A new approach to neuroimaging analysis

A new method for neuroimaging analysis is shown to work with small groups of participants, opening the door for many studies that don't have access to massive sets of brain images.

"It's not always possible to have thousands of individuals," said Makowski."There are so many studies and grants that are based on smaller datasets." "When there are a lot of especially well-structured data that are relevant to complex outcomes that we hope to predict, we can use multivariate methods -- which are often referred to as AI by the way -- to 'train' a large dataset," Jernigan said. She added that"tuning" of select relationships in a large dataset sharpens the predictive power when applied to smaller studies.

"There is a reason the ABCD was so large in the first place," he said."It was really because you wanted to be able to look at effects in a subset of individuals. We want to look at things like substance use outcomes, psychiatric outcomes, dementia. That's why it was designed that way."

Psychology Child Development Neuroscience Behavior Dementia Brain-Computer Interfaces Memory

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