Late last year Dagmar Divjak, Hui Sun, and Petar Milin released a Journal of Neurolinguistics paper “Physiological responses and cognitive behaviours: Measures of heart rate variability index language knowledge” whose abstract says:
Building on the relation between language cognition and the nervous system, we examine whether Heart Rate Variability (HRV), a cardiovascular measure that indexes Autonomic Nervous System activity, can be used to assess implicit language knowledge. We test the potential of HRV to detect whether individuals possess grammatical knowledge and explore how sensitive the cardiovascular response is.
41 healthy, British English-speaking adults listened to 40 English speech samples, half of which contained grammatical errors. Thought Technology’s 5-channel ProComp 5 encoder tracked heart rate via a BVP-Flex/Pro sensor attached to the middle finger of the non-dominant hand, at a rate of 2048 samples per second. A Generalised Additive Mixed Effects Model confirmed a cardiovascular response to grammatical violations: there is a statistically significant reduction in HRV as indexed by NN50 in response to stimuli that contain errors. The cardiovascular response reflects the extent of the linguistic violations, and NN50 decreases linearly with an increase in the number of errors, up to a certain level, after which HRV remains constant.
Now see what Nick Morgan Ph.D. did with it in the pages of Psychology Today:
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