data/software

Data

Midnight Scan Club

OpenfMRI dataset from the Dosenbach lab and Midnight Scan Club group at WUSTL.

Dataset is described in:
Gordon, E. M., Laumann, T. O., Gilmore, A. W., Newbold, D. J., Greene, D. J., Berg, J. J., ... (2017). Precision functional mapping of individual human brains. Neuron, 95(4), 791-807.

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Midnight Scan Club: ROI-based information

Timeseries, correlation matrices, and distance matrices for data from the Midnight Scan Club.
Data is provided from rest and four tasks (motor, semantic, coherence, and memory) and for both group parcellations (Gordon 333 regions) and individual parcellations (described in Gordon et al., 2017).

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Probabilistic mapping ROI set and point-and-click tools
Files associated with Dworetsky et al., 2019 (SFN abstract) "Probabilistic mapping of human functional brain networks identifies regions of high inter-subject consensus".

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Software

Codebase for Seitzman et al., 2019, PNAS
MATLAB scripts used in the study by Seitzman et al., (2019), "Trait-like variants in human functional brain networks". PNAS. These scripts will allow users to create network variants, assign them to network templates, and find subgroups/sub-types of individuals on the basis of network variants.

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Codebase: Gratton et al., 2018, Neuron

Code to conduct analyses on Midnight Scan Club data from:

Gratton C, Laumann TO, Nielsen AN, Greene DJ, Gordon EM, Gilmore AW, Nelson SM, Coalson RS, Snyder AZ, Schlaggar BL, Dosenbach NUF, Petersen SE. Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation. Neuron. April 18, 2018.

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Midnight Scan Club: Tutorial - Matlab

Tutorial for viewing and processing functional connectivity data, based on the Midnight scan club dataset.

Originally presented at Dartmouth MIND summer school, 2017.

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Midnight Scan Club: Tutorial - Python

Tutorial for viewing and processing functional connectivity data, based on the Midnight scan club dataset.

Originally presented at Neurohackademy summer school, 2019.

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