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Avoidance is reinforced through operant learning: after learning that a certain movement elicits pain, movements that prevent pain are more likely to be performed. Proprioceptive accuracy importantly contributes to motor learning and memory. Interestingly, reduced accuracy has been documented in various chronic pain conditions, prompting the question whether this relates to avoidance becoming excessive. Using robotic arm-reaching movements, we tested the hypothesis that poor proprioceptive accuracy is associated with excessive painrelated avoidance in pain-free participants. Participants first performed a task to assess proprioceptive accuracy, followed by an operant avoidance training during which a pain stimulus was presented when they performed one movement trajectory, but not when they performed another trajectory. During a test phase, movements were no longer restricted to 2 trajectories, but participants were instructed to avoid pain. Unbeknownst to the participants, the pain stimulus was never presented during this phase. Results supported our hypothesis. Furthermore, exploratory analyses indicated a reduction in proprioceptive accuracy after avoidance learning, which was associated with excessive avoidance and higher trait fear of pain."}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Social Sciences"]},{"typeName":"keyword","multiple":true,"typeClass":"compound","value":[{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"proprioception"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"avoidance behavior"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"chronic pain"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"operant conditioning"}},{"keywordValue":{"typeName":"keywordValue","multiple":false,"typeClass":"primitive","value":"robotic arm"}}]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1016/j.jpain.2022.03.233"},"publicationIDType":{"typeName":"publicationIDType","multiple":false,"typeClass":"controlledVocabulary","value":"doi"},"publicationIDNumber":{"typeName":"publicationIDNumber","multiple":false,"typeClass":"primitive","value":"10.1016/j.jpain.2022.03.233"},"publicationURL":{"typeName":"publicationURL","multiple":false,"typeClass":"primitive","value":"https://doi.org/10.1016/j.jpain.2022.03.233"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"Faculty of Psychology and Neuroscience - Maastricht University"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2022-09-21"},{"typeName":"kindOfData","multiple":true,"typeClass":"primitive","value":["Behavioral data","Questionnaire data"]}]},"dansDataVaultMetadata":{"displayName":"Data Vault Metadata","name":"dansDataVaultMetadata","fields":[{"typeName":"dansDataversePid","multiple":false,"typeClass":"primitive","value":"doi:10.34894/JF3Y5T"},{"typeName":"dansDataversePidVersion","multiple":false,"typeClass":"primitive","value":"1.0"},{"typeName":"dansBagId","multiple":false,"typeClass":"primitive","value":"urn:uuid:6964b1e5-e875-40c9-b060-f86686b9cdc3"},{"typeName":"dansNbn","multiple":false,"typeClass":"primitive","value":"urn:nbn:nl:ui:13-9e646da7-83f1-4bd7-b83d-f3a82962a9bb"}]}},"files":[{"label":"Counterbalancing + tech remarks.xlsx","restricted":true,"version":1,"datasetVersionId":24296,"dataFile":{"id":310331,"persistentId":"","filename":"Counterbalancing + tech remarks.xlsx","contentType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","friendlyType":"MS Excel Spreadsheet","filesize":10265,"storageIdentifier":"surf://store:18379a56a1b-450065b52ec7","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"0faab4655ad30e1cece9642a4b64bd0d9cc973ab"},"tabularData":false,"creationDate":"2022-09-26","publicationDate":"2022-10-03","lastUpdateTime":"2022-10-03T11:25:31Z","fileAccessRequest":true}},{"label":"Participant descriptives.xlsx","restricted":true,"version":1,"datasetVersionId":24296,"dataFile":{"id":310330,"persistentId":"","filename":"Participant descriptives.xlsx","contentType":"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet","friendlyType":"MS Excel Spreadsheet","filesize":14370,"storageIdentifier":"surf://store:18379a56a51-8f64e5e50d0f","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"fe51cf0a540cd8898327ec8ab2a6a410161e2cdf"},"tabularData":false,"creationDate":"2022-09-26","publicationDate":"2022-10-03","lastUpdateTime":"2022-10-03T11:25:31Z","fileAccessRequest":true}},{"label":"Raw_data_Avoidance_DMR_Questionnaires.zip","restricted":true,"version":1,"datasetVersionId":24296,"dataFile":{"id":310329,"persistentId":"","filename":"Raw_data_Avoidance_DMR_Questionnaires.zip","contentType":"application/zip","friendlyType":"ZIP Archive","filesize":27996442,"storageIdentifier":"surf://store:18379a4e60c-532ccb492042","rootDataFileId":-1,"checksum":{"type":"SHA-1","value":"b17103f728fb49661dbdce17a0f36156de70f66e"},"tabularData":false,"creationDate":"2022-09-26","publicationDate":"2022-10-03","lastUpdateTime":"2022-10-03T11:25:31Z","fileAccessRequest":true}}]}}}