duerden rotman 2009 07 29
TRANSCRIPT
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Impacts of pain on brain health explored using
neuroimaging techniques: implications for patient
treatment
Emma Duerden, M.Sc. PhD candidate (Neurological Sciences)
Département de physiologieUniversité de Montréal
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Outline Introduction
background Pain processing regions
Meta-analysisApplications
ROI analysis Cortical thickness Meditation Pain catastrophizing
Pain and memory fMRI study: Short-term memory of pain
Applications to patient treatment Brain-plasticity Amputation - phantom-limb pain Training
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Introduction
Pain: Unpleasant sensory and emotional experience
Actual or potential tissue damage
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Introduction
Pain: Statistics Canada 2001
1.5 million persons aged 15 to 64 3 in 4 personsWomen = 8.3%Men = 6.7%70% = affects daily life
National Population Health Survey (NPHS)1/4 seniors at home4/10 seniors in institutions
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Introduction
Pain = psychological experience
No objective measuresSensory and affective components of pain
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Peripheral mechanisms of pain
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Central mechanisms of pain
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Introduction
Neural processing of painful stimuli
Broad network of interconnected cortical regions
Sensory-discriminative Emotional-motivational
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Introduction
Discriminative processing of pain Lateral pain system
SI secondary somatosensory cortex (SII) Thalamus (ventroposterior lateral and medial
nuclei)
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Introduction
Affective (unpleasantness) processing of pain Medial pain system
ACCPFC
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Brain imaging methods
Laboratory of Neuro Imaging (LONI) at UCLA (http://www.loni.ucla.edu/)
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http://www.fmrib.ox.ac.uk
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Brain activity during pain
Positron emission tomography
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Brain activity during pain
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Brain activity during pain
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Brain activity during pain
Thalamus
S1S2Insula
ACC
Rainville et al., Médecine Science 16 (2000)
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Why do a meta-analysis?
Contiguous activation Particular task Cognitive function Particular function across different tasks
e.g. working memory Problems with single fMRI/PET studies:
Study confounds:Artifacts, head motion, few subjects, inter-individual
variability, low SNRType I errors (5% false positives)Greater rates of Type II errorContamination from irrelevant task features
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Probabilistic mapping
Activation Likelihood Estimate (ALE)BrainMap GingerALE
Convert coordinates = MNI and Talairach Meta-Analysis Group of coordinatesComparison ALE meta-analysis 2 groups
Method assessing statistical significanceTest peaks distributed at multiple sites Against H0 of random distribution
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ALE method
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Methods
Meta-analysis:ALE analytic method (Turkeltaub et al., 2002)Talairach spaceDate blurred (8mm)Distribution determined through permutation test
(N=5000)Thresholded (p = 0.003)
controlling the FDR q = 0.05ALE maps displayed on anatomical MRIPeak p values ABOVE threshold displayed
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Pain Meta-Analysis
Contrasts:Pain - baselinePain - control (warm, cool)High pain - low painCorrelation PI/PUExternally administered stimuliBetween groups (high vs low sensitivity;
PET studies)
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Pain Meta-AnalysisSummary
122 total original studiesfMRI: 79PET: 43
130 total2699 points!
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Thresholded 3D probability map
Duerden, Fu, Rainville, Duncan. IASP 2008
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Results: All pain
BILATERAL IC
BILATERAL thalamus
BILATERAL SII
R: 52, -26, 22 p = 0.18L: -52, -24, 22 p = 0.17
0.25
0.003
THAL (R): 10, -18, 6 p = 0.22THAL (L): -14, -16, 8 p = 0.25
IC (R): 34, 12, 8 p = 0.23IC (L): -36, 4, 6 p = 0.21
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Other ApplicationsALE Method
Comparison different types of painCold pain vs heat painLeft vs rightfMRI vs PETROI analysis:
Cortical thickness
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Pain sensitivity and cortical thickness in Zen meditators
Grant, Duerden, Courtemanche, Duncan, Rainville. Emotion 2009 submitted
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Pain and meditation
Hypnosis, attention, expectancy or placebo
Modulate experience of pain Mindfulness meditation
Effective in treating chronic pain Emotional and functional No long-term effects on pain sensation
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Pain and meditation
What the effects of meditation on pain perception?
Would differences be linked to morphological changes in the brain?
29Grant & Rainville. Psychosomatic Medicine 71:106–114 (2009)
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Pain mask
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Pain mask
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Pain Meta-AnalysisZen meditators have thicker cortex in pain
processing regions
Grant, Duerden, Courtemanche, Duncan, and Rainville, Emotion 2009 submitted
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Pain and meditation
Meditators required hotter temperatures Less pain while attending mindfullyCorrelation with increased thickness in pain
regionsGreater ability to modulate pain
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Other ApplicationsALE Method
Comparison different types of painCold pain vs heat painLeft vs rightfMRI vs PETROI analysis:
Cortical thickness
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Brain morphometric changes associated
with pain catastrophizingD. Laverdure-Dupont; E.G. Duerden; A.-A. Dubé; K.J. Worsley; G.H. Duncan; G. Lavigne; P. Rainville
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Pain catastrophizing
Personality traitCoping strategy
Pain Awful, horrible and unbearableAugments pain perception
enhanced attention to painful stimuli
heightened emotional responses to pain
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Pain catastrophizing
Personality traits are associated with cortical morphometric changes
PCACC PFC in chronic pain patients
CT analysis Identify potential persistent neural substrates underlying PC
20 young, healthy, subjects (RH; Age=23.2yrs; M=11).
