Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

EEG and MEG (magnetoencephalography) are widely used to study functional connectivity between different brain regions. We address the question whether such connectivity patterns display an optimal organization for information processing. MEG recordings of five healthy human subjects were converted to sparsely connected graphs (N=126; k=15) by applying a suitable threshold to the N * N matrix of synchronization strengths. For intermediate frequencies (8-30 Hz) the synchronization patterns were similar to those of an ordered graph with a consistent drop of synchronization strength as a function of distance. For low (<8 Hz) and high (>30 Hz) frequency bands the synchronization patterns displayed the features of a so-called 'small-world' network. This might reflect an optimal organization pattern for information processing, connecting any two brain area by only a small number of intermediate steps.

Original languageEnglish
Pages (from-to)25-8
Number of pages4
JournalNeuroscience Letters
Volume355
Issue number1-2
Publication statusPublished - 23 Jan 2004

Cite this

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title = "Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?",
abstract = "EEG and MEG (magnetoencephalography) are widely used to study functional connectivity between different brain regions. We address the question whether such connectivity patterns display an optimal organization for information processing. MEG recordings of five healthy human subjects were converted to sparsely connected graphs (N=126; k=15) by applying a suitable threshold to the N * N matrix of synchronization strengths. For intermediate frequencies (8-30 Hz) the synchronization patterns were similar to those of an ordered graph with a consistent drop of synchronization strength as a function of distance. For low (<8 Hz) and high (>30 Hz) frequency bands the synchronization patterns displayed the features of a so-called 'small-world' network. This might reflect an optimal organization pattern for information processing, connecting any two brain area by only a small number of intermediate steps.",
keywords = "Action Potentials/physiology, Brain/anatomy & histology, Cognition/physiology, Cortical Synchronization, Electroencephalography, Humans, Magnetoencephalography, Memory/physiology, Models, Neurological, Nerve Net/anatomy & histology, Neural Pathways/anatomy & histology",
author = "Stam, {C J}",
year = "2004",
month = "1",
day = "23",
language = "English",
volume = "355",
pages = "25--8",
journal = "Neuroscience Letters",
issn = "0304-3940",
publisher = "Elsevier Ireland Ltd",
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}

Functional connectivity patterns of human magnetoencephalographic recordings : a 'small-world' network? / Stam, C J.

In: Neuroscience Letters, Vol. 355, No. 1-2, 23.01.2004, p. 25-8.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Functional connectivity patterns of human magnetoencephalographic recordings

T2 - a 'small-world' network?

AU - Stam, C J

PY - 2004/1/23

Y1 - 2004/1/23

N2 - EEG and MEG (magnetoencephalography) are widely used to study functional connectivity between different brain regions. We address the question whether such connectivity patterns display an optimal organization for information processing. MEG recordings of five healthy human subjects were converted to sparsely connected graphs (N=126; k=15) by applying a suitable threshold to the N * N matrix of synchronization strengths. For intermediate frequencies (8-30 Hz) the synchronization patterns were similar to those of an ordered graph with a consistent drop of synchronization strength as a function of distance. For low (<8 Hz) and high (>30 Hz) frequency bands the synchronization patterns displayed the features of a so-called 'small-world' network. This might reflect an optimal organization pattern for information processing, connecting any two brain area by only a small number of intermediate steps.

AB - EEG and MEG (magnetoencephalography) are widely used to study functional connectivity between different brain regions. We address the question whether such connectivity patterns display an optimal organization for information processing. MEG recordings of five healthy human subjects were converted to sparsely connected graphs (N=126; k=15) by applying a suitable threshold to the N * N matrix of synchronization strengths. For intermediate frequencies (8-30 Hz) the synchronization patterns were similar to those of an ordered graph with a consistent drop of synchronization strength as a function of distance. For low (<8 Hz) and high (>30 Hz) frequency bands the synchronization patterns displayed the features of a so-called 'small-world' network. This might reflect an optimal organization pattern for information processing, connecting any two brain area by only a small number of intermediate steps.

KW - Action Potentials/physiology

KW - Brain/anatomy & histology

KW - Cognition/physiology

KW - Cortical Synchronization

KW - Electroencephalography

KW - Humans

KW - Magnetoencephalography

KW - Memory/physiology

KW - Models, Neurological

KW - Nerve Net/anatomy & histology

KW - Neural Pathways/anatomy & histology

M3 - Article

VL - 355

SP - 25

EP - 28

JO - Neuroscience Letters

JF - Neuroscience Letters

SN - 0304-3940

IS - 1-2

ER -