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Cross-Polarized Reflected Light Measurement of Fast Optical Responses Associated with Neural Activation

Xin-Cheng Yao ^*, Amanda Foust , David M. Rector , Benjamin Barrowes ^* and John S. George ^*

^* Biological and Quantum Physics, MS-D454, Los Alamos National Laboratory, Los Alamos, New Mexico 87545; and Veterinary and Comparative Anatomy, Pharmacology, and Physiology Department, Washington State University, Pullman, Washington 99164

Correspondence: Address reprint requests to John S. George, Tel.: 505-665-2550; Fax: 505-665-4507; E-mail: jsg{at}lanl.gov.

We developed an optical probe for cross-polarized reflected light measurements and investigated optical signals associated with electrophysiological activation in isolated lobster nerves. The cross-polarized baseline light intensity (structural signal) and the amplitude of the transient response to stimulation (functional signal) measured in reflected mode were dependent on the orientation of the nerve axis relative to the polarization plane of incident light. The maximum structural signal and functional response amplitude were observed at 45°, and the ratio of functional to structural signals was approximately constant across orientations. Functional responses were measured in single trials in both transmitted and reflected geometries and responses had similar waveforms. Both structural and functional signals were an order of magnitude smaller in reflected than in transmitted light measurements, but functional responses had similar signal/noise ratios. We propose a theoretical model based on geometrical optics that is consistent with experimental results. In the model, the cross-polarized structural signal results from light reflection from axonal fibers and the transient functional response arises from axonal swelling associated with neural activation. Polarization-sensitive reflected light measurements could greatly enhance in vivo imaging of neural activation since cross-polarized responses are much larger than scattering signals now employed for dynamic functional neuroimaging.

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