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Abstract Details

Activity Number: 226
Type: Topic Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Statistics in Mental Health Research
Abstract - #304680
Title: Developing fMRI-Based Biomarkers for Pain
Author(s): Martin Lindquist*+
Companies: Columbia University
Address: , , ,
Keywords: Brain ; fMRI ; biomarkers ; classification ; machine learning

Biomarkers are a staple of medical tests, but progress in developing biomarkers for mental health-related phenomena has been slow. In this work we present a biomarker based on distributed patterns of fMRI activity that predicts physical pain based on normative data from other individuals. The same biomarker applied to a new study discriminated painful heat from non-painful warmth with high accuracy, but did not respond to social pain (i.e. rejection). The results indicate that physical and social pain are associated with different patterns of fMRI activity, even within regions commonly activated by both conditions. These results help establish a foundation for developing objective biomarkers of subjective phenomena related to mental health.

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