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Publications

ReproNim Publications

  1. Rorden, C., Béranger, B., Cheng, H., Clemence, M., Debacker, C., Fernandez, B., Halchenko, Y., Harms, M., Holla, B., Innis, I., Kuijer, J., Levitas, D., Litinas, K., Luci, J., Newman-Norlund, R., Peltier, S., Rehwald, W., Reid, R., Rogers, B., Schwarz, C., Shin, J., Ganesan, V., Ganji, S., Morgan, P. (2025). DICOM datasets for reproducible neuroimaging research across manufacturers and software versions. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-05503-w

  2. Chhetri, Tek Raj, Chen, Yibei, Trivedi, Puja, Jarecka, Dorota, Haobsh, Saif, Ray, Patrick, Ng, Lydia, Ghosh, Satrajit S. (2025). STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking. arXiv. https://doi.org/10.48550/arXiv.2507.03674

  3. Taylor, Paul A., Aggarwal, Himanshu, Bandettini, Peter, Barilari, Marco, Bright, Molly, Caballero-Gaudes, Cesar, Calhoun, Vince, Chakravarty, Mallar, Devenyi, Gabriel, Evans, Jennifer, Garza-Villarreal, Eduardo, Rasgado-Toledo, Jalil, Gau, Remi, Glen, Daniel, Goebel, Rainer, Gonzalez-Castillo, Javier, Gulban, Omer Faruk, Halchenko, Yaroslav, Handwerker, Daniel, Hanayik, Taylor, Lauren, Peter, Leopold, David, Lerch, Jason, Mathys, Christian, McCarthy, Paul, McLeod, Anke, Mejia, Amanda, Moia, Stefano, Nichols, Thomas, Pernet, Cyril, Pessoa, Luiz, Pfleiderer, Bettina, Rajendra, Justin, Reyes, Laura, Reynolds, Richard, Roopchansingh, Vinai, Rorden, Chris, Russ, Brian, Sundermann, Benedikt, Thirion, Bertrand, Torrisi, Salvatore, Chen, Gang (2025). Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation. arXiv. https://doi.org/10.48550/arXiv.2504.07824

  4. Chen, Y., Jarecka, D., Abraham, S., Gau, R., Ng, E., Low, D., Bevers, I., Johnson, A., Keshavan, A., Klein, A., Clucas, J., Rosli, Z., Hodge, S., Linkersdörfer, J., Bartsch, H., Das, S., Fair, D., Kennedy, D., Ghosh, S. (2025). Standardizing Survey Data Collection to Enhance Reproducibility: Development and Comparative Evaluation of the ReproSchema Ecosystem. Journal of Medical Internet Research, 27(), e63343. https://doi.org/10.2196/63343

  5. Pedroza‐Sotelo, K., Schwarb, H., Auerbach, R., Ghosh, S., Henin, A., Hofmann, S., Pizzagalli, D., Yendiki, A., Whitfield‐Gabrieli, S., Gabrieli, J., Hubbard, N. (2025). Evidence of Disrupted Hippocampal Gray‐ and White‐Matter Development in Adolescent Anxiety Disorders, Independent From Early‐Life Stress. Hippocampus, 35(5). https://doi.org/10.1002/hipo.70028

  6. Szczepanik, M., Wagner, A., Heunis, S., Waite, L., Eickhoff, S., Hanke, M. (2024). Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort. Neuroinformatics, 22(4), 635-645. https://doi.org/10.1007/s12021-024-09665-7

