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<span id="id1"></span><h1>General bibliography<a class="headerlink" href="#general-bibliography" title="Permalink to this headline">¶</a></h1>
<p>The references below are arranged alphabetically by first author. You can download the bib file <a class="reference download internal" download="" href="_downloads/33e59b5ca9ec342068223d604c3f8d55/references.bib"><code class="xref download docutils literal notranslate"><span class="pre">here</span></code></a>.</p>
<p id="id2"><ol class="arabic simple" start="1">
<li id="id3"><p>Alexandre Abraham, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, and Gael Varoquaux. Region segmentation for sparse decompositions: better brain parcellations from rest fMRI. Sparsity Techniques in Medical Imaging, September 2014. URL: <a class="reference external" href="https://hal.inria.fr/hal-01093944">https://hal.inria.fr/hal-01093944</a>.</p></li>
<li id="id4"><p>Elena Allen, Erik Erhardt, Eswar Damaraju, William Gruner, Judith Segall, Rogers Silva, Martin Havlicek, Srinivas Rachakonda, Jill Fries, Ravi Kalyanam, Andrew Michael, Arvind Caprihan, Jessica Turner, Tom Eichele, Steven Adelsheim, Angela Bryan, Juan Bustillo, Vincent Clark, Sarah Feldstein Ewing, Francesca Filbey, Corey Ford, Kent Hutchison, Rex Jung, Kent Kiehl, Piyadasa Kodituwakku, Yuko Komesu, Andrew Mayer, Godfrey Pearlson, John Phillips, Joseph Sadek, Michael Stevens, Ursina Teuscher, Robert Thoma, and Vince Calhoun. A baseline for the multivariate comparison of resting-state networks. <em>Frontiers in Systems Neuroscience</em>, 5:2, 2011. URL: <a class="reference external" href="https://www.frontiersin.org/article/10.3389/fnsys.2011.00002">https://www.frontiersin.org/article/10.3389/fnsys.2011.00002</a>, <a class="reference external" href="https://doi.org/10.3389/fnsys.2011.00002">doi:10.3389/fnsys.2011.00002</a>.</p></li>
<li id="id5"><p>Luca Baldassarre, Janaina Mourao-Miranda, and Massimiliano Pontil. Structured sparsity models for brain decoding from fmri data. In <em>2012 Second International Workshop on Pattern Recognition in NeuroImaging</em>, volume, 5–8. 2012. URL: <a class="reference external" href="http://www0.cs.ucl.ac.uk/staff/M.Pontil/reading/neurosparse_prni.pdf">http://www0.cs.ucl.ac.uk/staff/M.Pontil/reading/neurosparse_prni.pdf</a>, <a class="reference external" href="https://doi.org/10.1109/PRNI.2012.31">doi:10.1109/PRNI.2012.31</a>.</p></li>
<li id="id6"><p>Yashar Behzadi, Khaled Restom, Joy Liau, and Thomas T. Liu. A component based noise correction method (compcor) for bold and perfusion based fmri. <em>NeuroImage</em>, 37(1):90–101, 2007. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811907003837">https://www.sciencedirect.com/science/article/pii/S1053811907003837</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2007.04.042">doi:https://doi.org/10.1016/j.neuroimage.2007.04.042</a>.</p></li>
<li id="id7"><p>Pierre Bellec. Mining the hierarchy of resting-state brain networks: selection of representative clusters in a multiscale structure. In <em>2013 International Workshop on Pattern Recognition in Neuroimaging</em>, volume, 54–57. 06 2013. <a class="reference external" href="https://doi.org/10.1109/PRNI.2013.23">doi:10.1109/PRNI.2013.23</a>.</p></li>
<li id="id8"><p>Pierre Bellec, Pedro Rosa-Neto, Oliver C. Lyttelton, Habib Benali, and Alan C. Evans. Multi-level bootstrap analysis of stable clusters in resting-state fmri. <em>NeuroImage</em>, 51(3):1126–1139, 2010. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811910002697">https://www.sciencedirect.com/science/article/pii/S1053811910002697</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2010.02.082">doi:https://doi.org/10.1016/j.neuroimage.2010.02.082</a>.</p></li>
<li id="id9"><p>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. <em>NeuroImage</em>, 154(1):174–187, 2017. <a class="reference external" href="https://doi.org/10.1016/j.neuroimage.2017.03.020">doi:10.1016/j.neuroimage.2017.03.020</a>.</p></li>
<li id="id10"><p>Alex Clarke and Lorraine K. Tyler. Object-specific semantic coding in human perirhinal cortex. <em>Journal of Neuroscience</em>, 34(14):4766–4775, 2014. URL: <a class="reference external" href="https://www.jneurosci.org/content/34/14/4766">https://www.jneurosci.org/content/34/14/4766</a>, <a class="reference external" href="https://arxiv.org/abs/https://www.jneurosci.org/content/34/14/4766.full.pdf">arXiv:https://www.jneurosci.org/content/34/14/4766.full.pdf</a>, <a class="reference external" href="https://doi.org/10.1523/JNEUROSCI.2828-13.2014">doi:10.1523/JNEUROSCI.2828-13.2014</a>.</p></li>
<li id="id11"><p>D. Louis Collins, Alex P. Zijdenbos, Wim F. C. Baaré, and Alan C. Evans. Animal+insect: improved cortical structure segmentation. In Attila Kuba, Martin Šáamal, and Andrew Todd-Pokropek, editors, <em>Information Processing in Medical Imaging</em>, 210–223. Berlin, Heidelberg, 1999. Springer Berlin Heidelberg.</p></li>
