Keynote Speakers Bio and Abstract:
 

Prof. Yoshihiro NODA

Associate Professor (Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan)
Link: https://www.researchgate.net/profile/Yoshihiro-Noda-4

Biography:

Prof. Yoshihiro Noda completed his graduate study at the Graduate School of Medicine, The University of Tokyo. Following clinical appointments in psychiatry at The University of Tokyo Hospital and the Kanagawa Psychiatric Center, he served as a Research Fellow at the Centre for Addiction and Mental Health, affiliated with the University of Toronto. He earned his Executive MBA from the Temple University in the United States. Having returned to Japan in 2017, Dr. Noda was appointed as a Project Lecturer in the Department of Neuropsychiatry, Keio University School of Medicine, and has served as Project Associate Professor since 2021. In 2024, he was appointed as Chief of Psychiatry and Associate Professor at Mita Hospital, International University of Health and Welfare. He specializes in neuromodulation and clinical neurophysiology, with a focus on TMS-EEG and rTMS research for psychiatric disorders. He integrates clinical science and healthcare management to advance innovative, non-invasive brain therapies.

Seminar title: Identifying Refined Neuropsychiatric Biomarkers Using TMS‑EEG Co‑Registration and Exploring Universal Clinical Epidemiological Insights Through Large‑Scale TMS Registries

Abstract: 

Transcranial magnetic stimulation (TMS) has become a central modality in contemporary neuropsychiatry, offering both a window into cortical physiology and an evidence‑based therapeutic intervention for treatment‑resistant psychiatric disorders. However, the field continues to face critical challenges in establishing reliable biomarkers and generalizable clinical predictors that can guide individualized neuromodulation. This keynote will present recent advances in two complementary domains: (1) the identification of refined neurophysiological biomarkers using TMS‑EEG co‑registration, and (2) the extraction of universal clinical epidemiological insights from large‑scale TMS registries.

First, I will highlight methodological developments in TMS‑EEG co‑registration that enable precise characterization of cortical excitability, inhibition, and network‑level dynamics. Innovations in artifact suppression, signal decomposition, and connectivity modeling have facilitated the detection of subtle neurophysiological signatures associated with major depressive disorder, bipolar disorder, schizophrenia, and other neuropsychiatric conditions. These refined biomarkers provide mechanistic insights that extend beyond behavioral or symptom‑based assessments.

Second, I will discuss findings from multi‑institutional TMS registries that systematically capture demographic, clinical, and stimulation‑parameter data across diverse real‑world patient populations. Such registries offer a powerful platform for identifying universal predictors of treatment response, evaluating protocol effectiveness, and understanding population‑level patterns that are not accessible through single‑site studies. Integrating registry‑derived epidemiological insights with TMS‑EEG biomarkers represents a promising pathway toward precision‑guided neuromodulation.

Finally, I will outline future directions for harmonizing TMS‑EEG methodologies, establishing international registry standards, and leveraging machine learning to bridge neurophysiological markers with clinically actionable decision frameworks. Together, these efforts aim to advance the development of robust, generalizable, and biomarker‑informed neuromodulation strategies in neuropsychiatry.
 

Workshop title: Advances in TMS–EEG: Technical Foundations, Artifact Management, and Emerging Biomarkers for Precision Psychiatry

Description:

Transcranial magnetic stimulation combined with electroencephalography (TMS–EEG) has rapidly evolved into a central methodology for probing human cortical physiology and circuit-level dysfunction across neuropsychiatric disorders. By integrating controlled magnetic perturbation with millisecond‑resolution electrophysiological recording, TMS–EEG enables direct quantification of cortical excitability, effective connectivity, and neuroplasticity. The technique requires precise integration of stimulation hardware, EEG acquisition systems, artifact suppression pipelines, and advanced signal‑processing frameworks to extract physiologically meaningful TMS‑evoked potentials (TEPs). This workshop will provide a comprehensive overview of the technical foundations of TMS–EEG, including coil physics, pulse engineering, amplifier design, electrode technology, and state‑of‑the‑art artifact mitigation strategies.

