Identifying neuropathic pain using 18F-FDG micro-PET: A multivariate pattern analysis

NeuroImage

Volumn 86, Issue , 2014, Pages 311-316

  Kim, Chang Eop ^a   Kim, Yu Kyeong ^a   Chung, Geehoon ^a   Im, Hyung Jun ^a   Lee, Dong Soo ^a   Kim, Jun ^a   Kim, Sang Jeong ^a  

^a Seoul National University   (South Korea)

Author keywords

FDG micro PET; Multivariate pattern analysis; Pain; Resting brain metabolism

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ADULT; AMYGDALOID NUCLEUS; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BRAIN MAPPING; BRAIN REGION; CEREBELLUM; ELECTROENCEPHALOGRAM; FOREBRAIN; HYPOTHALAMUS; INSULA; MALE; MEASUREMENT ACCURACY; MULTIVARIATE ANALYSIS; NEUROPATHIC PAIN; NONHUMAN; OCCIPITAL CORTEX; OLFACTORY NUCLEUS; POSITRON EMISSION TOMOGRAPHY; PREDICTIVE VALUE; PREOPTIC AREA; PRIORITY JOURNAL; PYRIFORM CORTEX; RAT; RETROSPLENIAL CORTEX; ROSTRAL VENTROMEDIAL MEDULLA; SECONDARY SOMATOSENSORY CORTEX; SENSITIVITY AND SPECIFICITY; SEPTUM PELLUCIDUM; SPINAL NERVE LIGATION INJURY; TEMPORAL CORTEX; VENTRAL MIDBRAIN; BRAIN METABOLISM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; MICRO POSITRON EMISSION TOMOGRAPHY; NERVE LIGATION; PET SCANNER; SPINAL NERVE; SUPPORT VECTOR MACHINE;

FDG MICRO-PET; MULTIVARIATE PATTERN ANALYSIS; PAIN; RESTING BRAIN METABOLISM;

ANIMALS; BRAIN; FLUORODEOXYGLUCOSE F18; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MULTIVARIATE ANALYSIS; NEURALGIA; PATTERN RECOGNITION, AUTOMATED; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; RATS; RATS, SPRAGUE-DAWLEY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84891555497     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.10.001     Document Type: Article

References (54)