<li id="id12"><p>R. Cameron Craddock, G.Andrew James, Paul E. Holtzheimer III, Xiaoping P. Hu, and Helen S. Mayberg. A whole brain fmri atlas generated via spatially constrained spectral clustering. <em>Human Brain Mapping</em>, 33(8):1914–1928, 2012. URL: <a class="reference external" href="https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.21333">https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.21333</a>, <a class="reference external" href="https://arxiv.org/abs/https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.21333">arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.21333</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1002/hbm.21333">doi:https://doi.org/10.1002/hbm.21333</a>.</p></li>
<li id="id16"><p>Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit, Krzysztof J. Gorgolewski, Demian Wassermann, Bertrand Thirion, and Arthur Mensch. Fine-grain atlases of functional modes for fmri analysis. <em>NeuroImage</em>, 221:117126, 2020. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811920306121">https://www.sciencedirect.com/science/article/pii/S1053811920306121</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2020.117126">doi:https://doi.org/10.1016/j.neuroimage.2020.117126</a>.</p></li>
<li id="id23"><p>C Destrieux, B Fischl, AM Dale, and E Halgren. A sulcal depth-based anatomical parcellation of the cerebral cortex. <em>NeuroImage</em>, 47(Supplement 1):S151, 2009. <a class="reference external" href="https://doi.org/10.1016/S1053-8119(09)71561-7">doi:10.1016/S1053-8119(09)71561-7</a>.</p></li>
<li id="id24"><p>Christophe Destrieux, Bruce Fischl, Anders Dale, and Eric Halgren. Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. <em>NeuroImage</em>, 53(1):1–15, 2010. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811910008542">https://www.sciencedirect.com/science/article/pii/S1053811910008542</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2010.06.010">doi:https://doi.org/10.1016/j.neuroimage.2010.06.010</a>.</p></li>
<li id="id13"><p>Elvis Dohmatob, Michael Eickenberg, Bertrand Thirion, and Gaël Varoquaux. Speeding-up model-selection in GraphNet via early-stopping and univariate feature-screening. In <em>PRNI</em>. Stanford, United States, June 2015. URL: <a class="reference external" href="https://hal.inria.fr/hal-01147731">https://hal.inria.fr/hal-01147731</a>.</p></li>
<li id="id14"><p>Elvis Dohmatob, Alexandre Gramfort, Bertrand Thirion, and Gaël Varoquaux. Benchmarking solvers for TV-l1 least-squares and logistic regression in brain imaging. In <em>PRNI 2014 - 4th International Workshop on Pattern Recognition in NeuroImaging</em>. Tübingen, Germany, June 2014. IEEE. URL: <a class="reference external" href="https://hal.inria.fr/hal-00991743">https://hal.inria.fr/hal-00991743</a>.</p></li>
<li id="id15"><p>Nico U. F. Dosenbach, Binyam Nardos, Alexander L. Cohen, Damien A. Fair, Jonathan D. Power, Jessica A. Church, Steven M. Nelson, Gagan S. Wig, Alecia C. Vogel, Christina N. Lessov-Schlaggar, Kelly Anne Barnes, Joseph W. Dubis, Eric Feczko, Rebecca S. Coalson, John R. Pruett, Deanna M. Barch, Steven E. Petersen, and Bradley L. Schlaggar. Prediction of individual brain maturity using fmri. <em>Science</em>, 329(5997):1358–1361, 2010. URL: <a class="reference external" href="https://science.sciencemag.org/content/329/5997/1358">https://science.sciencemag.org/content/329/5997/1358</a>, <a class="reference external" href="https://arxiv.org/abs/https://science.sciencemag.org/content/329/5997/1358.full.pdf">arXiv:https://science.sciencemag.org/content/329/5997/1358.full.pdf</a>, <a class="reference external" href="https://doi.org/10.1126/science.1194144">doi:10.1126/science.1194144</a>.</p></li>
<li id="id17"><p>John Duchi, Stephen Gould, and Daphne Koller. Projected subgradient methods for learning sparse gaussians. <em>arXiv:1206.3249 [cs, stat]</em>, 06 2012. URL: <a class="reference external" href="https://arxiv.org/abs/1206.3249">https://arxiv.org/abs/1206.3249</a>, <a class="reference external" href="https://arxiv.org/abs/1206.3249">arXiv:1206.3249</a>.</p></li>
<li id="id18"><p>Joset A. Etzel, Jeffrey M. Zacks, and Todd S. Braver. Searchlight analysis: promise, pitfalls, and potential. <em>NeuroImage</em>, 78:261–269, 2013. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811913002917">https://www.sciencedirect.com/science/article/pii/S1053811913002917</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2013.03.041">doi:https://doi.org/10.1016/j.neuroimage.2013.03.041</a>.</p></li>
<li id="id25"><p>Nicola Filippini, Bradley J. MacIntosh, Morgan G. Hough, Guy M. Goodwin, Giovanni B. Frisoni, Stephen M. Smith, Paul M. Matthews, Christian F. Beckmann, and Clare E. Mackay. Distinct patterns of brain activity in young carriers of the apoe-ε4 allele. <em>Proceedings of the National Academy of Sciences</em>, 106(17):7209–7214, 2009. URL: <a class="reference external" href="https://www.pnas.org/content/106/17/7209">https://www.pnas.org/content/106/17/7209</a>, <a class="reference external" href="https://arxiv.org/abs/https://www.pnas.org/content/106/17/7209.full.pdf">arXiv:https://www.pnas.org/content/106/17/7209.full.pdf</a>, <a class="reference external" href="https://doi.org/10.1073/pnas.0811879106">doi:10.1073/pnas.0811879106</a>.</p></li>
