Title of article :
Signatures of Depression in Non-Stationary Biometric Time Series
Author/Authors :
Milka Culic، نويسنده , , Biljana Gjoneska، نويسنده , , Hiie Hinrikus، نويسنده , , Magnus J andel، نويسنده , , Wlodzimierz Klonowski، نويسنده , , Hans Liljenstr om، نويسنده , , Nada Pop-Jordanova، نويسنده , , Dan Psatta، نويسنده , , Dietrich von Rosen، نويسنده , , and Bj ornWahlund، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
7
From page :
1
To page :
7
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.
Journal title :
Computational Intelligence and Neuroscience
Serial Year :
2009
Journal title :
Computational Intelligence and Neuroscience
Record number :
678175
Link To Document :
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