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You searched for +publisher:"Georgia State University" +contributor:("Jessica Turner"). Showing records 1 – 2 of 2 total matches.

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Georgia State University

1. Diaz Perez, Kimberly. The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5.

Degree: Psychology, 2018, Georgia State University

In previous research, Gupta et al. (2015) analyzed gray matter density as well as volume reductions related to schizophrenia in the region of the insula and medial prefrontal cortex. Sprooten et al. (2015) then identified a set of quantitative trait loci (QTLs), which is a region of DNA associated with variability in these gray matter concentration patterns. The aim of this study is to examine the QTL they found in a region of chromosome 5. We hypothesized that there will be a set of genes in the QTL on chromosome 5 that is related to abnormal brain patterns in potential disorders such as schizophrenia. We identified genes present in the region of the QTL to analyze their function and relatedness to other genes using various software like Ingenuity Pathways Analysis, and Gene Cards. We evaluated their biological functions as well as any related disorders. For the imaging and genetic analyses, the genotypic data contained 9,228 single-nucleotide polymorphisms (SNPs) from shared aggregated datasets. The datasets contained clinical information for 616 subjects (364 controls, 252 cases). Each subject had a corresponding brain image. We identified a set of genes, including SLC1A3, GDNF, C6, C7, and C9, that are possibly related to neurodegeneration as well as brain injury processes. Lastly, we employed the parallel independent component analysis technique (pICA) to incorporate the genetic data with brain imaging to possibly identify an area related to schizophrenia. Some of the genetic variations found corresponded to the genes C7, RPL37, and PTGER4 with a correlation of 0.1012. C7, RPL37, and PTGER4 are involved in the immune system, multiple sclerosis, and neurodegenerative diseases. These genes were correlated with the imaging pattern from the pICA in the regions of the cerebellum, vermis, and mid-temporal lobe. Further analyses are needed to evaluate the correlation obtained from the pICA. Advisors/Committee Members: Jessica Turner.

Subjects/Keywords: schizophrenia; bioinformatics; genome-wide association studies

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Diaz Perez, K. (2018). The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/psych_hontheses/23

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Diaz Perez, Kimberly. “The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5.” 2018. Thesis, Georgia State University. Accessed August 22, 2019. https://scholarworks.gsu.edu/psych_hontheses/23.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Diaz Perez, Kimberly. “The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5.” 2018. Web. 22 Aug 2019.

Vancouver:

Diaz Perez K. The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5. [Internet] [Thesis]. Georgia State University; 2018. [cited 2019 Aug 22]. Available from: https://scholarworks.gsu.edu/psych_hontheses/23.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Diaz Perez K. The Identification of Genes and Brain Patterns in the Quantitative Trait Loci of Chromosome 5. [Thesis]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/psych_hontheses/23

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia State University

2. Tran, Stella. Semantic Network Alterations in Early Alzheimer's Disease and Mild Cognitive Impairment.

Degree: PhD, Psychology, 2019, Georgia State University

This study examined networks associated with picture naming in both healthy and pathological aging. Adults with Alzheimer’s disease and mild cognitive impairment demonstrated greater reliance on domain-general regions and less reliance on canonical language areas compared to their healthy counterparts. Task-residual data and partial correlation were also used to examine functional connectivity across three semantic category networks (animals, tools, and vehicles). Alterations in functional connectivity in Alzheimer’s disease and mild cognitive impairment were characterized by both increases and decreases in network nodes compared to healthy controls, suggesting a pattern of dedifferentiation and overall network disruption across categories. Furthermore, nodes including the right ventral thalamus and caudate as well as the left fusiform gyrus appeared to be particularly vulnerable to functional connectivity changes. Advisors/Committee Members: Bruce Crosson, PhD, Jessica Turner, PhD, Christina Wierenga, PhD, Vonetta Dotson, PhD.

Subjects/Keywords: Functional connectivity; aging; neurodegenerative disease; task-residual; partial correlation; language

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tran, S. (2019). Semantic Network Alterations in Early Alzheimer's Disease and Mild Cognitive Impairment. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/psych_diss/205

Chicago Manual of Style (16th Edition):

Tran, Stella. “Semantic Network Alterations in Early Alzheimer's Disease and Mild Cognitive Impairment.” 2019. Doctoral Dissertation, Georgia State University. Accessed August 22, 2019. https://scholarworks.gsu.edu/psych_diss/205.

MLA Handbook (7th Edition):

Tran, Stella. “Semantic Network Alterations in Early Alzheimer's Disease and Mild Cognitive Impairment.” 2019. Web. 22 Aug 2019.

Vancouver:

Tran S. Semantic Network Alterations in Early Alzheimer's Disease and Mild Cognitive Impairment. [Internet] [Doctoral dissertation]. Georgia State University; 2019. [cited 2019 Aug 22]. Available from: https://scholarworks.gsu.edu/psych_diss/205.

Council of Science Editors:

Tran S. Semantic Network Alterations in Early Alzheimer's Disease and Mild Cognitive Impairment. [Doctoral Dissertation]. Georgia State University; 2019. Available from: https://scholarworks.gsu.edu/psych_diss/205

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