Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/17691
Title: | A fast transform for brain connectivity difference evaluation | Authors: | Ivanoska, Ilinka Zanin, Massimiliano Güntekin, Bahar Yener, Görsev Loncar-Turukalo, Tatjana Sveljo, Olivera Papo, David Jakovljevic, Niksa |
Keywords: | Functional brain connectivity · Complex networks · Link difference ranking · Alzheimer’s disease · Schizophrenia | Issue Date: | 12-Apr-2021 | Publisher: | Springer US | Journal: | Neuroinformatics | Abstract: | Anatomical and dynamical connectivity are essential to healthy brain function. However, quantifying variations in connectivity across conditions or between patient populations and appraising their functional significance are highly nontrivial tasks. Here we show that link ranking differences induce specific geometries in a convenient auxiliary space that are often easily recognisable at mere eye inspection. Link ranking can also provide fast and reliable criteria for network reconstruction parameters for which no theoretical guideline has been proposed. | URI: | http://hdl.handle.net/20.500.12188/17691 |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
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Zanin2021_Article_AFastTransformForBrainConnecti.pdf | 1.78 MB | Adobe PDF | View/Open |
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