Raw subject- and trial-level data for Hussey et al., 2015
Hussey, Erika K.; Ward, Nathan; Christianson, Kiel; Kramer, Arthur K.
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https://hdl.handle.net/2142/77811
Description
Title
Raw subject- and trial-level data for Hussey et al., 2015
Author(s)
Hussey, Erika K.
Ward, Nathan
Christianson, Kiel
Kramer, Arthur K.
Issue Date
2015-05-28
Keyword(s)
nback task
selfpaced reading
transcranial stimulation
Abstract
Recent research demonstrates that performance on executive-control measures can be enhanced through brain stimulation of lateral prefrontal regions. Separate psycholinguistic work emphasizes the importance of left lateral prefrontal cortex executive-control resources during sentence processing, especially when readers must override early, incorrect interpretations when faced with temporary ambiguity. Using transcranial direct current stimulation, we tested whether stimulation of left lateral prefrontal cortex had discriminate effects on language and memory conditions that rely on executive-control (versus cases with minimal executive-control demands, even in the face of task difficulty). Participants were randomly assigned to receive Active (anodal) or Control (sham or cathodal) stimulation of left lateral prefrontal cortex while they (1) processed ambiguous and unambiguous sentences in a word-by-word self-paced reading task and (2) performed an n-back memory task that, on some trials, contained interference lure items reputed to require executive-control. Across both tasks, we parametrically manipulated executive-control demands and task difficulty. Our results revealed that the Active group outperformed both Controls on (1) the sentence processing conditions requiring executive-control, and (2) only the most complex n-back conditions, regardless of executive-control demands. Together, these findings add to the mounting evidence for the selective causal role of left lateral prefrontal cortex for executive-control tasks in the language domain. Moreover, we provide the first evidence suggesting that brain stimulation is a promising method to mitigate processing demands encountered during online sentence processing.
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