B03 Systematic understanding and realization of hyper-adaptive phenomena focusing on cognition and emotion
Mainly from the viewpoint of reorganization of the behavioral rules of the hyper-adaptability mechanism, methods are developed for verifying a hypothesis that emotion and sense of agency promote the behavioral emergence, which was set in this study. In stroke, cognitive motor function is lost due to brain circuit failure. Rehabilitation that is therapy aiming at restoring cognitive motor function, is considered as a hyper-adaptive process in which new motor functions is reorganized by making full use of the brain nervous system and musculoskeletal system that were not used in healthy condition, even though it is difficult to recover the brain nervous system completely to the state before onset. In this study, focusing on rehabilitation, the mechanism of hyper-adaptability is investigated from a systematical approach, and new rehabilitation methods are developed based on the investigation with verifying the hypothesis mentioned above.
In concrete, robotic interventional neuroscience platforms for humans and experimental animals (monkeys, rodents) are developed, and the effects of emotion and cognition on the reorganization of behavioral rules are investigated by using the platforms. By using the brain information decoding method that can estimate the function, the effects of emotion and cognition on motor learning are quantitatively investigated, analyzed, and modeled mathematically. Moreover, by applying the investigated findings, quantitative measurement and mathematical modeling of the hyper-adaptability process observed at the rehabilitation site are made, and based on this, new rehabilitation methods that can effectively promote the potential adaptability (hyper-adaptability) of the brain are developed and verified.
|Principal investigator||Hajime ASAMA||Professor, The University of Tokyo|
|Funded co-investigator||Jun IZAWA||Associate Professor, University of Tsukuba|
|Wen WEN||Project Associate Professor, The University of Tokyo|
|Qi AN||Associate Professor, Kyushu University|
|Co-investigators||Masafumi YANO||Professor Emeritus, Tohoku University|
|Atsushi YAMASHITA||Associate Professor, The University of Tokyo|
|Hiroyuki HAMADA||Project Assistant Professor, The University of Tokyo|
|Ningjia YANG||Postdoctoral Fellow, The University of Tokyo|