Light propagation analysis in nervous tissue for wireless optogenetic nanonetworks

In recent years, numerous methods have been sought for developing novel solutions to counter neurodegenerative diseases. An objective that is being investigated by researchers is to develop cortical implants that are able to wirelessly stimulate neurons at the single cell level. This is a major development compared to current solutions that use electrodes, which are only able to target a population of neurons, or optogenetics, which requires optical fiber-leads to be embedded deep into the brain. In this direction, the concept of wireless optogenetic nanonetworks has been recently introduced. In such architecture, miniature devices are implanted in the cortex for neuronal stimulation through optogenetics. One of the aspects that will determine the topology and performance of wireless optogenetic nanonetworks is related to light propagation in genetically-engineered neurons. In this paper, a channel model that captures the peculiarities of light propagation in neurons is developed. First, the light propagation behavior using the modified Beer-Lambert law is analyzed based on the photon transport through the nervous tissue. This includes analyzing the scattering light diffraction and diffusive reflection that results from the absorption of neural cell chromophores, as well as validating the results by means of extensive multiphysics simulations. Then, analysis is conducted on the path loss through cells at different layers of the cortex by taking into account the multi-path phenomenon. Results show that there is a light focusing effect in the soma of neurons that can potentially help the to stimulate the target cells.

[1]  John R. Barry,et al.  Indoor Channel Characteristics for Visible Light Communications , 2011, IEEE Commun. Lett..

[2]  Gang Yao,et al.  Angular distribution of diffuse reflectance in biological tissue. , 2007, Applied optics.

[3]  Josep Miquel Jornet,et al.  Nanoscale optical channel modeling for in vivo wireless nanosensor networks: A geometrical approach , 2017, 2017 IEEE International Conference on Communications (ICC).

[4]  Wulfram Gerstner,et al.  SPIKING NEURON MODELS Single Neurons , Populations , Plasticity , 2002 .

[5]  J. Jornet,et al.  Intra-Body Optical Channel Modeling for In Vivo Wireless Nanosensor Networks , 2016, IEEE Transactions on NanoBioscience.

[6]  I. Yaroslavsky,et al.  Optical properties of selected native and coagulated human brain tissues in vitro in the visible and near infrared spectral range. , 2002, Physics in medicine and biology.

[7]  Hang Zhou,et al.  NeuroGPS: automated localization of neurons for brain circuits using L1 minimization model , 2013, Scientific Reports.

[8]  Yevgeni Koucheryavy,et al.  Wireless optogenetic neural dust for deep brain stimulation , 2016, 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom).

[9]  Dirk J. Faber,et al.  A literature review and novel theoretical approach on the optical properties of whole blood , 2013, Lasers in Medical Science.

[10]  Josep Miquel Jornet,et al.  Nanoscale Optical Wireless Channel Model for Intra-Body Communications: Geometrical, Time, and Frequency Domain Analyses , 2018, IEEE Transactions on Communications.

[11]  K. Deisseroth,et al.  Rapid regulation of depression-related behaviors by control of midbrain dopamine neurons , 2012, Nature.

[12]  Edward W. Larsen,et al.  Light transport in biological tissue based on the simplified spherical harmonics equations , 2006, J. Comput. Phys..

[13]  Martin Wolf,et al.  General equation for the differential pathlength factor of the frontal human head depending on wavelength and age , 2013, Journal of biomedical optics.

[14]  Dae-Shik Kim,et al.  Global and local fMRI signals driven by neurons defined optogenetically by type and wiring , 2010, Nature.

[15]  V. Mountcastle Perceptual Neuroscience: The Cerebral Cortex , 1998 .

[16]  K. Deisseroth,et al.  Optogenetic stimulation of a hippocampal engram activates fear memory recall , 2012, Nature.

[17]  Michael S. Feld,et al.  Intrinsic optical signals in neural tissues: measurements, mechanisms, and applications , 2007 .

[18]  A. Levinson,et al.  THE REFRACTOMETRIC AND VISCOSIMETRIC INDEXES OF CEREBROSPINAL FLUID , 1926 .