Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease
Amsterdam UMC Location VUmc · Vrije Universiteit Amsterdam · +6 more institutions
Abstract
In this study we examined changes in the large-scale structure of resting-state brain networks in patients with Alzheimer's disease compared with non-demented controls, using concepts from graph theory. Magneto-encephalograms (MEG) were recorded in 18 Alzheimer's disease patients and 18 non-demented control subjects in a no-task, eyes-closed condition. For the main frequency bands, synchronization between all pairs of MEG channels was assessed using a phase lag index (PLI, a synchronization measure insensitive to volume conduction). PLI-weighted connectivity networks were calculated, and characterized by a mean clustering coefficient and path length. Alzheimer's disease patients showed a decrease of mean PLI…
Citation impact
- FWCI
- 16.93
- Percentile
- 100%
- References
- 87
Authors
12Topics & keywords
- Magnetoencephalography
- Clustering coefficient
- Alzheimer's disease
- Neuroscience
- Resting state fMRI
- BETA (programming language)
- Electroencephalography
- Disease