  7. Renton, A., Dao, T., Johnstone, T., Civier, O., Sullivan, R., White, D., Lyons, P., Slade, B., Abbott, D., Amos, T., Bollmann, S., Botting, A., Campbell, M., Chang, J., Close, T., Dörig, M., Eckstein, K., Egan, G., Evas, S., Flandin, G., Garner, K., Garrido, M., Ghosh, S., Grignard, M., Halchenko, Y., Hannan, A., Heinsfeld, A., Huber, L., Hughes, M., Kaczmarzyk, J., Kasper, L., Kuhlmann, L., Lou, K., Mantilla-Ramos, Y., Mattingley, J., Meier, M., Morris, J., Narayanan, A., Pestilli, F., Puce, A., Ribeiro, F., Rogasch, N., Rorden, C., Schira, M., Shaw, T., Sowman, P., Spitz, G., Stewart, A., Ye, X., Zhu, J., Narayanan, A., Bollmann, S. (2024). Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nature Methods, 21(5), 804-808. https://doi.org/10.1038/s41592-023-02145-x

  8. Hubbard, N., Bauer, C., Siless, V., Auerbach, R., Elam, J., Frosch, I., Henin, A., Hofmann, S., Hodge, M., Jones, R., Lenzini, P., Lo, N., Park, A., Pizzagalli, D., Vaz-DeSouza, F., Gabrieli, J., Whitfield-Gabrieli, S., Yendiki, A., Ghosh, S. (2024). The Human Connectome Project of adolescent anxiety and depression dataset. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03629-x

  9. Torabi, M., Mitsis, G., Poline, J. (2024). On the variability of dynamic functional connectivity assessment methods. GigaScience, 13(). https://doi.org/10.1093/gigascience/giae009

  10. Burdinski, D., Kodibagkar, A., Potter, K., Schuster, R., Evins, A., Ghosh, S., Gilman, J. (2024). Impact of year-long cannabis use for medical symptoms on brain activation during cognitive processes. Journal unknown. https://doi.org/10.1101/2024.04.29.24306516

  11. Poldrack, R., Markiewicz, C., Appelhoff, S., Ashar, Y., Auer, T., Baillet, S., Bansal, S., Beltrachini, L., Benar, C., Bertazzoli, G., Bhogawar, S., Blair, R., Bortoletto, M., Boudreau, M., Brooks, T., Calhoun, V., Castelli, F., Clement, P., Cohen, A., Cohen-Adad, J., D’Ambrosio, S., de Hollander, G., de la Iglesia-Vayá, M., de la Vega, A., Delorme, A., Devinsky, O., Draschkow, D., Duff, E., DuPre, E., Earl, E., Esteban, O., Feingold, F., Flandin, G., Galassi, A., Gallitto, G., Ganz, M., Gau, R., Gholam, J., Ghosh, S., Giacomel, A., Gillman, A., Gleeson, P., Gramfort, A., Guay, S., Guidali, G., Halchenko, Y., Handwerker, D., Hardcastle, N., Herholz, P., Hermes, D., Honey, C., Innis, R., Ioanas, H., Jahn, A., Karakuzu, A., Keator, D., Kiar, G., Kincses, B., Laird, A., Lau, J., Lazari, A., Legarreta, J., Li, A., Li, X., Love, B., Lu, H., Marcantoni, E., Maumet, C., Mazzamuto, G., Meisler, S., Mikkelsen, M., Mutsaerts, H., Nichols, T., Nikolaidis, A., Nilsonne, G., Niso, G., Norgaard, M., Okell, T., Oostenveld, R., Ort, E., Park, P., Pawlik, M., Pernet, C., Pestilli, F., Petr, J., Phillips, C., Poline, J., Pollonini, L., Raamana, P., Ritter, P., Rizzo, G., Robbins, K., Rockhill, A., Rogers, C., Rokem, A., Rorden, C., Routier, A., Saborit-Torres, J., Salo, T., Schirner, M., Smith, R., Spisak, T., Sprenger, J., Swann, N., Szinte, M., Takerkart, S., Thirion, B., Thomas, A., Torabian, S., Varoquaux, G., Voytek, B., Welzel, J., Wilson, M., Yarkoni, T., Gorgolewski, K. (2024). The past, present, and future of the brain imaging data structure (BIDS). Imaging Neuroscience, 2(), 1-19. https://doi.org/10.1162/imag_a_00103

