2014/07/08 森田

Parametric trial-by-trial prediction of pain by easily available physiological measures
Geuter S, Gamer M, Onat S, Büchel C.
Pain. 2014 May;155(5):994-1001. doi: 10.1016/j.pain.2014.02.005. Epub 2014 Feb 10.

Pain is commonly assessed by subjective reports on rating scales. However, in many experimental and clinical settings, an additional, objective indicator of pain is desirable. In order to identify an objective, parametric signature of pain intensity that is predictive at the individual stimulus level across subjects, we recorded skin conductance and pupil diameter responses to heat pain stimuli of different durations and temperatures in 34 healthy subjects. The temporal profiles of trial-wise physiological responses were characterized by component scores obtained from principal component analysis. These component scores were then used as predictors in a linear regression analysis, resulting in accurate pain predictions for individual trials. Using the temporal information encoded in the principal component scores explained the data better than prediction by a single summary statistic (ie, maximum amplitude). These results indicate that perceived pain is best reflected by the temporal dynamics of autonomic responses. Application of the regression model to an independent data set of 20 subjects resulted in a very good prediction of the pain ratings demonstrating the generalizability of the identified temporal pattern. Utilizing the readily available temporal information from skin conductance and pupil diameter responses thus allows parametric prediction of pain in human subjects.

皮膚抵抗(SCR)と瞳孔径(pupil size)で(主観的な)痛みを予測。

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2013/11/22 春野

Stimulus-specific enhancement of fear extinction during slow-wave sleep
Hauner KK, Howard JD, Zelano C, Gottfried JA.
Nat Neurosci. 2013 Nov;16(11):1553-5. doi: 10.1038/nn.3527. Epub 2013 Sep 22.
Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

contextual fear conditioningで与えたcontextを睡眠中に与えるとcontext-specificにfear extinctionを増強するというNature Neuroscienceの論文についてお話します。


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