RT info:eu-repo/semantics/conferenceObject
T1 Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment Using Phase Slope Index
A1 Gómez Peña, Carlos
A1 Ruiz Gómez, Saúl José
A1 Poza Crespo, Jesús
A1 Maturana Candelas, Aarón
A1 Pinto, Nádia
A1 Tola Arribas, Miguel Ángel
A1 Cano, Mónica
A1 Hornero Sánchez, Roberto
AB Mild cognitive impairment (MCI) is a pathologycharacterized by an abnormal cognitive state. MCI patients areconsidered to be at high risk for developing dementia. The aimof this study is to characterize the changes that MCI causes inthe patterns of brain information flow. For this purpose,spontaneous EEG activity from 41 MCI patients and 37 healthycontrols was analyzed by means of an effective connectivitymeasure: the phase slope index (PSI). Our results showedstatistically significant decreases in PSI values mainly at deltaand alpha frequency bands for MCI patients, compared to thecontrol group. These abnormal patterns may be due to thestructural changes in the brain suffered by patients: decreasedhippocampal volume, atrophy of the medial temporal lobe, orloss of gray matter volume. This study suggests the usefulnessof PSI to provide further insights into the underlying braindynamics associated with MCI.
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/31362
UL http://uvadoc.uva.es/handle/10324/31362
LA eng
NO Producción Científica
DS UVaDOC
RD 24-nov-2024