Combining functional neuroimaging with machine learning techniques, we have developed brain markers capable of indicating the intensity of pain and negative emotion in individual participants with > 90% accuracy, with no prior knowledge of an individual's experience. In addition to their use as markers, such maps can provide insight into the structure of the neurophysiological representations underlying pain and distress. Our findings to date suggest that specific types of aversive experiences are encoded in separate, population-based patterns that are co-localized in similar gross anatomical circuits. These studies are part of a transformational shift in how neuroimaging data is being used, from early 'blob-based' brain-mapping studies to the development of predictive maps with tangible translational potential. They show that as the field progresses, we may be able to map specific types of subjective experience to specific brain circuits. This endeavor enables cross-species mapping of mechanisms, translational work on treatment development, and new ways of understanding and relieving human suffering.
Dr. Wager is a Professor of Psychology and Neuroscience and a faculty member in the Institute for Cognitive Science at the University of Colorado, Boulder. He received his Ph.D. from the University of Michigan in cognitive psychology in 2003, and served as an Assistant and Associate Professor at Columbia University from 2004-2009. Since 2010, he has directed Boulder’s Cognitive and Affective Neuroscience laboratory. He has a deep interest in how thinking influences affective experiences, affective learning, and brain-body communication. His laboratory also focuses on the development and deployment of analytic methods, and has developed several publically available software toolboxes for fMRI analysis.