Chronic pain studies:
Sickle cell anemia patients: a perspective based on the Graph Theory
Chronic pain is a complex, unexplained phenomenon, which affects 37% of the brazilian population and costs millions of dollars every year. Based on the hypothesis that chronic pain shifts the brain connectivity patterns, we utilize the Graph Theory to represent the neural activity during resting and imagery sessions, analyzing the pattern changes between normal and affected individuals.
Sickle cell anemia patients: a perspective based on the Dynamic Systems Theory
We use a causality measure from the Dynamic Systems Theory to represent the neural activity during resting and imagery sessions, identifying divergences and performing a statistical analysis between normal and affected individual groups.
Variations on the central nervous system on temporomandibular joint dysfunction patients
Temporomandibular Joint Dysfunction, in its many manifestations, affects a considerable part of the world population, and it's chronification is a recurrent effect on patients. We utilize a complexity measure from Graph Theory to represent the neural activity during resting and imagery sessions, analyzing the pattern changes between normal and affected individuals.
Arthrosis patients
Arthrosis affects two million brazilians every year, mostly elders. In this project we investigate chronic pain in arthrosis patients, based on the hypothesis that chronic neuropathic pain shifts the cerebral connectivity patterns. We utilize the small world parameter from brain networks to compare normal and affected individuals connectivity, for a better understanding of neuropathic pain and the development of more specialized treatment methods.