Dec 3, 2024
4:30pm - 4:45pm
Sheraton, Second Floor, Independence West
Hao Sheng1,Ren Liu1,Qiang Li1,Zuwan Lin1,Jia Liu1
Harvard University1
Hao Sheng1,Ren Liu1,Qiang Li1,Zuwan Lin1,Jia Liu1
Harvard University1
Recording neural activities throughout brain development is critical to understanding how neurons self-assemble into an organ capable of learning, behavior, and cognition<sup>1,2</sup>. However, the significant morphological changes occurring during brain development pose a challenge for implantable bioelectronics to continuously monitor neural activity throughout this process. To date, it has not been possible to perform the ideal experiment: recording brain-wide neural activity at the cellular level with millisecond temporal resolution in animals throughout brain development<sup>3</sup>.<br/>In this presentation, I will begin by introducing a class of bioelectronic devices and methods to integrate the device within the developing brain of vertebrate animals throughout embryogenesis. Specifically, I will introduce sub-micrometer-thick, tissue-level soft mesh electronics containing a stretchable electrode array that can be implanted into the embryo neural plate. During organogenesis, the neural plate undergoes a 2D-to-3D reorganization process<sup>2</sup>, folding, proliferating, and expanding into the precursors of the nervous system. The endogenous forces involved in this process seamlessly and non-invasively distribute and integrate the sensor network across the 3D volume of the neural tube and brain, creating a “cyborg” embryo. I will also demonstrate that the presence of microelectronics had no discernible impact on embryo development or subsequent behaviors.<br/>Next, I will demonstrate how this technique enables tissue-wide, continuous recording of neuronal electrical activity during embryo development with millisecond temporal resolution. I will present an example of a cyborg frog embryo, illustrating the gradual development of localized neural activity in the frog brain: during the early stages of brain development, slow-wave synchronized electrical activities propagate across the neural tube from the forebrain to the midbrain. As development progresses, these synchronized signals gradually decouple, and calcium wave-like signals emerge, possibly indicating the increasing localization of brain activity. At last, isolated single-unit action potential-like spikes appear as the frog tadpole's brain function matures.<br/>Additionally, I will discuss our efforts to increase the channel count of the mesh electronics using electron-beam lithography. The new electronics with high-density, soft electrode arrays enable the simultaneous recording of more neurons during brain development. Activities from individual neurons can be captured by multiple electrodes, allowing for precise single-unit spike sorting. Together with new computational data analysis pipelines, this technology allows for the tracking of electrical activities from the same units throughout brain development.<br/>Finally, I will demonstrate the application of the mesh electronics across a broader range of animal models, including axolotl embryos, mouse embryos, and neonatal rats. Specifically, I will demonstrate the application to axolotl brain development, a unique model widely used for studying both brain development and regeneration. Continuous recording during embryonic brain development illustrates the evolution of well-isolated individual neurons and their positional migration. In addition, a spinal cord injury-regeneration experiment suggests similar neuronal activities involved in both development and regeneration. I will also demonstrate the successful implantation of the soft and stretchable mesh electronics in mouse embryos and neonatal rats, recording electrophysiological signals in the developing mammalian brain.<br/><br/><b>References:</b><br/>Sanes, D. H. et al. Development of the nervous system. (Academic Press, 2011).<br/>Smith, J. L. & Schoenwolf, G. C. Neurulation: coming to closure. Trends Neurosci. 20, 510-517 (1997).<br/>Randlett, O. et al. Whole-brain activity mapping onto a zebrafish brain atlas. Nat. Methods 12, 1039-1046 (2015).