RT info:eu-repo/semantics/conferenceObject
T1 Analysis of Electroencephalographic Dynamic Functional Connectivity in Alzheimer’s Disease
A1 Núñez Novo, Pablo
A1 Poza Crespo, Jesús
A1 Gómez Peña, Carlos
A1 Ruiz Gómez, Saúl José
A1 Rodríguez González, Víctor
A1 Tola Arribas, Miguel Ángel
A1 Cano, Mónica
A1 Hornero Sánchez, Roberto
AB The aim of this study was to characterize the dynamicfunctional connectivity of resting-state electroencephalographic(EEG) activity in Alzheimer’s disease (AD). Themagnitude squared coherence (MSCOH) of 50 patientswith dementia due to AD and 28 cognitively healthycontrols was computed. MSCOH was estimated in epochsof 60 s subdivided in overlapping windows of differentlengths (1, 2, 3, 5 and 10 s; 50% overlap). The effect ofepoch length was tested on MSCOH and it was found thatMSCOH stabilized at a window length of 3 s. We testedwhether the MSCOH fluctuations observed reflectedactual changes in functional connectivity by means ofsurrogate data testing, with the standard deviation ofMSCOH chosen as the test statistic. The results showedthat the variability of the measure could be due todynamic functional connectivity. Furthermore, a significantreduction in the dynamic MSCOH connectivity ofAD patients compared to controls was found in the delta(0–4 Hz) and beta-1 (13–30 Hz) bands. This indicatedthat AD patients show lesser variation in neural connectivityduring resting state. Finally, a correlation betweenrelative power and standard deviation was found, suggestingthat an increase/peak in power spectrum could bea pre-requisite for dynamic functional connectivity in aspecific frequency band.
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/31360
UL http://uvadoc.uva.es/handle/10324/31360
LA eng
NO Producción Científica
DS UVaDOC
RD 26-abr-2024