McCann, John
(2024)
Regional dependence of functional connectivity in cortical microcircuits.
Undergraduate Thesis, University of Pittsburgh.
(Unpublished)
Abstract
The general structure of cortical microcircuits appears to be conserved throughout the cortical hierarchy; however, specific differences in functional properties of this stereotyped microcircuit across regions could contribute to the variety of computations performed by areas throughout the sensory processing hierarchy. This study investigated the functional connectivity of layer 2/3 excitatory neurons of primary auditory cortex (AC) and the posterior parietal cortex (PPC) through a combined approach of single cell optogenetic stimulation of excitatory neurons and 2-photon calcium imaging. Additionally, SOM inhibitory interneurons were specifically labeled in order to reveal potential differences between excitatory-excitatory and excitatory-SOM connections. To statistically characterize the influence of the photostimulation on the neural population, we utilized generalized linear models (GLMs). Our statistical approach revealed a strong inverse relationship between magnitude of influence and distance from the stimulated neuron; however, the influence had a broader spatial scale in PPC than in AC. Additionally, the spatial distribution of influenced neurons was significantly broader for SOM cells and negatively influenced non-SOM cells than positively influenced non-SOM cells in both regions. Interestingly, running modulation, calculated through GLMs, was concentrated in negatively influenced non-SOM cells in both regions suggesting a potential bias in inhibitory connections to running modulated neurons.
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| Item Type: |
University of Pittsburgh ETD
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| Status: |
Unpublished |
| Creators/Authors: |
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| ETD Committee: |
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| Date: |
22 April 2024 |
| Date Type: |
Publication |
| Defense Date: |
9 April 2024 |
| Approval Date: |
22 April 2024 |
| Submission Date: |
11 April 2024 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
72 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
David C. Frederick Honors College
Dietrich School of Arts and Sciences > Neuroscience |
| Degree: |
BPhil - Bachelor of Philosophy |
| Thesis Type: |
Undergraduate Thesis |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
Systems Neuroscience |
| Date Deposited: |
22 Apr 2024 15:12 |
| Last Modified: |
22 Apr 2024 15:12 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/46088 |
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