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The information related to the different environmental impacts produced by the execution of activities and projects is often limited, described by semantic variables and, affected by a high degree of inaccuracy and uncertainty, thereby making fuzzy logic a suitable tool with which to express and treat this information.
When semantic variables are manipulated, the main finding is the so-called N400 effect [10], a negative-going ERP component, which is usually most pronounced between roughly 250 and 550 ms after word onset, with a maximum over central and posterior electrode sites [11].
Double dissociation for semantic variables.
Overlap of effects for semantic variables and Frequency.
We therefore performed the following tests: Double dissociation for semantic variables.
We tested for a double dissociation between different brain loci and semantic variables (Imageability, Action-relatedness).
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These values were entered into a 2-by-2 anova with the factors Location (fusiform vs middle temporal gyrus) and Semantic Variable.
They were selected on the basis of the ratings participants gave each word on the semantic variable concreteness/abstractness, whereby the 20 more concrete emotion words with sensorimotor links were partitioned from the 20 more abstract words.
For this purpose, we performed a 2-by-2 anova with the factors Location (mean value for two peak voxels in left middle/superior temporal gyrus, as well as fusiform gyrus, from the first analysis) and Semantic Variable (Action-relatedness and Imageability).
Lexico-semantic variables have been found to influence brain responses as early as 160 ms after visual word onset [59], [60] as has semantic coherence, a ".measure that quantifies the degree to which words sharing a root morpheme, (e.g., gold, golden, goldsmith) are related to each other in meaning" [61].
Construction, restriction, and semantic differentiation variables were analyzed for potential effects on the rate of accurate comprehension.
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