Bipolar disorder (BD) is a complex disease that varies notably in different patients, clinically, cognitively, and in terms of brain function. The reliance on traditional disease classifications (e.g., DSM categorical diagnoses) has yielded an incomplete understanding of the illness. To overcome this, we have applied empirical approaches to classify individuals along neurobiologically relevant dimensions into more homogenous subgroups. These novel subtypes can then be further characterized on the basis of behavioral and biological markers to identify modifiable risk factors that contribute to poor outcomes in people with BD. It is our hope that this approach will make possible a more personalized approach to treatment.
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