Neuroimaging provides unique opportunities to address one of the grand challenges in neuroscience: relating structure and function over many orders of magnitude. I will focus on different aspects of scale and how the next generation of MRI methods will enable us to face this challenge. Themes will include adopting a synergistic approach to acquisition and analysis; relating neuroimaging tools to complementary techniques; and the new era of population neuroimaging.

High-Resolution Electrical Head Models for Dense Array Neuromodulation
EGI's new Geodesic Transcranial Electrical Neuromodulation (GTEN) technology integrates EGI's core GES 400 dEEG platform and its proprietary head modeling technology to create a precise method for tDCS/tACS/tPCS neuromodulation tailored for the individual.

In this symposium, a bounded electrical impedance tomography (bEIT) approach will be presented for individually specific calibration of high-resolution electrical head models. bEIT is used to estimate the most important electrically resistive tissue (the skull) of the head. The resulting calibrated, anatomically accurate, electrical head model is then used for EEG source estimation and transcranial electrical stimulation (TES) planning. Based on EEG source estimation, targets are defined for TES and simultaneously recorded EEG can be examined to assess the brain’s response to the stimulation.

Network science, combined with non-invasive functional imaging, has generated unprecedented insights regarding the development of functional architectures supporting complex behavior. The current lecture will provide some insights and considerations of the earliest environmental events that shape these developmetal trajectories.