A photo of Makoto Miyakoshi.

Makoto Miyakoshi, PhD

  • Member, Division of Child and Adolescent Psychiatry
  • Assistant Professor, UC Department of Psychiatry and Behavioral Neuroscience



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.


Computational neuroscience

Research Areas



Artifact subspace reconstruction: a candidate for a dream solution for EEG studies, sleep or awake. Miyakoshi, M. Sleep. 2023; 46:zsad241.

Click-train evoked steady state harmonic response as a novel pharmacodynamic biomarker of cortical oscillatory synchrony. Gautam, D; Raza, MU; Miyakoshi, M; Molina, JL; Joshi, YB; Clayson, PE; Light, GA; Swerdlow, NR; Sivarao, DV. Neuropharmacology. 2023; 240:109707.

Gazing through the bubble: an experimental investigation into financial risk-taking using eye-tracking. Toma, FM; Cepoi, CO; Kubinschi, MN; Miyakoshi, M. Financial Innovation. 2023; 9:28.

Evaluation of neural response recorded using scalp EEG in virtual reality environment. Kanayama, N; Miyakoshi, M; Machizawa, M. (2023) Institute of Electrical and Electronics Engineers (IEEE). 00:206-210.

Additive and Interactive Effects of Attention-Deficit/Hyperactivity Disorder and Tic Disorder on Brain Connectivity. Jurgiel, J; Miyakoshi, M; Dillon, A; Piacentini, J; Loo, SK. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2023; 8:1094-1102.

Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy. Edmonds, B; Miyakoshi, M; Gianmaria Remore, L; Ahn, S; Westley Phillips, H; Daida, A; Salamon, N; Bari, A; Sankar, R; Matsumoto, JH; et al. Clinical Neurophysiology. 2023; 154:116-125.

Uncovering Spatiotemporal Dynamics of the Corticothalamic Network during Seizures. Panchavati, S; Daida, A; Edmonds, B; Miyakoshi, M; Oana, S; Ahn, SS; Arnold, C; Salamon, N; Sankar, R; Fallah, A; et al. 2023; 4:2023.08.21.23294382.

Approaches for Hybrid Coregistration of Marker-Based and Markerless Coordinates Describing Complex Body/Object Interactions. Kim, H; Miyakoshi, M; Iversen, JR. Sensors. 2023; 23:6542.

Characteristics of ictal thalamic EEG in pediatric-onset neocortical focal epilepsy. Edmonds, B; Miyakoshi, M; Remore, LG; Ahn, S; Phillips, HW; Daida, A; Salamon, N; Bari, A; Sankar, R; Matsumoto, JH; et al. 2023; 4:2023.06.22.23291714.

Age-Related Changes in Episodic Processing of Scenes: A Functional Activation and Connectivity Study. Miyakoshi, M; Archer, JA; Wu, CY; Nakai, T; Chen, SH A. Sensors. 2023; 23:4107.