2026-04-23T00:19:29Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/313622025-02-19T12:59:41Zcom_10324_23459com_10324_954com_10324_894col_10324_23462

Gómez Peña, Carlos Ruiz Gómez, Saúl José Poza Crespo, Jesús Maturana Candelas, Aaron Pinto, Nádia Tola Arribas, Miguel Ángel Cano, Mónica Hornero Sánchez, Roberto 2018 Producción Científica Mild cognitive impairment (MCI) is a pathology characterized by an abnormal cognitive state. MCI patients are considered to be at high risk for developing dementia. The aim of this study is to characterize the changes that MCI causes in the patterns of brain information flow. For this purpose, spontaneous EEG activity from 41 MCI patients and 37 healthy controls was analyzed by means of an effective connectivity measure: the phase slope index (PSI). Our results showed statistically significant decreases in PSI values mainly at delta and alpha frequency bands for MCI patients, compared to the control group. These abnormal patterns may be due to the structural changes in the brain suffered by patients: decreased hippocampal volume, atrophy of the medial temporal lobe, or loss of gray matter volume. This study suggests the usefulness of PSI to provide further insights into the underlying brain dynamics associated with MCI. application/pdf http://uvadoc.uva.es/handle/10324/31362 eng Assessment of EEG connectivity patterns in mild cognitive impairment using phase slope index info:eu-repo/semantics/conferenceObject TEXT UVaDOC. Repositorio Documental de la Universidad de Valladolid Hispana