1. Real-time fMRI neurofeedback -- a promising tool for treating tinnitus.
- Author
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Wolak, T., Rogala, J., Wojciechowski, J., Cygan, B. H., and Wójcik, J.
- Subjects
TINNITUS treatment ,MAGNETIC resonance imaging ,CONFERENCES & conventions ,PHYSIOLOGICAL control systems - Abstract
Chronic tinnitus is often associated with cognitive and emotional problems, such as excessive stress, sleeping disorders and relaxation, anxiety disorders. We assumed that application of real time fMRI neurofeedback helps to reduce stress and negative feelings caused by tinnitus. Haller et al. made the first attempts to treat tinnitus with rt-fMRI-neurofeedback in 2010. Based on the results of studies showing that disruption of the auditory cortex with TMS promotes noise reduction (Kleinjung et al. 2005) Haller et al. conducted an experiment on which people suffering from tinnitus have undergone therapy aimed at reducing the activity of the auditory cortex. Surveys (TFIs) carried out 2 weeks after training showed improvement in 2 out of 6 subjects. More recent studies on the effectiveness of auditory cortex deactivation training in tinnitus therapy conducted in two experimental groups including continuous and intermittent neurofeedback showed greater effectiveness (at trend level) of continuous training measured using the TFI scale immediately after training and 6 weeks later (Emmert et al. 2017). The above results indicate the limited effectiveness of tinnitus therapy by reducing the activity of the auditory cortex with rtfMRI- neurofeedback therapy. This is probably due to both the undetermined etiology of this disease and the early developmental stage of the therapy used. Recent reviews indicate the efficacy of rt-fMRI-neurofeedback in changing brain activity in targeted areas in approximately 60% of studies (Alkoby et al. 2018; Thibault et al. 2018) while behavioral changes are observed in about 40% of studies (Thibault et al. 2018), and clinical improvement of patients in 20--30% (Thibault et al. 2018). The relatively high effectiveness of modulation of brain activity using rt-fMRI-neurofeedback gives the possibility of a causal study of neuronal mechanisms in both a healthy brain and pathological conditions, and the study of the impact of the activity of various structures on improving the functioning of patients (e.g. amygdala in tinnitus [Davies'a et al. 2017]). Mechanisms of rt-fMRI-neurofeedback are particularly interesting from both a cognitive and clinical point of view. Understanding these mechanisms would make it possible to consciously modulate the activity of brain structures and their impact on the causes and symptoms of studied disorders. To this aim, by using the new possibilities resulting from the continuous development of new rt-fMRI-neurofeedback methods (training individualization, process training sessions, the use of machine learning methods) and the availability of open software (openNFT, opendecnef), we have undertaken research aimed at understanding the mechanisms of neurofeedback and the possibilities transfer of brain autoregulation skills between modalities of stimuli and feedback signals used. This work is proof of concept study. [ABSTRACT FROM AUTHOR]
- Published
- 2022