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9 - State space representation and global descriptors of brain electrical activity

Published online by Cambridge University Press:  15 December 2009

By
Jiří Wackermann  and
Carsten Allefeld
Edited by
Christoph M. Michel ,
Thomas Koenig ,
Daniel Brandeis ,
Lorena R. R. Gianotti  and
Jiří Wackermann
Christoph M. Michel
Affiliation:
Université de Genève
Thomas Koenig
Affiliation:
University Hospital of Psychiatry, Berne, Switzerland
Daniel Brandeis
Affiliation:
Department of Child and Adolescent Psychiatry, University of Zurich, Switzerland and Central Institute of Mental Health, Mannheim, Grmany
Lorena R. R. Gianotti
Affiliation:
Universität Zürich
Jiří Wackermann
Affiliation:
Institute for Frontier Areas of Psychology and Mental Health, Freiburg im Breisgau, Germany
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Summary

The methods introduced in this chapter aim at a comprehensive assessment of the brain's functional state via a small number of “global” quantitative descriptors. Unlike the approaches presented in the preceding chapters, the objective of the global approach is not a mapping of the brain's functions within the real (physical) three-dimensional space, but rather a mapping of the variety of the brain's functional states into an abstract (mathematical) multidimensional space. Nevertheless, the global methodology shares with the other methods the focus on the spatial configuration of brain electrical fields, is closely related to microstate analysis, and as such belongs in the context of functional brain topography and electrical neuroimaging.

The state space representation

The notion of state space

The state, or temporary condition, of a given system is characterized by observations, usually in the form of measurements. For example, the weather situation at a given place and time may be assessed by measuring the temperature θ, the relative humidity h and the air pressure p. A convenient representation of the momentary state, which is characterized by three quantities, is a single point within a three-dimensional state space, located at coordinates (θ, h, p). The state space representation is useful in many cases because it gives an overview over all possible states of the system at once. Moreover, the evolution of the state over time appears as a movement within this space, or, disregarding time measure, as a path consisting of successive state points, the state space trajectory.

Type
Chapter
Information
Electrical Neuroimaging , pp. 191 - 214
Publisher: Cambridge University Press
Print publication year: 2009

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