Stronger links between brain measures and traits can be obtained when state-of-the-art pattern recognition (or machine learning) algorithms are utilized,.
Since the development of functional magnetic resonance imaging in the 1990s, the reliance on neuroimaging has skyrocketed as researchers investigate how fMRI data from the brain at rest, and anatomical brain structure itself, can be used to predict individual traits, such as depression, cognitive decline, and brain disorders.
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