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Comorbidity in the context of neural network properties

Published online by Cambridge University Press:  29 June 2010

Juliana Yordanova ,
Vasil Kolev ,
Roumen Kirov  and
Aribert Rothenberger
Juliana Yordanova
Affiliation:
Institute of Neurobiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria. jyord@bio.bas.bgkolev@bio.bas.bgru@bio.bas.bashttp://www.bio.bas.bg/neurobiology/
Vasil Kolev
Affiliation:
Institute of Neurobiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria. jyord@bio.bas.bgkolev@bio.bas.bgru@bio.bas.bashttp://www.bio.bas.bg/neurobiology/
Roumen Kirov
Affiliation:
Institute of Neurobiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria. jyord@bio.bas.bgkolev@bio.bas.bgru@bio.bas.bashttp://www.bio.bas.bg/neurobiology/
Aribert Rothenberger
Affiliation:
Child and Adolescent Psychiatry, University of Göttingen, D-37075 Göttingen, Germany. arothen@gwdg.dehttp://www.user.gwdg.de/~ukyk/index.html
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Abstract

Cramer et al.'s network approach reconceptualizes mental comorbidity on the basis of symptom space originating from psychometric signatures. We argue that the advantages of this approach need to be regarded in the context of the multi-level functional organization of the neural substrate, ranging from neurogenetic to psychometric. Neuroelectric oscillations are proposed as a level-integrating principle.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 33 , Issue 2-3 , June 2010 , pp. 176 - 177
Copyright
Copyright © Cambridge University Press 2010

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