Synchronous Neural Interactions

Synchronous Neural Interactions (SNI)

Zero-lag partial correlations in pairs of MEG time series and denote the strength and polarity (positive or negative) of neuronal interactions. Anomalies in SNIs as assessed by MEG differentiate psychiatric disorders from healthy brain functioning and can discriminate among various brain diseases. From this research, a highly distinctive, unique PTSD SNI signature characterized by miscommunication of temporal and parietal and/or parieto-occipital right hemispheric areas with other brain areas has emerged. These findings, in addition to the growing research applying MEG to other psychiatric disorders, highlight the utility of MEG in identifying biomarkers of disease and underscore the potential for broader clinical applications of MEG.
assessed by magnetoencephalography: a functional biomarker for brain disorders

Journal of Neural Engineering - 2007-08-27Georgopoulos AP, Karageorgiou E, Leuthold A, Lewis S, Lynch J, Alonso A, Aslam Z, Carpenter A, Georgopoulos A, Hemmy LS, Koutlas I, Langheim F, McCarten JR, McPherson SE, Pardo J, Pardo P, Parry GJ, Rottunda SJ, Segal BM, Sponheim S, Stanwyck JJ, Stephane M, Westermeyer JJ10.1088/1741-2560/4/4/001
We report on a test to assess the dynamic brain function at high temporal resolution using
Magnetoencephalography

Magnetoencephalography (MEG)

A noninvasive technique that detects magnetic fields above the surface of the head produced by postsynaptic potentials in the brain.
. The essence of the test is the measurement of the dynamic
Synchronous Neural Interactions

Synchronous Neural Interactions (SNI)

Zero-lag partial correlations in pairs of MEG time series and denote the strength and polarity (positive or negative) of neuronal interactions. Anomalies in SNIs as assessed by MEG differentiate psychiatric disorders from healthy brain functioning and can discriminate among various brain diseases. From this research, a highly distinctive, unique PTSD SNI signature characterized by miscommunication of temporal and parietal and/or parieto-occipital right hemispheric areas with other brain areas has emerged. These findings, in addition to the growing research applying MEG to other psychiatric disorders, highlight the utility of MEG in identifying biomarkers of disease and underscore the potential for broader clinical applications of MEG.
, an essential aspect of the brain function.
MEG

Magnetoencephalography (MEG)

A noninvasive technique that detects magnetic fields above the surface of the head produced by postsynaptic potentials in the brain.
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 (zij0) 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, Sj"ogren's syndrome, chronic alcoholism, facial pain, healthy controls) and gave excellent external cross-validation results.