| Literature DB >> 34942367 |
Xiaochun Han1, Yoni K Ashar2, Philip Kragel3, Bogdan Petre4, Victoria Schelkun5, Lauren Y Atlas6, Luke J Chang4, Marieke Jepma7, Leonie Koban8, Elizabeth A Reynolds Losin9, Mathieu Roy10, Choong-Wan Woo11, Tor D Wager12.
Abstract
Identifying biomarkers that predict mental states with large effect sizes and high test-retest reliability is a growing priority for fMRI research. We examined a well-established multivariate brain measure that tracks pain induced by nociceptive input, the Neurologic Pain Signature (NPS). In N = 295 participants across eight studies, NPS responses showed a very large effect size in predicting within-person single-trial pain reports (d = 1.45) and medium effect size in predicting individual differences in pain reports (d = 0.49). The NPS showed excellent short-term (within-day) test-retest reliability (ICC = 0.84, with average 69.5 trials/person). Reliability scaled with the number of trials within-person, with ≥60 trials required for excellent test-retest reliability. Reliability was tested in two additional studies across 5-day (N = 29, ICC = 0.74, 30 trials/person) and 1-month (N = 40, ICC = 0.46, 5 trials/person) test-retest intervals. The combination of strong within-person correlations and only modest between-person correlations between the NPS and pain reports indicate that the two measures have different sources of between-person variance. The NPS is not a surrogate for individual differences in pain reports but can serve as a reliable measure of pain-related physiology and mechanistic target for interventions.Entities:
Keywords: Evoked pain; Individual differences; Measurement properties; Multivariate brain signature; Trial number
Mesh:
Year: 2021 PMID: 34942367 PMCID: PMC8792330 DOI: 10.1016/j.neuroimage.2021.118844
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556