Sequential Inference VBM dataset.

These data comprise behaviour from 79 subjects on a probabilistic reversal task together with T1-weighted structural images. (The task is described in more detail in: FitzGerald et al. Sequential inference as a mode of cognition and its correlates in fronto-parietal and hippocampal brain regions. PLoS Computational Biology (2017)) 

The principal findings of the original study were that the majority of subjects employed a strategy of inferring about the joint probability of sequences of states stretching into the past, and that betwene-subject differences in strategy correlated with gery-matter density changes in various parts of the brain.

Data were collected from 43 younger adults and 36 older adults. Additionally, most of the subjects performed the Raven's matrices task, and an n-back working memory task, and results from these are also included, together with height, weight, age and sex.



### Comments added by Openfmri Curators ###
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General Comments
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Defacing
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Pydeface was used on all anatomical images to ensure deindentification of subjects. The code
can be found at https://github.com/poldracklab/pydeface

Quality Control
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Mriqc was run on the dataset. Results are located in derivatives/mriqc. Learn more about it here: https://mriqc.readthedocs.io/en/latest/

Where to discuss the dataset
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1) www.openfmri.org/dataset/ds000222/ See the comments section at the bottom of the dataset
page.
2) www.neurostars.org Please tag any discussion topics with the tags openfmri and ds000222 accession number.
3) Send an email to submissions@openfmri.org. Please include the ds000222 accession number in
your email.

Known Issues
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N/A

Bids-validator Output
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This dataset appears to be BIDS compatible.
        Summary:                 Available Tasks:        Available Modalities:
        233 Files, 1.86GB                                T1w
        79 - Subjects
        1 - Session