… Saori C. Tanaka for this book chapter (partly taken from the doctoral dissertation “Functional …
of serotonin in human reward system based on reinforcement learning theory” by Saori C. …

Previous animal experiments have shown that serotonin is involved in the control of impulsive
choice, as characterized by high preference for small immediate rewards over larger …

The capacity to accurately evaluate the causal effectiveness of our actions is key to
successfully adapting to changing environments. Here we scanned subjects using functional …

Mind-wandering (MW) is a universal human phenomenon and revealing its nature contributes
to understanding consciousness. The ecological momentary assessment (EMA), in which …

The ability to select an action by considering both delays and amount of reward outcome is
critical for survival and well‐being of animals and humans. Previous animal experiments …

Background The ability to select an action by considering both delays and amount of reward
outcome is critical for maximizing long-term benefits. Although previous animal experiments …

Abstract Machine learning classifiers for psychiatric disorders using resting-state functional
magnetic resonance imaging (rs-fMRI) have recently attracted attention as a method for …

When collecting large amounts of neuroimaging data associated with psychiatric disorders,
images must be acquired from multiple sites because of the limited capacity of a single site. …

Multisite magnetic resonance imaging (MRI) is increasingly used in clinical research and
development. Measurement biases—caused by site differences in scanner/image‐acquisition …

Many studies have highlighted the difficulty inherent to the clinical application of fundamental
neuroscience knowledge based on machine learning techniques. It is difficult to generalize …