{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T17:08:42Z","timestamp":1789664922157,"version":"4.0.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T00:00:00Z","timestamp":1575936000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T00:00:00Z","timestamp":1575936000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000025","name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health","doi-asserted-by":"publisher","award":["T32MH018931"],"award-info":[{"award-number":["T32MH018931"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health","doi-asserted-by":"publisher","award":["T32MH018931"],"award-info":[{"award-number":["T32MH018931"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["OPP1033728"],"award-info":[{"award-number":["OPP1033728"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]},{"name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health"},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Mindfulness training has been shown to improve attention and change the underlying brain substrates in adults. Most mindfulness training programs involve a myriad of techniques, and it is difficult to attribute changes to any particular aspect of the program. Here, we created a video game, Tenacity, which models a specific mindfulness technique \u2013 focused attention on one\u2019s breathing \u2013 and assessed its potential to train an attentional network in adolescents. A combined analysis of resting state functional connectivity (rs-FC) and diffusion tensor imaging (DTI) yielded convergent results \u2013 change in communication within the left fronto-parietal network after two weeks of playing Tenacity compared to a control game. Rs-FC analysis showed greater connectivity between left dorsolateral prefrontal cortex (dlPFC) and left inferior parietal cortex (IPC) in the Tenacity group. Importantly, changes in left dlPFC \u2013 IPC rs-FC and changes in structural connectivity of the white matter tract that connects these regions \u2013left superior longitudinal fasiculus (SLF) \u2013 were associated with changes in performance on an attention task. Finally, changes in left dlPFC \u2013 IPC rs-FC correlated with the change in left SLF structural connectivity as measured by fractional anisotropy (FA) in the Tenacity group only.<\/jats:p>","DOI":"10.1038\/s41598-019-53393-x","type":"journal-article","created":{"date-parts":[[2019,12,10]],"date-time":"2019-12-10T11:03:32Z","timestamp":1575975812000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Mindfulness video game improves connectivity of the fronto-parietal attentional network in adolescents: A multi-modal imaging study"],"prefix":"10.1038","volume":"9","author":[{"given":"Elena G.","family":"Patsenko","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nagesh","family":"Adluru","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rasmus M.","family":"Birn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diane E.","family":"Stodola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0999-1424","authenticated-orcid":false,"given":"Tammi R. A.","family":"Kral","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Farajian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Flook","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cory A.","family":"Burghy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Constance","family":"Steinkuehler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard J.","family":"Davidson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,12,10]]},"reference":[{"key":"53393_CR1","unstructured":"Essential Facts About the Computer and Video Game Industry. Entertainment Software Association, https:\/\/www.theesa.com\/esa-research\/2019-essential-facts-about-the-computer-and-video-game-industry\/ (2019)."},{"key":"53393_CR2","unstructured":"Lehnhart A. et al. Teens, Video Games and Civics. Pew Research Center. Internet, Science & Tech, https:\/\/www.pewinternet.org\/2008\/09\/16\/teens-video-games-and-civics\/ (2008)."