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Components of cross-frequency modulation in health and disease.


ABSTRACT: The cognitive deficits associated with schizophrenia are commonly believed to arise from the abnormal temporal integration of information, however a quantitative approach to assess network coordination is lacking. Here, we propose to use cross-frequency modulation (cfM), the dependence of local high-frequency activity on the phase of widespread low-frequency oscillations, as an indicator of network coordination and functional integration. In an exploratory analysis based on pre-existing data, we measured cfM from multi-channel EEG recordings acquired while schizophrenia patients (n?=?47) and healthy controls (n?=?130) performed an auditory oddball task. Novel application of independent component analysis (ICA) to modulation data delineated components with specific spatial and spectral profiles, the weights of which showed covariation with diagnosis. Global cfM was significantly greater in healthy controls (F(1,175)?=?9.25, P?

SUBMITTER: Allen EA 

PROVIDER: S-EPMC3139214 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Components of cross-frequency modulation in health and disease.

Allen Elena A EA   Liu Jingyu J   Kiehl Kent A KA   Gelernter Joel J   Pearlson Godfrey D GD   Perrone-Bizzozero Nora I NI   Calhoun Vince D VD  

Frontiers in systems neuroscience 20110714


The cognitive deficits associated with schizophrenia are commonly believed to arise from the abnormal temporal integration of information, however a quantitative approach to assess network coordination is lacking. Here, we propose to use cross-frequency modulation (cfM), the dependence of local high-frequency activity on the phase of widespread low-frequency oscillations, as an indicator of network coordination and functional integration. In an exploratory analysis based on pre-existing data, we  ...[more]

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