Home WakeSpace Scholarship › Electronic Theses and Dissertations

SEMANTIC NETWORKS AND STAGES OF COGNITIVE IMPAIRMENT: INVESTIGATING DIFFERENCES IN STRUCTURAL CONNECTIVITY AND HUB CENTRALITY ASSOCIATED WITH FLUENCY PERFORMANCE

Electronic Theses and Dissertations

Item Files

Item Details

title
SEMANTIC NETWORKS AND STAGES OF COGNITIVE IMPAIRMENT: INVESTIGATING DIFFERENCES IN STRUCTURAL CONNECTIVITY AND HUB CENTRALITY ASSOCIATED WITH FLUENCY PERFORMANCE
author
Lu, Kunbo
abstract
This study investigated the impact of age-related cognitive impairment on the structure of semantic networks using computational network analysis with three groups of participants: cognitively healthy older adults, individuals with mild cognitive impairment and individuals with Alzheimer’s disease. By analyzing the interconnectivity among items produced on the category verbal fluency test, we mapped the semantic memory structures for the three groups, examining average shortest path length, clustering coefficient, modularity, and the network hubs. These findings indicated a decline in network efficiency, interconnectivity, and structural flexibility as cognitive impairment increases. The hub analysis revealed considerable overlap and item prioritization in the central nodes between the cognitively impaired groups and healthy controls, particularly in the measures of node degree and closeness centrality. However, betweenness centrality differed across the groups, suggesting that the connections linking different parts of the semantic network are particularly affected by changes due to neurodegenerative diseases.
subject
Alzheimer's disease
fluency test
mild cognitive impairment
network analysis
semantic memory
contributor
Jennings, Janine (advisor)
Sali, Anthony (committee member)
Hugenschmidt, Christina (committee member)
date
2024-09-13T08:36:19Z (accessioned)
2024 (issued)
degree
Psychology (discipline)
embargo
2025-09-12 (terms)
2025-09-12 (liftdate)
identifier
http://hdl.handle.net/10339/109843 (uri)
language
en (iso)
publisher
Wake Forest University
type
Thesis

Usage Statistics