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Pain reflects the informational value of nociceptive inputs.
Coll, Michel-Pierre; Walden, Zoey; Bourgoin, Pierre-Alexandre; Taylor, Veronique; Rainville, Pierre; Robert, Manon; Nguyen, Dang Khoa; Jolicoeur, Pierre; Roy, Mathieu.
Afiliação
  • Coll MP; École de Psychologie, Université Laval, Québec, QC, Canada.
  • Walden Z; Centre interdisciplinaire de recherche en réadaptation et intégration sociale (CIRRIS), Québec, QC, Canada.
  • Bourgoin PA; Department of Psychology, McGill University, 2001 McGill College, Montréal, QC, Canada.
  • Taylor V; Department of Psychology, Université du Québec à Montréal, Montreal, QC, Canada.
  • Rainville P; Department of Epidemiology, Brown University, Providence, RI, United States.
  • Robert M; Research Center of the Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, QC, Canada.
  • Nguyen DK; Department of Stomatology, Université de Montréal, Montréal, QC, Canada.
  • Jolicoeur P; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Université de Montréal, Montréal, QC, Canada.
  • Roy M; Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Université de Montréal, Montréal, QC, Canada.
Pain ; 165(10): e115-e125, 2024 Oct 01.
Article em En | MEDLINE | ID: mdl-38713801
ABSTRACT
ABSTRACT Pain perception and its modulation are fundamental to human learning and adaptive behavior. This study investigated the hypothesis that pain perception is tied to pain's learning function. Thirty-one participants performed a threat conditioning task where certain cues were associated with a possibility of receiving a painful electric shock. The cues that signaled potential pain or safety were regularly changed, requiring participants to continually establish new associations. Using computational models, we quantified participants' pain expectations and prediction errors throughout the task and assessed their relationship with pain perception and electrophysiological responses. Our findings suggest that subjective pain perception increases with prediction error, that is, when pain was unexpected. Prediction errors were also related to physiological nociceptive responses, including the amplitude of nociceptive flexion reflex and electroencephalography markers of cortical nociceptive processing (N1-P2-evoked potential and gamma-band power). In addition, higher pain expectations were related to increased late event-related potential responses and alpha/beta decreases in amplitude during cue presentation. These results further strengthen the idea of a crucial link between pain and learning and suggest that understanding the influence of learning mechanisms in pain modulation could help us understand when and why pain perception is modulated in health and disease.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor / Eletroencefalografia / Percepção da Dor / Nociceptividade Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Dor / Eletroencefalografia / Percepção da Dor / Nociceptividade Idioma: En Ano de publicação: 2024 Tipo de documento: Article