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-description: "Here you can find the data to the study: Brodhun C, Borelli E, Weiss T (2023). \nNeural correlates of word processing influenced by painful primes. PLOS ONE.\nAbstract: The administration of painful primes has been shown to influence the perception of \nsuccessively presented semantic stimuli. Painful primes lead to more negative valence \nratings of pain-related, negative, and positive words than no prime. This effect was \ngreater for pain-related than negative words. The identities of this effect’s neural \ncorrelates remain unknown. In this EEG experiment, 48 healthy subjects received \nnoxious electrical stimuli of moderate intensity. During this priming, they were \npresented with adjectives of variable valence (pain-related, negative, positive, and \nneutral). The triggered event-related potentials were analyzed during N1 (120–180 ms), \nP2 (170–260 ms), P3 (300–350 ms), N400 (370–550 ms), and two late positive complex components \n(LPC1 [650–750 ms] and LPC2 [750–1000 ms]). Larger eventrelated \npotentials were found for negative and pain-related words compared to positive \nwords in later components (N400, LPC1, and LPC2), mainly in the frontal regions. \nEarly components (N1, P2, and P3) were less affected by the word category but were \nby the prime condition (painful vs. no stimulation). Later components (LPC1, LPC2) \nwere not affected by the prime condition. An interaction effect involving prime and word \ncategory was found on the behavioral level but not the electrophysiological level. This \nfinding indicates that the interaction effect does not directly translate from the \nbehavioral to the electrophysiological level. Possible reasons for this discrepancy are discussed.\nThe data contain raw EEG data and EEG log files as well as trigger information for \nBrain Vision Analyzer (compatible with EEGLAB), and subjective parameters about pain \nand control conditions for 48 individuals. Meta information about data structure are included. \nDetailed information about methods and data analysis are presented in the above-mentioned paper."
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+description: "Here you can find the data to the study: Brodhun C, Borelli E, Weiss T (2023). \nNeural correlates of word processing influenced by painful primes. PLOS ONE.\nAbstract: The administration of painful primes has been shown to influence the perception of \nsuccessively presented semantic stimuli. Painful primes lead to more negative valence \nratings of pain-related, negative, and positive words than no prime. This effect was \ngreater for pain-related than negative words. The identities of this effect’s neural \ncorrelates remain unknown. In this EEG experiment, 48 healthy subjects received \nnoxious electrical stimuli of moderate intensity. During this priming, they were \npresented with adjectives of variable valence (pain-related, negative, positive, and \nneutral). The triggered event-related potentials were analyzed during N1 (120–180 ms), \nP2 (170–260 ms), P3 (300–350 ms), N400 (370–550 ms), and two late positive complex components \n(LPC1 [650–750 ms] and LPC2 [750–1000 ms]). Larger eventrelated \npotentials were found for negative and pain-related words compared to positive \nwords in later components (N400, LPC1, and LPC2), mainly in the frontal regions. \nEarly components (N1, P2, and P3) were less affected by the word category but were \nby the prime condition (painful vs. no stimulation). Later components (LPC1, LPC2) \nwere not affected by the prime condition. An interaction effect involving prime and word \ncategory was found on the behavioral level but not the electrophysiological level. This \nfinding indicates that the interaction effect does not directly translate from the \nbehavioral to the electrophysiological level. Possible reasons for this discrepancy are discussed.\nThe data contain raw EEG data and EEG log files as well as trigger information for \nBrain Vision Analyzer (compatible with EEGLAB), and subjective parameters about pain \nand control conditions for 48 individuals. Meta information about data structure are included. Detailed information about methods and data analysis are presented in the above-mentioned paper."
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