<li id="id26"><p>Bruce Fischl, Martin I. Sereno, Roger B.H. Tootell, and Anders M. Dale. High-resolution intersubject averaging and a coordinate system for the cortical surface. <em>Human Brain Mapping</em>, 8(4):272–284, 1999. URL: <a class="reference external" href="https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291097-0193%281999%298%3A4%3C272%3A%3AAID-HBM10%3E3.0.CO%3B2-4">https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291097-0193%281999%298%3A4%3C272%3A%3AAID-HBM10%3E3.0.CO%3B2-4</a>, <a class="reference external" href="https://arxiv.org/abs/https://onlinelibrary.wiley.com/doi/pdf/10.1002/%28SICI%291097-0193%281999%298%3A4%3C272%3A%3AAID-HBM10%3E3.0.CO%3B2-4">arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/%28SICI%291097-0193%281999%298%3A4%3C272%3A%3AAID-HBM10%3E3.0.CO%3B2-4</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4">doi:https://doi.org/10.1002/(SICI)1097-0193(1999)8:4<272::AID-HBM10>3.0.CO;2-4</a>.</p></li>
<li id="id27"><p>Bruce Fischl, André van der Kouwe, Christophe Destrieux, Eric Halgren, Florent Ségonne, David H. Salat, Evelina Busa, Larry J. Seidman, Jill Goldstein, David Kennedy, Verne Caviness, Nikos Makris, Bruce Rosen, and Anders M. Dale. Automatically Parcellating the Human Cerebral Cortex. <em>Cerebral Cortex</em>, 14(1):11–22, 01 2004. URL: <a class="reference external" href="https://doi.org/10.1093/cercor/bhg087">https://doi.org/10.1093/cercor/bhg087</a>, <a class="reference external" href="https://arxiv.org/abs/https://academic.oup.com/cercor/article-pdf/14/1/11/1193353/bhg087.pdf">arXiv:https://academic.oup.com/cercor/article-pdf/14/1/11/1193353/bhg087.pdf</a>, <a class="reference external" href="https://doi.org/10.1093/cercor/bhg087">doi:10.1093/cercor/bhg087</a>.</p></li>
<li id="id19"><p>P. Thomas Fletcher and Sarang Joshi. Riemannian geometry for the statistical analysis of diffusion tensor data. <em>Signal Processing</em>, 87(2):250–262, 2007. Tensor Signal Processing. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S0165168406001691">https://www.sciencedirect.com/science/article/pii/S0165168406001691</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.sigpro.2005.12.018">doi:https://doi.org/10.1016/j.sigpro.2005.12.018</a>.</p></li>
<li id="id28"><p>Vladimir Fonov, Alan C. Evans, Kelly Botteron, C. Robert Almli, Robert C. McKinstry, and D. Louis Collins. Unbiased average age-appropriate atlases for pediatric studies. <em>NeuroImage</em>, 54(1):313–327, 2011. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811910010062">https://www.sciencedirect.com/science/article/pii/S1053811910010062</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2010.07.033">doi:https://doi.org/10.1016/j.neuroimage.2010.07.033</a>.</p></li>
<li id="id29"><p>VS Fonov, AC Evans, RC McKinstry, CR Almli, and DL Collins. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood. <em>NeuroImage</em>, 47(Supplement 1):S102, 2009. <a class="reference external" href="https://doi.org/10.1016/S1053-8119(09)70884-5">doi:10.1016/S1053-8119(09)70884-5</a>.</p></li>
<li id="id30"><p>Michael D. Fox, Abraham Z. Snyder, Justin L Vincent, Maurizio Corbetta, David C. Van Essen, and Marcus E. Raichle. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. <em>Proceedings of the National Academy of Sciences</em>, 102(27):9673–9678, July 2005. <a class="reference external" href="https://doi.org/10.1073/pnas.0504136102">doi:10.1073/pnas.0504136102</a>.</p></li>
<li id="id20"><p>K. J. Friston, A. P. Holmes, K. J. Worsley, J.-P. Poline, C. D. Frith, and R. S. J. Frackowiak. Statistical parametric maps in functional imaging: a general linear approach. <em>Human Brain Mapping</em>, 2(4):189–210, 1994. URL: <a class="reference external" href="https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.460020402">https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.460020402</a>, <a class="reference external" href="https://arxiv.org/abs/https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.460020402">arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.460020402</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1002/hbm.460020402">doi:https://doi.org/10.1002/hbm.460020402</a>.</p></li>
<li id="id31"><p>K. J. Friston, A. P. Holmes, K. J. Worsley, J.-P. Poline, C. D. Frith, and R. S. J. Frackowiak. Statistical parametric maps in functional imaging: a general linear approach. <em>Human Brain Mapping</em>, 2(4):189–210, 1994. URL: <a class="reference external" href="https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.460020402">https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.460020402</a>, <a class="reference external" href="https://arxiv.org/abs/https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.460020402">arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.460020402</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1002/hbm.460020402">doi:https://doi.org/10.1002/hbm.460020402</a>.</p></li>
