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, Jahrgang 15, Nr. 6, 6, 2012, S. 884-890.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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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 -