Executive Vice Rectorate of Graduate Studies and Research
Capes PrInt

Application and development of neurotechnologies in the diagnostic and therapeutic management of neurological disorders

Coordinator: Prof. Dr. Ricardo Mario Arida


In general, we will cover the applicability, development and improvement of techniques in neurological disorders including multimodal techniques, ”data mining”; ”machine learning” and neuromodulation. Environmental stimuli induce a dynamic neuronal arrangement and also a cognitive representation generating a sense of unity, also known as a body schema. Understanding how the perception of limbs is arranged in the central and peripheral nervous systems is fundamental, since the lower limbs are the main effectors of spatial displacement of the individual, requiring a recruitment of neural pathways of planning and decision making for long distances. An Integrated Biofeedback System will improve therapeutic strategies and efficiency of rehabilitation processes. The objectives of this project are: to develop new platforms of assistive, integrated and interactive technologies for the rehabilitation of people with dysfunctions; Implementation of clinical rehabilitation procedures for people with neurocognitive or sensory-motor dysfunction; develop an experimental, real-time and interactive protocol that allows the investigation of neurocognitive and behavioral aspects involved in the learning process and body representation. This project will include international partnership. Regarding the improved efficacy of indications for invasive procedures, our project draws attention to epilepsy, which affects around 70 million people worldwide. Mesial temporal lobe epilepsy and hippocampal sclerosis are frequent and sometimes progressive, with worsening of cognitive function and psychiatric disorders and even death. In this scenario, resective surgery has been recognized as an effective treatment in drug-resistant epilepsy. However, highly reliable criteria for a robust prediction of postoperative outcomes are still, to date, non-existent. Our proposal has the potential to enable health systems to use a large amount of information about their patients and, based on systematic analysis, be able to identify problems, improve treatments and diagnoses, reduce treatment inefficiencies, modify informational exams and improve practices in patient care the methods used in “Data Mining” and ”Machine Learning”. Evidence-based clinical practices have great repercussions in the adoption of public policies in several countries. Finally, the use of transcranial direct current stimulation combined with integrative speech therapy in a blind and randomized study will evaluate the effects of stimulation on cognition, executive functions, communication and language in patients with Attention disorder, Dyslexia and other developmental disorders. This trial will be carried out in conjunction with international centers.

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