<li id="id67"><p>Stephen Smith1 Diego Vidaurre2 Matthew Glasser, Anderson Winkler1 Paul McCarthy1 Emma Robinson, Xu Chen4 William Horton3 Mark Jenkinson, and Eugene Duff1 Christian Beckmann. Hcp beta-release of the functional connectivity megatrawl. In <em>humanconnectome</em>. 2015. URL: <a class="reference external" href="https://www.humanconnectome.org/storage/app/media/documentation/s500/HCP500_MegaTrawl_April2015.pdf">https://www.humanconnectome.org/storage/app/media/documentation/s500/HCP500_MegaTrawl_April2015.pdf</a>.</p></li>
<li id="id21"><p>Krzysztof J. Gorgolewski, Gael Varoquaux, Gabriel Rivera, Yannick Schwarz, Satrajit S. Ghosh, Camille Maumet, Vanessa V. Sochat, Thomas E. Nichols, Russell A. Poldrack, Jean-Baptiste Poline, Tal Yarkoni, and Daniel S. Margulies. Neurovault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain. <em>Frontiers in Neuroinformatics</em>, 9:8, 2015. URL: <a class="reference external" href="https://www.frontiersin.org/article/10.3389/fninf.2015.00008">https://www.frontiersin.org/article/10.3389/fninf.2015.00008</a>, <a class="reference external" href="https://doi.org/10.3389/fninf.2015.00008">doi:10.3389/fninf.2015.00008</a>.</p></li>
<li id="id32"><p>Alexandre Gramfort, Bertrand Thirion, and Gaël Varoquaux. Identifying predictive regions from fMRI with TV-L1 prior. In <em>Pattern Recognition in Neuroimaging (PRNI)</em>. Philadelphia, United States, June 2013. IEEE. URL: <a class="reference external" href="https://hal.inria.fr/hal-00839984">https://hal.inria.fr/hal-00839984</a>.</p></li>
<li id="id33"><p>Logan Grosenick, Brad Klingenberg, Kiefer Katovich, Brian Knutson, and Jonathan E. Taylor. Interpretable whole-brain prediction analysis with graphnet. <em>NeuroImage</em>, 72:304–321, 2013. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811912012487">https://www.sciencedirect.com/science/article/pii/S1053811912012487</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2012.12.062">doi:https://doi.org/10.1016/j.neuroimage.2012.12.062</a>.</p></li>
<li id="id34"><p>James V. Haxby, M. Ida Gobbini, Maura L. Furey, Alumit Ishai, Jennifer L. Schouten, and Pietro Pietrini. Distributed and overlapping representations of faces and objects in ventral temporal cortex. <em>Science</em>, 293(5539):2425–2430, 2001. URL: <a class="reference external" href="https://science.sciencemag.org/content/293/5539/2425">https://science.sciencemag.org/content/293/5539/2425</a>, <a class="reference external" href="https://arxiv.org/abs/https://science.sciencemag.org/content/293/5539/2425.full.pdf">arXiv:https://science.sciencemag.org/content/293/5539/2425.full.pdf</a>, <a class="reference external" href="https://doi.org/10.1126/science.1063736">doi:10.1126/science.1063736</a>.</p></li>
<li id="id22"><p>Jean Honorio, Tommi Jaakkola, and Dimitris Samaras. On the statistical efficiency of l1,p multi-task learning of gaussian graphical models. <em>arXiv:1207.4255 [cs, stat]</em>, 10 2015. URL: <a class="reference external" href="https://arxiv.org/abs/1207.4255">https://arxiv.org/abs/1207.4255</a>, <a class="reference external" href="https://arxiv.org/abs/1207.4255">arXiv:1207.4255</a>.</p></li>
<li id="id35"><p>Andres Hoyos-Idrobo, Gael Varoquaux, Jonas Kahn, and Bertrand Thirion. Recursive nearest agglomeration (rena): fast clustering for approximation of structured signals. <em>IEEE Trans. Pattern Anal. Mach. Intell.</em>, 41(3):669–681, 3 2019. URL: <a class="reference external" href="https://doi.org/10.1109/TPAMI.2018.2815524">https://doi.org/10.1109/TPAMI.2018.2815524</a>, <a class="reference external" href="https://doi.org/10.1109/TPAMI.2018.2815524">doi:10.1109/TPAMI.2018.2815524</a>.</p></li>
<li id="id36"><p>Andrés Hoyos-Idrobo, Gaël Varoquaux, Yannick Schwartz, and Bertrand Thirion. Frem – scalable and stable decoding with fast regularized ensemble of models. <em>NeuroImage</em>, 180:160–172, 2018. New advances in encoding and decoding of brain signals. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811917308182">https://www.sciencedirect.com/science/article/pii/S1053811917308182</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2017.10.005">doi:https://doi.org/10.1016/j.neuroimage.2017.10.005</a>.</p></li>
<li id="id37"><p>Koji Jimura and Russell A. Poldrack. Analyses of regional-average activation and multivoxel pattern information tell complementary stories. <em>Neuropsychologia</em>, 50(4):544–552, 2012. Multivoxel pattern analysis and cognitive theories. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S0028393211005070">https://www.sciencedirect.com/science/article/pii/S0028393211005070</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuropsychologia.2011.11.007">doi:https://doi.org/10.1016/j.neuropsychologia.2011.11.007</a>.</p></li>
<li id="id38"><p>Thorsten Kahnt, Marcus Grueschow, Oliver Speck, and John-Dylan Haynes. Perceptual learning and decision-making in human medial frontal cortex. <em>Neuron</em>, 70(3):549–559, 2011. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S0896627311002960">https://www.sciencedirect.com/science/article/pii/S0896627311002960</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuron.2011.02.054">doi:https://doi.org/10.1016/j.neuron.2011.02.054</a>.</p></li>
