Coactivation pattern analysis in prodromal dementia with Lewy bodies and amnestic mild cognitive impairment

GAJDOŠ, Martin, Marie NOVÁKOVÁ, Martin LAMOŠ, Pavel ŘÍHA, Ľubomíra NOVÁKOVÁ, Markéta NEČASOVÁ, Nela NĚMCOVÁ ELFMARKOVÁ, Michal MIKL and Irena REKTOROVÁ. Coactivation pattern analysis in prodromal dementia with Lewy bodies and amnestic mild cognitive impairment. In Mezinárodní workshop funkční magnetické rezonance 2024, Olomouc. 2024.

Basic information

Original name

Coactivation pattern analysis in prodromal dementia with Lewy bodies and amnestic mild cognitive impairment

Authors

GAJDOŠ, Martin (203 Czech Republic, guarantor, belonging to the institution), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Martin LAMOŠ (203 Czech Republic, belonging to the institution), Pavel ŘÍHA (203 Czech Republic, belonging to the institution), Ľubomíra NOVÁKOVÁ (203 Czech Republic, belonging to the institution), Markéta NEČASOVÁ (203 Czech Republic, belonging to the institution), Nela NĚMCOVÁ ELFMARKOVÁ (203 Czech Republic, belonging to the institution), Michal MIKL (203 Czech Republic, belonging to the institution) and Irena REKTOROVÁ (203 Czech Republic, belonging to the institution)

Edition

Mezinárodní workshop funkční magnetické rezonance 2024, Olomouc, 2024

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Other information

Language

English

Type of outcome

Konferenční abstrakt

Field of Study

30103 Neurosciences

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Organization unit

Central European Institute of Technology

Keywords in English

fMRI; dementia with Lewy bodies; coactivation pattern analysis

Tags

CF MAFIL, rivok

Tags

Reviewed

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Abstract

V originále

In this work, we analysed dynamic functional connectivity in resting state fMRI data of 116 subjects (55 HC - healthy controls, 33 aMCI -amnestic mild cognitive impairment and 23 MCI-LB - prodromal stage of dementia with Lewy bodies). We used coactivation pattern analysis and we were able to detect statistically significant changes in dynamic parameters in two out of 7 identified patterns. Differences were observed in comparison MCI-LB vs aMCI and MCI-LB vs HC.

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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