Abstract

Today we live in an era of the third industrial revolution, because technology is present in all areas from education, health to the business world. After the SARS-CoV-2 2019 pandemic, many users cannot perform work activities without an electronic device and mental health professionals are no exception. Neuropsychology is booming because of its great contributions on executive functions and their influence on daily life, but neurodegenerative diseases are part of this process, that is why neurorehabilitation must be dynamic and its main objective the patient’s recovery. Advances in Neuroscience are exploring the use of artificial intelligence and machine learning to develop effective and personalized rehabilitation programs. These technologies could analyze large amounts of patient data to identify recovery patterns and predict outcomes. In this research, we accessed the database of theses and current scientific articles from national and international indexed journals, which form theories and concepts of reliable rigor. The work has a qualitative approach, while its design is non-experimental and descriptive. It has presented a limitation, not evidencing a population and sample, only bibliographic data, it is expected to investigate in the peripheries through surveys or interviews to some person who has been favored of one of the advances of this discipline to offer better results. At the moment we contribute to the review of concepts and to the formation of readers.

Keywords

neurorehabilitation, neuropsychology, neurodegenerative, psychology, neuroplasticity