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Large-scale cortical correlation structure of spontaneous oscillatory activity.

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Large-scale cortical correlation structure of spontaneous oscillatory activity. / Hipp, Jörg; Hawellek, David; Corbetta, Maurizio; Siegel, Markus; Engel, Andreas K.

In: NAT NEUROSCI, Vol. 15, No. 6, 6, 2012, p. 884-890.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Hipp, J, Hawellek, D, Corbetta, M, Siegel, M & Engel, AK 2012, 'Large-scale cortical correlation structure of spontaneous oscillatory activity.', NAT NEUROSCI, vol. 15, no. 6, 6, pp. 884-890. <http://www.ncbi.nlm.nih.gov/pubmed/22561454?dopt=Citation>

APA

Hipp, J., Hawellek, D., Corbetta, M., Siegel, M., & Engel, A. K. (2012). Large-scale cortical correlation structure of spontaneous oscillatory activity. NAT NEUROSCI, 15(6), 884-890. [6]. http://www.ncbi.nlm.nih.gov/pubmed/22561454?dopt=Citation

Vancouver

Hipp J, Hawellek D, Corbetta M, Siegel M, Engel AK. Large-scale cortical correlation structure of spontaneous oscillatory activity. NAT NEUROSCI. 2012;15(6):884-890. 6.

Bibtex

@article{93d65a85ff994b328b2780d2adb7c56b,
title = "Large-scale cortical correlation structure of spontaneous oscillatory activity.",
abstract = "Little is known about the brain-wide correlation of electrophysiological signals. We found that spontaneous oscillatory neuronal activity exhibited frequency-specific spatial correlation structure in the human brain. We developed an analysis approach that discounts spurious correlation of signal power caused by the limited spatial resolution of electrophysiological measures. We applied this approach to source estimates of spontaneous neuronal activity reconstructed from magnetoencephalography. Overall, correlation of power across cortical regions was strongest in the alpha to beta frequency range (8–32 Hz) and correlation patterns depended on the underlying oscillation frequency. Global hubs resided in the medial temporal lobe in the theta frequency range (4–6 Hz), in lateral parietal areas in the alpha to beta frequency range (8–23 Hz) and in sensorimotor areas for higher frequencies (32–45 Hz). Our data suggest that interactions in various large-scale cortical networks may be reflected in frequency-specific power envelope correlations.",
keywords = "Adult, Humans, Male, Female, Image Interpretation, Computer-Assisted, *Brain Mapping, *Models, Neurological, Nerve Net/*physiology, Cerebral Cortex/*physiology, *Magnetoencephalography, Adult, Humans, Male, Female, Image Interpretation, Computer-Assisted, *Brain Mapping, *Models, Neurological, Nerve Net/*physiology, Cerebral Cortex/*physiology, *Magnetoencephalography",
author = "J{\"o}rg Hipp and David Hawellek and Maurizio Corbetta and Markus Siegel and Engel, {Andreas K.}",
year = "2012",
language = "English",
volume = "15",
pages = "884--890",
journal = "NAT NEUROSCI",
issn = "1097-6256",
publisher = "NATURE PUBLISHING GROUP",
number = "6",

}

RIS

TY - JOUR

T1 - Large-scale cortical correlation structure of spontaneous oscillatory activity.

AU - Hipp, Jörg

AU - Hawellek, David

AU - Corbetta, Maurizio

AU - Siegel, Markus

AU - Engel, Andreas K.

PY - 2012

Y1 - 2012

N2 - Little is known about the brain-wide correlation of electrophysiological signals. We found that spontaneous oscillatory neuronal activity exhibited frequency-specific spatial correlation structure in the human brain. We developed an analysis approach that discounts spurious correlation of signal power caused by the limited spatial resolution of electrophysiological measures. We applied this approach to source estimates of spontaneous neuronal activity reconstructed from magnetoencephalography. Overall, correlation of power across cortical regions was strongest in the alpha to beta frequency range (8–32 Hz) and correlation patterns depended on the underlying oscillation frequency. Global hubs resided in the medial temporal lobe in the theta frequency range (4–6 Hz), in lateral parietal areas in the alpha to beta frequency range (8–23 Hz) and in sensorimotor areas for higher frequencies (32–45 Hz). Our data suggest that interactions in various large-scale cortical networks may be reflected in frequency-specific power envelope correlations.

AB - Little is known about the brain-wide correlation of electrophysiological signals. We found that spontaneous oscillatory neuronal activity exhibited frequency-specific spatial correlation structure in the human brain. We developed an analysis approach that discounts spurious correlation of signal power caused by the limited spatial resolution of electrophysiological measures. We applied this approach to source estimates of spontaneous neuronal activity reconstructed from magnetoencephalography. Overall, correlation of power across cortical regions was strongest in the alpha to beta frequency range (8–32 Hz) and correlation patterns depended on the underlying oscillation frequency. Global hubs resided in the medial temporal lobe in the theta frequency range (4–6 Hz), in lateral parietal areas in the alpha to beta frequency range (8–23 Hz) and in sensorimotor areas for higher frequencies (32–45 Hz). Our data suggest that interactions in various large-scale cortical networks may be reflected in frequency-specific power envelope correlations.

KW - Adult

KW - Humans

KW - Male

KW - Female

KW - Image Interpretation, Computer-Assisted

KW - Brain Mapping

KW - Models, Neurological

KW - Nerve Net/physiology

KW - Cerebral Cortex/physiology

KW - Magnetoencephalography

KW - Adult

KW - Humans

KW - Male

KW - Female

KW - Image Interpretation, Computer-Assisted

KW - Brain Mapping

KW - Models, Neurological

KW - Nerve Net/physiology

KW - Cerebral Cortex/physiology

KW - Magnetoencephalography

M3 - SCORING: Journal article

VL - 15

SP - 884

EP - 890

JO - NAT NEUROSCI

JF - NAT NEUROSCI

SN - 1097-6256

IS - 6

M1 - 6

ER -