Editor Daniele Marinazzo
Benedikt V. Ehinger, Olaf Dimigen
3 comments on PubPeer • http://dx.doi.org/10.1101/360156
Sep 05, 2018
Tracking cerebral blood flow in BOLD fMRI using recursively generated regressors (2014)
Yunjie Tong, Blaise deB. Frederick
http://www.ncbi.nlm.nih.gov/pubmed/24954380
Jun 25, 2018 - Data driven approach to map blood circulation in the brain. See https://github.com/bbfrederick/rapidtide and https://practicalfmri.blogspot.com/2018/06/fmri-data-modulators-3-low-frequency.html#more
Accurate autocorrelation modeling substantially improves fMRI reliability (2018)
Wiktor Olszowy, John Aston, Catarina Rua, Guy B. Williams
http://dx.doi.org/10.1101/323154
May 30, 2018
FMRIPrep: a robust preprocessing pipeline for functional MRI (2018)
Oscar Esteban, Christopher J. Markiewicz, Ross W. Blair, Craig A. Moodie, Ayse Ilkay Isik, Asier Erramuzpe Aliaga, James D. Kent, Mathias Goncalves, Elizabeth DuPre, Madeleine Snyder, Hiroyuki Oya, Satrajit S. Ghosh, Jessey Wright, Joke Durnez, Russell A. Poldrack, Krzysztof Jacek Gorgolewski
http://dx.doi.org/10.1101/306951
May 30, 2018
SEREEGA: Simulating Event-Related EEG Activity (2018)
Laurens Ruben Krol, Juliane Pawlitzki, Fabien Lotte, Klaus Gramann, Thorsten Oliver Zander
http://dx.doi.org/10.1101/326066
May 30, 2018 + 2 reviews
Chandra Sripada, Mike Angstadt, Saige Rutherford, Daniel Kessler, Yura Kim, Mike Yee, Liza Levina
http://dx.doi.org/10.1101/326082
May 30, 2018
Robin A.A. Ince, Bruno L. Giordano, Christoph Kayser, Guillaume A. Rousselet, Joachim Gross, Philippe G. Schyns
http://www.ncbi.nlm.nih.gov/pubmed/27860095
May 29, 2018 - This paper is one I like really much, since it presents a robust framework, with original applications to fMRI data, but potentially extensible to other data. All the analyses and figures are reproducible thanks to the code on github.