<li id="id39"><p>Nikolaus Kriegeskorte, Rainer Goebel, and Peter Bandettini. Information-based functional brain mapping. <em>Proceedings of the National Academy of Sciences</em>, 103(10):3863–3868, 2006. URL: <a class="reference external" href="https://www.pnas.org/content/103/10/3863">https://www.pnas.org/content/103/10/3863</a>, <a class="reference external" href="https://doi.org/10.1073/pnas.0600244103">doi:10.1073/pnas.0600244103</a>.</p></li>
<li id="id40"><p>Angela R. Laird, P. Mickle Fox, Simon B. Eickhoff, Jessica A. Turner, Kimberly L. Ray, D. Reese McKay, David C. Glahn, Christian F. Beckmann, Stephen M. Smith, and Peter T. Fox. Behavioral Interpretations of Intrinsic Connectivity Networks. <em>Journal of Cognitive Neuroscience</em>, 23(12):4022–4037, 12 2011. URL: <a class="reference external" href="https://doi.org/10.1162/jocn\_a\_00077">https://doi.org/10.1162/jocn\_a\_00077</a>, <a class="reference external" href="https://arxiv.org/abs/https://direct.mit.edu/jocn/article-pdf/23/12/4022/1777164/jocn\_a\_00077.pdf">arXiv:https://direct.mit.edu/jocn/article-pdf/23/12/4022/1777164/jocn\_a\_00077.pdf</a>, <a class="reference external" href="https://doi.org/10.1162/jocn_a_00077">doi:10.1162/jocn_a_00077</a>.</p></li>
<li id="id41"><p>J.L. Lancaster, L.H. Rainey, J.L. Summerlin, C.S. Freitas, P.T. Fox, A.C. Evans, A.W. Toga, and J.C. Mazziotta. Automated labeling of the human brain: a preliminary report on the development and evaluation of a forward-transform method. <em>Human Brain Mapping</em>, 5(4):238–242, 1997. URL: <a class="reference external" href="https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291097-0193%281997%295%3A4%3C238%3A%3AAID-HBM6%3E3.0.CO%3B2-4">https://onlinelibrary.wiley.com/doi/abs/10.1002/%28SICI%291097-0193%281997%295%3A4%3C238%3A%3AAID-HBM6%3E3.0.CO%3B2-4</a>, <a class="reference external" href="https://arxiv.org/abs/https://onlinelibrary.wiley.com/doi/pdf/10.1002/%28SICI%291097-0193%281997%295%3A4%3C238%3A%3AAID-HBM6%3E3.0.CO%3B2-4">arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/%28SICI%291097-0193%281997%295%3A4%3C238%3A%3AAID-HBM6%3E3.0.CO%3B2-4</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1002/(SICI)1097-0193(1997)5:4<238::AID-HBM6>3.0.CO;2-4">doi:https://doi.org/10.1002/(SICI)1097-0193(1997)5:4<238::AID-HBM6>3.0.CO;2-4</a>.</p></li>
<li id="id42"><p>Jack L. Lancaster, Marty G. Woldorff, Lawrence M. Parsons, Mario Liotti, Catarina S. Freitas, Lacy Rainey, Peter V. Kochunov, Dan Nickerson, Shawn A. Mikiten, and Peter T. Fox. Automated talairach atlas labels for functional brain mapping. <em>Human Brain Mapping</em>, 10(3):120–131, 2000. URL: <a class="reference external" href="https://onlinelibrary.wiley.com/doi/abs/10.1002/1097-0193%28200007%2910%3A3%3C120%3A%3AAID-HBM30%3E3.0.CO%3B2-8">https://onlinelibrary.wiley.com/doi/abs/10.1002/1097-0193%28200007%2910%3A3%3C120%3A%3AAID-HBM30%3E3.0.CO%3B2-8</a>, <a class="reference external" href="https://arxiv.org/abs/https://onlinelibrary.wiley.com/doi/pdf/10.1002/1097-0193%28200007%2910%3A3%3C120%3A%3AAID-HBM30%3E3.0.CO%3B2-8">arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/1097-0193%28200007%2910%3A3%3C120%3A%3AAID-HBM30%3E3.0.CO%3B2-8</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1002/1097-0193(200007)10:3<120::AID-HBM30>3.0.CO;2-8">doi:https://doi.org/10.1002/1097-0193(200007)10:3<120::AID-HBM30>3.0.CO;2-8</a>.</p></li>
<li id="id43"><p>Martin A. Lindquist, Stephan Geuter, Tor D. Wager, and Brian S. Caffo. Modular preprocessing pipelines can reintroduce artifacts into fmri data. <em>bioRxiv</em>, 2018. URL: <a class="reference external" href="https://www.biorxiv.org/content/early/2018/09/04/407676">https://www.biorxiv.org/content/early/2018/09/04/407676</a>, <a class="reference external" href="https://arxiv.org/abs/https://www.biorxiv.org/content/early/2018/09/04/407676.full.pdf">arXiv:https://www.biorxiv.org/content/early/2018/09/04/407676.full.pdf</a>, <a class="reference external" href="https://doi.org/10.1101/407676">doi:10.1101/407676</a>.</p></li>
<li id="id44"><p>Daniel S. Marcus, Tracy H. Wang, Jamie Parker, John G. Csernansky, John C. Morris, and Randy L. Buckner. Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults. <em>Journal of Cognitive Neuroscience</em>, 19(9):1498–1507, 09 2007. URL: <a class="reference external" href="https://doi.org/10.1162/jocn.2007.19.9.1498">https://doi.org/10.1162/jocn.2007.19.9.1498</a>, <a class="reference external" href="https://arxiv.org/abs/https://direct.mit.edu/jocn/article-pdf/19/9/1498/1756878/jocn.2007.19.9.1498.pdf">arXiv:https://direct.mit.edu/jocn/article-pdf/19/9/1498/1756878/jocn.2007.19.9.1498.pdf</a>, <a class="reference external" href="https://doi.org/10.1162/jocn.2007.19.9.1498">doi:10.1162/jocn.2007.19.9.1498</a>.</p></li>
<li id="id45"><p>Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, and Bertrand Thirion. Total variation regularization for fMRI-based prediction of behaviour. <em>IEEE Transactions on Medical Imaging</em>, 30(7):1328 – 1340, February 2011. URL: <a class="reference external" href="https://hal.inria.fr/inria-00563468">https://hal.inria.fr/inria-00563468</a>, <a class="reference external" href="https://doi.org/10.1109/TMI.2011.2113378">doi:10.1109/TMI.2011.2113378</a>.</p></li>