  12. Kliemann, D., Galdi, P., Van De Water, A., Egger, B., Jarecka, D., Adolphs, R., Ghosh, S. (2024). Resting-State Functional Connectivity of the Amygdala in Autism: A Preregistered Large-Scale Study. American Journal of Psychiatry, 181(12), 1076-1085. https://doi.org/10.1176/appi.ajp.20230249

  13. Lin, D., Backus, D., Chakraborty, S., Liew, S., Valero-Cuevas, F., Patten, C., Cotton, R. (2024). Transforming modeling in neurorehabilitation: clinical insights for personalized rehabilitation. Journal of NeuroEngineering and Rehabilitation, 21(1). https://doi.org/10.1186/s12984-024-01309-w

  14. Low, D., Rao, V., Randolph, G., Song, P., Ghosh, S. (2024). Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings. PLOS Digital Health, 3(5), e0000516. https://doi.org/10.1371/journal.pdig.0000516

  15. Sokołowski, A., Bhagwat, N., Chatelain, Y., Dugré, M., Hanganu, A., Monchi, O., McPherson, B., Wang, M., Poline, J., Sharp, M., Glatard, T. (2024). Longitudinal brain structure changes in Parkinson’s disease: A replication study. PLOS ONE, 19(1), e0295069. https://doi.org/10.1371/journal.pone.0295069

  16. Halchenko, Y., Goncalves, M., Ghosh, S., Velasco, P., Visconti di Oleggio Castello, M., Salo, T., Wodder, J., Hanke, M., Sadil, P., Gorgolewski, K., Ioanas, H., Rorden, C., Hendrickson, T., Dayan, M., Houlihan, S., Kent, J., Strauss, T., Lee, J., To, I., Markiewicz, C., Lukas, D., Butler, E., Thompson, T., Termenon, M., Smith, D., Macdonald, A., Kennedy, D. (2024). HeuDiConv — flexible DICOM conversion into structured directory layouts. Journal of Open Source Software, 9(99), 5839. https://doi.org/10.21105/joss.05839

  17. Ioanas, H., Macdonald, A., Halchenko, Y. (2024). Neuroimaging article reexecution and reproduction assessment system. Frontiers in Neuroinformatics, 18(). https://doi.org/10.3389/fninf.2024.1376022

  18. Plis, S., Masoud, M., Hu, F., Hanayik, T., Ghosh, S., Drake, C., Newman-Norlund, R., Rorden, C. (2024). Brainchop: Providing an Edge Ecosystem for Deployment of Neuroimaging Artificial Intelligence Models. Aperture Neuro, 4(). https://doi.org/10.52294/001c.123059

  19. Larivière, S., Bayrak, Ş., Vos de Wael, R., Benkarim, O., Herholz, P., Rodriguez-Cruces, R., Paquola, C., Hong, S., Misic, B., Evans, A., Valk, S., Bernhardt, B. (2023). BrainStat: A toolbox for brain-wide statistics and multimodal feature associations. NeuroImage, 266(), 119807. https://doi.org/10.1016/j.neuroimage.2022.119807

  20. Kiar, G., Clucas, J., Feczko, E., Goncalves, M., Jarecka, D., Markiewicz, C., Halchenko, Y., Hermosillo, R., Li, X., Miranda-Dominguez, O., Ghosh, S., Poldrack, R., Satterthwaite, T., Milham, M., Fair, D. (2023). Align with the NMIND consortium for better neuroimaging. Nature Human Behaviour, 7(7), 1027-1028. https://doi.org/10.1038/s41562-023-01647-0

