Literature DB >> 26072245

Test-retest reliability of evoked heat stimulation BOLD fMRI.

Jaymin Upadhyay1, Jordan Lemme2, Julie Anderson1, David Bleakman3, Thomas Large4, Jeffrey L Evelhoch5, Richard Hargreaves6, David Borsook1, Lino Becerra7.   

Abstract

To date, the blood oxygenated-level dependent (BOLD) functional magnetic resonance imaging (fMRI) technique has enabled an objective and deeper understanding of pain processing mechanisms embedded within the human central nervous system (CNS). In order to further comprehend the benefits and limitations of BOLD fMRI in the context of pain as well as the corresponding subjective pain ratings, we evaluated the univariate response, test-retest reliability and confidence intervals (CIs) at the 95% level of both data types collected during evoked stimulation of 40°C (non-noxious), 44°C (mildly noxious) and a subject-specific temperature eliciting a 7/10 pain rating. The test-retest reliability between two scanning sessions was determined by calculating group-level interclass correlation coefficients (ICCs) and at the single-subject level. Across the three stimuli, we initially observed a graded response of increasing magnitude for both VAS (visual analog score) pain ratings and fMRI data. Test-retest reliability was observed to be highest for VAS pain ratings obtained during the 7/10 pain stimulation (ICC=0.938), while ICC values of pain fMRI data for a distribution of CNS structures ranged from 0.5 to 0.859 (p<0.05). Importantly, the upper and lower confidence interval CI bounds reported herein could be utilized in subsequent trials involving healthy volunteers to hypothesize the magnitude of effect required to overcome inherent variability of either VAS pain ratings or BOLD responses evoked during innocuous or noxious thermal stimulation.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Evoked heat stimulation; Pain; Test–retest; fMRI

Mesh:

Substances:

Year:  2015        PMID: 26072245     DOI: 10.1016/j.jneumeth.2015.06.001

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  13 in total

Review 1.  A critical evaluation of validity and utility of translational imaging in pain and analgesia: Utilizing functional imaging to enhance the process.

Authors:  Jaymin Upadhyay; Christian Geber; Richard Hargreaves; Frank Birklein; David Borsook
Journal:  Neurosci Biobehav Rev       Date:  2017-08-12       Impact factor: 8.989

2.  Negative mood influences default mode network functional connectivity in patients with chronic low back pain: implications for functional neuroimaging biomarkers.

Authors:  Janelle E Letzen; Michael E Robinson
Journal:  Pain       Date:  2017-01       Impact factor: 6.961

3.  Using prerecorded hemodynamic response functions in detecting prefrontal pain response: a functional near-infrared spectroscopy study.

Authors:  Ke Peng; Meryem A Yücel; Christopher M Aasted; Sarah C Steele; David A Boas; David Borsook; Lino Becerra
Journal:  Neurophotonics       Date:  2017-10-16       Impact factor: 3.593

Review 4.  The role of fMRI in drug development.

Authors:  Owen Carmichael; Adam J Schwarz; Christopher H Chatham; David Scott; Jessica A Turner; Jaymin Upadhyay; Alexandre Coimbra; James A Goodman; Richard Baumgartner; Brett A English; John W Apolzan; Preetham Shankapal; Keely R Hawkins
Journal:  Drug Discov Today       Date:  2017-11-15       Impact factor: 7.851

5.  Functional Near-Infrared Spectroscopy to Assess Central Pain Responses in a Nonpharmacologic Treatment Trial of Osteoarthritis.

Authors:  Luca Pollonini; Samuel Montero-Hernandez; Lindsey Park; Hongyu Miao; Kenneth Mathis; Hyochol Ahn
Journal:  J Neuroimaging       Date:  2020-09-08       Impact factor: 2.486

6.  Effect sizes and test-retest reliability of the fMRI-based neurologic pain signature.

Authors:  Xiaochun Han; Yoni K Ashar; Philip Kragel; Bogdan Petre; Victoria Schelkun; Lauren Y Atlas; Luke J Chang; Marieke Jepma; Leonie Koban; Elizabeth A Reynolds Losin; Mathieu Roy; Choong-Wan Woo; Tor D Wager
Journal:  Neuroimage       Date:  2021-12-20       Impact factor: 6.556

7.  Test-retest reliability of pain-related functional brain connectivity compared with pain self-report.

Authors:  Janelle E Letzen; Jeff Boissoneault; Landrew S Sevel; Michael E Robinson
Journal:  Pain       Date:  2016-03       Impact factor: 7.926

Review 8.  Large-scale functional network overlap is a general property of brain functional organization: Reconciling inconsistent fMRI findings from general-linear-model-based analyses.

Authors:  Jiansong Xu; Marc N Potenza; Vince D Calhoun; Rubin Zhang; Sarah W Yip; John T Wall; Godfrey D Pearlson; Patrick D Worhunsky; Kathleen A Garrison; Joseph M Moran
Journal:  Neurosci Biobehav Rev       Date:  2016-08-31       Impact factor: 8.989

9.  Cell-specific effects of Dyt1 knock-out on sensory processing, network-level connectivity, and motor deficits.

Authors:  B J Wilkes; J C DeSimone; Y Liu; W T Chu; S A Coombes; Y Li; D E Vaillancourt
Journal:  Exp Neurol       Date:  2021-06-10       Impact factor: 5.330

10.  Endogenous opioidergic dysregulation of pain in fibromyalgia: a PET and fMRI study.

Authors:  Andrew Schrepf; Daniel E Harper; Steven E Harte; Heng Wang; Eric Ichesco; Johnson P Hampson; Jon-Kar Zubieta; Daniel J Clauw; Richard E Harris
Journal:  Pain       Date:  2016-10       Impact factor: 7.926

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