<li id="id46"><p>Yoichi Miyawaki, Hajime Uchida, Okito Yamashita, Masa-aki Sato, Yusuke Morito, Hiroki C. Tanabe, Norihiro Sadato, and Yukiyasu Kamitani. Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. <em>Neuron</em>, 60(5):915–929, 2008. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S0896627308009586">https://www.sciencedirect.com/science/article/pii/S0896627308009586</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuron.2008.11.004">doi:https://doi.org/10.1016/j.neuron.2008.11.004</a>.</p></li>
<li id="id48"><p>Thomas Naselaris, Kendrick N. Kay, Shinji Nishimoto, and Jack L. Gallant. Encoding and decoding in fmri. <em>NeuroImage</em>, 56(2):400–410, May 2011. 20691790[pmid]. URL: <a class="reference external" href="https://pubmed.ncbi.nlm.nih.gov/20691790">https://pubmed.ncbi.nlm.nih.gov/20691790</a>, <a class="reference external" href="https://doi.org/10.1016/j.neuroimage.2010.07.073">doi:10.1016/j.neuroimage.2010.07.073</a>.</p></li>
<li id="id47"><p>Jared Nielsen, Brandon Zielinski, P Fletcher, Andrew Alexander, Nicholas Lange, Erin Bigler, Janet Lainhart, and Jeffrey Anderson. Multisite functional connectivity mri classification of autism: abide results. <em>Frontiers in Human Neuroscience</em>, 7:599, 2013. URL: <a class="reference external" href="https://www.frontiersin.org/article/10.3389/fnhum.2013.00599">https://www.frontiersin.org/article/10.3389/fnhum.2013.00599</a>, <a class="reference external" href="https://doi.org/10.3389/fnhum.2013.00599">doi:10.3389/fnhum.2013.00599</a>.</p></li>
<li id="id49"><p>Kate Nooner, Stanley Colcombe, Russell Tobe, Maarten Mennes, Melissa Benedict, Alexis Moreno, Laura Panek, Shaquanna Brown, Stephen Zavitz, Qingyang Li, Sharad Sikka, David Gutman, Saroja Bangaru, Rochelle Tziona Schlachter, Stephanie Kamiel, Ayesha Anwar, Caitlin Hinz, Michelle Kaplan, Anna Rachlin, Samantha Adelsberg, Brian Cheung, Ranjit Khanuja, Chaogan Yan, Cameron Craddock, Vincent Calhoun, William Courtney, Margaret King, Dylan Wood, Christine Cox, Clare Kelly, Adriana DiMartino, Eva Petkova, Philip Reiss, Nancy Duan, Dawn Thompsen, Bharat Biswal, Barbara Coffey, Matthew Hoptman, Daniel Javitt, Nunzio Pomara, John Sidtis, Harold Koplewicz, Francisco Castellanos, Bennett Leventhal, and Michael Milham. The nki-rockland sample: a model for accelerating the pace of discovery science in psychiatry. <em>Frontiers in Neuroscience</em>, 6:152, 2012. URL: <a class="reference external" href="https://www.frontiersin.org/article/10.3389/fnins.2012.00152">https://www.frontiersin.org/article/10.3389/fnins.2012.00152</a>, <a class="reference external" href="https://doi.org/10.3389/fnins.2012.00152">doi:10.3389/fnins.2012.00152</a>.</p></li>
<li id="id59"><p>Jill X. O'Reilly, Christian F. Beckmann, Valentina Tomassini, Narender Ramnani, and Heidi Johansen-Berg. Distinct and Overlapping Functional Zones in the Cerebellum Defined by Resting State Functional Connectivity. <em>Cerebral Cortex</em>, 20(4):953–965, 08 2009. URL: <a class="reference external" href="https://doi.org/10.1093/cercor/bhp157">https://doi.org/10.1093/cercor/bhp157</a>, <a class="reference external" href="https://arxiv.org/abs/https://academic.oup.com/cercor/article-pdf/20/4/953/17303287/bhp157.pdf">arXiv:https://academic.oup.com/cercor/article-pdf/20/4/953/17303287/bhp157.pdf</a>, <a class="reference external" href="https://doi.org/10.1093/cercor/bhp157">doi:10.1093/cercor/bhp157</a>.</p></li>
<li id="id51"><p>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. <em>NeuroImage</em>, 171:415–436, May 2018. <a class="reference external" href="https://doi.org/10.1016/j.neuroimage.2017.12.073">doi:10.1016/j.neuroimage.2017.12.073</a>.</p></li>
<li id="id52"><p>Wolfgang M. Pauli, Amanda N. Nili, and J. Michael Tyszka. A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei. <em>Scientific Data</em>, 5(1):180063, Apr 2018. URL: <a class="reference external" href="https://doi.org/10.1038/sdata.2018.63">https://doi.org/10.1038/sdata.2018.63</a>, <a class="reference external" href="https://doi.org/10.1038/sdata.2018.63">doi:10.1038/sdata.2018.63</a>.</p></li>
<li id="id53"><p>Philippe Pinel, Bertrand Thirion, Sébastien Meriaux, Antoinette Jobert, Julien Serres, Denis Le Bihan, Jean-Baptiste Poline, and Stanislas Dehaene. Fast reproducible identification and large-scale databasing of individual functional cognitive networks. <em>BMC Neuroscience</em>, 2007.</p></li>
<li id="id54"><p>Jonathan D. Power. A simple but useful way to assess fmri scan qualities. <em>NeuroImage</em>, 154:150–158, 2017. Cleaning up the fMRI time series: Mitigating noise with advanced acquisition and correction strategies. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811916303871">https://www.sciencedirect.com/science/article/pii/S1053811916303871</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2016.08.009">doi:https://doi.org/10.1016/j.neuroimage.2016.08.009</a>.</p></li>
