Využití fast eigenvector centrality ke sledování dynamiky fMRI dat v prodromálním stádiu demence s Lewyho tělísky

Warning

This publication doesn't include Institute of Computer Science. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.

Title in English	Using fast eigenvector centrality to monitor the dynamics of fMRI data in the prodromal stage of dementia with Lewy bodies
Authors	GAJDOŠ Martin NOVÁKOVÁ Marie LAMOŠ Martin ŘÍHA Pavel MIKL Michal REKTOROVÁ Irena
Year of publication	2023
Type	Conference abstract
MU Faculty or unit	Central European Institute of Technology
Citation
Description	Dementia with Lewy bodies (DLB) is the second most common cause of degenerative dementia after Alzheimer's disease. Mild Cognitive Impairment (MCI) The symptomatic period before the onset of dementia is called Mild Cognitive Impairment (MCI). DLB is caused by the accumulation of the protein alpha-synuclein (=Lewy bodies) between neurons in the brain. From the point of view of neuropsychology, dementia manifests itself as a disturbance of cognition manifested mainly by attention disorders, visual hallucinations, REM sleep disorders (RBD), and parkinsonism. Diagnosis can be made using biomarkers - a decrease in the uptake of the dopamine transporter (DaT) in the basal ganglia (SPECT/PET), polysomnography - diagnosis of RBD or brain atrophy imaging - a structural MRI analysis of brain functions and functional fMRI in resting state. This thesis uses fast eigenvector centrality to monitor the dynamics of fMRI data in the prodromal stage of dementia with Lewy bodies.
Related projects:	Biomarkers of neurodegenerative diseases based on dynamic functional connectivity