Research at the Division of Applied Neuroendocrinology
There is no brake in the brain that controls body weight automatically. People must learn how to eat, as the research at the division shows. The division represents the research side of the problem of controlling human body weight. Treatment is provided at the Mandometer Clinic, which is contracted by the Stockholm County Council.
Humans cannot control their body weight and today, about 800 million people in the world are overweight. At the same time, many teenage girls suffer from anorexia nervosa, an eating disorder that is chiefly characterised by starvation and excessive exercise.
Anorexia, which is characterised by eating too little and exercising too much, and obesity, which is its opposite (eating too much and exercising too little), are studied using the same methods.
The Mandometer, a computerised feedback procedure, is the main tool, and has been in use for more than ten years. The Mandometer consists of a scale and a computer. It was developed at the division and is the only device of its kind in the world. You learn how much to eat with the aid of feedback signals displayed on the computer monitor during meals.
Research group leader Per Södersten
Per Södersten was appointed Professor in neuroendocrinological behavioral research on January 15th 2002 at Karolinska Institutet.
Personalised Guide for Eating and Activity Behaviour for the Prevention of Obesity and Eating Disorders
To provide behavioural guidance to high school students and young adults.
The European Community’s ICT Programme under Grant Agreement No. 610746, 01/10/2013 – 30/09/2016.
Intelligent Parkinson early detection guiding novel supportive interventions
- Build early detection tests for Parkinson’s disease based on users’ interaction with everyday technology.
- Design interventions to sustain the quality of patients‘ life over the course of Parkinson’s disease.
- Empower peopleto affect policies and reduce hospitalisation.
The i-PROGNOSIS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690494.