Integrating objective gene-brain-behavior markers of psychiatric disorders

Evian Gordon, Belinda J. Liddell, Kerri J. Brown, Richard Bryant, Richard C. Clark, Pritha Das, Carol Dobson-Stone, Erin Falconer, Kim Felmingham, Gary Flynn, Justine M. Gatt, Anthony Harris, Daniel F. Hermens, Patrick J. Hopkinson, Andrew H. Kemp, Stacey A. Kuan, Illario Lazzaro, Jonson Moyle, Robert H. Paul, Chris J. RenniePeter Schofield, Thomas Whitford, Leanne M. Williams

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1-34
Number of pages34
JournalJournal of Integrative Neuroscience
Volume6
Issue number1
DOIs
Publication statusPublished - Mar 2007
Externally publishedYes

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