• Using brain imaging and machine learning techniques, the researchers identified a neural signature of negative emotion -- a single neural activation pattern distributed across the entire brain that accurately predicts how negative a person will feel after viewing unpleasant images.

  • The new study is unusual because of its accuracy -- morethan 90 percent -- and the large number of participants who reflect the generaladult population rather than just college students.

  • The findings could help in diagnosing and treating a rangeof mental and physical health conditions.


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