Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity
Fundacion CITA Alzheimer · Amsterdam UMC Location Vrije Universiteit Amsterdam · +4 more institutions
Abstract
BACKGROUND: Local network connectivity disruptions in Alzheimer's disease patients have been found using graph analysis in BOLD fMRI. Other studies using MEG and cortical thickness measures, however, show more global long distance connectivity changes, both in functional and structural imaging data. The form and role of functional connectivity changes thus remains ambiguous. The current study shows more conclusive data on connectivity changes in early AD using graph analysis on resting-state condition fMRI data. METHODOLOGY/PRINCIPAL FINDINGS: 18 mild AD patients and 21 healthy age-matched control subjects without memory complaints were investigated in resting-state condition with MRI at 1.5 Tesla. Functional…
Citation impact
- FWCI
- 17.84
- Percentile
- 100%
- References
- 75
Authors
8- ESErnesto Sanz‐ArigitaCorresponding
Fundacion CITA Alzheimer, Amsterdam UMC Location Vrije Universiteit Amsterdam
- MMMenno M. Schoonheim
Amsterdam UMC Location Vrije Universiteit Amsterdam
- JSJessica S. Damoiseaux
Stanford University
- SASerge A.R.B. Rombouts
Leiden University, Leiden University Medical Center
- EMEric Maris
Radboud University Nijmegen
Topics & keywords
- Resting state fMRI
- Functional connectivity
- Neuroscience
- Functional magnetic resonance imaging
- Power graph analysis
- Small-world network
- Default mode network
- Disconnection