi) in 2012, he decided to continue his studies and began the preparatory year to Master in Computer Science at the University of Namur in order to earn a master's degree. Currently, he is working with the Dr Martin Desseilles at the Department of Psychology on his master's thesis on a project related to e-health. His work is co-promoted by Vincent Englebert at the faculty of Computer Science. In a nutshell, this work aims to contribute to the study of the measurement and analysis of heart rate variability in real time and in a contextualized way aiming at a better understanding of transient phenomena, characteristics of disorders affecting mental health (anxiety, depression but also confusion, forgetfulness, intense stress). To learn more about heart rate variability, he went to Montreal (Quebec, Canada) to work in a research laboratory at Concordia University managed by the Professor Jean-Philippe GOUIN who is specialized in the study of heart rate variability.

 

Master thesis on motor patern detection through Kinect

The thesis aims to detect soft signs of depression, parkinson or other neuropsychiatric disorders with an impact on motor system, in order to diagnose, prevent and intervene. Our approach is to extract data from the movements of a person which is performing a set of simple tasks in front of a Kinect device by tracking the body, including the face and the fingers. Then these data will be crossed with clinical data that have been previously collected. Afterward these data will noursih an algorithm which would be able to provide a probability of a certain diagnosis. A significant step is to generate large databases which will contain a lot of motor disorders samples in order to give the ability to the algorithm to perform a classification by using all these training data.
Steven Von Haus is a final-year Master student in Computer Sciences at the University of Namur. In 2012, he graduated from the Haute-École-Namur-Liège-Luxembourg and got a bachelor degree in Business Computing. Then he began the preparatory year to master’s degree in Computer Sciences at the University of Namur in 2012 in order to get a Master degree. Actually, he is working for his Master thesis on an e-health project with Dr Martin Desseilles at the Department of Psychology of the University of Namur (Belgium). His work is co-promoted by Vincent Englebert at the faculty of Computer Science. In a nutshell, this project aims to detect soft signs of depression, parkinson or other neuropsychiatric disorders with an impact on motor system, in order to diagnose, prevent and intervene. For his project he had to specialize in Machine Learning, Computer Vision and also in the impact of neuro-psychological diseases on the motor system. Moreover, to improve his skills, he travelled to Montréal (Canada, Quebec) and worked at Polytechnique Montreal in a research laboratory specialized in Computer Vision and Machine Learning, which is managed by the Professor Cristopher J. Pal.

 

 
     

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