RESUMO
Anorexia nervosa has been related to alterations in brain activity in terms of hyperactive EEG patterns. This case report illustrates the principles and results of a five-week neurofeedback treatment in a 29-year-old woman suffering from anorexia nervosa. A neurofeedback protocol to enhance alpha activity (8â-â12âHz) was developed and conducted additionally to the standardized treatment for eating disorders in training sessions twice a week. Pre- and post-test measurements included resting state EEG measurements and a psychological test battery. The results show improvements from pre- to post-test in eating disorder psychopathology including psychological wellbeing, emotional competence, and eating behavior traits. In addition, a decrease in theta power (4â-â7âHz), a well-known trait marker of anorexia nervosa, was measured. However, our data should be interpreted with caution because this is a single case study. Nevertheless, this report documents the practicability and method of neurofeedback as treatment adjunct in eating disorders from the clinical perspective. Although the use of neurofeedback in the treatment of anorexia nervosa is recommended in literature, empirical studies are still lacking. Randomized controlled trials to evaluate short- and long-term effects of neurofeedback are needed.
Assuntos
Anorexia Nervosa/terapia , Neurorretroalimentação , Adulto , Ritmo alfa , Anorexia Nervosa/psicologia , Eletroencefalografia , Emoções , Comportamento Alimentar , Feminino , Humanos , Neurorretroalimentação/métodos , Testes Neuropsicológicos , Ritmo Teta , Resultado do TratamentoRESUMO
The Graz-brain-computer interface (BCI) is a cue-based system using the imagery of motor action as the appropriate mental task. Relevant clinical applications of BCI-based systems for control of a virtual keyboard device and operations of a hand orthosis are reported. Additionally, it is demonstrated how information transfer rates of 17 b/min can be acquired by real time classification of oscillatory activity.
Assuntos
Esclerose Lateral Amiotrófica/reabilitação , Membros Artificiais , Auxiliares de Comunicação para Pessoas com Deficiência , Eletroencefalografia/métodos , Quadriplegia/reabilitação , Interface Usuário-Computador , Esclerose Lateral Amiotrófica/fisiopatologia , Encéfalo/fisiopatologia , Cognição , Eletroencefalografia/instrumentação , Potenciais Evocados , Mãos , Humanos , Internet , Educação de Pacientes como Assunto/métodos , Projetos Piloto , Telemedicina/métodosRESUMO
This paper describes a paralyzed patient diagnosed with severe infantile cerebral palsy, trained over a period of several months to use an EEG-based brain-computer interface (BCI) for verbal communication. The patient learned to "produce" two distinct EEG patterns by mental imagery and to use this skill for BCI-controlled spelling. The EEG feedback training was conducted at a clinic for Assisted Communications, supervised from a distant laboratory with the help of a telemonitoring system. As a function of training sessions significant learning progress was found, resulting in an average accuracy level of 70% correct responses for letter selection. At present, "copy spelling" can be performed with a rate of approximately one letter per minute. The proposed communication device, the "Virtual Keyboard", may improve actual levels of communication ability in completely paralyzed patients. "Telemonitoring-assisted" training facilitates clinical application in a larger number of patients.