Agenda and Speakers for Advanced TMS Techniques Conference

Advanced TMS Techniques for Mental Health and Disability

 

Day 1:  Thursday, April 25, 2019

8:00 to 8:30 am Registration, breakfast, and welcome

8:30 to 9:00 am TMS-EEG-based approaches to understanding post-stroke recovery and rehabilitation
Michael Borich, PhD

9:00 to 9:30 am EEG-TMS: Physiological data
Ulf Ziemann, PhD

9:30 to 10:00 am Computational Neurostimulation
Sven Bestmann, PhD

10:00 to 10:30 am The state is the art - Biophysically adjusted, state informed brain stimulation (BASICS)
Hartwig Siebner, PhD

10:30 to 11:00 am Coffee Break

11:00 to 11:30 am Developing TMS as a precise neuromodulation intervention
Alexander Opitz, PhD

11:30 am to 12:00 noon Utilizing TMS-fMRI in the study of neuropsychiatric and neurodegenerative disorders: Examples in addiction and stroke
Colleen Hanlon, PhD

12:00 noon to 12:45 pm Lunch
Location: College of Health Professions Building A, Atrium

12:45 to 1:00 pm Transition to Bioengineering Building, Room BEB-112

1:00 to 1:30 pm Understanding global brain-state transitions: a multiscale, perturbational approach
Marcello Massimini, PhD

1:30 to 2:00 pm A “Circuits-First” approach to mental illness
Amit Etkin, MD, PhD

2:00 to 2:30 pm Machine Learning and Decoding Brain States in Perturbation-based Imaging
Paul Sajda, PhD

2:30 to 3:00 pm Discussion

3:00 to 3:30 pm Coffee Break

3:30 to 4:00 pm Harnessing perturbation-based imaging approaches to inform clinical decision making
Michael Borich, PhD

4:00 to 4:30 pm Targeting in TMS-fMRI: Virtual lesions, networking mapping and performance
Sven Bestmann, PhD

4:30 to 5:00 pm Correlative activation vs causal interrogation: What does it mean?
Amit Etkin, MD, PhD

5:00 to 5:30 pm Questions, discussion, and closing

6:00 pm Social for attendees and speakers
Location: CHP Building A, Atrium

 

Day 2:  Friday, April 26, 2019

8:00 to 8:30 am Breakfast

8:30 to 9:00 am Setting up TMS-fMRI-EEG at your institution
Jayce Doose, MEng

9:00 to 9:30 am Why simultaneous measures are worth it
Truman Brown, PhD

9:30 to 10:00 am Prediction of stimulation areas: e-field modeling and informed targeting
Alexander Opitz, PhD

10:00 to 10:30 am Coffee Break

10:30 to 11:00 am The basis of the TMS-EEG Signal: Measuring cortical excitability and more
Ulf Ziemann, PhD

11:00 to 11:30 am Demonstration of e-field modeling
Alexander Opitz, PhD

11:30 am to 12:00 noon Special considerations in MRI sequences and data processing/modeling for TMS-fMRI/EEG
Logan Dowdle

12:00 noon to 12:30 pm Comparing stimulation conditions in TMS-EEG and TMS-fMRI
Manjari Narayan, PhD

12:30 to 1:30 pm Lunch
Location: College of Health Professions Building A, Atrium

1:30 to 2:00 pm Transition to Bioengineering Building, Room BEB-112

2:00 to 4:00 pm Hands on Demonstrations:

Real-time-EEG-rTMS at Brain Stimulation Lab, 67 President Street
Truman Brown, PhD; Jayce Doose, MEng; Joshua Teves; Golbarg Saber, PhD

TMS-fMRI at Center for Biomedical Imaging 3T Siemens Prisma
Logan Dowdle; Bashar Badran, Ph.D.

Neuronavigation at Brain Stimulation Lab, 67 President Street
Will Devries

4:00 to 4:30 pm Synchronizing TMS targeting with EEG
Christoph Zrenner, PhD

4:30 to 5:00 pm Non-transcranial evoked potential in TMS-EEG
Hartwig Siebner, PhD

5:00 to 5:30 pm Questions, discussion, and closing

 

Day 3: Saturday, April 27, 2019

8:00 to 8:30 am Breakfast

8:30 to 9:00 am TMS-fMRI-EEG: Putting it all together to enhance intervention outcomes
Mark S. George, MD

9:00 to 9:30 am Demonstration of how to acquire TMS-EEG in a manner to minimize artifacts
Marcello Massimini, PhD, et al.

9:30 to 10:00 am Demonstration of a Novel Phantom for Training and Assessing TMS Skills–ERIK
Mark S. George, MD, et al.

