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Consistent resting-state networks across healthy subjects
- J. Damoiseaux, S. Rombouts, C. Beckmann
- Psychology, BiologyProceedings of the National Academy of Sciences
- 12 September 2006
Findings show that the baseline activity of the brain is consistent across subjects exhibiting significant temporal dynamics, with percentage BOLD signal change comparable with the signal changes found in task-related experiments.
Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources
A novel measure to quantify phase synchronization, the phase lag index (PLI), is proposed and its performance is compared to the well‐known phase coherence (PC), and to the imaginary component of coherency (IC).
Reduced resting-state brain activity in the "default network" in normal aging.
This work examined the functional properties of brain networks based on spontaneous fluctuations within brain systems using functional magnetic resonance imaging to hypothesized that functional connectivity of intrinsic brain activity in the "default-mode" network (DMN) is affected by normal aging and that this relates to cognitive function.
Small-world networks and functional connectivity in Alzheimer's disease.
- C. Stam, B. Jones, G. Nolte, M. Breakspear, P. Scheltens
- Computer ScienceCerebral cortex
- 1 February 2006
Graph theoretical analysis was applied to matrices of functional connectivity of beta band-filtered electroencephalography (EEG) channels and it was demonstrated that AD is characterized by a loss of small-world network characteristics.
Modern network science of neurological disorders
- C. Stam
- PsychologyNature Reviews Neuroscience
- 1 October 2014
Modern network science has revealed fundamental aspects of normal brain-network organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and rich clubs, to use to gain a better understanding of brain disease.
Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease.
Alzheimer's disease patients display a loss of resting-state functional connectivity in lower alpha and beta bands even when a measure insensitive to volume conduction effects is used, and the modelling results suggest that highly connected neural network 'hubs' may be especially at risk in Alzheimer's disease.
Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study
- S. Rombouts, F. Barkhof, R. Goekoop, C. Stam, P. Scheltens
- Biology, PsychologyHuman brain mapping
- 1 December 2005
Altered activity in the default mode network may act as an early marker for AD pathology, suggesting that MCI is a transitional state between healthy aging and dementia and with the proposed early changes in MCI in the posterior cingulate cortex and precuneus.
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
A number of methods used in social sciences that build on statistics of local network structures including exponential random graph models and motif counting are added, showing that none of the here-investigated methods allows for a reliable and fully unbiased comparison, but some perform better than others.
Graph theoretical analysis of complex networks in the brain
These studies suggest that the human brain can be modelled as a complex network, and may have a small-world structure both at the level of anatomical as well as functional connectivity, and increasing evidence that various types of brain disease may be associated with deviations of the functional network topology from the optimal small- world pattern.