Neurocognitive and Physiological Effects of Meditation

Abstract

In recent years, brain-computer interface (BCI) technology has made significant progress in multiple interdisciplinary fields, especially with the combination of artificial intelligence, neuroscience and computing technology, which has achieved the decoding of human thinking and enabled patients who cannot speak to express their ideas again. This article mainly discusses the application of BCI in restoring language function, especially the research progress for patients with amyotrophic lateral sclerosis (ALS). First, this article introduces the lateralization of brain language function and analyzes the key brain areas involved in language generation and expression. These areas work together to complete the conception, organization and final muscle control of language. Secondly, this article focuses on the application of BCI in patients with language disorders, especially the case of ALS patients. The study obtains language-related brain signals by implanting microelectrode arrays and decodes them in combination with artificial intelligence algorithms, so that patients can display what they want to express on the screen. Finally, this article discusses the brain signal decoding technology based on EEG and phoneme analysis and summarizes the limitations of BCI technology in language restoration, such as the service life of implanted devices and brain atrophy of patients. Despite the challenges still faced, the continued development of BCI technology is expected to bring a higher quality of life to patients with aphasia and play a greater role in the field of neurorehabilitation in the future.