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BrainBox Initiative Symposium: Multimodal Brain Stimulation and Imaging
The first event from BrainBox Initiative, taking place at the CUNY Advanced Science Research Center in New York. This free symposium chaired by Dr Eric Wassermann gives an opportunity to find out about the latest multimodal brain stimulation and imaging studies being carried out by young neuroscientists. The presenters will be demonstrating the techniques used as part of their talks and the day finishes with an interactive panel discussion. Topics covered at this event include: TMS with EEG, tACS with EEG, tDCS, neuronavigation, cTMS and computational neurostimulation.
The symposium is a satellite event to the Neuromodulation 2017 conference, however delegates can book for this symposium on its own. Places are FREE to book and numbers are limited to ensure a good interactive learning environment.
Scroll down to register your attendance.
10.00 – 10.30
Registration / Coffee
10.30 – 10.45
Eric Wassermann – Welcome Address
10.45 – 11.30
James Bonaiuto, Using computational neurostimulation to bridge between behaviour, neurophysiology and experimental modalities.
11.30 – 12.15
Sara Tremblay, Pulse parameters matter: the use of cTMS to improve selectivity of neural targeting.
12.15 – 13.15
Lunch (not included)
13.15 – 14.00
Helen Nuttall, Studying sensorimotor integration during speech perception using TMS and EEG.
14.00 – 14.45
Roch Comeau, Neuronavigation for TMS: past, present and future.
14.45 – 15.30
Siddharth Kohli, Towards closed-loop tES: phase matching tACS with ongoing EEG activity.
15.30 – 16.00
16.00 – 16.30
Michael Banissy (keynote), Moving beyond good for all or bad for all models of transcranial current stimulation: the importance of individual variation.
16.30 – 17.00
17.00 – 17.15
Eric Wassermann – Wrap Up and closing comments
James Bonaiuto, University College London: “Using computational neurostimulation to bridge between behavior, neurophysiology and experimental modalities”.
This talk will introduce computational modeling approaches to understanding how neurophysiological effects of transcranial electrical stimulation translate to behavioral changes. This will include a demonstration of the use of electrical field simulation software such as SimNIBS to plan a stimulation study and the Brainsight neuronavigation system to position electrodes. Behavioral and neural network modeling approaches to simulating the effects of tDCS will be presented, as well as a discussion of how models can be used to predict evoked synaptic potentials or BOLD signals for comparison with multimodal tDCS/EEG or tDCS/fMRI experiments.
Sara Tremblay, McGill University: “Pulse parameters matter: the use of cTMS to improve selectivity of neural targeting”.
Recent advances in transcranial magnetic stimulation (TMS) technology, such as the development of the novel controllable pulse parameter TMS (cTMS), have allowed manipulation of several parameters of stimulation, such as pulse duration and direction. This technology has the potential to facilitate the development of more selective forms of stimulation protocols which may help target more specific neural populations, and ultimately help develop more reliable TMS paradigms. The current presentation aims at providing an overview of cTMS technology and a portrait of current evidence for response dependence on pulse parameters using cTMS, including evidence for selective stimulation of human motor cortex using cTMS, neuromodulation protocols, and implications for behavior.
Helen Nuttall, University of Lancaster: “Studying sensorimotor integration during speech perception using TMS and EEG”.
Using transcranial magnetic stimulation (TMS) and motor evoked potentials (MEPs), it has been shown that brain regions for speech production are active during speech perception. My research has recently established a relationship between hearing ability and the extent of speech motor activation when perceiving speech that is difficult to understand. To probe this relationship, I will present ongoing work that uses TMS and electroencephalography (EEG) to test whether the quality of speech encoding in auditory cortex is causally relevant for gating speech motor activity during speech perception. These experiments aim to further understanding of auditory-motor integration when listening to speech.
Siddharth Kohli, University of Manchester: “Towards closed-loop tES: phase matching tACS with ongoing EEG activity”.
To date most studies investigating electroencephalogram (EEG) with transcranial alternating current stimulation (tACS) have been limited to comparing EEG before/after stimulation. However, the goal of tACS stimulation is to enhance/suppress ongoing EEG oscillation and to truly achieve this, the stimulation signal needs to account for ongoing activity prior to and during stimulation. Here we present a system that processes EEG signals in real-time and adjusts the stimulation parameters based on ongoing neural activity. By being able to adjust the phase of the stimulator output in relation to ongoing oscillations it is possible to suppress or enhance ongoing activity to treat impaired cognition or boost activity and increase performance.