References

APE+14

Alexandre Abraham, Fabian Pedregosa, Michael Eickenberg, Philippe Gervais, Andreas Mueller, Jean Kossaifi, Alexandre Gramfort, Bertrand Thirion, and Gael Varoquaux. Machine learning for neuroimaging with scikit-learn. Frontiers in Neuroinformatics, 2014. doi:10.3389/fninf.2014.00014.

CWP+17

Rastko Ciric, Daniel H. Wolf, Jonathan D. Power, David R. Roalf, Graham L. Baum, Kosha Ruparel, Russell T. Shinohara, Mark A. Elliott, Simon B. Eickhoff, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett, and Theodore D. Satterthwaite. Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. NeuroImage, 154(1):174–187, July 2017. doi:10.1016/j.neuroimage.2017.03.020.

EMB+18

Oscar Esteban, Christopher Markiewicz, Ross W Blair, Craig Moodie, Ayse Ilkay Isik, Asier Erramuzpe Aliaga, James Kent, Mathias Goncalves, Elizabeth DuPre, Madeleine Snyder, Hiroyuki Oya, Satrajit Ghosh, Jessey Wright, Joke Durnez, Russell Poldrack, and Krzysztof Jacek Gorgolewski. fMRIPrep: a robust preprocessing pipeline for functional MRI. Nature Methods, 2018. doi:10.1038/s41592-018-0235-4.

GAAA+17

Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M. Mallar Chakravarty, Nathan W. Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher J. Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, and Russell A. Poldrack. BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLOS Computational Biology, 13(3):e1005209, 2017. URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005209, doi:10.1371/journal.pcbi.1005209.

GP21

Brian E. Granger and Fernando Pérez. Jupyter: thinking and storytelling with code and data. IEEE: Computing in Science & Engineering, 23(2):7–14, 2021. doi:10.1109/MCSE.2021.3059263.

KDuPreT+22

Agah Karakuzu, Elizabeth DuPre, Loic Tetrel, Patrick Bermudez, Mathieu Boudreau, Mary Chin, Jean-Baptiste Poline, Samir Das, Pierre Bellec, and Nikola Stikov. NeuroLibre : a preprint server for full-fledged reproducible neuroscience. OSF Preprints, 2022. URL: https://osf.io/h89js/, doi:10.31219/osf.io/h89js.

PFYF18

Linden Parkes, Ben Fulcher, Murat Yücel, and Alex Fornito. An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional mri. NeuroImage, 171:415–436, May 2018. doi:10.1016/j.neuroimage.2017.12.073.

PBS+12

Jonathan D. Power, Kelly A. Barnes, Abraham Z. Snyder, Bradley L. Schlaggar, and Steven E. Petersen. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage, 59(3):2142–2154, 2012. doi:10.1016/j.neuroimage.2011.10.018.

PSP15

Jonathan D. Power, Bradley L. Schlaggar, and Steven E. Petersen. Recent progress and outstanding issues in motion correction in resting state fMRI. NeuroImage, 105:536–551, January 2015. doi:10.1016/j.neuroimage.2014.10.044.

RLRNS18

Hilary Richardson, Grace Lisandrelli, Alexa Riobueno-Naylor, and Rebecca Saxe. Development of the social brain from age three to twelve years. Nature Communications, 9(1):1027, March 2018. doi:10.1038/s41467-018-03399-2.

SWL+12

Theodore D. Satterthwaite, Daniel H. Wolf, James Loughead, Kosha Ruparel, Mark A. Elliott, Hakonarson Hakon, Ruben C. Gur, and Raquel E. Gur. Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth. NeuroImage, 60(1):623–632, March 2012. doi:10.1016/j.neuroimage.2011.12.063.

SKG+17

Alexander Schaefer, Ru Kong, Evan M. Gordon, Timothy O. Laumann, Xi-Nian Zuo, Avram J. Holmes, Simon B. Eickhoff, and B.T. Thomas Yeo. Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri. Cerebral Cortex, pages 1–20, 2017. doi:10.1093/cercor/bhx179.