Title
Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment Using Phase Slope Index
Abstract
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 (PSl). 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.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8512270
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Keywords
Field
DocType
Brain,Cognitive Dysfunction,Electroencephalography,Gray Matter,Humans,Magnetic Resonance Imaging
Alpha (ethology),Computer vision,Computer science,Artificial intelligence,Audiology,Atrophy,Cognition,Hippocampal formation,Electroencephalography,Temporal lobe,Dementia,Cognitive impairment
Conference
Volume
ISSN
ISBN
2018
1557-170X
978-1-5386-3647-3
Citations 
PageRank 
References 
0
0.34
3
Authors
9