State analysis of fMRI in amnestic mild cognitive impairment

GAJDOŠ, Martin, Marie NOVÁKOVÁ, Martin LAMOŠ, Pavel ŘÍHA, Irena REKTOROVÁ and Michal MIKL. State analysis of fMRI in amnestic mild cognitive impairment. In Czech – Austrian Workshop on Magnetic Resonance Imaging and Spectroscopy, 2023, Znojmo. 2023.

Basic information

• Original name: State analysis of fMRI in amnestic mild cognitive impairment
• Authors: GAJDOŠ, Martin, Marie NOVÁKOVÁ, Martin LAMOŠ, Pavel ŘÍHA, Irena REKTOROVÁ and Michal MIKL.
• Edition: Czech – Austrian Workshop on Magnetic Resonance Imaging and Spectroscopy, 2023, Znojmo, 2023.

Other information

• Original language: English
• Type of outcome: Conference abstract
• Field of Study: 30103 Neurosciences
• Country of publisher: Czech Republic
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Organization unit: Central European Institute of Technology
• Tags: CF MAFIL
• Tags: Reviewed

Abstract

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.

Links

• NU21J-04-00077, research and development project: Name: Využití dynamických parametrů funkční konektivity mozku jako diagnostického biomarkeru neurodegenerativních nemocí

Investor: Ministry of Health of the CR, Biomarkers of neurodegenerative diseases based on dynamic functional connectivity, Subprogram 2 - junior

• 90250, large research infrastructures: Name: Czech-BioImaging III