  21. Poline, J., Das, S., Glatard, T., Madjar, C., Dickie, E., Lecours, X., Beaudry, T., Beck, N., Behan, B., Brown, S., Bujold, D., Beauvais, M., Caron, B., Czech, C., Dharsee, M., Dugré, M., Evans, K., Gee, T., Ippoliti, G., Kiar, G., Knoppers, B., Kuehn, T., Le, D., Lo, D., Mazaheri, M., MacFarlane, D., Muja, N., O’Brien, E., O’Callaghan, L., Paiva, S., Park, P., Quesnel, D., Rabelais, H., Rioux, P., Legault, M., Tremblay-Mercier, J., Rotenberg, D., Stone, J., Strauss, T., Zaytseva, K., Zhou, J., Duchesne, S., Khan, A., Hill, S., Evans, A. (2023). Data and Tools Integration in the Canadian Open Neuroscience Platform. Scientific Data, 10(1). https://doi.org/10.1038/s41597-023-01946-1

  22. Wang, Q., Aljassar, M., Bhagwat, N., Zeighami, Y., Evans, A., Dagher, A., Pike, G., Sadikot, A., Poline, J. (2023). Reproducibility of cerebellar involvement as quantified by consensus structural MRI biomarkers in advanced essential tremor. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-022-25306-y

  23. Peraza, J., Salo, T., Riedel, M., Bottenhorn, K., Poline, J., Dockès, J., Kent, J., Bartley, J., Flannery, J., Hill-Bowen, L., Lobo, R., Poudel, R., Ray, K., Robinson, J., Laird, R., Sutherland, M., de la Vega, A., Laird, A. (2023). Methods for decoding cortical gradients of functional connectivity. Journal unknown. https://doi.org/10.1101/2023.08.01.551505

  24. Zhao, C., Jarecka, D., Covitz, S., Chen, Y., Eickhoff, S., Fair, D., Franco, A., Halchenko, Y., Hendrickson, T., Hoffstaedter, F., Houghton, A., Kiar, G., Macdonald, A., Mehta, K., Milham, M., Salo, T., Hanke, M., Ghosh, S., Cieslak, M., Satterthwaite, T. (2023). A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps. Journal unknown. https://doi.org/10.1101/2023.08.16.552472

  25. Makris, N., Rushmore, R., Kaiser, J., Albaugh, M., Kubicki, M., Rathi, Y., Zhang, F., O’Donnell, L., Yeterian, E., Caviness, V., Kennedy, D. (2023). A Proposed Human Structural Brain Connectivity Matrix in the Center for Morphometric Analysis Harvard-Oxford Atlas Framework: A Historical Perspective and Future Direction for Enhancing the Precision of Human Structural Connectivity with a Novel Neuroanatomical Typology. Developmental Neuroscience, 45(4), 161-180. https://doi.org/10.1159/000530358

  26. Bollmann, S., Renton, A., Dao, T., Johnstone, T., Civier, O., Sullivan, R., White, D., Lyons, P., Slade, B., Abbott, D., Amos, T., Bollmann, S., Botting, A., Campbell, M., Chang, J., Close, T., Eckstein, K., Egan, G., Evas, S., Flandin, G., Garner, K., Garrido, M., Ghosh, S., Grignard, M., Hannan, A., Huber, L., Kaczmarzyk, J., Kasper, L., Kuhlmann, L., Lou, K., Mantilla-Ramos, Y., Mattingley, J., Morris, J., Narayanan, A., Pestilli, F., Puce, A., Ribeiro, F., Rogasch, N., Rorden, C., Schira, M., Shaw, T., Sowman, P., Spitz, G., Stewart, A., Ye, X., Zhu, J., Hughes, M., Narayanan, A. (2023). Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging. Journal unknown. https://doi.org/10.21203/rs.3.rs-2649734/v1

  27. Modarres, M., Cochran, D., Kennedy, D., Frazier, J. (2023). Comparison of comprehensive quantitative EEG metrics between typically developing boys and girls in resting state eyes-open and eyes-closed conditions. Frontiers in Human Neuroscience, 17(). https://doi.org/10.3389/fnhum.2023.1237651

  28. Lo, B., Donnelly, M., Barisano, G., Liew, S. (2023). A standardized protocol for manually segmenting stroke lesions on high-resolution T1-weighted MR images. Frontiers in Neuroimaging, 1(). https://doi.org/10.3389/fnimg.2022.1098604

