Rapidly emerging insights from neuroscience are providing a key framework for understanding the causal mechanisms, diagnosis and treatment of neuropsychiatric disorders of mental health. Improved early diagnosis and treatment for these mental health disorders is a key priority area for health service delivery. Brain-related disorders represent 11.5% of the worldwide burden of disease. They impact on 1.25 million Australians, and are ranked third in terms of health expenditure ($3billion in 2000). The Brain Dynamics Centre (BDC) research program is based on integration across each the following domains: Theory : We focus on a complex systems approach to the brain as a framework for integrating neuropsychiatric theories Empirical : We combine data across complementary brain imaging modalities, and are the only research group in Australia with a published track record in the range of high temporal- and spatial-resolution brain imaging techniques. Analysis : Development of sophisticated new methods to go beyond simple averaging, and to address connectivity. Modelling : Development of biophysical models, based on real physiological parameters, which simulate brain function, and allows underlying causal mechanisms to be identified. Clinical translation : Application of the above to clinical groups, to elucidate cause, specificity and treatment efficacy. Centralised infrastructure : The integrative approach is underpinned by a centralized infrastructure of integrated laboratories, standardised experimental protocols, automated data processing systems, and large subject databases for reliable comparisons.   The Centre's unique integrative approach is informed by the complementary insights of an interdisciplinary team spanning a range of biomedical and scientific disciplines (including neuroscience, psychiatry, psychology, radiology, biomedical engineering, physics and mathematics). The integration of mental health research, neuroscience and neuroinformatics has provided BDC with the following outcomes: The focus on a range of neuropsychiatric conditions allows us to determine the specificity of both brain disturbances and treatment to each condition.  We have developed new techniques for integrating measures of brain activity with measures of autonomic arousal and behavioural performance – concurrent data of this kind is critical to elucidating subtle brain functions and dysfunctions. A focus on a number of neuropsychiatric conditions allows us to determine the specificity of both brain disturbances and treatment to each condition. The contribution of neuroinfomatics expertise has led to the development of a suite of new techniques for analysing complex brain imaging data, in both health and disease.

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