Analysis of functional magnetic resonance imaging data considers temporal correlation of hemodynamic intensity patterns to a known activation paradigm as well as spatial regions of similar responses. Default regions of interest are often obtained by analyst-directed thresholding of intensity or correlation values. This paper presents a method to determine data-driven regions of interest using image erosion to identify structurally significant components in the default regions, namely bridge voxels
Maria A. Rocca, Paola Valsasina, Hanneke E. Hulst, Khaled Abdel‐Aziz, Christian Enzinger, Antonio Gallo, Deborah Pareto, Gianna Carla Riccitelli, Nils Muhlert, Olga Ciccarelli, Frederik Barkhof, Franz Fazekas, Gioacchino Tedeschi, María Jesús Arévalo, Massimo Filippi
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