Hiroaki Mano

This study demonstrates how endogenous brain processes influence the effectiveness of closed-loop brain-machine interfaces for pain management.

This study uses machine learning and deep learning to classify chronic back pain patients based on brain network patterns, finding consistent changes in network topology and modular reorganisation.

This study identifies a central learning circuit that enables relief learning and modulates tonic pain levels through reinforcement learning and uncertainty signals.

The paper investigates ACC connectivity in rats with chronic pain and finds it correlates with reduced burrowing behavior, indicating a role in motivational suppression.