| 摘要 |
<p>A set of brain data representing a time series of neurophysiologic activi ty acquired by spatially distributed sensors arranged to detect neural signa ling of a brain (such as by the use of magnetoencephalography) is obtained. The set of brain data is processed to obtain a dynamic brain model based on a set of statistically-independent temporal measures, such as partial cross correlations, among groupings of different time series within the set of bra in data. The dynamic brain model represents interactions between neural popu lations of the brain occurring close in time, such as with zero lag, for exa mple. The dynamic brain model can be analyzed to obtain the neurophysiologic assessment of the brain. Data processing techniques may be used to assess s tructural or neurochemical brain pathologies.</p> |