<li id="id56"><p>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. <em>NeuroImage</em>, 59(3):2142–2154, 2012. URL: <a class="reference external" href="http://www.ncbi.nlm.nih.gov/pubmed/22019881 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC3254728">http://www.ncbi.nlm.nih.gov/pubmed/22019881 http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC3254728</a>, <a class="reference external" href="https://doi.org/10.1016/j.neuroimage.2011.10.018">doi:10.1016/j.neuroimage.2011.10.018</a>.</p></li>
<li id="id55"><p>Jonathan D. Power, Alexander L. Cohen, Steven M. Nelson, Gagan S. Wig, Kelly Anne Barnes, Jessica A. Church, Alecia C. Vogel, Timothy O. Laumann, Fran M. Miezin, Bradley L. Schlaggar, and Steven E. Petersen. Functional network organization of the human brain. <em>Neuron</em>, 72(4):665–678, Nov 2011. URL: <a class="reference external" href="https://doi.org/10.1016/j.neuron.2011.09.006">https://doi.org/10.1016/j.neuron.2011.09.006</a>, <a class="reference external" href="https://doi.org/10.1016/j.neuron.2011.09.006">doi:10.1016/j.neuron.2011.09.006</a>.</p></li>
<li id="id57"><p>Jonathan D. Power, Anish Mitra, Timothy O. Laumann, Abraham Z. Snyder, Bradley L. Schlaggar, and Steven E. Petersen. Methods to detect, characterize, and remove motion artifact in resting state fMRI. <em>NeuroImage</em>, 84:320–341, 2014. URL: <a class="reference external" href="http://www.sciencedirect.com/science/article/pii/S1053811913009117">http://www.sciencedirect.com/science/article/pii/S1053811913009117</a>, <a class="reference external" href="https://doi.org/10.1016/j.neuroimage.2013.08.048">doi:10.1016/j.neuroimage.2013.08.048</a>.</p></li>
<li id="id58"><p>Raimon H. R. Pruim, Maarten Mennes, Daan van Rooij, Alberto Llera, Jan K. Buitelaar, and Christian F. Beckmann. ICA-AROMA: a robust ICA-based strategy for removing motion artifacts from fMRI data. <em>Neuroimage</em>, 112:267–277, 2015. <a class="reference external" href="https://doi.org/10.1016/j.neuroimage.2015.02.064">doi:10.1016/j.neuroimage.2015.02.064</a>.</p></li>
<li id="id60"><p>Hilary Richardson, Grace Lisandrelli, Alexa Riobueno-Naylor, and Rebecca Saxe. Development of the social brain from age three to twelve years. <em>Nature communications</em>, 9(1):1–12, 2018.</p></li>
<li id="id61"><p>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. <em>Cerebral Cortex</em>, 28(9):3095–3114, 07 2017. URL: <a class="reference external" href="https://doi.org/10.1093/cercor/bhx179">https://doi.org/10.1093/cercor/bhx179</a>, <a class="reference external" href="https://arxiv.org/abs/https://academic.oup.com/cercor/article-pdf/28/9/3095/25696344/bhx179\_schaeferfullsupp.pdf">arXiv:https://academic.oup.com/cercor/article-pdf/28/9/3095/25696344/bhx179\_schaeferfullsupp.pdf</a>, <a class="reference external" href="https://doi.org/10.1093/cercor/bhx179">doi:10.1093/cercor/bhx179</a>.</p></li>
<li id="id62"><p>Benjamin A. Seitzman, Caterina Gratton, Scott Marek, Ryan V. Raut, Nico U.F. Dosenbach, Bradley L. Schlaggar, Steven E. Petersen, and Deanna J. Greene. A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum. <em>NeuroImage</em>, 206:116290, 2020. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S105381191930881X">https://www.sciencedirect.com/science/article/pii/S105381191930881X</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2019.116290">doi:https://doi.org/10.1016/j.neuroimage.2019.116290</a>.</p></li>
<li id="id63"><p>Zarrar Shehzad, A. M. Clare Kelly, Philip T. Reiss, Dylan G. Gee, Kristin Gotimer, Lucina Q. Uddin, Sang Han Lee, Daniel S. Margulies, Amy Krain Roy, Bharat B. Biswal, Eva Petkova, F. Xavier Castellanos, and Michael P. Milham. The Resting Brain: Unconstrained yet Reliable. <em>Cerebral Cortex</em>, 19(10):2209–2229, 02 2009. URL: <a class="reference external" href="https://doi.org/10.1093/cercor/bhn256">https://doi.org/10.1093/cercor/bhn256</a>, <a class="reference external" href="https://arxiv.org/abs/https://academic.oup.com/cercor/article-pdf/19/10/2209/17300841/bhn256.pdf">arXiv:https://academic.oup.com/cercor/article-pdf/19/10/2209/17300841/bhn256.pdf</a>, <a class="reference external" href="https://doi.org/10.1093/cercor/bhn256">doi:10.1093/cercor/bhn256</a>.</p></li>
<li id="id65"><p>SM Smith, MF Glasser, E Robinson, G Salimi-Khorshidi, E Duff, DC Van Essen, MW Woolrich, M Jenkinson, and CF Beckmann. Methods for network modelling from high quality rfmri data. In <em>OHBM 2014 Annual Meeting</em>. 2014.</p></li>
<li id="id66"><p>Stephen M Smith, Thomas E Nichols, Diego Vidaurre, Anderson M Winkler, Timothy EJ Behrens, Matthew F Glasser, Kamil Ugurbil, Deanna M Barch, David C Van Essen, and Karla L Miller. A positive-negative mode of population covariation links brain connectivity, demographics and behavior. <em>Nature neuroscience</em>, 18(11):1565–1567, 2015.</p></li>
<li id="id64"><p>Stephen M. Smith, Peter T. Fox, Karla L. Miller, David C. Glahn, P. Mickle Fox, Clare E. Mackay, Nicola Filippini, Kate E. Watkins, Roberto Toro, Angela R. Laird, and Christian F. Beckmann. Correspondence of the brain\textquoteright s functional architecture during activation and rest. <em>Proceedings of the National Academy of Sciences</em>, 106(31):13040–13045, 2009. URL: <a class="reference external" href="https://www.pnas.org/content/106/31/13040">https://www.pnas.org/content/106/31/13040</a>, <a class="reference external" href="https://arxiv.org/abs/https://www.pnas.org/content/106/31/13040.full.pdf">arXiv:https://www.pnas.org/content/106/31/13040.full.pdf</a>, <a class="reference external" href="https://doi.org/10.1073/pnas.0905267106">doi:10.1073/pnas.0905267106</a>.</p></li>