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Pain catastrophizing
PCS is significantly correlated with CT in ACC
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Pain catastrophizing
PC is linked to morphometric differences
Limbic-paralimbic systemPronounced recruitment of affective processes in high catastrophizers
Enhanced development Emotional processing brain regions
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Outline Pain processing regions
Meta-analysisApplications
ROI analysis Cortical thickness Pain catastrophizing
Pain and memory fMRI study: Short-term memory of pain
Applications to patient treatment Brain-plasticity Amputation - phantom-limb pain Training
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Memory traces of pain in human cortex
Albanese, Duerden, Rainville, Duncan. J Neurosci, 2007
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IntroductionEvidence - sensory information is transiently stored
Sensory-specific cortical areas Involved in initial encoding SI - transient storage site for tactile informationNoxious sensory information?
Neural basis of encoding and retention Heat pain stimuli Right palm in 8 healthy volunteers
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Methods: Stimulation protocol
encoding
retention
retrieval
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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
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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
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Conclusions
Sustained pain-related activitySI associated with ISI in the MEMORY trials
Suggests a short-term retention of a 'pain trace’Sensory-specific cortex
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Long-term memory
Brain plasticityTraining-related changesLearning Chronic pain
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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
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Habituation to painful stimuli
AVERAGE PAIN INTENSITY RATINGS FOR HABITUATORS ACROSS SESSIONS
0
10
20
30
40
50
60
70
80
90
100
VAS scale
Pain Intensity 66.17 64.94 53.00 48.61 74.44
session 1 session 2 session 3 session 4 session 5
AVERAGE PAIN UNPLEASANTNESS RATINGS FOR HABITUATORS ACROSS SESSIONS
0
10
20
30
40
50
60
70
80
90
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VAS SCALE
PAINUNPLEASANTNESS
63.56 59.44 50.28 25.56 71.33
session 1
session 2
session 3
session 4
session 5
ratings tested for habituation sessions 1-4
ratings tested for habituation sessions 1-4
** *
*
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Pain Stimulus Session 1-4: H
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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
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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
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DaSilva et al., Neurology. 2007 Nov 20;69(21):1990-5
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Chronic pain
Pain managementSensitive tests for measuring pain
Brain imaging?Pain treatment
MindfulnessHypnosisTraining
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Training: phantom limb pain Correlation - cortical remapping and pain in the phantom-limb Maladaptive mapping
Reversed Sensory training paradigms
Post-training = pain and cortical reorganization
(Flor et al. 2001)
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Acknowledgements Mentors:
Dr. Gary Duncan
Dr. Pierre Rainville
FundingCanadian Institutes of Health Research (CIHR)
Lab mates:Dr. Marie-Claire AlbaneseJen-I ChenMathieu RoyJoshua GrantAudrey-Anne DubéMarianne ArsenaultMathieu Piché
Collaborators:Dr. Bruce PikeDr. Stefan PosseDr. Keith Worsley
Tech Support:Mathieu DesrosiersLeo Tenbokum
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Thank you
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Introduction
These ‘maps’ are found in primary and secondary sensory areas and in thalamic nuclei
Many sensory systems are characterized by cortical representations of surface receptors, whereby the occurrence of neighbouring inputs is preserved in the cortex
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Topographic mapsThere is a similar somatotopic map in the primary somatosensory cortex (S1) that is the main sensory receptive area for the sense of touch
Primary somatosensory cortex
Areas of skin that are highly innervated and that have fine sensory discriminative properties have a larger cortical representation
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Phantom limbs
Studies have shown that cortical representations surrounding those that are inactive due to the loss of the limb will encroach on that region
Pain in the amputated body part occurs in 50–80% of all amputees
Cortical remapping as a result of an amputation often results in painful sensations in the amputated limb so called “phantom limb” pain
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Why do a meta-analysis?
Contiguous activation Particular task Cognitive function Particular function across different tasks
e.g. working memory Problems with single fMRI/PET studies:
Study confounds: Artifacts, head motion, few subjects, inter-individual variability, low
SNR Type I errors (5% false positives) Greater rates of Type II error Contamination from irrelevant task features Assumptions made based on Task A - B Each task isolates process?
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Introduction
What causes chronic pain?Plasticity = sites throughout pain pathway
Changes in peripheral receptorsreceptor
channel expression Distributionactivation threshold
Strengthening synapsesLTP = DHN