Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Official thesis OSU - Hilary.pdf (1.87 MB)

ETD Abstract Container

Abstract Header

A Geometric Analysis Approach to Distinguish Basal Serotonin Levels in Control and Depressed Mice

Marrero Garcia, Hilary
http://rave.ohiolink.edu/etdc/view?acc_num=osu1598281923442129

Abstract Details

2020, Master of Mathematical Sciences, Ohio State University, Mathematical Sciences.
Depression is a mental disorder that causes changes in mood, appetite, and behaviors such as sleep patterns. The most common symptom may be the lack of interest in things that were previously pleasant to the individual. For a long time the cause of this disorder has been questioned by scientists and by the 1960s the serotonin hypothesis of depression arose, postulating that an imbalance in serotonin levels in the brain results in a depressive disorder. To date, depression has been diagnosed subjectively by observing a set of symptoms in patients. This project is a step towards identifying objective measurable biological differences between data from control subjects and depressed subjects. To this aim, time series measurements of in vivo basal serotonin levels in the hippocampus of control mice and mice depressed via the Chronic Mild Stress (CMS) protocol were used for a quantitative analysis. While the basal serotonin level of CMS mice tended to be lower than that of control mice, neither the average basal level nor several other criteria were sufficient to distinguish CMS from control data. A geometric data analysis approach was proposed, related to topological data analysis of functions using the sub-level set filtration. This geometric approach extracts features of the time series that capture dynamic differences between CMS and control data and is sufficient to distinguish this data.
Janet Best (Advisor)
Adriana Dawes (Committee Member)
55 p.
Biology; Mathematics
serotonin, mice, geometric, data, analysis

Recommended Citations

Citations

  • Marrero Garcia, H. (2020). A Geometric Analysis Approach to Distinguish Basal Serotonin Levels in Control and Depressed Mice [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1598281923442129

    APA Style (7th edition)

  • Marrero Garcia, Hilary. A Geometric Analysis Approach to Distinguish Basal Serotonin Levels in Control and Depressed Mice. 2020. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1598281923442129.

    MLA Style (8th edition)

  • Marrero Garcia, Hilary. "A Geometric Analysis Approach to Distinguish Basal Serotonin Levels in Control and Depressed Mice." Master's thesis, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1598281923442129

    Chicago Manual of Style (17th edition)

osu1598281923442129
7
© 2020, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.