1. Apkarian A.V., Baliki M.N., Geha P.Y. Towards a theory of chronic pain. Prog. Neurobiol. 2009, 87:81-97.
2. Apkarian A.V., Hashmi J.A., Baliki M.N. Pain and the brain: specificity and plasticity of the brain in clinical chronic pain. Pain 2011, 152:S49-64.
3. Baliki M.N., Geha P.Y., Apkarian A.V., Chialvo D.R. Beyond feeling: chronic pain hurts the brain, disrupting the default-mode network dynamics. J. Neurosci. 2008, 28:1398-1403.
4. Becerra L., Chang P.C., Bishop J., Borsook D. CNS activation maps in awake rats exposed to thermal stimuli to the dorsum of the hindpaw. Neuroimage 2011, 54:1355-1366.
5. Bendfeldt K., Kloppel S., Nichols T.E., Smieskova R., Kuster P., Traud S., Mueller-Lenke N., Naegelin Y., Kappos L., Radue E.W., Borgwardt S.J. Multivariate pattern classification of gray matter pathology in multiple sclerosis. Neuroimage 2012, 60:400-408.
6. Bishop C.M. Pattern Recognition and Machine Learning 2007, Springer, New York.
7. Borsook D., Becerra L., Hargreaves R. Biomarkers for chronic pain and analgesia. Part 1: the need, reality, challenges, and solutions. Discov. Med. 2011, 11:197-207.
8. Brodersen K.H., Wiech K., Lomakina E.I., Lin C.S., Buhmann J.M., Bingel U., Ploner M., Stephan K.E., Tracey I. Decoding the perception of pain from fMRI using multivariate pattern analysis. Neuroimage 2012, 63:1162-1170.
9. Brown J.E., Chatterjee N., Younger J., Mackey S. Towards a physiology-based measure of pain: patterns of human brain activity distinguish painful from non-painful thermal stimulation. PLoS One 2011, 6:e24124.
10. Cauda F., D'Agata F., Sacco K., Duca S., Cocito D., Paolasso I., Isoardo G., Geminiani G. Altered resting state attentional networks in diabetic neuropathic pain. J. Neurol. Neurosurg. Psychiatry 2010, 81:806-811.
11. Chaplan S.R., Bach F.W., Pogrel J.W., Chung J.M., Yaksh T.L. Quantitative assessment of tactile allodynia in the rat paw. J. Neurosci. Methods 1994, 53:55-63.
12. Coghill R.C., Sang C.N., Maisog J.M., Iadarola M.J. Pain intensity processing within the human brain: a bilateral, distributed mechanism. J. Neurophysiol. 1999, 82:1934-1943.
13. Cox D.D., Savoy R.L. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage 2003, 19:261-270.
14. Craig A.D. How do you feel - now? The anterior insula and human awareness. Nat. Rev. Neurosci. 2009, 10:59-70.
15. Dixon W.J. Efficient analysis of experimental observations. Annu. Rev. Pharmacol. Toxicol. 1980, 20:441-462.
16. Dolgin E. Animalgesic effects. Nat. Med. 2010, 16:1237-1240.
17. Dunckley P., Wise R.G., Fairhurst M., Hobden P., Aziz Q., Chang L., Tracey I. A comparison of visceral and somatic pain processing in the human brainstem using functional magnetic resonance imaging. J. Neurosci. 2005, 25:7333-7341.
18. Ecker C., Rocha-Rego V., Johnston P., Mourao-Miranda J., Marquand A., Daly E.M., Brammer M.J., Murphy C., Murphy D.G., Consortium M.A. Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach. Neuroimage 2010, 49:44-56.
19. Focke N.K., Yogarajah M., Symms M.R., Gruber O., Paulus W., Duncan J.S. Automated MR image classification in temporal lobe epilepsy. Neuroimage 2012, 59:356-362.
20. Fueger B.J., Czernin J., Hildebrandt I., Tran C., Halpern B.S., Stout D., Phelps M.E., Weber W.A. Impact of animal handling on the results of 18F-FDG PET studies in mice. J. Nucl. Med. 2006, 47:999-1006.
21. Gu X., Liu X., Van Dam N.T., Hof P.R., Fan J. Cognition-emotion integration in the anterior insular cortex. Cereb. Cortex 2013, 23:20-27.
22. Haxby J.V., Gobbini M.I., Furey M.L., Ishai A., Schouten J.L., Pietrini P. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 2001, 293:2425-2430.
23. Hayes D.J., Northoff G. Common brain activations for painful and non-painful aversive stimuli. BMC Neurosci. 2012, 13:60.
24. He Y., Evans A. Graph theoretical modeling of brain connectivity. Curr. Opin. Neurol. 2010, 23:341-350.
25. Hess A., Sergejeva M., Budinsky L., Zeilhofer H.U., Brune K. Imaging of hyperalgesia in rats by functional MRI. Eur. J. Pain 2007, 11:109-119.
26. Jaggi A.S., Singh N. Role of different brain areas in peripheral nerve injury-induced neuropathic pain. Brain Res. 2011, 1381:187-201.
27. Kim S.H., Chung J.M. An experimental model for peripheral neuropathy produced by segmental spinal nerve ligation in the rat. Pain 1992, 50:355-363.
28. Kloppel S., Stonnington C.M., Chu C., Draganski B., Scahill R.I., Rohrer J.D., Fox N.C., Jack C.R., Ashburner J., Frackowiak R.S. Automatic classification of MR scans in Alzheimer's disease. Brain 2008, 131:681-689.
29. Lee M.C., Tracey I. Unravelling the mystery of pain, suffering, and relief with brain imaging. Curr. Pain Headache Rep. 2010, 14:124-131.
