Improvement of perception and learning through neurofeedback.
Résumé de l'étude
Neuroscience has long focused on understanding brain activity during task execution. Therefore, current training methods aim to maximize brain activation during a trained task. However, new findings suggest that this may not be an efficient way. Human subjects achieve maximum performance only when the brain network is in a state of high spontaneous interaction and communication between brain regions prior to training. We refer to this as a state of high 'network communication.' In this case, only minimal effort is required during the task. This necessitates new learning strategies aimed at inducing higher network communication before task execution. We have already shown that healthy individuals can learn to increase the network communication of motor areas (i.e., the areas that control movement) when they receive real-time feedback on their current activity, known as neurofeedback. With neurofeedback, participants receive continuous feedback on the state of their brain activity at that moment. Through this feedback, they can learn to change their own brain activity. Nevertheless, we still do not know whether this increase in network communication can lead to an improvement in learning new tasks. Because learning fine movements (so-called 'motor learning') is of primary importance for all aspects of life, the goal of the current study is to find out whether an increase in brain activity through neurofeedback can lead to improved motor learning.
(BASEC)
Intervention étudiée
We have seen in a previous study that participants are unable to improve their network communication from visual brain regions (i.e., regions that process light stimuli) through neurofeedback when the feedback is perceived with the eyes. Therefore, the goal of Experiment 1 is to find an alternative form of feedback through which participants can efficiently increase network communication. Specifically, participants receive neurofeedback in the form of sound, vibration on the skin, or both.
In Experiment 2, the neurofeedback modality from Experiment 1 will be adopted to test whether the increase in network communication through neurofeedback can lead to improved motor learning.
In both experiments, participants will undergo magnetic resonance imaging (MRI). This MRI will help us increase the precision of the neurofeedback.
(BASEC)
Maladie en cours d'investigation
We are investigating whether participants can enhance communication between brain regions through a technology called neurofeedback, and whether this enhancement can improve visual perception and the learning of fine movements. Only healthy subjects will be recruited for the study.
(BASEC)
- Signed informed consent - Age over 18 years - Normal or corrected vision - No neurological or psychiatric disorders - No regular use of benzodiazepines (e.g., Xanax, Valium, etc.) or antipsychotics (e.g., Zyprexa, Seroquel, etc.) (BASEC)
Critères d'exclusion
- Surgical intervention on the brain - Drug or alcohol abuse - Presence of non-MRI-compatible metals in the body (BASEC)
Lieu de l’étude
Berne
(BASEC)
Sponsor
Inselspital Bern
(BASEC)
Contact pour plus d'informations sur l'étude
Personne de contact en Suisse
Adrian Guggisberg
+41 (0)22 372 3706
adrian.guggisberg@clutterhug.chUniversitätsspital Genf
(BASEC)
Informations générales
Division of Neurorehabilitation, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
(ICTRP)
Informations générales
Division of Neurorehabilitation, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland.
+41316323081+41316323081
adrian.guggisberg@clutterhug.ch(ICTRP)
Nom du comité d'éthique approbateur (pour les études multicentriques, uniquement le comité principal)
Commission cantonale d'éthique de Berne
(BASEC)
Date d'approbation du comité d'éthique
07.11.2022
(BASEC)
Identifiant de l'essai ICTRP
NCT05732649 (ICTRP)
Titre officiel (approuvé par le comité d'éthique)
Improving visual perception and visuo-motor learning with neurofeedback of brain network interaction. (BASEC)
Titre académique
Improving Visual Perception and Visuo-motor Learning With Neurofeedback of Brain Network Interaction. (ICTRP)
Titre public
Improving Visual Perception and Visuo-motor Learning With Neurofeedback of Brain Network Interaction. (ICTRP)
Maladie en cours d'investigation
Healthy (ICTRP)
Intervention étudiée
Behavioral: Auditory neurofeedbackBehavioral: Tactile neurofeedbackBehavioral: Auditory and tactile neurofeedbackBehavioral: Neurofeedback (ICTRP)
Type d'essai
Interventional (ICTRP)
Plan de l'étude
Allocation: Randomized. Intervention model: Factorial Assignment. Primary purpose: Treatment. Masking: Single (Participant). (ICTRP)
Critères d'inclusion/exclusion
Inclusion Criteria:
- Signed informed consent
- Age at least 18 years old
- Normal or corrected-to-normal vision
- No neurological or psychiatric diseases
- No regular consumption of benzodiazepines or neuroleptics
Exclusion Criteria:
- Any surgical intervention to the brain
- Drug or alcohol abuse
- Presence of non-MRI safe metal in the body (ICTRP)
non disponible
Critères d'évaluation principaux et secondaires
Changes in network communication (ICTRP)
Visual perception;Visuo-motor learning (ICTRP)
Date d'enregistrement
non disponible
Inclusion du premier participant
non disponible
Sponsors secondaires
University of Bern (ICTRP)
Contacts supplémentaires
Adrian Guggisberg, Prof. Dr., Division of Neurorehabilitation, Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland. (ICTRP)
ID secondaires
2022-00976 (ICTRP)
Résultats-Données individuelles des participants
non disponible
Informations complémentaires sur l'essai
https://clinicaltrials.gov/ct2/show/NCT05732649 (ICTRP)
Résultats de l'essai
Résumé des résultats
non disponible
Lien vers les résultats dans le registre primaire
non disponible