Modulating Cortical and Sub-cortical Brain Circuits in Chronic Facial Pain Chronic pain, especially facial pain is difficult to treat because it is associated with an enormous diversity of nervous system alterations. Characterizations of these changes at the molecular level, using animal models, have yielded insights that largely have not translated to the human, perhaps because the molecular complexity of the changes insures that significant differences will exist when comparing across species. At a neural circuit level, on the other hand, it may be possible to define endophenotypes that correlate with pain state, that may better generalize across species (and across patients) because they are convergently downstream of many different upstream molecular changes, and may causally be associatable with, or predict, pain state. Accordingly, we propose to study rat models of pain by optically silencing, in a temporally-precise manner, candidate brain regions in the pain circuit using novel methods we have developed, and assessing the impact on pain behavior, as well as on the pain circuit using functional magnetic resonance imaging (fMRI). In this way we will parse out the brainwide contribution of a neural circuit to pain endophenotype. By expanding our investigation beyond pain behaviors we will better understand the global behavioral effects of chronic pain and the role(s) of specific CNS regions in modulating these behavioral effects, and hopefully better model chronic pain in humans.

Public Health Relevance

Determining the neural substrates that define the chronic facial pain state is a key step in developing treatments that generalize from basic research to humans, and also that generalize across human patients. By moving beyond the combinatorial complexity of molecular changes, to the understanding of how pain is represented in the brain, as described by optical neural control and functional brain imaging, we will develop new biomarkers for pain that accurately reflect the pain state, thus advancing the state of therapy, diagnosis, and drug discovery.

Agency
National Institute of Health (NIH)
Institute
National Institute of Dental & Craniofacial Research (NIDCR)
Type
High Impact Research and Research Infrastructure Programs (RC2)
Project #
1RC2DE020919-01
Application #
7852690
Study Section
Special Emphasis Panel (ZDE1-JH (34))
Program Officer
Kusiak, John W
Project Start
2009-09-25
Project End
2011-08-31
Budget Start
2009-09-25
Budget End
2010-08-31
Support Year
1
Fiscal Year
2009
Total Cost
$535,180
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Miscellaneous
Type
Other Domestic Higher Education
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Chow, Brian Y; Han, Xue; Boyden, Edward S (2012) Genetically encoded molecular tools for light-driven silencing of targeted neurons. Prog Brain Res 196:49-61
Bernstein, Jacob G; Garrity, Paul A; Boyden, Edward S (2012) Optogenetics and thermogenetics: technologies for controlling the activity of targeted cells within intact neural circuits. Curr Opin Neurobiol 22:61-71
Desai, M; Kahn, I; Knoblich, U et al. (2011) Mapping brain networks in awake mice using combined optical neural control and fMRI. J Neurophysiol 105:1393-405
Wentz, Christian T; Bernstein, Jacob G; Monahan, Patrick et al. (2011) A wirelessly powered and controlled device for optical neural control of freely-behaving animals. J Neural Eng 8:046021
Bernstein, Jacob G; Boyden, Edward S (2011) Optogenetic tools for analyzing the neural circuits of behavior. Trends Cogn Sci 15:592-600
Chow, Brian Y; Chuong, Amy S; Klapoetke, Nathan C et al. (2011) Synthetic physiology strategies for adapting tools from nature for genetically targeted control of fast biological processes. Methods Enzymol 497:425-43
Chan, Stephanie; Bernstein, Jacob; Boyden, Edward (2010) Scalable fluidic injector arrays for viral targeting of intact 3-D brain circuits. J Vis Exp :
Zorzos, Anthony N; Boyden, Edward S; Fonstad, Clifton G (2010) Multiwaveguide implantable probe for light delivery to sets of distributed brain targets. Opt Lett 35:4133-5