Individualized Prediction of Reading Comprehension Ability Using Gray Matter Volume
Abstract
Reading comprehension is a crucial reading skill for learning and putatively contains 2 key components: reading decoding and linguistic comprehension. Current understanding of the neural mechanism underlying these reading comprehension components is lacking, and whether and how neuroanatomical features can be used to predict these 2 skills remain largely unexplored. In the present study, we analyzed a large sample from the Human Connectome...
Paper Details
Title
Individualized Prediction of Reading Comprehension Ability Using Gray Matter Volume
Published Date
Mar 10, 2017
Journal
Volume
28
Issue
5
Pages
1656 - 1672
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