  29. Ferris, J., Lo, B., Khlif, M., Brodtmann, A., Boyd, L., Liew, S. (2023). Optimizing automated white matter hyperintensity segmentation in individuals with stroke. Frontiers in Neuroimaging, 2(). https://doi.org/10.3389/fnimg.2023.1099301

  30. Queder, N., Tien, V., Abraham, S., Urchs, S., Helmer, K., Chaplin, D., van Erp, T., Kennedy, D., Poline, J., Grethe, J., Ghosh, S., Keator, D. (2023). NIDM-Terms: community-based terminology management for improved neuroimaging dataset descriptions and query. Frontiers in Neuroinformatics, 17(). https://doi.org/10.3389/fninf.2023.1174156

  31. Torabian, S., Vélez, N., Sochat, V., Halchenko, Y., Grossman, E. (2023). The PyMVPA BIDS-App: a robust multivariate pattern analysis pipeline for fMRI data. Frontiers in Neuroscience, 17(). https://doi.org/10.3389/fnins.2023.1233416

  32. Schabdach, J., Schmitt, J., Sotardi, S., Vossough, A., Andronikou, S., Roberts, T., Huang, H., Padmanabhan, V., Ortiz-Rosa, A., Gardner, M., Covitz, S., Bedford, S., Mandal, A., Chaiyachati, B., White, S., Bullmore, E., Bethlehem, R., Shinohara, R., Billot, B., Iglesias, J., Ghosh, S., Gur, R., Satterthwaite, T., Roalf, D., Seidlitz, J., Alexander-Bloch, A. (2023). Brain Growth Charts for Quantitative Analysis of Pediatric Clinical Brain MRI Scans with Limited Imaging Pathology. Radiology, 309(1). https://doi.org/10.1148/radiol.230096

  33. Notter, M., Herholz, P., Da Costa, S., Gulban, O., Isik, A., Gaglianese, A., Murray, M. (2022). fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines. Brain Topography, 36(2), 172-191. https://doi.org/10.1007/s10548-022-00935-8

  34. Poline, J., Kennedy, D., Sommer, F., Ascoli, G., Van Essen, D., Ferguson, A., Grethe, J., Hawrylycz, M., Thompson, P., Poldrack, R., Ghosh, S., Keator, D., Athey, T., Vogelstein, J., Mayberg, H., Martone, M. (2022). Is Neuroscience FAIR? A Call for Collaborative Standardisation of Neuroscience Data. Neuroinformatics, 20(2), 507-512. https://doi.org/10.1007/s12021-021-09557-0

  35. Cruces, R., Royer, J., Herholz, P., Larivière, S., Vos de Wael, R., Paquola, C., Benkarim, O., Park, B., Degré-Pelletier, J., Nelson, M., DeKraker, J., Leppert, I., Tardif, C., Poline, J., Concha, L., Bernhardt, B. (2022). Micapipe: A pipeline for multimodal neuroimaging and connectome analysis. NeuroImage, 263(), 119612. https://doi.org/10.1016/j.neuroimage.2022.119612

  36. Niso, G., Botvinik-Nezer, R., Appelhoff, S., De La Vega, A., Esteban, O., Etzel, J., Finc, K., Ganz, M., Gau, R., Halchenko, Y., Herholz, P., Karakuzu, A., Keator, D., Markiewicz, C., Maumet, C., Pernet, C., Pestilli, F., Queder, N., Schmitt, T., Sójka, W., Wagner, A., Whitaker, K., Rieger, J. (2022). Open and reproducible neuroimaging: From study inception to publication. NeuroImage, 263(), 119623. https://doi.org/10.1016/j.neuroimage.2022.119623

