Effective connectivity predicts future placebo analgesic response: A dynamic causal modeling study of pain processing in healthy controls.
Effective connectivity predicts future placebo analgesic response: A dynamic causal modeling study of pain processing in healthy controls.
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DOI：
10.1016/j.neuroimage.2015.01.056
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发表时间：
2015-04-15
期刊：
影响因子：
5.7
通讯作者：
Robinson ME
中科院分区：
文献类型：
--
作者：
Sevel LS;O'Shea AM;Letzen JE;Craggs JG;Price DD;Robinson ME
更好地了解疼痛处理和镇痛的神经机制可能有助于慢性疼痛有效治疗的发展和个性化。澄清的神经预测个体差异安慰剂镇痛（PA）可以帮助在这个过程中。本研究探讨了疼痛相关脑区之间的有效连接（EC）的强度是否可以预测健康个体未来的安慰剂镇痛反应。在第1次访视中，从24名健康受试者（13名女性，平均年龄=22.56，SD=2.94）中收集fMRI数据，同时经历疼痛的热刺激。在访视2期间，通过在受试者足部四个部位中的两个部位秘密降低温度，使受试者适应预期疼痛减轻。随后使用访视1（疼痛）温度再次扫描。受试者使用电子VAS对每次刺激后的疼痛进行评级。使用条件和非条件部位的评分差异来测量安慰剂反应（PA评分）。使用动态因果建模来估计访视1时与疼痛处理相关的一组脑区（导水管周围灰质、丘脑、头端前扣带皮层、背外侧前额叶皮层）中的EC。根据访视1的显著EC参数估计值对访视2的个体PA评分进行回归。结果表明，左半球调节DLPFC→PAG连接性增强和右半球内源性丘脑→DLPFC连接性增强均可显着预测未来的安慰剂反应（R2 = 0.82）。据我们所知，这是第一个研究，以确定EC的价值，在了解PA的个体差异，并可能表明内源性疼痛调制的潜在修改。
A better understanding of the neural mechanisms underlying pain processing and analgesia may aid in the development and personalization of effective treatments for chronic pain. Clarification of the neural predictors of individual variability in placebo analgesia (PA) could aid in this process. The present study examined whether the strength of effective connectivity (EC) among pain-related brain regions could predict future placebo analgesic response in healthy individuals. In Visit 1, fMRI data were collected from 24 healthy subjects (13 female, mean age=22.56, SD=2.94) while experiencing painful thermal stimuli. During Visit 2, subjects were conditioned to expect less pain via a surreptitiously lowered temperature applied at two of the four sites on their feet. They were subsequently scanned again using the Visit 1 (painful) temperature. Subjects used an electronic VAS to rate their pain following each stimulus. Differences in ratings at conditioned and unconditioned sites were used to measure placebo response (PA scores). Dynamic causal modeling was used to estimate the EC among a set of brain regions related to pain processing at Visit 1 (periaqueductal gray, thalamus, rostral anterior cingulate cortex, dorsolateral prefrontal cortex). Individual PA scores from Visit 2 were regressed on salient EC parameters estimates from Visit 1. Results indicate that both greater left hemisphere modulatory DLPFC→PAG connectivity and right hemisphere, endogenous thalamus→DLPFC connectivity were significantly predictive of future placebo response (R2 = 0.82). To our knowledge, this is the first study to identify the value of EC in understanding individual differences in PA, and may suggest the potential modifiability of endogenous pain modulation.
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影响因子：
5.7
作者：
Craggs, Jason G.;Price, Donald D.;Robinson, Michael M.
通讯作者：
Robinson, Michael M.
影响因子：
7.4
作者：
Bingel, U;Lorenz, J;Büchel, C
通讯作者：
Büchel, C
DOI：
10.1523/jneurosci.3420-10.2011
发表时间：
2011-01-12
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Wager TD;Atlas LY;Leotti LA;Rilling JK
通讯作者：
Rilling JK
影响因子：
4.3
作者：
Penny WD;Stephan KE;Daunizeau J;Rosa MJ;Friston KJ;Schofield TM;Leff AP
通讯作者：
Leff AP
影响因子：
5.3
作者：
Schweinhardt, Petra;Seminowicz, David A.;Bushnell, M. Catherine
通讯作者：
Bushnell, M. Catherine