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Duerden Rotman 2009 07 29
- 1. Impacts of pain on brain health explored using neuroimaging techniques: implications for patient treatment Emma Duerden, M.Sc. PhD candidate (Neurological Sciences) Département de physiologie Université de Montréal
- 6. Peripheral mechanisms of pain
- 7. Central mechanisms of pain
- 11. Brain imaging methods Laboratory of Neuro Imaging (LONI) at UCLA (http://www.loni.ucla.edu/)
- 14. Brain activity during pain
- 15. Brain activity during pain
- 16. Brain activity during pain Rainville et al. , M édecine Science 16 (2000) Thalamus S1 S2 Insula ACC
- 19. ALE method
- 23. Thresholded 3D probability map Duerden, Fu, Rainville, Duncan. IASP 2008
- 26. Pain sensitivity and cortical thickness in Zen meditators Grant, Duerden, Courtemanche, Duncan, Rainville. Emotion 2009 submitted
- 30. Pain mask
- 31. Pain mask
- 32. Pain Meta-Analysis Zen meditators have thicker cortex in pain processing regions Grant, Duerden, Courtemanche, Duncan, and Rainville, Emotion 2009 submitted
- 35. Brain morphometric changes associated with pain catastrophizing D. Laverdure-Dupont; E.G. Duerden; A.-A. Dubé; K.J. Worsley; G.H. Duncan; G. Lavigne; P. Rainville
- 38. Pain catastrophizing PCS is significantly correlated with CT in ACC
- 41. Memory traces of pain in human cortex Albanese, Duerden, Rainville, Duncan. J Neurosci, 2007
- 43. Methods: Stimulation protocol encoding retention retrieval
- 44. Copyright ©2007 Society for Neuroscience Albanese, M.-C. et al. J. Neurosci. 2007;27:4612-4620 Figure 2. Cortical regions significantly activated during the ISI between the pairs of stimuli in both the memory and control trials and memory-specific activation observed within pain-related sites
- 45. Copyright ©2007 Society for Neuroscience Albanese, M.-C. et al. J. Neurosci. 2007;27:4612-4620 Figure 3. Mean time course of the memory-specific percentage BOLD signal from the group average observed during the course of experimental and control trials, synchronized on the start of each trial
- 48. Copyright ©2008 Society for Neuroscience Duerden, E. G. et al. J. Neurosci. 2008;28:8655-8657 Figure 1. Meta-analysis of voxel-based morphometric studies reporting increased gray matter density after learning in the cortex and cerebellum
- 50. Pain Stimulus Session 1-4: H
- 51. Copyright ©2004 Society for Neuroscience Apkarian, A. V. et al. J. Neurosci. 2004;24:10410-10415 Figure 2. Regional gray matter density decreases in CBP subjects
- 52. Copyright ©2007 Society for Neuroscience Kuchinad, A. et al. J. Neurosci. 2007;27:4004-4007 Figure 2. Voxel-wise comparison of gray matter density between fibromyalgia patients and healthy control subjects
- 53. DaSilva et al., Neurology. 2007 Nov 20;69(21):1990-5
- 56. Acknowledgements Mentors: Dr. Gary Duncan Dr. Pierre Rainville Funding Canadian Institutes of Health Research (CIHR) Lab mates: Dr. Marie-Claire Albanese Jen-I Chen Mathieu Roy Joshua Grant Audrey-Anne Dub é Marianne Arsenault Mathieu Piché Collaborators: Dr. Bruce Pike Dr. Stefan Posse Dr. Keith Worsley Tech Support: Mathieu Desrosiers Leo Tenbokum
- 57. Thank you
Notas del editor
- Brain Health group Janet Muchison
- The variable Xi is defined as the likelihood of a pain-evoked activation coordinate will occur in any voxel in the anatomical MRI. The value of d is calculated as the Euclidean (3D) distance between the centre of mass of the voxel and that of the coordinate. The value for σ is the standard deviation of the Gaussian blurring kernel. In the present study the standard deviation is 3.4mm with a FWHM blurring kernel of 8mm. This value was determined based on the average blurring kernel used by all of the studies included in the meta-analysis. Resulting values at each voxel are then multiplied by 8mm 3 (ΔV) to determine the extent of spatial localization probability of a pain-evoked activation occurring in the 3D template MRI that is sampled into 2 x 2 x 2mm voxels. For each coordinate in the meta-analysis the probabilistic value of pain-evoked activation is calculated and this value is also calculated for the coordinates as a whole.
- We then performed a quantitative voxel-level meta-analysis on the coordinates and generated an ALE map. The method applies a spatial localization technique whereby each reported coordinate is initially given equal weighting not taking into account effect size. Probabilistic values are calculated for each coordinate whereby each point is assigned a likelihood of obtaining pain-evoked activation in every voxel in the template MRI. Values are assigned using the following formula from Laird et al., : The variable Xi is defined as the likelihood of a pain-evoked activation coordinate will occur in any voxel in the anatomical MRI. The value of d is calculated as the Euclidean (3D) distance between the centre of mass of the voxel and that of the coordinate. The value for σ is the standard deviation of the Gaussian blurring kernel. In the present study the standard deviation is 3.4mm with a FWHM blurring kernel of 8mm. This value was determined based on the average blurring kernel used by all of the studies included in the meta-analysis. Resulting values at each voxel are then multiplied by 8mm 3 (ΔV) to determine the extent of spatial localization probability of a pain-evoked activation occurring in the 3D template MRI that is sampled into 2 x 2 x 2mm voxels. For each coordinate in the meta-analysis the probabilistic value of pain-evoked activation is calculated and this value is also calculated for the coordinates as a whole. In order to determine the distribution of the resulting ALE values, the resulting maps were compared to those randomly generated by way of a non-parametric permutation test (N=5000) . Essentially, 5000 groups of the same number of coordinates as that used in the meta-analysis of randomly generated coordinates were created and tested according to the same methods. The resulting distribution is then used as the null hypothesis to which the ALE values computed for the pain-evoked activation is compared to. The permutation test essentially determines as to whether the pain-evoked activation could be generated by random coordinates alone or represents coherent activation pattern across studies.
- MNI outside 112 Tal 43
- Pronounced recruitment of affective processes in high catastrophizers appears to be associated with an enhanced development of areas associated with emotional processing
- I am interested to study long term effects of repeated exposure to painful stimuli and its relation to brain plasticity Not only training related changes in the brain and the effects of learning - next slide is a meta analysis on training related changes But also some models of chronic pain have been linked to rely on similar mechanisms involved in memory formation - such as LTP Also interested in brain plasticity in relation to loss of input as in the case of amputation Using online training to modify maladaptive brain plasticity
- Results demonstrate that although structural changes occur in functional areas related to the task, increases also occur in associative areas such as the posterior parietal and temporal cortices. Furthermore, studies examining explicit learning showed an overlap of increased gray matter density in the hippocampal gyrus.
- orderly connections between peripheral nerve afferents and the CNS