Topological data analysis reveals brain connectivity differences between schizophrenia subjects and healthy controls
Emil Dmitruk, Christoph Metzner, Volker Steuber, Shabnam Shabnam · FENS Forum 2024
The aim of this study is to reveal structural connectivity patterns prevalent across a large population and whether any of these patterns differ between schizophrenia subjects (SCH) and healthy controls (HC).We use topological data analysis methods, namely persistent homology using the weight rank clique filtration on brain connectivity matrices obtained from a probabilistic fibre-tracking algorithm run on the Centre for Biomedical Research Excellence (COBRE) dataset (N = 44 SCH, N = 44 HC) to investigate group differences. We show that some of the connectivity structures differ in strength re
ePoster · Neuroscience