  37. Eke, D., Bernard, A., Bjaalie, J., Chavarriaga, R., Hanakawa, T., Hannan, A., Hill, S., Martone, M., McMahon, A., Ruebel, O., Crook, S., Thiels, E., Pestilli, F. (2022). International data governance for neuroscience. Neuron, 110(4), 600-612. https://doi.org/10.1016/j.neuron.2021.11.017

  38. Manelis, A., Halchenko, Y., Bonar, L., Stiffler, R., Satz, S., Miceli, R., Ladouceur, C., Bebko, G., Iyengar, S., Swartz, H., Phillips, M. (2022). Working memory updating in individuals with bipolar and unipolar depression: fMRI study. Translational Psychiatry, 12(1). https://doi.org/10.1038/s41398-022-02211-6

  39. Ciric, R., Thompson, W., Lorenz, R., Goncalves, M., MacNicol, E., Markiewicz, C., Halchenko, Y., Ghosh, S., Gorgolewski, K., Poldrack, R., Esteban, O. (2022). TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models. Nature Methods, 19(12), 1568-1571. https://doi.org/10.1038/s41592-022-01681-2

  40. Royer, J., Rodríguez-Cruces, R., Tavakol, S., Larivière, S., Herholz, P., Li, Q., Vos de Wael, R., Paquola, C., Benkarim, O., Park, B., Lowe, A., Margulies, D., Smallwood, J., Bernasconi, A., Bernasconi, N., Frauscher, B., Bernhardt, B. (2022). An Open MRI Dataset For Multiscale Neuroscience. Scientific Data, 9(1). https://doi.org/10.1038/s41597-022-01682-y

  41. Boaro, A., Kaczmarzyk, J., Kavouridis, V., Harary, M., Mammi, M., Dawood, H., Shea, A., Cho, E., Juvekar, P., Noh, T., Rana, A., Ghosh, S., Arnaout, O. (2022). Deep neural networks allow expert-level brain meningioma segmentation and present potential for improvement of clinical practice. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-19356-5

  42. Perez-Lebel, A., Varoquaux, G., Le Morvan, M., Josse, J., Poline, J. (2022). Benchmarking missing-values approaches for predictive models on health databases. GigaScience, 11(). https://doi.org/10.1093/gigascience/giac013

  43. McNaughton, R., Pieper, C., Sakai, O., Rollins, J., Zhang, X., Kennedy, D., Frazier, J., Douglass, L., Heeren, T., Fry, R., O’Shea, T., Kuban, K., Jara, H., Rollins, J., Shah, B., Singh, R., Vaidya, R., Van Marter, L., Martin, C., Ware, J., Rollins, C., Cole, C., Perrin, E., Sakai, C., Bednarek, F., Frazier, J., Ehrenkranz, R., Benjamin, J., Montgomery, A., O’Shea, T., Washburn, L., Gogcu, S., Bose, C., Warner, D., O’Shea, T., Engelke, S., Higginson, A., Higginson, J., Bear, K., Poortenga, M., Pastyrnak, S., Karna, P., Paneth, N., Lenski, M., Schreiber, M., Hunter, S., Msall, M., Batton, D., Klarr, J., Lee, Y., Obeid, R., Christianson, K., Klein, D., Wagner, K., Pimental, M., Hallisey, C., Coster, T., Dolins, M., Mittleman, M., Haile, H., Rohde, J., Nylen, E., Neger, E., Mattern, K., Ma, C., Toner, D., Vitaro, E., Venuti, L., Powers, B., Foley, A., Sacco, T., Williams, J., Romano, E., Henry, C., Hiatt, D., Peters, N., Brown, P., Ansusinha, E., Smith, J., Yang, N., Bose, G., Wereszczak, J., Bernhardt, J., Adams, J., Wilson, D., Darden-Saad, N., Williams, B., Jones, E., Sutton, D., Rathbun, J., Fagerman, S., Boshoven, W., Johnson, J., James, B., Miras, K., Solomon, C., Weiland, D., Yoon, G., Ramoskaite, R., Wiggins, S., Washington, K., Martin, R., Prendergast, B., Lynch, E., Kring, B., Smith, A., McQuiston, S., Butler, S., Wilson, R., McGhee, K., Lee, P., Asgarian, A., Sadhwani, A., Henson, B., Keller, C., Walkowiak, J., Barron, S., Miller, A., Dessureau, B., Wood, M., Damon-Minow, J., Romano, E., Mayes, L., Tsatsanis, K., Chawarska, K., Kim, S., Dieterich, S., Bearrs, K., Waldrep, E., Friedman, J., Hounshell, G., Allred, D., Helms, R., Whitley, L., Stainback, G., Bostic, L., Jacobson, A., McKeeman, J., Meyer, E., Price, J., Lloyd, M., Plesha-Troyke, S., Scott, M., Solomon, K., Brooklier, K., Vogt, K. (2022). Quantitative MRI Characterization of the Extremely Preterm Brain at Adolescence: Atypical versus Neurotypical Developmental Pathways. Radiology, 304(2), 419-428. https://doi.org/10.1148/radiol.210385

