Publication | Open Access
White matter tracts critical for recognition of sarcasm
23
Citations
47
References
2015
Year
NeuropsychologyNeurolinguisticsSemantic ProcessingPsycholinguisticsCognitionCorpus LinguisticsSocial SciencesPsychologyNatural Language ProcessingComputational LinguisticsWhite Matter TractsAffective ComputingLanguage StudiesCognitive SciencePercent DamagePercent AccuracyExperimental PsychologySocial CognitionParalinguisticsHumor DetectionEmotionLinguistics
Failure to recognize sarcasm can lead to important miscommunications. Few previous studies have identified brain lesions associated with impaired recognition of sarcasm. We tested the hypothesis that percent damage to specific white matter tracts, age, and education together predict accuracy in sarcasm recognition. Using multivariable linear regression, with age, education, and percent damage to each of eight white matter tracts as independent variables, and percent accuracy on sarcasm recognition as the dependent variable, we developed a model for predicting sarcasm recognition. Percent damage to the sagittal stratum had the greatest weight and was the only independent predictor of sarcasm recognition.
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