Makoto Miyakoshi, PhD

I am Makoto Miyakoshi, an electroencephalogram (EEG) researcher. My specialty is performing EEG preprocessing and data mining using linear methods such as independent component analysis (ICA) and general linear model (GLM) and non-linear methods such as machine learning algorithms. I develop MATLAB code to perform signal processing, apply statistics, and visualize data for various clinical and neurocognitive projects. My research interest ranges from methodological development, writing software application and demonstrating them by applications. My research goal is to contribute to the basic science of EEG phenomena, EEG not as a tool for correlational analyses but as a target of electrophysiology.

I became interested in this field around 2004 after reading seminal works by the Swartz Center for Computational Neuroscience directed by Dr. Scott Makeig on applying ICA to human EEG data. I started Makoto’s preprocessing pipeline (https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline) in 2014 at the Swartz Center as a post-doc. Around 2018, I started a translation project for ‘Electric Fields of the Brain’ by Nunez and Srinivasan into Japanese with the original authors’ support.

I joined Cincinnati Children’s in 2022 to start my position as an assistant professor within the UC Department of Psychiatry and Behavioral Neuroscience. I look forward to working with researchers from various fields, including clinical, psychological/cognitive scientific and engineering.