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PLoS One. 2014 Nov 26;9(11):e112575. doi: 10.1371/journal.pone.0112575. eCollection 2014.

Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses.

Author information

1
Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States; Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.
2
School of Electronics, Electrical Engineering and Computer Science, Queen's University, Belfast, United Kingdom.
3
Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, Karnataka, India.
4
Machine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States.

Abstract

Story understanding involves many perceptual and cognitive subprocesses, from perceiving individual words, to parsing sentences, to understanding the relationships among the story characters. We present an integrated computational model of reading that incorporates these and additional subprocesses, simultaneously discovering their fMRI signatures. Our model predicts the fMRI activity associated with reading arbitrary text passages, well enough to distinguish which of two story segments is being read with 74% accuracy. This approach is the first to simultaneously track diverse reading subprocesses during complex story processing and predict the detailed neural representation of diverse story features, ranging from visual word properties to the mention of different story characters and different actions they perform. We construct brain representation maps that replicate many results from a wide range of classical studies that focus each on one aspect of language processing and offer new insights on which type of information is processed by different areas involved in language processing. Additionally, this approach is promising for studying individual differences: it can be used to create single subject maps that may potentially be used to measure reading comprehension and diagnose reading disorders.

PMID:
25426840
PMCID:
PMC4245107
DOI:
10.1371/journal.pone.0112575
[Indexed for MEDLINE]
Free PMC Article

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