Full metadata
Title
Neuropsychological Deficits of Facial Recognition
Description
This thesis project examines neuropsychological disorders with regards to facial recognition. It looks at the research significance as well as the regions of the brain involved in facial recognition. It reviews what these regions look like when they are healthy, and what they look like when they are impaired and their resulting function. In addition, the project looks at autism and schizophrenia which have as one their symptoms facial recognition disorder. As a result, the project dives into what goes on these patients which results in impaired facial recognition. The project also looks at the own-race bias, and how that relates to facial recognition. Finally, the project proposes an experimental proposal to identify the neural centers involved in facial recognition in patients with Alzheimer’s, drawing upon previous research on the subject. An actual experiment was not conducted due to the pandemic, but there is a section of expected results in the event that the experiment is run. The expected results are that patients with Alzheimer’s should have deficits in the N170 component, the N400 component, the hippocampus and a smaller region of the cortex involved with processing faces compared to healthy controls.
Date Created
2022-05
Contributors
- Sharma, Arjun (Author)
- Goldinger, Stephen (Thesis director)
- McClure, Samuel (Committee member)
- Barrett, The Honors College (Contributor)
- Department of Psychology (Contributor)
- School of International Letters and Cultures (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2021-2022
Handle
https://hdl.handle.net/2286/R.2.N.163861
System Created
- 2022-03-16 11:37:40
System Modified
- 2023-01-10 11:47:14
- 1 year 10 months ago
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