Participants will learn best practices for managing pulse, recharge, muscle, auditory, and somatosensory artifacts, with emphasis on advanced correction methods such as ICA, SSP–SIR, template subtraction, and beamforming. The session will also cover quantitative approaches to TEP analysis, ranging from canonical components (P30, N45, P60, N100) to metrics of cortical excitability, effective connectivity, and perturbational complexity. TMS–EEG enables quantification of effective connectivity through metrics such as phase‑locking value, directed transfer function, Granger causality, and the perturbational complexity index (PCI).

Building on these methodological foundations, the workshop will explore emerging applications of TMS–EEG in psychiatry, including disorder‑specific signatures in major depressive disorder, bipolar disorder, schizophrenia, obsessive–compulsive disorder, and autism spectrum disorder. We will discuss biomarker candidates such as N100 amplitude, P60 excitability, long‑interval cortical inhibition (LICI), propagation to ACC/mPFC, and plasticity‑based measures. Finally, the workshop will address future directions, including closed‑loop stimulation, machine‑learning‑based artifact rejection, multimodal integration (TMS–MEG, TMS–fNIRS, TMS–fMRI), and individualized neuromodulation guided by structural and functional connectivity.

This session is designed for clinicians, neuroscientists, engineers, and research fellows seeking a rigorous, up‑to‑date understanding of TMS–EEG methodology and its translational potential in precision psychiatry.
 

Prof. Sheng HE

Principal Investigator (Adjunct), IBP Academic Deputy Director (State Key Laboratory of Cognitive Science and Mental Health, Institute of Biophysics, Chinese Academy of Sciences, China)
Link: http://english.ibp.cas.cn/sourcedb/rck/EN_nyrzkxddsys/202005/t20200519_341411.html

Biography:

Sheng He is the Academic Vice Director and a Principal Investigator at the Institute of Biophysics, Chinese Academy of Sciences. He received his Ph.D. in Psychology from the University of California, San Diego, and completed postdoctoral training at Harvard University. Prior to returning to China, he was a tenured Full Professor in the Department of Psychology at the University of Minnesota. His research focuses on human cognitive neuroscience, particularly visual attention and consciousness, integrating psychophysics, neuroimaging, and noninvasive brain stimulation. His work has been featured in major cognitive neuroscience volumes and psychology textbooks. He has led major research projects both the US and China, and has received honors including the Alfred P. Sloan Research Fellowship and the McKnight Land-Grant Professorship.

Seminar title: Feedback Processing and Attention in the Human Brain

Abstract:

How does the brain construct coherent perception from sparse sensory inputs? I will present experimental evidence supporting a framework in which perception arises from dynamic interactions between feedforward sensory signals and feedback predictions from higher cortical areas. The brain continuously builds and tests models of the world through recurrent processing, rhythmic attentional sampling, and top-down guidance. Drawing on findings from psychophysics, neuroimaging, and brain stimulation studies, I will discuss how feedback signals contribute to object recognition, attentional selection, and the interpretation of ambiguous sensory information.

Workshop title: Binocular Rivalry, Consciousness, and Mental Health

Description:

Binocular rivalry is a phenomenon in which two different images presented to the two eyes compete for perceptual dominance, leading to alternating visual experiences. This perceptual competition provides a powerful tool for studying visual awareness and the brain’s intrinsic dynamics.

In this workshop, I will introduce the basic principles of binocular rivalry and discuss the ways it can be used to investigate (1) how the brain resolves conflicting information, (2) how visual signals can be processed without awareness, and (3) how rivalry dynamics can reveal alterations in brain function associated with mental health conditions. The workshop will emphasize practical aspects of the method, including stimulus design, experimental paradigms, and behavioral measures of perceptual dominance. Participants will also have the opportunity to experience binocular rivalry and discuss how the paradigm can be applied in both basic and translational research.
 

Prof. Bing ZHANG