Here is a 19 page pdf presentation by Marc Christensen on the approach, methods, challenges and issues with neurophotonics.
Physorg has coverage.
Funded by a Department of Defense initiative dedicated to audacious challenges and intense time schedules, the Neurophotonics Research Center will develop two-way fiber optic communication between prosthetic limbs and peripheral nerves.
This connection will be key to operating realistic robotic arms, legs and hands that not only move like the real thing, but also "feel" sensations like pressure and heat.
Successful completion of the fiber optic link will allow for sending signals seamlessly back and forth between the brain and artificial limbs, allowing amputees revolutionary freedom of movement and agility.
This can also lead to medical breakthroughs like brain implants for the control of tremors, neuro-modulators for chronic pain management and implants for patients with spinal cord injuries.
How can we transduce?
• Action Potentials are flow of sodium & potassium ions.
• MEAs (Multi-electrode arrays) work from sensing ion flux at double Helmholtz layer near electrode.
• What is the signal:
– Change in Ionic concentrations
– Moving charges (ions): electromagnetic disturbance
• more than 50 microVolts / 100 micrometers (MEA signal levels)
Interest in Fiber to the Brain
• MRI & Bio compatibility: glass and plastic.
• Dense signaling with low crosstalk.
• Flexible probes to maintain alignment.
• Hope for improved sensitivity.
• Host of different applications:
– Diagnostic, prosthetic, …
• Gold Nano-particles fluoresce under illumination.
• Spectrum shifts based on particle surroundings (~2meV reported).
• Can be designed to attract ions.
• Challenges: – Time scales (?), reuse
Challenges for Neurophotonic Sensing
• Transduce Action Potential into optically measureable quantity.
• Modes: – Ionic concentration / flux:
• phoresis, Δn, …
– Electromagnetic field:
• Electro-optic effect Δn, Magneto-optic effect Δn, physical change Δd, …
• Combinations and isolations of the above.
• Field Overlap
Questions to be Answered (2009)
• What is the minimum level of control-signal information required to recover a range of activities of daily living in both military and civilian situations?
• What are the challenging technical issues and fundamental / practical limits of prostheses systems based on each of the sources of neural-signal information? How close to those limits are we now? How might these challenges be overcome?
• What are the fundamental knowledge gaps that are holding back the development and transition of emerging RE-NET capabilities into clinical use? How might these gaps be filled?
• What alternative approaches (“new ideas”) might yield revolutionary performance improvements? Estimate the expected performance improvements for each approach.
• What are the most significant problems for which new DARPA investments can be expected to make a real difference in advancing fundamental knowledge and RE-NET systems?
• What overall program structure and funding mechanisms should DARPA consider as effective means for conducting a RE-NET program?
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