Altered connectedness of the brain chronnectome during the progression of Alzheimer's disease
Maryam Ghanbari, Ziqiang Zhou, L-M. Hsu, Yan Han, Yucheng Sun, P-T. Yap, Hongying Zhang, Dinggang Shen
Abstract
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Maryam Ghanbari, Ziqiang Zhou, L-M. Hsu, Yan Han, Yucheng Sun, P-T. Yap, Hongying Zhang, Dinggang Shen
Abstract
Open-access reader
Graph theory has been extensively used to investigate brain network topology and its changes in disease cohorts. However, many graph theoretic analysis-based brain network studies focused on the shortest paths or, more generally, cost-efficiency. In this work, we use two new concepts, connectedness and 2-connectedness, to measure different global properties compared to the previously widely adopted ones.
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Graph theory has been extensively used to investigate brain network topology and its changes in disease cohorts. However, many graph theoretic analysis-based brain network studies focused on the shortest paths or, more generally, cost-efficiency. In this work, we use two new concepts, connectedness and 2-connectedness, to measure different global properties compared to the previously widely adopted ones.
Key concepts: Social connectedness, Graph, Graph theory, Power graph analysis, Network topology, Computer science, Alzheimer's disease, Disease