Abstract
Identifying risk markers for depression has long been an elusive goal in psychiatric research. These efforts have been undertaken using a variety of methods investigating environmental, genetic, physiological, and neural candidate markers (1–4). The search for useful and valid risk markers for depression has been plagued by small sample sizes, inconsistent effects, and likely overestimated effect sizes. Even large consortia formed to overcome issues of low statistical power in this endeavor have yet to identify large and replicable effects when seeking neural markers of depression.
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