Makoto Miyakoshi, PhD
- Member, Division of Child and Adolescent Psychiatry
- Assistant Professor, UC Department of Psychiatry and Behavioral Neuroscience
About
Biography
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.
PhD: Psychology, Nagoya University, Nagoya, Aichi, Japan, 2011
Research Fellow: Human MRI, National Center for Geriatrics and Gerontology, Ohbu, Aichi, Japan, 2011
BA: Philosophy, Waseda University, Shinjuku, Tokyo, Japan, 2003
MS: Psychology, Nagoya University, Nagoya, Aichi, Japan, 2005
Post-doc Fellow: Human EEG, University of California San Diego, San Diego, CA, 2016
Interests
Computational neuroscience
Research Areas
Publications
Prediction of treatment response in infantile epileptic spasms syndrome using EEG phase-amplitude coupling. Epilepsia Open. 2026; 11(3):801-813.
Gaboxadol increases resting theta and alpha power without affecting evoked responses in fragile X syndrome in a home-based setting. Journal of Neurodevelopmental Disorders. 2026.
Elevated gamma spectral event peak power during auditory chirp is associated with neuropsychiatric features in Fragile X syndrome. Clinical Neurophysiology. 2026; 185:2111713.
Acute and chronic dosing of the GABA A alpha 2,3 selective agonist BAER-101 do not alter behavior but may impact auditory-evoked EEG responses in adults with fragile X syndrome. Scientific Reports. 2026; 16(1).
Three-ball cascade juggling as a paradigm to study complex motor task execution using mobile brain-body imaging (EEG). Proceedings of the Royal Society of London. Biological Sciences. 2026; 293(2066).
Decomposing Juggling Skill into Sequencing, Prediction, and Accuracy: A Computational Model with Low-Gravity VR Training. Sensors. 2026; 26(1).
Conceptual rethinking of whole-body perturbation-evoked potentials as a biomarker of extralemniscal sensory transmission, alertness and arousal. Frontiers in Human Neuroscience. 2026; 20:1825052.
Juggler's ASR: Unpacking the principles of artifact subspace reconstruction for revision toward extreme MoBI. Journal of Neuroscience Methods. 2025; 420:110465.
Hyper-extralemniscal model of Fragile X syndrome. Cerebral Cortex. 2025; 35(6).
Probing the Neurodynamic Mechanisms of Cognitive Flexibility in Depressed Individuals with Autism Spectrum Disorder. Journal of Child and Adolescent Psychopharmacology. 2025; 35(4):231-243.
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