TY - JOUR
T1 - Synchronous neural interactions assessed by magnetoencephalography
T2 - A functional biomarker for brain disorders
AU - Georgopoulos, Apostolos P.
AU - Karageorgiou, Elissaios
AU - Leuthold, Arthur C.
AU - Lewis, Scott M.
AU - Lynch, Joshua K.
AU - Alonso, Aurelio A.
AU - Aslam, Zaheer
AU - Carpenter, Adam F.
AU - Georgopoulos, Angeliki
AU - Hemmy, Laura S.
AU - Koutlas, Ioannis G.
AU - Langheim, Frederick J.P.
AU - McCarten, J. Riley
AU - McPherson, Susan E.
AU - Pardo, José V.
AU - Pardo, Patricia J.
AU - Parry, Gareth J.
AU - Rottunda, Susan J.
AU - Segal, Barbara M.
AU - Sponheim, Scott R.
AU - Stanwyck, John J.
AU - Stephane, Massoud
AU - Westermeyer, Joseph J.
PY - 2007/12/1
Y1 - 2007/12/1
N2 - 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 (PCCij0) and their z-transforms (zij 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 zij0 successfully classified individual subjects to their respective groups (multiple sclerosis, Alzheimer's disease, schizophrenia, Sjögren's syndrome, chronic alcoholism, facial pain, healthy controls) and gave excellent external cross-validation results.
AB - 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 (PCCij0) and their z-transforms (zij 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 zij0 successfully classified individual subjects to their respective groups (multiple sclerosis, Alzheimer's disease, schizophrenia, Sjögren's syndrome, chronic alcoholism, facial pain, healthy controls) and gave excellent external cross-validation results.
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U2 - 10.1088/1741-2560/4/4/001
DO - 10.1088/1741-2560/4/4/001
M3 - Article
C2 - 18057502
AN - SCOPUS:36949029582
SN - 1741-2560
VL - 4
SP - 349
EP - 355
JO - Journal of Neural Engineering
JF - Journal of Neural Engineering
IS - 4
ER -