  44. Kumar, A., Crowley, A., Queder, N., Poline, J., Ghosh, S., Kennedy, D., Grethe, J., Helmer, K., Keator, D. (2022). The Neuroimaging Data Model Linear Regression Tool (nidm_linreg): PyNIDM Project. F1000Research, 11(), 228. https://doi.org/10.12688/f1000research.108008.2

  45. DuPre, E., Holdgraf, C., Karakuzu, A., Tetrel, L., Bellec, P., Stikov, N., Poline, J. (2022). Beyond advertising: New infrastructures for publishing integrated research objects. PLOS Computational Biology, 18(1), e1009651. https://doi.org/10.1371/journal.pcbi.1009651

  46. Satz, S., Halchenko, Y., Ragozzino, R., Lucero, M., Phillips, M., Swartz, H., Manelis, A. (2022). The Relationship Between Default Mode and Dorsal Attention Networks Is Associated With Depressive Disorder Diagnosis and the Strength of Memory Representations Acquired Prior to the Resting State Scan. Frontiers in Human Neuroscience, 16(). https://doi.org/10.3389/fnhum.2022.749767

  47. de la Vega, A., Rocca, R., Blair, R., Markiewicz, C., Mentch, J., Kent, J., Herholz, P., Ghosh, S., Poldrack, R., Yarkoni, T. (2022). Neuroscout, a unified platform for generalizable and reproducible fMRI research. eLife, 11(). https://doi.org/10.7554/eLife.79277

  48. Bannier, E., Barker, G., Borghesani, V., Broeckx, N., Clement, P., Emblem, K., Ghosh, S., Glerean, E., Gorgolewski, K., Havu, M., Halchenko, Y., Herholz, P., Hespel, A., Heunis, S., Hu, Y., Hu, C., Huijser, D., de la Iglesia Vayá, M., Jancalek, R., Katsaros, V., Kieseler, M., Maumet, C., Moreau, C., Mutsaerts, H., Oostenveld, R., Ozturk‐Isik, E., Pascual Leone Espinosa, N., Pellman, J., Pernet, C., Pizzini, F., Trbalić, A., Toussaint, P., Visconti di Oleggio Castello, M., Wang, F., Wang, C., Zhu, H. (2021). The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data. Human Brain Mapping, 42(7), 1945-1951. https://doi.org/10.1002/hbm.25351

  49. Abrams, M., Bjaalie, J., Das, S., Egan, G., Ghosh, S., Goscinski, W., Grethe, J., Kotaleski, J., Ho, E., Kennedy, D., Lanyon, L., Leergaard, T., Mayberg, H., Milanesi, L., Mouček, R., Poline, J., Roy, P., Strother, S., Tang, T., Tiesinga, P., Wachtler, T., Wójcik, D., Martone, M. (2021). A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility. Neuroinformatics, 20(1), 25-36. https://doi.org/10.1007/s12021-020-09509-0

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