},{"key":"53393_CR3","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1007\/s10956-013-9466-4","volume":"23","author":"J Corredor","year":"2014","unstructured":"Corredor, J., Gaydos, M. & Squire, K. Seeing change in time: video games to teach about temporal change in scientific phenomena. J Sci Educ Technol 23, 324\u2013343 (2014).","journal-title":"J Sci Educ Technol"},{"key":"53393_CR4","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1080\/00221320209598683","volume":"163","author":"R De Lisi","year":"2002","unstructured":"De Lisi, R. & Wolford, J. L. Improving children\u2019s mental rotation accuracy with computer game playing. J of Genet Psychol 163, 272\u2013282 (2002).","journal-title":"J of Genet Psychol"},{"key":"53393_CR5","doi-asserted-by":"publisher","first-page":"1465","DOI":"10.1037\/0096-1523.32.6.1465","volume":"32","author":"CS Green","year":"2006","unstructured":"Green, C. S. & Bavelier, D. Effect of action video games on the spatial distribution of visuospatial attention. J Exp Psychol Hum Percept Perform 32, 1465\u20131478 (2006).","journal-title":"J Exp Psychol Hum Percept Perform"},{"key":"53393_CR6","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.3758\/s13423-013-0418-z","volume":"20","author":"KL Powers","year":"2013","unstructured":"Powers, K. L., Brooks, P. J., Aldrich, N. J., Palladino, M. A. & Alfieri, L. Effects of video-game play on information processing: a meta analytic investigation. Psychon. Bull. Rev. 20, 1055\u20131079 (2013).","journal-title":"Psychon. Bull. Rev."},{"issue":"9","key":"53393_CR7","doi-asserted-by":"publisher","first-page":"2228","DOI":"10.1037\/a0037318","volume":"50","author":"SWC Nikkelen","year":"2014","unstructured":"Nikkelen, S. W. C., Valkenburg, P. M., Huizinga, M. & Bushman, B. J. Media use and ADHD-related behaviors in children and adolescents: A meta-analysis. Developmental Psychology 50(9), 2228\u20132241 (2014).","journal-title":"Developmental Psychology"},{"issue":"4","key":"53393_CR8","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.tics.2008.01.005","volume":"12","author":"A Lutz","year":"2008","unstructured":"Lutz, A., Slagter, H., Dunne, J. & Davidson, R. J. Attention regulation and monitoring in meditation. Trends Cogn Sci 12(4), 163\u2013169 (2008).","journal-title":"Trends Cogn Sci"},{"key":"53393_CR9","doi-asserted-by":"publisher","first-page":"1202","DOI":"10.3389\/fpsyg.2014.01202","volume":"5","author":"DB Levinson","year":"2014","unstructured":"Levinson, D. B., Kindy, S., Merry, H. & Davidson, R. J. A mind you can count on: validating breath counting as a behavioral measure of mindfulness. Front Psychol 5, 1202 (2014).","journal-title":"Front Psychol"},{"issue":"43","key":"53393_CR10","doi-asserted-by":"publisher","first-page":"17152","DOI":"10.1073\/pnas.0707678104","volume":"104","author":"YY Tang","year":"2007","unstructured":"Tang, Y. Y. et al. Short-term meditation training improves attention and self-regulation. Proc Natl Acad Sci USA 104(43), 17152\u201317156 (2007).","journal-title":"Proc Natl Acad Sci USA"},{"issue":"35","key":"53393_CR11","doi-asserted-by":"publisher","first-page":"15649","DOI":"10.1073\/pnas.1011043107","volume":"107","author":"YY Tang","year":"2010","unstructured":"Tang, Y. Y. et al. Short-term meditation induces white matter changes in the anterior cingulate. Proc Natl Acad Sci USA 107(35), 15649\u201315652 (2010).","journal-title":"Proc Natl Acad Sci USA"},{"issue":"26","key":"53393_CR12","doi-asserted-by":"publisher","first-page":"10570","DOI":"10.1073\/pnas.1207817109","volume":"109","author":"YY Tang","year":"2012","unstructured":"Tang, Y. Y. et al. Mechanisms of white matter changes induced by meditation. Proc Natl Acad Sci USA 109(26), 10570\u201310574 (2012).","journal-title":"Proc Natl Acad Sci USA"},{"issue":"42","key":"53393_CR13","doi-asserted-by":"publisher","first-page":"13418","DOI":"10.1523\/JNEUROSCI.1614-09.2009","volume":"29","author":"A Lutz","year":"2009","unstructured":"Lutz, A. et