Reciprocal humoral regulation of endocrine noradrenaline sources in perinatal development of rats
Connectivity measures are (typically bivariate) statistical measures that may be used to estimate interactions between brain regions from electrophysiological data. We review both formal and informal descriptions of a range of such measures, suitable for the analysis of human brain electrophysiological data, principally electro- and magnetoencephalography. Methods are described in the space–time,space–frequency, and space–time–frequency domains. Signal processing and information theoretic measures are considered, and linear and nonlinear methods are distinguished. A novel set of crosstime–frequency measures is introduced, including a cross-time–frequency phase synchronization measure.
The article reveals an attempt of the author to analyze the development of personality and its main components in ontogenesis using the system-structural approach. We regard these psychological phenomena as multidimensional, multilevel holistic formations, the origin of which, further development and functioning are characterized by distinct heterochrony. Our study of time phenomenon in personality evolution is based on B. Ananyev's definition of the person's age not only as ontogenetic phase succession but also as social life of a person, as well as the history of personality formation in a particular society at a certain stage of its historical development. As a methodological basis for this analysis of personality and its ontogenetic development we use the system approach and time phenomenon as an integral characteristic of person's evolution according to B. Ananyev.