Publication date: February 2019Source: Journal of Neurolinguistics, Volume 49Author(s): K.A. Murphy, J. Jogia, J.B. TalcottAbstractThe neural networks that support normal single word reading have been studied extensively with functional magnetic resonance imaging (fMRI) and been heavily meta analysed; yet two caveats persist. Firstly, inclusion criteria are generally broad, allowing for a range of studies with inconsistent methodological practices to become a major source of variance in the data. Secondly, the sophistication of meta analytic techniques are ever improving, calling for a continuation of quantitative summaries for more informed interpretations of the literature. We conducted a novel meta-analysis using the updated activation likelihood estimation (ALE) approach on fMRI data f...
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Σάββατο 15 Σεπτεμβρίου 2018
On the neural basis of word reading: A meta-analysis of fMRI evidence using activation likelihood estimation
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