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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