30. Lee Y.S., Janata P., Frost C., Hanke M., Granger R. Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI. Neuroimage 2011, 57:293-300.
31. Loggia M.L., Kim J., Gollub R.L., Vangel M.G., Kirsch I., Kong J., Wasan A.D., Napadow V. Default mode network connectivity encodes clinical pain: an arterial spin labeling study. Pain 2013, 154:24-33.
32. Lu H., Zou Q., Gu H., Raichle M.E., Stein E.A., Yang Y. Rat brains also have a default mode network. Proc. Natl. Acad. Sci. U. S. A. 2012, 109:3979-3984.
33. Modinos G., Pettersson-Yeo W., Allen P., McGuire P.K., Aleman A., Mechelli A. Multivariate pattern classification reveals differential brain activation during emotional processing in individuals with psychosis proneness. Neuroimage 2012, 59:3033-3041.
34. Napadow V., LaCount L., Park K., As-Sanie S., Clauw D.J., Harris R.E. Intrinsic brain connectivity in fibromyalgia is associated with chronic pain intensity. Arthritis Rheum. 2010, 62:2545-2555.
35. Orru G., Pettersson-Yeo W., Marquand A.F., Sartori G., Mechelli A. Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review. Neurosci. Biobehav. Rev. 2012, 36:1140-1152.
36. Pereira F., Mitchell T., Botvinick M. Machine learning classifiers and fMRI: a tutorial overview. Neuroimage 2009, 45:S199-S209.
37. Ploner M., Lee M.C., Wiech K., Bingel U., Tracey I. Prestimulus functional connectivity determines pain perception in humans. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:355-360.
38. Sakoglu U., Upadhyay J., Chin C.L., Chandran P., Baker S.J., Cole T.B., Fox G.B., Day M., Luo F. Paradigm shift in translational neuroimaging of CNS disorders. Biochem. Pharmacol. 2011, 81:1374-1387.
39. Sapountzis P., Schluppeck D., Bowtell R., Peirce J.W. A comparison of fMRI adaptation and multivariate pattern classification analysis in visual cortex. Neuroimage 2010, 49:1632-1640.
40. Schweinhardt P., Fransson P., Olson L., Spenger C., Andersson J.L. A template for spatial normalisation of MR images of the rat brain. J. Neurosci. Methods 2003, 129:105-113.
41. Seifert F., Maihofner C. Central mechanisms of experimental and chronic neuropathic pain: findings from functional imaging studies. Cell. Mol. Life Sci. 2009, 66:375-390.
42. Seminowicz D.A., Laferriere A.L., Millecamps M., Yu J.S., Coderre T.J., Bushnell M.C. MRI structural brain changes associated with sensory and emotional function in a rat model of long-term neuropathic pain. Neuroimage 2009, 47:1007-1014.
43. Seminowicz D.A., Jiang L., Ji Y., Xu S., Gullapalli R.P., Masri R. Thalamocortical asynchrony in conditions of spinal cord injury pain in rats. J. Neurosci. 2012, 32:15843-15848.
44. Singer T., Seymour B., O'Doherty J., Kaube H., Dolan R.J., Frith C.D. Empathy for pain involves the affective but not sensory components of pain. Science 2004, 303:1157-1162.
45. Spiridon M., Kanwisher N. How distributed is visual category information in human occipito-temporal cortex? An fMRI study. Neuron 2002, 35:1157-1165.
46. Tracey I. Getting the pain you expect: mechanisms of placebo, nocebo and reappraisal effects in humans. Nat. Med. 2010, 16:1277-1283.
47. Upadhyay J., Baker S.J., Chandran P., Miller L., Lee Y., Marek G.J., Sakoglu U., Chin C.L., Luo F., Fox G.B., Day M. Default-mode-like network activation in awake rodents. PLoS One 2011, 6:e27839.
48. Upadhyay J., Baker S.J., Rajagovindan R., Hart M., Chandran P., Hooker B.A., Cassar S., Mikusa J.P., Tovcimak A., Wald M.J., Joshi S.K., Bannon A., Medema J.K., Beaver J., Honore P., Kamath R.V., Fox G.B., Day M. Pharmacological modulation of brain activity in a preclinical model of osteoarthritis. Neuroimage 2013, 64:341-355.
49. Valet M., Sprenger T., Boecker H., Willoch F., Rummeny E., Conrad B., Erhard P., Tolle T.R. Distraction modulates connectivity of the cingulo-frontal cortex and the midbrain during pain - an fMRI analysis. Pain 2004, 109:399-408.
50. Vandenberghe R., Nelissen N., Salmon E., Ivanoiu A., Hasselbalch S., Andersen A., Korner A., Minthon L., Brooks D.J., Van Laere K., Dupont P. Binary classification of (1)(8)F-flutemetamol PET using machine learning: comparison with visual reads and structural MRI. Neuroimage 2013, 64:517-525.
51. Vierck C.J., Hansson P.T., Yezierski R.P. Clinical and pre-clinical pain assessment: are we measuring the same thing?. Pain 2008, 135:7-10.
52. Walter M., Stadler J., Tempelmann C., Speck O., Northoff G. High resolution fMRI of subcortical regions during visual erotic stimulation at 7T. MAGMA 2008, 21:103-111.
53. Zambreanu L., Wise R.G., Brooks J.C., Iannetti G.D., Tracey I. A role for the brainstem in central sensitisation in humans. Evidence from functional magnetic resonance imaging. Pain 2005, 114:397-407.
54. Zhuo M. Cortical plasticity as a new endpoint measurement for chronic pain. Mol. Pain 2011, 7:54.