C
Cornelis J. Stam
Researcher at VU University Amsterdam
Publications - 407
Citations - 43760
Cornelis J. Stam is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Resting state fMRI & Magnetoencephalography. The author has an hindex of 92, co-authored 376 publications receiving 38285 citations. Previous affiliations of Cornelis J. Stam include Vanderbilt University Medical Center & VU University Medical Center.
Papers
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Journal ArticleDOI
Consistent resting-state networks across healthy subjects
Jessica S. Damoiseaux,Serge A.R.B. Rombouts,Frederik Barkhof,Philip Scheltens,Cornelis J. Stam,Stephen M. Smith,Christian F. Beckmann +6 more
TL;DR: 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.
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Phase lag index: assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources.
TL;DR: 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).
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Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field
TL;DR: Interpretation of results in terms of 'functional sources' and 'functional networks' allows the identification of three basic patterns of brain dynamics: normal, ongoing dynamics during a no-task, resting state in healthy subjects, and hypersynchronous, highly nonlinear dynamics of epileptic seizures and degenerative encephalopathies.
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Small-world networks and functional connectivity in Alzheimer's disease
TL;DR: 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.
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Reduced resting-state brain activity in the “default network” in normal aging
Jessica S. Damoiseaux,Christian F. Beckmann,E.J. Sanz Arigita,Frederik Barkhof,Ph. Scheltens,Cornelis J. Stam,Stephen M. Smith,Serge A.R.B. Rombouts,Serge A.R.B. Rombouts +8 more
TL;DR: 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.