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Integrating objective gene-brain-behavior markers of psychiatric disorders
Journal article   Peer reviewed

Integrating objective gene-brain-behavior markers of psychiatric disorders

E Gordon, Belinda J Liddell, K J Brown, R Bryant, C Richard Clark, P Das, C Dobson-Stone, E Falconer, K Felmingham, G Flynn, …
Journal of Integrative Neuroscience, Vol.6(1), pp.1-34
2007
url
https://doi.org/10.1142/S0219635207001465View
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Abstract

integrative neuroscience markers genetic genomic neuroimaging EEG/ERPs MRI fMRI autonomic general and social cognition psychiatric disorders
There is little consensus about which objective markers should be used to assess major psychiatric disorders, and predict/evaluate treatment response for these disorders. Clinical practice relies instead on subjective signs and symptoms, such that there is a "translational gap" between research findings and clinical practice. This gap arises from: a) a lack of integrative theoretical models which provide a basis for understanding links between gene-brain-behavior mechanisms and clinical entities; b) the reliance on studying one measure at a time so that linkages between markers are their specificity are not established; and c) the lack of a definitive understanding of what constitutes normative function. Here, we draw on a standardized methodology for acquiring multiple sources of genomic, brain and behavioral data in the same subjects, to propose candidate markers of selected psychiatric disorders: depression, post-traumatic stress disorder, schizophrenia, attention-deficit/hyperactivity disorder and dementia disorders. This methodology has been used to establish a standardized international database which provides a comprehensive framework and the basis for testing hypotheses derived from an integrative theoretical model of the brain. Using this normative base, we present preliminary findings for a number of disorders in relation to the proposed markers. Establishing these objective markers will be the first step towards determining their sensitivity, specificity and treatment prediction in individual patients. © 2007 Imperial College Press.

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