C
Christopher J. Starr
Researcher at Wake Forest University
Publications - 4
Citations - 471
Christopher J. Starr is an academic researcher from Wake Forest University. The author has contributed to research in topics: Cerebral cortex & Threshold of pain. The author has an hindex of 4, co-authored 4 publications receiving 375 citations.
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Journal ArticleDOI
Roles of the Insular Cortex in the Modulation of Pain: Insights from Brain Lesions
Christopher J. Starr,Lumy Sawaki,George F. Wittenberg,Jonathan H. Burdette,Yoshitetsu Oshiro,Alexandre S. Quevedo,Robert C. Coghill +6 more
TL;DR: Results indicate that the insula may be importantly involved in tuning cortical regions to appropriately use previous cognitive information during afferent processing and suggest that a subjectively available experience of pain can be instantiated by brain mechanisms that do not require the insular cortex.
Journal ArticleDOI
The contribution of the putamen to sensory aspects of pain: insights from structural connectivity and brain lesions
Christopher J. Starr,Lumy Sawaki,George F. Wittenberg,George F. Wittenberg,Jonathan H. Burdette,Yoshitetsu Oshiro,Alexandre S. Quevedo,John G. McHaffie,Robert C. Coghill +8 more
TL;DR: Findings indicate that the putamen and the basal ganglia may contribute importantly to the shaping of an individual subjective sensory experience by utilizing internal cognitive information to influence activity of large areas of the cerebral cortex.
Journal ArticleDOI
Pain sensitivity is inversely related to regional grey matter density in the brain
Nichole M. Emerson,Fadel Zeidan,Oleg V. Lobanov,M. Hadsel,Katherine T. Martucci,Alexandre S. Quevedo,Christopher J. Starr,Hadas Nahman-Averbuch,Irit Weissman-Fogel,Yelena Granovsky,Yelena Granovsky,David Yarnitsky,David Yarnitsky,Robert C. Coghill +13 more
TL;DR: Structural variations occurred in areas associated with the default mode network, attentional direction and shifting, as well as somatosensory processing, which underscore the potential importance of processes related to default mode thought and attention in shaping individual differences in pain sensitivity.
Journal ArticleDOI
Psychological and Sensory Predictors of Experimental Thermal Pain: A Multifactorial Model
TL;DR: It is shown that a significant portion of the variability in experimental heat pain ratings may be predicted using simple quantitative sensory testing and a series of psychological questionnaires, and that a reliable model for predicting pain should be constructed from a combination of sensory and psychological factors.