State analysis of fMRI in amnestic mild cognitive impairment

Varování

Publikace nespadá pod Ústav výpočetní techniky, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.

Autoři	GAJDOŠ Martin NOVÁKOVÁ Marie LAMOŠ Martin ŘÍHA Pavel REKTOROVÁ Irena MIKL Michal
Rok publikování	2023
Druh	Konferenční abstrakty
Fakulta / Pracoviště MU	Středoevropský technologický institut
Citace
Popis	Amnestic mild cognitive impairment (aMCI) is transitional state between normal aging and early dementia. In this work, we studied dynamic functional connectivity captured with sliding window analysis, whoch was performed on a dataset of 76 subjects (38 HC + 38 aMCI). We found significant differences in coverage in 2 out of 4 identified states. Moreover, with support vector machine, we were able to discriminate between these two groups with approx. 95% accuracy. In future work, we plan to crossvalidate presented classifier. Amnestic mild cognitive impairment (aMCI) is transitional state between normal aging and early dementia. In this work, we studied dynamic functional connectivity captured with sliding window analysis, whoch was performed on a dataset of 76 subjects (38 HC + 38 aMCI). We found significant differences in coverage in 2 out of 4 identified states. Moreover, with support vector machine, we were able to discriminate between these two groups with approx. 95% accuracy. In future work, we plan to crossvalidate presented classifier.
Související projekty:	Využití dynamických parametrů funkční konektivity mozku jako diagnostického biomarkeru neurodegenerativních nemocí