10:00 to 10:30 am Coffee Break

10:30 to 11:00 am Reproducibility in TMS-EEG
Christoph Zrenner, PhD

11:00 to 11:30 am Automated Artifact Rejection and Machine Learning for TMS-EEG
Wei Wu, PhD

11:30 to 12:00 pm Going from Probablistic to Causal Network Models 
Manjari Narayan, PhD

12:00 noon to 12:30 pm Preprocessing and identification of transcranially evoked and peripherally evoked potentials
Leo Tomasevic, PhD

12:30 to 1:45 pm Lunch

1:45 to 2:00 pm Transition to hands-on demonstrations

2:00 to 4:00 pm Hands-on demonstration:

TMS-EEG at Brain Stimulation Lab, 67 President Street
Kevin Caulfield; Matteo Fecchio, PhD; Matt Savoca; Leo Tomasevic, PhD

Real-time TMS-EEG-fMRI at Center for Biomedical Imaging, 30 Bee Street
Jayce Doose, MEng; Joshua Teves; Golbarg Saber, PhD; Truman Brown, PhD

Neuronavigation at Brain Stimulation Lab, 67 President Street
Will Devries

4:00 to 5:00 pm The Next Frontier: The Future of Perturbation-based Imaging Panel with all faculty

5:00 pm Closing

 

The Speakers

Sven Bestmann, PhD
Professor in Movement Neuroscience
Department of Clinical and Movement Neurosciences
UCL Queen Square Institute of Neurology
University College London
Dr. Sven Bestmann explores computational neurostimulation, action preparation and selection, value-based decisions and action costs, uncertainty, action and neuromodulators, reinforcement, motor learning and rehabilitation.

Michael R. Borich, P.T., D.P.T, PhD
Assistant Professor
Department of Rehabilitation Medicine, Division of Physical Therapy
Emory University
Dr. Michael Borich’s research utilizes multimodal neuroimaging and neurostimulation techniques to characterize the brain structural and functional correlates of neural plasticity associated with learning and experience in health and disease.

Truman R. Brown, PhD
Professor
Department of Radiology and Radiological Science
Medical University of South Carolina
Dr. Truman Brown has an interest in probing intracellular metabolism with MR and probing the metabolic status of tumors. He is leading research into developing new MR methodology to study human disease. He is also developing and testing a system for concurrent TMS-EEG-fMRI.

Jayce Doose, MEng
Biomedical Engineer
Center for Biomedical Imaging
Medical University of South Carolina
Jayce Doose is the senior engineer responsible for the Center for Biomedical Imaging’s human and animal MRI scanners, as well as all ancillary equipment. He had developed and maintained the TMS-fMRI and TMS-EEG-fMRI systems at MUSC and is also the technical project manager for a depression clinical trial using alpha phase-locked real-time closed-loop EEG-rTMS.

Logan Dowdle
Doctoral Fellow
Departments of Neurosciences and Psychiatry and Behavioral Sciences
Medical University of South Carolina
Logan Dowdle’s research focus is on understanding pain processing using advanced fMRI techniques combined with non-invasive brain stimulation. When not using painful stimuli, he explores various methods to improve the signal obtained in TMS/fMRI acquisitions.

Amit Etkin, MD, PhD
Professor
Department of Psychiatry and Behavioral Sciences
Wu Tsai Neurosciences Institute
Stanford University
and VA Palo Alto (Sierra-Pacific MIRECC)
Dr. Amit Etkin explores the neural basis of emotional disorders and their treatment, and to leverage this knowledge to better understand how the brain works and to develop novel treatment interventions. He aims to establish a new intellectual, scientific and clinical paradigm for understanding and manipulating human brain circuits in healthy individuals and for treating psychiatric disease. He uses both concurrent TMS-EEG and TMS-fMRI toward these aims.

Matteo Fecchio, PhD
Post-Doctoral Scholar
Department of Biomedical and Clinical Sciences
University of Milan
Dr. Fecchio uses TMS-EEG to investigate the neurological representation of consciousness in the brain. He currently uses TMS-EEG to calculate the perturbational complexity index (PCI) in varying states of consciousness and recently developed a toolbox for examining the quality of the TMS-EEG signal in real time.

Mark S. George, MD
University Professor, Director of Brain Stimulation Laboratory
Department of Psychiatry and Behavioral Sciences
Medical University of South Carolina
Dr. George is a world expert in brain stimulation, and depression, and is the editor-in-chief of a journal he launched with Elsevier in 2008 called, Brain Stimulation: Basic, Translation and Clinical Research in Neuromodulation. He was one of the first to use functional brain imaging during normal emotions as well as in depression and mania. He has grown the science of brain stimulation, both in terms of how the treatments work in the brain, and in critically evaluating their therapeutic applications, especially in treating depression. He uses imaging (particularly functional MRI) and non-invasive stimulation (TMS, or VNS), either separately or in combination, to understand the brain regions involved in regulating emotion in health and disease.

