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Synchronous neural interactions assessed by magnetoencephalography: a functional biomarker for brain disorders
Authors:Georgopoulos Apostolos P  Karageorgiou Elissaios  Leuthold Arthur C  Lewis Scott M  Lynch Joshua K  Alonso Aurelio A  Aslam Zaheer  Carpenter Adam F  Georgopoulos Angeliki  Hemmy Laura S  Koutlas Ioannis G  Langheim Frederick J P  McCarten J Riley  McPherson Susan E  Pardo José V  Pardo Patricia J  Parry Gareth J  Rottunda Susan J  Segal Barbara M  Sponheim Scott R  Stanwyck John J  Stephane Massoud  Westermeyer Joseph J
Affiliation:Brain Sciences Center, Veterans Affairs Medical Center, Minneapolis, MN 55417, USA. omega@umn.edu
Abstract:We report on a test to assess the dynamic brain function at high temporal resolution using magnetoencephalography (MEG). The essence of the test is the measurement of the dynamic synchronous neural interactions, an essential aspect of the brain function. MEG signals were recorded from 248 axial gradiometers while 142 human subjects fixated a spot of light for 45-60 s. After fitting an autoregressive integrative moving average (ARIMA) model and taking the stationary residuals, all pairwise, zero-lag, partial cross-correlations (PCC(ij)(0)) and their z-transforms (z(ij)(0)) between i and j sensors were calculated, providing estimates of the strength and sign (positive, negative) of direct synchronous coupling at 1 ms temporal resolution. We found that subsets of z(ij)(0) successfully classified individual subjects to their respective groups (multiple sclerosis, Alzheimer's disease, schizophrenia, Sj?gren's syndrome, chronic alcoholism, facial pain, healthy controls) and gave excellent external cross-validation results.
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