<li id="id74"><p>B. T. Thomas Yeo, Fenna M. Krienen, Jorge Sepulcre, Mert R. Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L. Roffman, Jordan W. Smoller, Lilla Zöllei, Jonathan R. Polimeni, Bruce Fischl, Hesheng Liu, and Randy L. Buckner. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. <em>Journal of Neurophysiology</em>, 106(3):1125–1165, 2011. PMID: 21653723. URL: <a class="reference external" href="https://doi.org/10.1152/jn.00338.2011">https://doi.org/10.1152/jn.00338.2011</a>, <a class="reference external" href="https://arxiv.org/abs/https://doi.org/10.1152/jn.00338.2011">arXiv:https://doi.org/10.1152/jn.00338.2011</a>, <a class="reference external" href="https://doi.org/10.1152/jn.00338.2011">doi:10.1152/jn.00338.2011</a>.</p></li>
<li id="id68"><p>N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, and M. Joliot. Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain. <em>NeuroImage</em>, 15(1):273–289, 2002. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811901909784">https://www.sciencedirect.com/science/article/pii/S1053811901909784</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1006/nimg.2001.0978">doi:https://doi.org/10.1006/nimg.2001.0978</a>.</p></li>
<li id="id69"><p>Gael Varoquaux, Flore Baronnet, Andreas Kleinschmidt, Pierre Fillard, and Bertrand Thirion. Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling. In Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, and Max A. Viergever, editors, <em>Medical image computing and computer-assisted intervention - MICCAI 2010</em>, Lecture notes in computer science, 200–208. Berlin, Heidelberg, 2010. Springer. <a class="reference external" href="https://doi.org/10/cn2h9c">doi:10/cn2h9c</a>.</p></li>
<li id="id71"><p>Gael Varoquaux, Alexandre Gramfort, Fabian Pedregosa, Vincent Michel, and Bertrand Thirion. Multi-subject dictionary learning to segment an atlas of brain spontaneous activity. In <em>Information Processing in Medical Imaging</em>, 562–573. Berlin, Heidelberg, 2011. Springer Berlin Heidelberg.</p></li>
<li id="id72"><p>Gael Varoquaux, Alexandre Gramfort, Jean Baptiste Poline, and Bertrand Thirion. Brain covariance selection: better individual functional connectivity models using population prior. <em>arXiv:1008.5071 [q-bio, stat]</em>, 11 2010. URL: <a class="reference external" href="https://arxiv.org/abs/1008.5071">https://arxiv.org/abs/1008.5071</a>, <a class="reference external" href="https://arxiv.org/abs/1008.5071">arXiv:1008.5071</a>.</p></li>
<li id="id70"><p>Gaël Varoquaux and R. Cameron Craddock. Learning and comparing functional connectomes across subjects. <em>NeuroImage</em>, 80:405–415, 2013. Mapping the Connectome. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811913003340">https://www.sciencedirect.com/science/article/pii/S1053811913003340</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2013.04.007">doi:https://doi.org/10.1016/j.neuroimage.2013.04.007</a>.</p></li>
<li id="id73"><p>Tal Yarkoni, Russell A Poldrack, Thomas E Nichols, David C Van Essen, and Tor D Wager. Large-scale automated synthesis of human functional neuroimaging data. <em>Nature methods</em>, 8(8):665–670, 2011.</p></li>
<li id="id76"><p>Xi-Nian Zuo, Clare Kelly, Jonathan S. Adelstein, Donald F. Klein, F. Xavier Castellanos, and Michael P. Milham. Reliable intrinsic connectivity networks: test–retest evaluation using ica and dual regression approach. <em>NeuroImage</em>, 49(3):2163–2177, 2010. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811909011525">https://www.sciencedirect.com/science/article/pii/S1053811909011525</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2009.10.080">doi:https://doi.org/10.1016/j.neuroimage.2009.10.080</a>.</p></li>
<li id="id75"><p>Xi-Nian Zuo, Adriana Di Martino, Clare Kelly, Zarrar E. Shehzad, Dylan G. Gee, Donald F. Klein, F. Xavier Castellanos, Bharat B. Biswal, and Michael P. Milham. The oscillating brain: complex and reliable. <em>NeuroImage</em>, 49(2):1432–1445, 2010. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811909010167">https://www.sciencedirect.com/science/article/pii/S1053811909010167</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2009.09.037">doi:https://doi.org/10.1016/j.neuroimage.2009.09.037</a>.</p></li>
<li id="id50"><p>Dimitri Papadopoulos Orfanos, Vincent Michel, Yannick Schwartz, Philippe Pinel, Antonio Moreno, Denis Le Bihan, and Vincent Frouin. The brainomics/localizer database. <em>NeuroImage</em>, 144:309–314, 2017. Data Sharing Part II. URL: <a class="reference external" href="https://www.sciencedirect.com/science/article/pii/S1053811915008745">https://www.sciencedirect.com/science/article/pii/S1053811915008745</a>, <a class="reference external" href="https://doi.org/https://doi.org/10.1016/j.neuroimage.2015.09.052">doi:https://doi.org/10.1016/j.neuroimage.2015.09.052</a>.</p></li>
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