al. Mental training enhances attentional stability: neural and behavioral evidence. J Neurosci 29(42), 13418\u201313427 (2009).","journal-title":"J Neurosci"},{"issue":"6","key":"53393_CR14","doi-asserted-by":"publisher","first-page":"e97551","DOI":"10.1371\/journal.pone.0097551","volume":"9","author":"DG MacCoon","year":"2014","unstructured":"MacCoon, D. G., MacLean, K. A., Davidson, R. J., Saron, C. D. & Lutz, A. No sustained attention differences in a longitudinal randomized trial comparing mindfulness based stress reduction versus active control. PLOS 9(6), e97551 (2014).","journal-title":"PLOS"},{"issue":"44","key":"53393_CR15","doi-asserted-by":"publisher","first-page":"15601","DOI":"10.1523\/JNEUROSCI.2957-12.2012","volume":"32","author":"M Allen","year":"2012","unstructured":"Allen, M. et al. Cognitive-affective neural plasticity following active-controlled mindfulmess Intervention. J Neurosci 32(44), 15601\u201315610 (2012).","journal-title":"J Neurosci"},{"issue":"27","key":"53393_CR16","doi-asserted-by":"publisher","first-page":"11483","DOI":"10.1073\/pnas.0606552104","volume":"104","author":"JA Brefczynski-Lewis","year":"2007","unstructured":"Brefczynski-Lewis, J. A., Lutz, A., Schaefer, H. S., Levinson, D. B. & Davidson, R. J. Neural correlates of attentional expertise in long-term meditation practitioners. Proc Natl Acad Sci USA 104(27), 11483\u201311488 (2007).","journal-title":"Proc Natl Acad Sci USA"},{"issue":"4","key":"53393_CR17","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1038\/nrn3916","volume":"16","author":"YY Tang","year":"2015","unstructured":"Tang, Y. Y., Holzel, B. K. & Posner, M. I. The neuroscience of mindfulness meditation. Nat Rev Neurosci 16(4), 213\u2013225 (2015).","journal-title":"Nat Rev Neurosci"},{"issue":"1","key":"53393_CR18","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1109\/MSP.2008.4431873","volume":"25","author":"RJ Davidson","year":"2008","unstructured":"Davidson, R. J. & Lutz, A. Buddha\u2019s brain: neuroplasticity and meditation. IEEE Signal Process Mag 25(1), 176\u2013174 (2008).","journal-title":"IEEE Signal Process Mag"},{"key":"53393_CR19","doi-asserted-by":"publisher","first-page":"252","DOI":"10.3389\/fnbeh.2015.00252","volume":"9","author":"SJ Taylor","year":"2015","unstructured":"Taylor, S. J., Barker, L. A., Heavey, L. & McHale, S. The longitudinal development of social and executive functions in late adolescence and early adulthood. Front Behav Neurosci. 9, 252 (2015).","journal-title":"Front Behav Neurosci."},{"key":"53393_CR20","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1016\/j.adolescence.2009.10.002","volume":"33","author":"ECE Magar","year":"2010","unstructured":"Magar, E. C. E., Phillips, L. H. & Hosie, J. A. Brief report: cognitive-regulation across the adolescent years. J. Adolesc. 33, 779\u2013781 (2010).","journal-title":"J. Adolesc."},{"issue":"4","key":"53393_CR21","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1207\/s15324826an1204_2","volume":"12","author":"CB Romine","year":"2005","unstructured":"Romine, C. B. & Reynolds, C. R. A model of the development of frontal lobe functioning: findings from a meta-analysis. Appl Neuropscychol 12(4), 190\u2013201 (2005).","journal-title":"Appl Neuropscychol"},{"issue":"9","key":"53393_CR22","doi-asserted-by":"publisher","first-page":"2122","DOI":"10.1093\/cercor\/bhp282","volume":"20","author":"MR Asato","year":"2010","unstructured":"Asato, M. R., Terwilliger, R., Woo, J. & Luna, B. White matter development in adolescence: a DTI study. Cereb Cortex 20(9), 2122\u20132131 (2010).","journal-title":"Cereb Cortex"},{"issue":"12","key":"53393_CR23","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1002\/hbm.20237","volume":"27","author":"K Rubia","year":"2006","unstructured":"Rubia, K. et al. Progressive increase of frontostriatal brain activation from childhood to adulthood during event-related task of cognitive control. Hum Brain Mapp 27(12), 973\u2013993 (2006).","journal-title":"Hum Brain Mapp"},{"issue":"3","key":"53393_CR24","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.dcn.2012.02.001","volume":"2","author":"C Wendelken","year":"2012","unstructured":"Wendelken, C., Munakata, Y., Baym, C., Souza, M. & Bunge, S. A. Flexible rule use: common neural substrates in children and adults. Dev Cogn Neurosci 2(3), 329\u2013339 (2012).","journal-title":"Dev Cogn Neurosci"},{"issue":"2","key":"53393_CR25","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/S0896-6273(01)00583-9","volume":"33","author":"SA Bunge","year":"2002","unstructured":"Bunge, S. A., Dudukovic, N. M., Thomason, M. E., Vaidya, C. J. & Gabrieli, J. D. E. Immature Frontal lobe contributions to cognitive control in children: evidence from fMRI. Neuron 33(2), 301\u2013311 (2002).","journal-title":"Neuron"},{"issue":"1","key":"53393_CR26","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.cogbrainres.2003.09.003","volume":"18","author":"PJ Olesen","year":"2004","unstructured":"Olesen, P. J., Nagy, Z., Westerberg, H. & Klingberg, T. Combined analysis of DTI and fMRI data reveals a joint maturation of white and grey matter in a fronto-parietal network. Cogn Brain Res 18(1), 48\u201357 (2004).","journal-title":"Cogn Brain Res"},{"issue":"5","key":"53393_CR27","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1162\/jocn.2007.19.5.750","volume":"19","author":"F Edin","year":"2007","unstructured":"Edin, F., Macoveanu, J., Olesen, P. J., Tegner, J. & Klingberg, T. Stronger synaptic connectivity as a mechanism behind development of working memory-related brain activity during childhood. J Cog Neurosci 19(5), 750\u2013760 (2007).","journal-title":"J Cog Neurosci"},{"key":"53393_CR28","first-page":"21","volume":"4","author":"LQ Uddin","year":"2010","unstructured":"Uddin, L. Q., Supekar, K. & Menon, V. Typical and atypical development of functional human brain networks: insights from resting-state fMRI. Front Syst Neuroci 4, 21 (2010).","journal-title":"Front Syst Neuroci"},{"key":"53393_CR29","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-02266-2","volume":"7","author":"S Song","year":"2017","unstructured":"Song, S. et al. The influence of emotional interference on cognitive control: A meta-analysis of neuroimaging studies using the emotional Stroop task. Sci Rep 7, 2088 (2017).","journal-title":"Sci Rep"},{"issue":"1","key":"53393_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3758\/CABN.7.1.1","volume":"7","author":"DE Nee","year":"2007","unstructured":"Nee, D. E., Wager, T. D. & Jonides, J. Interference resolution: Insight from a meta-analysis of neuroimaging tasks. Cogn Affect Behav Neurosci 7(1), 1\u201317 (2007).","journal-title":"Cogn Affect Behav Neurosci"},{"issue":"6","key":"53393_CR31","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1016\/j.neuron.2006.07.029","volume":"51","author":"A Etkin","year":"2006","unstructured":"Etkin, A., Egner, T., Peraza, D. M., Kandel, E. R. & Hirsch, J. Resolving emotional conflict: a role for the rostral anterior cingulate cortex in modulating activity in the amygdala. Neuron 51(6), 871\u2013882 (2006).","journal-title":"Neuron"},{"key":"53393_CR32","first-page":"327","volume":"4","author":"M Strollstorff","year":"2013","unstructured":"Strollstorff, M. et al. Individual differences in emotion-cognition interactions: emotional valence interacts with serotonin transporter genotype to influence brain systems involved in emotional reactivity and cognitive control. Front Hum Neurosci 4, 327 (2013).","journal-title":"Front Hum Neurosci"},{"key":"53393_CR33","doi-asserted-by":"publisher","first-page":"151","DOI":"10.3389\/fnhum.2013.00151","volume":"7","author":"M McHugo","year":"2013","unstructured":"McHugo, M., Olatunji, B. O. & Zald, D. H. The emotional attentional blink: what we know so far. Front Hum Neurosci 7, 151 (2013).","journal-title":"Front Hum Neurosci"},{"issue":"3","key":"53393_CR34","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1038\/nrn2994","volume":"12","author":"AJ Shackman","year":"2011","unstructured":"Shackman, A. J. et al. The integration of negative affect, pain, and cognitive control in the cingulate cortex. Nat. Rev. Neurosci. 