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. 2009:2009:989824.
doi: 10.1155/2009/989824. Epub 2009 Jun 24.

Signatures of depression in non-stationary biometric time series

Milka Culic  1 , Biljana Gjoneska, Hiie Hinrikus, Magnus Jändel, Wlodzimierz Klonowski, Hans Liljenström, Nada Pop-Jordanova, Dan Psatta, Dietrich von Rosen, Björn Wahlund
Affiliations

Signatures of depression in non-stationary biometric time series

Milka Culic et al. Comput Intell Neurosci. 2009.

Abstract

This paper is based on a discussion that was held during a special session on models of mental disorders, at the NeuroMath meeting in Stockholm, Sweden, in September 2008. At this occasion, scientists from different countries and different fields of research presented their research and discussed open questions with regard to analyses and models of mental disorders, in particular depression. The content of this paper emerged from these discussions and in the presentation we briefly link biomarkers (hormones), bio-signals (EEG) and biomaps (brain-maps via EEG) to depression and its treatments, via linear statistical models as well as nonlinear dynamic models. Some examples involving EEG-data are presented.

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