TY - JOUR A2 - Astolfi, Laura AU - Culic, Milka AU - Gjoneska, Biljana AU - Hinrikus, Hiie AU - Jändel, Magnus AU - Klonowski, Wlodzimierz AU - Liljenström, Hans AU - Pop-Jordanova, Nada AU - Psatta, Dan AU - von Rosen, Dietrich AU - Wahlund, Björn PY - 2009 DA - 2009/06/24 TI - Signatures of Depression in Non-Stationary Biometric Time Series SP - 989824 VL - 2009 AB - 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. SN - 1687-5265 UR - https://doi.org/10.1155/2009/989824 DO - 10.1155/2009/989824 JF - Computational Intelligence and Neuroscience PB - Hindawi Publishing Corporation KW - ER -