Oscillations of the Granular Retrosplenial Cortex
dc.contributor.author | Rice, Sharena | |
dc.date.accessioned | 2021-09-24T19:08:30Z | |
dc.date.available | 2021-09-24T19:08:30Z | |
dc.date.issued | 2021 | |
dc.date.submitted | 2021 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/169724 | |
dc.description.abstract | The retrosplenial cortex is essential for spatial memory and navigation. We sought to learn about how the retrosplenial cortex encodes information through oscillations. Our experiment results reveal an oscillation pattern we call “splines”, resembling the similarly-named interlocking teeth on mechanical gears. Splines are 110-160 Hz, precisely coupled to the peaks of local theta rhythms, and observed during both REM sleep and active awake behaviors. We found that splines are distinct from gamma rhythms. While gamma rhythms are in-phase across the two retrosplenial hemispheres, splines are anti-phase across the hemispheres. By sorting theta cycles by either spline or gamma power, we show that retrosplenial splines and gamma oscillations occur independently of each other within any given theta cycle. Splines are also distinct from sharp wave ripples and alternate with sharp wave ripples across REM and NREM sleep, respectively. At higher running speeds, splines become more powerful, more strongly phase-amplitude coupled to theta, and have greater cross-hemispheric coherence. The retrosplenial cortex’s ability to rapidly switch between splines and gamma as distinct modes of rapid interhemispheric communication may allow this region to more effectively integrate information using two mechanistically distinct rhythms. | |
dc.language.iso | en_US | |
dc.subject | Brain rhythms | |
dc.subject | Neural circuits | |
dc.subject | Retrosplenial cortex | |
dc.subject | Sleep | |
dc.subject | Cross-hemispheric coherence | |
dc.subject | Running speed | |
dc.title | Oscillations of the Granular Retrosplenial Cortex | |
dc.type | Thesis | |
dc.description.thesisdegreename | PhD | en_US |
dc.description.thesisdegreediscipline | Neuroscience | |
dc.description.thesisdegreegrantor | University of Michigan, Horace H. Rackham School of Graduate Studies | |
dc.contributor.committeemember | Ahmed, Omar Jamil | |
dc.contributor.committeemember | King, William Michael | |
dc.contributor.committeemember | Najarian, Kayvan | |
dc.contributor.committeemember | Roberts, Michael | |
dc.contributor.committeemember | Shore, Susan E | |
dc.subject.hlbsecondlevel | Neurosciences | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/169724/1/ricesp_1.pdf | |
dc.identifier.doi | https://dx.doi.org/10.7302/2769 | |
dc.identifier.orcid | 0000-0002-4173-1710 | |
dc.identifier.name-orcid | Rice, Sharena; 0000-0002-4173-1710 | en_US |
dc.working.doi | 10.7302/2769 | en |
dc.owningcollname | Dissertations and Theses (Ph.D. and Master's) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.