2021arXiv (Cornell University)Open access

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

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Abstract

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.

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Available abstract

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

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Altered connectedness of the brain chronnectome during the progression of Alzheimer's disease — Research Paper | ScholarLens