Colleen A. Hanlon, PhD
Associate Professor
Department of Psychiatry and Behavioral Sciences
Medical University of South Carolina
Dr. Colleen Hanlon uses various techniques of brain stimulation and neuroimaging, including concurrent TMS-fMRI, to better understand and treat alcohol, cocaine, opiate, and nicotine addictions as well to examine how neuromodulation may assist stroke rehabilitation.

Marcello Massimini, MD, PhD
Professor of Neurophysiology
Department of Biomedical and Clinical Sciences
University of Milan
Dr. Marcello Massimini explores EEG oscillations in cortical neurons during anesthesia and high-density EEG recordings in sleeping humans to describe the spatial-temporal dynamics of sleep slow oscillations. He is developing a novel technique (TMS and simultaneous hd-EEG) for studying cortico-cortical interactions from a perturbative perspective.

Manjari Narayan, PhD
Post-Doctoral Research Fellow
Department of psychiatry and behavioral sciences
Stanford University
Dr. Manjari Narayan combines high dimensional statistics, graphical models, network science and statistical causal inference methods to analyze interventional neuroimaging experiments, including TMS-fMRI.

Alexander Opitz, PhD
Assistant Professor
Department of Biomedical Engineering
University of Minnesota
Dr. Alexander Opitz’s focus is on the development of novel methods for non-invasive brain stimulation, including transcranial magnetic stimulation (TMS) and transcranial electric (TES) stimulation. He is particularly interested in the biophysical and physiological foundations of TMS and TES effects and how a better understanding of these can be translated into improved stimulation protocols in both research and clinical applications. He uses a combination of modeling, experimentation, and advanced data analysis techniques.

Paul Sajda, PhD
Professor of Biomedical Engineering
Department of Biomedical Engineering
Columbia University
Dr. Paul Sajda is using principles of reverse neuroengineering to characterize the cortical networks underlying perceptual and cognitive processes, such as rapid decision-making in the human brain. His laboratory pursues both basic and applied neuroscience research projects, with emphasis on non-invasive multi-modal neuroimaging, visual perception, brain-computer interfaces, application of machine learning to analysis of neural data and computational modeling of large neural systems.

Hartwig R. Siebner, MD, PhD
Clinical Professor
Department of Neurology
Institute of Clinical Medicine
Copenhagen University Hospital Bispebjerg
Dr. Hartwig Siebner utilizes mapping and shaping causal dynamics in human brain networks, pathogenesis and pathophysiology of brain disorders, determinants of brain function and brain plasticity across the lifespan with particular focus on TMS-EEG

Leo Tomasevic, PhD
Post-Doctoral Research Fellow
Danish Research Centre for Magnetic Resonance
Copenhagen University Hospital Bispebjerg
Dr. Tomasevic is interested in the sensory-motor system and in the intra- and inter-subject variability. He uses a multimodal approach combining EEG with other techniques, prevalently TMS and fMRI, and develops new methods for EEG data analysis.

Wei Wu, PhD
Instructor
Department of Psychiatry and Behavioral Sciences
Wu Tsai Neurosciences Institute
Stanford University
Dr. Wu uses perturbation-based neuroimaging techniques, along with sophisticated computational tools, to understand brain information processing as well as identify biomarkers for neuropsychiatric disorders. He is an IEEE senior member, associate editors of Neurocomputing (Elsevier) and Neural Processing Letters (Springer), and a member of IEEE Biomedical Signal Processing Technical Committee.

Ulf Ziemann, MD, PhD
Professor of Neurology
Department of Neurology
University of Tuebingen | EKU Tübingen
Dr. Ulf Ziemann explores excitability, connectivity, plasticity and reorganization of motor circuits in health and disease at the systems level by using structural and functional MRI, MEG, EEG, transcranial magnetic and direct current stimulation (TMS, tDCS), near infrared spectroscopy (NIRS) and combinations of these techniques.

Christoph Zrenner, MD, PhD
Post-Doctoral Scholar
Department of Neurology
University of Tübingen
Dr. Christoph Zrenner explores pharmacological modulation of TMS-evoked EEG responses, modulation of the cortical motor neuronal network through multi-coil-TMS, reorganization of cerebral networks in multiple sclerosis, and closed-loop-stimulation.