Pubs2

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 <ul>
 <li>Low, D. M., Rao, V., Randolph, G., Song, P. C., & Ghosh, S. S. (2024). Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings.  doi: <a href="https://doi.org/10.1101/2020.11.23.20235945">10.1101/2020.11.23.20235945</a>.</li>
 <li>Burdinski, D., Kodibagkar, A., Potter, K., Schuster, R., Evins, A. E., Ghosh, S., & Gilman, J. (2024). Impact of year-long cannabis use for medical symptoms on brain activation during cognitive processes.  doi: <a href="https://doi.org/10.1101/2024.04.29.24306516">10.1101/2024.04.29.24306516</a>.</li>
 <li>Lin, D. J., Backus, D., Chakraborty, S., Liew, S.-L., Valero-Cuevas, F. J., Patten, C., & Cotton, R. J. (2024). Transforming modeling in neurorehabilitation: clinical insights for personalized rehabilitation. Journal of NeuroEngineering and Rehabilitation, 21(1).  doi: <a href="https://doi.org/10.1186/s12984-024-01309-w">10.1186/s12984-024-01309-w</a>.</li>
 <li>Renton, A. I., Dao, T. T., Johnstone, T., Civier, O., Sullivan, R. P., White, D. J., Lyons, P., Slade, B. M., Abbott, D. F., Amos, T. J., Bollmann, S., Botting, A., Campbell, M. E. J., Chang, J., Close, T. G., Dörig, M., Eckstein, K., Egan, G. F., Evas, S., … Bollmann, S. (2024). Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nature Methods, 21(5), 804–808.  doi: <a href="https://doi.org/10.1038/s41592-023-02145-x">10.1038/s41592-023-02145-x</a>.</li>
 <li>Szczepanik, M., Wagner, A. S., Heunis, S., Waite, L. K., Eickhoff, S. B., & Hanke, M. (2024). Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort. Neuroinformatics, 22(4), 635–645.  doi: <a href="https://doi.org/10.1007/s12021-024-09665-7">10.1007/s12021-024-09665-7</a>.</li>
 <li>Sokołowski, A., Bhagwat, N., Chatelain, Y., Dugré, M., Hanganu, A., Monchi, O., McPherson, B., Wang, M., Poline, J.-B., Sharp, M., & Glatard, T. (2024). Longitudinal brain structure changes in Parkinson’s disease: A replication study. PLOS ONE, 19(1), e0295069.  doi: <a href="https://doi.org/10.1371/journal.pone.0295069">10.1371/journal.pone.0295069</a>.</li>
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 <li>Niso, G., Botvinik-Nezer, R., Appelhoff, S., De La Vega, A., Esteban, O., Etzel, J. A., Finc, K., Ganz, M., Gau, R., Halchenko, Y. O., Herholz, P., Karakuzu, A., Keator, D. B., Markiewicz, C. J., Maumet, C., Pernet, C. R., Pestilli, F., Queder, N., Schmitt, T., … Rieger, J. W. (2022). Open and reproducible neuroimaging: From study inception to publication. NeuroImage, 263, 119623.  doi: <a href="https://doi.org/10.1016/j.neuroimage.2022.119623">10.1016/j.neuroimage.2022.119623</a>.</li>
 <li>Manelis, A., Halchenko, Y. O., Bonar, L., Stiffler, R. S., Satz, S., Miceli, R., Ladouceur, C. D., Bebko, G., Iyengar, S., Swartz, H. A., & Phillips, M. L. (2022). Working memory updating in individuals with bipolar and unipolar depression: fMRI study. Translational Psychiatry, 12(1).  doi: <a href="https://doi.org/10.1038/s41398-022-02211-6">10.1038/s41398-022-02211-6</a>.</li>
 <li>Modarres, M., Cochran, D., Kennedy, D. N., Schmidt, R., Fitzpatrick, P., & Frazier, J. A. (2021). Biomarkers Based on Comprehensive Hierarchical EEG Coherence Analysis: Example Application to Social Competence in Autism (Preliminary Results). Neuroinformatics, 20(1), 53–62.  doi: <a href="https://doi.org/10.1007/s12021-021-09517-8">10.1007/s12021-021-09517-8</a>.</li>
 <li>McNaughton, R., Pieper, C., Sakai, O., Rollins, J. V., Zhang, X., Kennedy, D. N., Frazier, J. A., Douglass, L., Heeren, T., Fry, R. C., O’Shea, T. M., Kuban, K. K., Jara, H., Rollins, J. V., Shah, B., Singh, R., Vaidya, R., Van Marter, L., … Vogt, K. (2022). Quantitative MRI Characterization of the Extremely Preterm Brain at                     Adolescence: Atypical versus Neurotypical Developmental Pathways. Radiology, 304(2), 419–428.  doi: <a href="https://doi.org/10.1148/radiol.210385">10.1148/radiol.210385</a>.</li>
