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.
Bachelor's degree: Philosophy, Waseda University, Shinjuku, Tokyo, Japan, 2003.
Master's degree: Psychology, Nagoya University, Nagoya, Aichi, Japan, 2005.
PhD: Psychology, Nagoya University, Nagoya, Aichi, Japan, 2011.
Research fellow: human MRI, National Center for Geriatrics and Gerontology, Ohbu, Aichi, Japan, 2008-2011.
Post-doc fellow: human EEG, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, 2011-2016.
Interests
Computational neuroscience
Research Areas
Psychiatry
Publications
Toward a More Meaningful Use of EEG in Moral Neuroscience. American Journal of Bioethics Neuroscience. 2024; 15:209-211.
Uncovering spatiotemporal dynamics of the corticothalamic network at ictal onset. Epilepsia. 2024; 65:1989-2003.
CNN Brain Label-Maker: Computer Vision Based ICA Rejection EEG based System Architecture. 2024; 37.
Effects of Memantine on the Auditory Steady-State and Harmonic Responses to 40 Hz Stimulation Across Species. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2024; 9:346-355.
Neural Network Dynamics and Brain Oscillations Underlying Aberrant Inhibitory Control in Internet Addiction. IEEE transactions on neural systems and rehabilitation engineering. 2024; 32:946-955.
Hemodynamic and electrophysiological responses of the human amygdala during face imitation-a study using functional MRI and intracranial EEG. Cerebral Cortex. 2024; 34:bhad488.
One out of ten independent components shows flipped polarity with poorer data quality: EEG database study. Human Brain Mapping. 2024; 45:e26540.
Artifact subspace reconstruction: a candidate for a dream solution for EEG studies, sleep or awake. Sleep. 2023; 46:zsad241.
Click-train evoked steady state harmonic response as a novel pharmacodynamic biomarker of cortical oscillatory synchrony. Neuropharmacology. 2023; 240:109707.
Gazing through the bubble: an experimental investigation into financial risk-taking using eye-tracking. Financial Innovation. 2023; 9:28.
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