Neurofeedback-based Visual Restoration Therapy
Adrian Guggisberg
14 participants
Nov 17, 2025
INTERVENTIONAL
Conditions
Summary
Visual field defects are a common consequence of acquired brain injuries and affect people of all ages. These vision problems make everyday life more difficult-for example, when reading, driving, or moving around safely. However, there is currently no effective therapy to improve visual field defects. Previous training methods have focused on maximizing brain activity during a task. However, new findings show that the best performance is achieved when the brain is already in a state of high communication before the task. Our research shows that people can learn to increase communication between brain regions through neurofeedback. Studies have shown that neurofeedback can help people after a stroke: it improves the coordination of brain areas that are important for movement, thereby helping to increase mobility. Building on these findings, this study investigates whether EEG neurofeedback can support the visual centers in the brain to improve vision in patients with chronic visual field defects. The main objective of the study is to evaluate the effectiveness of neurofeedback in improving visual field defects. More specifically, the investigators are investigating the development of visual ability (expansion of the visual field, contrast sensitivity).
Eligibility
Inclusion Criteria4
- Chronic, stable HVFD (homologous lateral quadranopsia or hemianopsia)
- months or more after stroke
- Age range 50-70
- Ability to provide informed consent
Exclusion Criteria5
- Inability to concentrate for long treatment sessions
- Eye disease with impact on visual field or acuity
- Presence of non-MRI safe metal in the body
- New stroke during study period
- Hemispatial neglect
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Interventions
The proposed neurofeedback approach relies on high-density electroencephalography (EEG) combined with advanced source localization algorithms. Data will be analyzed in real-time and simultaneously recorded for offline analysis. During each update, a data segment will be filtered between 1 and 20 Hz. The beamformer, computed at the beginning of the session, will be used to project the signal to the gray-matter voxels. The investigators will compute the alpha-band absolute imaginary coherence between a visual target area and the rest of the brain as index of functional connectivity. Global functional connectivity in the alpha band (8-13 Hz) between the voxels in the target region and the rest of the brain will be calculated.
Locations(2)
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NCT07237412