Test-retest reliability of pain-related brain activity in healthy controls undergoing experimental thermal pain.

UNLABELLED Although functional magnetic resonance imaging (fMRI) has been proposed as a method to elucidate pain-related biomarkers, little information exists related to psychometric properties of fMRI findings. This knowledge is essential for potential translation of this technology to clinical settings. The purpose of this study was to assess the test-retest reliability of pain-related brain activity and how it compares to the reliability of self-report. Twenty-two healthy controls (mean age = 22.6 years, standard deviation = 2.9) underwent 3 runs of an fMRI paradigm that used thermal stimuli to elicit experimental pain. Functional MRI summary statistics related to brain activity during thermal stimulation periods were extracted from bilateral anterior cingulate cortices and anterior insula. Intraclass correlations (ICCs) were conducted on these summary statistics and generally showed "good" test-retest reliability in all regions of interest (ICC range = .32-.88; mean = .71); however, these results did not surpass ICC values from pain ratings, which fell within the "excellent" range (ICC range = .93-.96; mean = .94). Findings suggest that fMRI is a valuable tool for measuring pain mechanisms but did not show an adequate level of test-retest reliability for fMRI to potentially act as a surrogate for individuals' self-report of pain. PERSPECTIVE This study is one of the first reports to demonstrate the test-retest reliability of fMRI findings related to pain processing and provides a comparison to the reliability of subjective reports of pain. This information is essential for determining whether fMRI technology should be potentially translated for clinical use.

[1]  Scott Holland,et al.  Reliability of fMRI for studies of language in post-stroke aphasia subjects , 2008, NeuroImage.

[2]  L. Epstein,et al.  Low back pain: reliability of a set of pain measurement tools. , 2001, Archives of physical medicine and rehabilitation.

[3]  S. Mackey,et al.  Central neuroimaging of pain. , 2013, The journal of pain : official journal of the American Pain Society.

[4]  Karen D Davis,et al.  Neuroimaging of pain: what does it tell us? , 2011, Current opinion in supportive and palliative care.

[5]  P. Bijur,et al.  Reliability of the visual analog scale for measurement of acute pain. , 2001, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[6]  Robert C. Coghill,et al.  Neural correlates of interindividual differences in the subjective experience of pain , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[7]  S. Rombouts,et al.  Within-subject reproducibility of visual activation patterns with functional magnetic resonance imaging using multislice echo planar imaging. , 1998, Magnetic resonance imaging.

[8]  Steven C. R. Williams,et al.  Measuring fMRI reliability with the intra-class correlation coefficient , 2009, NeuroImage.

[9]  Rgn Pgce Amelia Williamson MSc,et al.  Pain: a review of three commonly used pain rating scales , 2005 .

[10]  K. Wartolowska How neuroimaging can help us to visualise and quantify pain , 2011 .

[11]  K. Grafton,et al.  Test-Retest Reliability of the Short-Form McGill Pain Questionnaire: Assessment of Intraclass Correlation Coefficients and Limits of Agreement in Patients With Osteoarthritis , 2005, The Clinical journal of pain.

[12]  David H. Jones,et al.  Test-retest reliability of pressure pain threshold measurements of the upper limb and torso in young healthy women. , 2007, The journal of pain : official journal of the American Pain Society.

[13]  Emma G Duerden,et al.  Localization of pain‐related brain activation: A meta‐analysis of neuroimaging data , 2013, Human brain mapping.

[14]  Tilo Kircher,et al.  Test-Retest Reliability of fMRI Brain Activity during Memory Encoding , 2013, Front. Psychiatry.

[15]  D. Cicchetti,et al.  Developing criteria for establishing interrater reliability of specific items: applications to assessment of adaptive behavior. , 1981, American journal of mental deficiency.

[16]  Paul J. Laurienti,et al.  An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets , 2003, NeuroImage.

[17]  D. Price,et al.  Pain measurement and brain activity: will neuroimages replace pain ratings? , 2013, The journal of pain : official journal of the American Pain Society.

[18]  Peter Kirsch,et al.  Test–retest reliability of evoked BOLD signals from a cognitive–emotive fMRI test battery , 2012, NeuroImage.

[19]  D. Price,et al.  The validation of visual analogue scales as ratio scale measures for chronic and experimental pain , 1983, Pain.

[20]  D. Price,et al.  Characteristics of electronic visual analogue and numerical scales for ratings of experimental pain in healthy subjects and fibromyalgia patients , 2008, PAIN.

[21]  P. Bijur,et al.  Reliability and validity of a visual analog scale for acute abdominal pain in the ED. , 2002, The American journal of emergency medicine.

[22]  Michael B. Miller,et al.  How reliable are the results from functional magnetic resonance imaging? , 2010, Annals of the New York Academy of Sciences.

[23]  L. Becerra,et al.  Biomarkers for chronic pain and analgesia. Part 2: how, where, and what to look for using functional imaging. , 2011, Discovery medicine.

[24]  O. Dietrich,et al.  Test–retest reproducibility of the default‐mode network in healthy individuals , 2009, Human brain mapping.

[25]  A. Vania Apkarian,et al.  Pain and the brain: Specificity and plasticity of the brain in clinical chronic pain , 2011, PAIN.

[26]  A. Franco,et al.  Toward a neuroimaging treatment selection biomarker for major depressive disorder. , 2013, JAMA psychiatry.

[27]  L. Becerra,et al.  Biomarkers for chronic pain and analgesia. Part 1: the need, reality, challenges, and solutions. , 2011, Discovery medicine.

[28]  R. Staud Predictors of clinical pain intensity in patients with fibromyalgia syndrome , 2005, Current rheumatology reports.

[29]  S. Derbyshire,et al.  What does it mean to call chronic pain a brain disease? , 2013, The journal of pain : official journal of the American Pain Society.

[30]  Russell A. Poldrack,et al.  Long-term test–retest reliability of functional MRI in a classification learning task , 2006, NeuroImage.

[31]  Krish D. Singh,et al.  fMRI of Thermal Pain: Effects of Stimulus Laterality and Attention , 2002, NeuroImage.

[32]  B. Hoggart,et al.  Pain: a review of three commonly used pain rating scales. , 2005, Journal of clinical nursing.

[33]  M. Jensen,et al.  The validity and reliability of pain measures in adults with cancer. , 2003, The journal of pain : official journal of the American Pain Society.