12(3), 154\u2013167 (2011).","journal-title":"Nat. Rev. Neurosci."},{"key":"53393_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fnhum.2015.00058","volume":"9","author":"H Okon-Singer","year":"2015","unstructured":"Okon-Singer, H., Hendler, T., Pessoa, L. & Shackman, A. J. The neurobiology of emotion-cognition interactions: fundamental questions and strategies for future research. Front Hum Neurosci 9, 1\u201314 (2015).","journal-title":"Front Hum Neurosci"},{"key":"53393_CR36","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.neuroimage.2005.02.004","volume":"26","author":"J Fan","year":"2005","unstructured":"Fan, J., McCandliss, B. D., Fossella, J., Flombaum, J. I. & Posner, M. I. The activation of attentional networks. Neuroimage 26, 471\u2013479 (2005).","journal-title":"Neuroimage"},{"key":"53393_CR37","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1016\/j.neuroimage.2008.07.039","volume":"43","author":"S Neufang","year":"2008","unstructured":"Neufang, S., Fink, G. R., Herpertz-Dahlmann, B., Willmes, K. & Konrad, K. Developmental changes in neural activation and psychophysiological interaction patterns of brain regions associated with interference control and time perception. Neuroimage 43, 399\u2013409 (2008).","journal-title":"Neuroimage"},{"issue":"3","key":"53393_CR38","doi-asserted-by":"publisher","first-page":"1040","DOI":"10.1002\/mrm.25674","volume":"75","author":"S Kecskemeti","year":"2016","unstructured":"Kecskemeti, S. et al. MPhRAGE: A technique to simultaneously acquire hundreds of differently contrasted MPRAGE images with applications to quantitative T1 mapping. Magn Reson Med 75(3), 1040\u20131053 (2016).","journal-title":"Magn Reson Med"},{"issue":"3","key":"53393_CR39","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1006\/cbmr.1996.0014","volume":"29","author":"RW Cox","year":"1996","unstructured":"Cox, R. W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res. 29(3), 162\u201373 (1996).","journal-title":"Comput Biomed Res."},{"key":"53393_CR40","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith, S. M. et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, S208\u2013S219 (2004).","journal-title":"Neuroimage"},{"key":"53393_CR41","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","volume":"62","author":"M Jenkinson","year":"2012","unstructured":"Jenkinson, M., Beckmann, C. F., Behrens, T. E., Woolrich, M. W. & Smith, S. M. FSL. Neuroimage 62, 782\u2013790 (2012).","journal-title":"Neuroimage"},{"key":"53393_CR42","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1016\/j.neuroimage.2012.03.072","volume":"61","author":"H Zhang","year":"2012","unstructured":"Zhang, H., Schneider, T., Wheeler-Kingshott, C. A. & Alexander, D. C. NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 61, 1000\u20131016 (2012).","journal-title":"Neuroimage"},{"issue":"3","key":"53393_CR43","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1016\/j.nurt.2007.05.011","volume":"4","author":"AL Alexander","year":"2007","unstructured":"Alexander, A. L., Lee, J. E., Lazar, M. & Field, A. S. Diffusion tensor Imaging of the brain. Neurotherapeutics 4(3), 316\u2013329 (2007).","journal-title":"Neurotherapeutics"},{"issue":"1","key":"53393_CR44","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","volume":"38","author":"J Ashburner","year":"2007","unstructured":"Ashburner, J. A fast diffeomorphic image registration algorithm. Neuroimage 38(1), 95\u2013113 (2007).","journal-title":"Neuroimage"},{"key":"53393_CR45","doi-asserted-by":"crossref","unstructured":"Avants, B. B., Tustison, N. J., Song, G. & Gee, J. C. ANTS: Advanced Open-Source Normalization Tools for Neuroanatomy. Penn Image Computing and Science Laboratory (2009).","DOI":"10.54294\/uvnhin"},{"key":"53393_CR46","doi-asserted-by":"publisher","first-page":"S173","DOI":"10.1016\/j.neuroimage.2008.10.055","volume":"45","author":"MW Woolrich","year":"2009","unstructured":"Woolrich, M. W. et al. Bayesian analysis of neuroimaging data in FSL. Neuorimage 45, S173\u201386 (2009).","journal-title":"Neuorimage"},{"key":"53393_CR47","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y Zhang","year":"2001","unstructured":"Zhang, Y., Brady, M. & Smith, S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. Med Imag, IEEE Trans. 