Learning the time of pain in the human motor system
Daniela Dalbagno, Sonia Betti, Sara Garofalo, Vanessa Mannari, Giuseppe di Pellegrino, Francesca Starita

TL;DR
The human motor system can predict when pain will occur, adjusting its activity in anticipation and recovery.
Contribution
This study demonstrates that the motor system learns to predict pain timing through sustained motor inhibition.
Findings
Corticospinal excitability decreases long before pain and recovers after it passes.
Stronger motor inhibition correlates with better subjective anticipation of pain timing.
Exaggerated motor inhibition may lead to maladaptive pain anticipation.
Abstract
Supplemental Digital Content is Available in the Text. Regardless of the actual occurrence of pain, corticospinal excitability decreases from long until immediately before the time of pain and recovers once it has passed. Although traditionally conceptualized as a sensory phenomenon, pain could also be framed as a motor issue. Yet, the role of the motor system in pain prediction remains poorly understood. Here, we test whether the human motor system can learn to predict the time of pain. In 2 experiments, distinct groups of participants learned that different visual cues predicted pain occurrence either shortly or long after cue onset. Single-pulse transcranial magnetic stimulation was administered over the primary motor cortex to probe corticospinal excitability at 3 critical timepoints during cues presentation, namely long before, immediately before, and long after the time of pain.…
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Taxonomy
TopicsPain Mechanisms and Treatments · Transcranial Magnetic Stimulation Studies · Psychosomatic Disorders and Their Treatments