 <li>de la Vega, A., Rocca, R., Blair, R. W., Markiewicz, C. J., Mentch, J., Kent, J. D., Herholz, P., Ghosh, S. S., Poldrack, R. A., & Yarkoni, T. (2022). Neuroscout, a unified platform for generalizable and reproducible fMRI research. ELife, 11. CLOCKSS.  doi: <a href="https://doi.org/10.7554/elife.79277">10.7554/eLife.79277</a>.</li>
 <li>Ciric, R., Thompson, W. H., Lorenz, R., Goncalves, M., MacNicol, E. E., Markiewicz, C. J., Halchenko, Y. O., Ghosh, S. S., Gorgolewski, K. J., Poldrack, R. A., & Esteban, O. (2022). TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models. Nature Methods, 19(12), 1568–1571.  doi: <a href="https://doi.org/10.1038/s41592-022-01681-2">10.1038/s41592-022-01681-2</a>.</li>
 <li>Eke, D. O., Bernard, A., Bjaalie, J. G., Chavarriaga, R., Hanakawa, T., Hannan, A. J., Hill, S. L., Martone, M. E., McMahon, A., Ruebel, O., Crook, S., Thiels, E., & Pestilli, F. (2022). International data governance for neuroscience. Neuron, 110(4), 600–612.  doi: <a href="https://doi.org/10.1016/j.neuron.2021.11.017">10.1016/j.neuron.2021.11.017</a>.</li>
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 <li>Hodge, S. M., Haselgrove, C., Honor, L., Kennedy, D. N., & Frazier, J. A. (2021). An assessment of the autism neuroimaging literature for the prospects of re-executability. F1000Research, 9, 1031.  doi: <a href="https://doi.org/10.12688/f1000research.25306.2">10.12688/f1000research.25306.2</a>.</li>
 <li>Siless, V., Hubbard, N. A., Jones, R., Wang, J., Lo, N., Bauer, C. C. C., Goncalves, M., Frosch, I., Norton, D., Vergara, G., Conroy, K., De Souza, F. V., Rosso, I. M., Wickham, A. H., Cosby, E. A., Pinaire, M., Hirshfeld-Becker, D., Pizzagalli, D. A., Henin, A., … Yendiki, A. (2020). Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study. NeuroImage: Clinical, 26, 102242.  doi: <a href="https://doi.org/10.1016/j.nicl.2020.102242">10.1016/j.nicl.2020.102242</a>.</li>
 <li>DuPre, E., Hanke, M., & Poline, J.-B. (2020). Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli. NeuroImage, 216, 116330.  doi: <a href="https://doi.org/10.1016/j.neuroimage.2019.116330">10.1016/j.neuroimage.2019.116330</a>.</li>
+<li>Esteban, O., Ciric, R., Finc, K., Blair, R. W., Markiewicz, C. J., Moodie, C. A., Kent, J. D., Goncalves, M., DuPre, E., Gomez, D. E. P., Ye, Z., Salo, T., Valabregue, R., Amlien, I. K., Liem, F., Jacoby, N., Stojić, H., Cieslak, M., Urchs, S., … Gorgolewski, K. J. (2020). Analysis of task-based functional MRI data preprocessed with fMRIPrep. Nature Protocols, 15(7), 2186–2202.  doi: <a href="https://doi.org/10.1038/s41596-020-0327-3">10.1038/s41596-020-0327-3</a>.</li>
 <li>Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., Kirchler, M., Iwanir, R., Mumford, J. A., Adcock, R. A., Avesani, P., Baczkowski, B. M., Bajracharya, A., Bakst, L., Ball, S., Barilari, M., Bault, N., Beaton, D., Beitner, J., … Schonberg, T. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature, 582(7810), 84–88.  doi: <a href="https://doi.org/10.1038/s41586-020-2314-9">10.1038/s41586-020-2314-9</a>.</li>
 <li>Lin, D., Crabtree, J., Dillo, I., Downs, R. R., Edmunds, R., Giaretta, D., De Giusti, M., L’Hours, H., Hugo, W., Jenkyns, R., Khodiyar, V., Martone, M. E., Mokrane, M., Navale, V., Petters, J., Sierman, B., Sokolova, D. V., Stockhause, M., & Westbrook, J. (2020). The TRUST Principles for digital repositories. Scientific Data, 7(1).  doi: <a href="https://doi.org/10.1038/s41597-020-0486-7">10.1038/s41597-020-0486-7</a>.</li>
 <li>Keshavan, A., & Poline, J.-B. (2019). From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research. Frontiers in Neuroinformatics, 13.  doi: <a href="https://doi.org/10.3389/fninf.2019.00003">10.3389/fninf.2019.00003</a>.</li>