Measures of Global Brain Dynamics Define Differences in Neural State

摘要: CONCLUSIONSAn initial step toward methods validation indicates that we can correctly classify neural state as wake, N2 or SWS sleep based on the global dynamics of the system as assessed by the log spectral density exponent. Using the MLSD technique, state discriminations are based on a set of frequency bands that is data driven rather than assumed. This data-driven approach indicates that discrimination is strongly subject-specific. It is highly likely that, however strong the discrimination is in specifically chosen states, discrimination on a single measure when accomplished on continuous data will require that more factors be included. Future work will examine this hypothesis.