This is an accompanying website to the paper "Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses". It contains the fMRI data described in the paper. 8 subjects read chapter 9 of "Harry Potter and the Sorcerer's Stone" in the scanner, while the words were presented one by one for 0.5 seconds each.
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 offers 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.
Description of the format.
Description of the paradigm, data acquisition and preprocessing.
This is appendix A of the paper. The document is labeled to show which preprocessing steps were omitted in the data presented here.
We provide here the data without smoothing, detrending and masking, in case you would like to change these parameters.
This data is available for use, here is the citation:
Bibtex format.
Description of the paradigm, data acquisition and preprocessing.
We provide here the data without smoothing, detrending and masking. Further, the data is in the native subject space and is not normalized to MNI space.
This data is available for use, here is the citation:
Bibtex format.