title: Signatures of depression in non-stationary biometric time series.
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.
authors: Department of Neurobiology Institute for Biological Research, University of Belgrade, 11000 Belgrade, Serbia.
authors: Milka
authors: M
authors: Culic
authors: Biljana
authors: B
authors: Gjoneska
authors: Hiie
authors: H
authors: Hinrikus
authors: Magnus
authors: M
authors: Jändel
authors: Wlodzimierz
authors: W
authors: Klonowski
authors: Hans
authors: H
authors: Liljenström
authors: Nada
authors: N
authors: Pop-Jordanova
authors: Dan
authors: D
authors: Psatta
authors: Dietrich
authors: D
authors: von Rosen
authors: Björn
authors: B
authors: Wahlund