20, 45\u201357 (2001).","journal-title":"Med Imag, IEEE Trans."},{"issue":"3","key":"53393_CR48","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1002\/mrm.1910350312","volume":"35","author":"KJ Friston","year":"1996","unstructured":"Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. & Turner, R. Movement-related effects in fMRI time-series. Magn Reson Med. 35(3), 346\u201355 (1996).","journal-title":"Magn Reson Med."},{"issue":"4","key":"53393_CR49","doi-asserted-by":"publisher","first-page":"1408","DOI":"10.1016\/j.neuroimage.2009.05.005","volume":"47","author":"A Weissenbacher","year":"2009","unstructured":"Weissenbacher, A. et al. Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies. Neuroimage 47(4), 1408\u201316 (2009).","journal-title":"Neuroimage"},{"key":"53393_CR50","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1002\/mrm.1910340409","volume":"34","author":"B Biswal","year":"1995","unstructured":"Biswal, B., Yetkin, F. Z., Haughton, V. M. & Hyde, J. S. Functional connectivity in the motor cortex of resting human brain using echo-planar mri. Mag Res Med. 34, 537\u2013541 (1995).","journal-title":"Mag Res Med."},{"key":"53393_CR51","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.neuroimage.2013.01.044","volume":"72","author":"S Keihaninejad","year":"2013","unstructured":"Keihaninejad, S. et al. An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer\u2019s disease. Neuroimage 72, 153\u2013163 (2013).","journal-title":"Neuroimage"},{"issue":"1","key":"53393_CR52","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.neuroimage.2010.07.033","volume":"54","author":"V Fonov","year":"2011","unstructured":"Fonov, V. et al. Unbiased average age-appropriate atlases for pediatric studies. Neuroimage 54(1), 313\u2013327 (2011).","journal-title":"Neuroimage"},{"issue":"1","key":"53393_CR53","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","volume":"12","author":"BB Avants","year":"2008","unstructured":"Avants, B. B., Epstein, C. L., Grossman, M. & Gee, J. C. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med image anal 12(1), 26\u201341 (2008).","journal-title":"Med image anal"},{"key":"53393_CR54","unstructured":"Mori, S., Wakana, S., VanZijl, P. C. & Nagae-Poetscher, L. MRI atlas of human white matter. Am Soc Neuroradiology, 16 (2005)."}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-019-53393-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-019-53393-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-019-53393-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T17:16:30Z","timestamp":1671297390000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-019-53393-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,10]]},"references-count":54,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,12]]}},"alternative-id":["53393"],"URL":"https:\/\/doi.org\/10.1038\/s41598-019-53393-x","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,10]]},"assertion":[{"value":"21 January 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 December 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Dr. Richard J. Davidson is the founder, president, and serves on the board of directors for the non-profit organization, Healthy Minds Innovations, Inc. No donors, either anonymous or identified, have participated in the design, conduct, or reporting of research results in this manuscript. The remaining authors declare no potential conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"18667"}}