Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan
•The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data.•Prospective harmonization of MRI was achieved by standardizing scanning protocols.•The preliminary data showed moderate reliability of brain connectome data.•Completing traveling subject plan will allow robust statis...
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| Published in | NeuroImage clinical Vol. 30; p. 102600 |
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| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier Inc
01.01.2021
Elsevier |
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| Online Access | Get full text |
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| Abstract | •The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data.•Prospective harmonization of MRI was achieved by standardizing scanning protocols.•The preliminary data showed moderate reliability of brain connectome data.•Completing traveling subject plan will allow robust statistical harmonization.•Scanning protocols are publicly available and data will also be shared by 2024.
Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. A high-quality scanning protocol, Harmonization Protocol (HARP), was established for five high-quality 3 T scanners to obtain multimodal brain images including T1 and T2-weighted, resting-state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, suggesting sensitivity to subject-specific connectome. A total of 75 TS and more than two thousand patients with various psychiatric and neurological disorders are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a prospective, multi-level harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice. |
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| AbstractList | •
The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data.
•
Prospective harmonization of MRI was achieved by standardizing scanning protocols.
•
The preliminary data showed moderate reliability of brain connectome data.
•
Completing traveling subject plan will allow robust statistical harmonization.
•
Scanning protocols are publicly available and data will also be shared by 2024.
Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. A high-quality scanning protocol, Harmonization Protocol (HARP), was established for five high-quality 3 T scanners to obtain multimodal brain images including T1 and T2-weighted, resting-state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, suggesting sensitivity to subject-specific connectome. A total of 75 TS and more than two thousand patients with various psychiatric and neurological disorders are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a prospective, multi-level harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice. Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. A high-quality scanning protocol, Harmonization Protocol (HARP), was established for five high-quality 3 T scanners to obtain multimodal brain images including T1 and T2-weighted, resting-state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, suggesting sensitivity to subject-specific connectome. A total of 75 TS and more than two thousand patients with various psychiatric and neurological disorders are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a prospective, multi-level harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice. Highlights•The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data. •Prospective harmonization of MRI was achieved by standardizing scanning protocols. •The preliminary data showed moderate reliability of brain connectome data. •Completing traveling subject plan will allow robust statistical harmonization. •Scanning protocols are publicly available and data will also be shared by 2024. Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. A high-quality scanning protocol, Harmonization Protocol (HARP), was established for five high-quality 3 T scanners to obtain multimodal brain images including T1 and T2-weighted, resting-state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, suggesting sensitivity to subject-specific connectome. A total of 75 TS and more than two thousand patients with various psychiatric and neurological disorders are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a prospective, multi-level harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice.Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. A high-quality scanning protocol, Harmonization Protocol (HARP), was established for five high-quality 3 T scanners to obtain multimodal brain images including T1 and T2-weighted, resting-state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, suggesting sensitivity to subject-specific connectome. A total of 75 TS and more than two thousand patients with various psychiatric and neurological disorders are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a prospective, multi-level harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice. •The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data.•Prospective harmonization of MRI was achieved by standardizing scanning protocols.•The preliminary data showed moderate reliability of brain connectome data.•Completing traveling subject plan will allow robust statistical harmonization.•Scanning protocols are publicly available and data will also be shared by 2024. Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance imaging (MRI) studies have been conducted; however, imaging-based biomarkers are not yet well established for diagnostic and therapeutic use. This article describes an outline of the planned study, the Brain/MINDS Beyond human brain MRI project (BMB-HBM, FY2018 ~ FY2023), which aims to establish clinically-relevant imaging biomarkers with multi-site harmonization by collecting data from healthy traveling subjects (TS) at 13 research sites. Collection of data in psychiatric and neurological disorders across the lifespan is also scheduled at 13 sites, whereas designing measurement procedures, developing and analyzing neuroimaging protocols, and databasing are done at three research sites. A high-quality scanning protocol, Harmonization Protocol (HARP), was established for five high-quality 3 T scanners to obtain multimodal brain images including T1 and T2-weighted, resting-state and task functional and diffusion-weighted MRI. Data are preprocessed and analyzed using approaches developed by the Human Connectome Project. Preliminary results in 30 TS demonstrated cortical thickness, myelin, functional connectivity measures are comparable across 5 scanners, suggesting sensitivity to subject-specific connectome. A total of 75 TS and more than two thousand patients with various psychiatric and neurological disorders are scheduled to participate in the project, allowing a mixed model statistical harmonization. The HARP protocols are publicly available online, and all the imaging, demographic and clinical information, harmonizing database will also be made available by 2024. To the best of our knowledge, this is the first project to implement a prospective, multi-level harmonization protocol with multi-site TS data. It explores intractable brain disorders across the lifespan and may help to identify the disease-specific pathophysiology and imaging biomarkers for clinical practice. |
| ArticleNumber | 102600 |
| Author | Autio, Joonas Glasser, Matthew F. Morita, Kentaro Sadato, Norihiro Urushibata, Yuta Aso, Toshihiko Hanakawa, Takashi Araki, Toshiyuki Maruyama, Megumi Murata, Katsutoshi Tanaka, Saori C. Asano, Michiko Fukunaga, Masaki Hayashi, Takuya Koike, Shinsuke Ose, Takayuki Yamashita, Ayumu Kasai, Kiyoto Okamoto, Yasumasa Yoshimoto, Junichiro Kawato, Mitsuo Okada, Tomohisa Togo, Hiroki Okada, Naohiro Maikusa, Norihide Miyazaki, Atsushi Yamashita, Okito Uematsu, Akiko Van Essen, David C. |
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Shinagawa-ku, Tokyo 141-8644, Japan – sequence: 16 givenname: Yuta surname: Urushibata fullname: Urushibata, Yuta organization: Siemens Healthcare K.K. Shinagawa-ku, Tokyo 141-8644, Japan – sequence: 17 givenname: Joonas surname: Autio fullname: Autio, Joonas organization: Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Hyogo 650-0047, Japan – sequence: 18 givenname: Takayuki surname: Ose fullname: Ose, Takayuki organization: Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Hyogo 650-0047, Japan – sequence: 19 givenname: Junichiro surname: Yoshimoto fullname: Yoshimoto, Junichiro organization: Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto 619-0288, Japan – sequence: 20 givenname: Toshiyuki surname: Araki fullname: Araki, Toshiyuki organization: Department of Peripheral Nervous System Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8551, Japan – sequence: 21 givenname: Matthew F. surname: Glasser fullname: Glasser, Matthew F. organization: Department of Neuroscience, Washington University School of Medicine, St Louis, MO USA – sequence: 22 givenname: David C. surname: Van Essen fullname: Van Essen, David C. organization: Department of Neuroscience, Washington University School of Medicine, St Louis, MO USA – sequence: 23 givenname: Megumi surname: Maruyama fullname: Maruyama, Megumi organization: Research Enhancement Strategy Office, National Institute for Physiological Sciences, Okazaki 444-8585, Japan – sequence: 24 givenname: Norihiro surname: Sadato fullname: Sadato, Norihiro organization: Division of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki 444-8585, Japan – sequence: 25 givenname: Mitsuo surname: Kawato fullname: Kawato, Mitsuo organization: Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institutes International (ATR), Kyoto 619-0288, Japan – sequence: 26 givenname: Kiyoto surname: Kasai fullname: Kasai, Kiyoto organization: University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Meguro-ku, Tokyo 153-8902, Japan – sequence: 27 givenname: Yasumasa surname: Okamoto fullname: Okamoto, Yasumasa organization: Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima 734-8551, Japan – sequence: 28 givenname: Takashi surname: Hanakawa fullname: Hanakawa, Takashi organization: Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira-shi, Tokyo 187-8551, Japan – sequence: 29 givenname: Takuya orcidid: 0000-0001-7639-0197 surname: Hayashi fullname: Hayashi, Takuya email: takuya.hayashi@riken.jp organization: Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Hyogo 650-0047, Japan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33741307$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1038/s41537-016-0002-4 10.1016/j.pneurobio.2011.09.005 10.1038/nn.4393 10.1016/j.dcn.2018.03.001 10.1093/ije/dyz033 10.3233/JAD-161080 10.1016/j.neuroimage.2012.01.021 10.1016/j.neuroimage.2012.02.018 10.1002/mrm.10609 10.1038/nm.4246 10.1016/j.jalz.2018.03.009 10.1038/nature18933 10.1038/ncomms11254 10.1016/S1053-8119(03)00336-7 10.1016/j.neuroimage.2013.11.046 10.1016/j.neuron.2019.01.006 10.1016/j.neuroimage.2012.03.072 10.1038/mp.2017.73 10.1016/j.schres.2012.11.012 10.1016/j.neuroimage.2018.04.076 10.1093/brain/awv111 10.1038/nn.4361 10.1016/j.neuroimage.2017.02.085 10.1523/JNEUROSCI.2180-11.2011 10.1016/S0140-6736(12)61689-4 10.1038/nn.4125 10.1016/j.neuroimage.2020.116604 10.1016/j.biopsych.2018.03.012 10.1016/j.neuroimage.2020.116619 10.1038/mp.2016.60 10.1016/j.neuroimage.2013.07.055 10.1016/j.neuroimage.2015.10.013 10.1038/mp.2015.209 10.1016/j.neuroimage.2017.11.024 10.1016/j.neuroimage.2019.03.060 10.1073/pnas.1801582115 10.1073/pnas.200033797 10.1111/desc.12168 10.1016/j.neuroimage.2013.05.077 10.1002/mrm.23097 10.1016/j.neuroimage.2015.10.019 10.1111/pcn.12814 10.1371/journal.pbio.3000966 10.1523/JNEUROSCI.0493-16.2016 10.1016/j.neuroimage.2021.117726 10.1093/cercor/bhaa097 10.1016/j.neuroimage.2020.117128 10.3389/fnagi.2019.00259 10.1016/j.neuroimage.2018.10.009 10.1038/s41586-018-0571-7 10.1016/j.neuroimage.2018.02.017 10.1016/j.neuroimage.2016.07.018 10.1016/j.neuroimage.2016.04.014 10.1038/s41597-020-0493-8 10.1371/journal.pbio.3000042 10.1016/j.neuroimage.2017.08.047 10.1016/j.pneurobio.2009.07.010 10.1016/j.jalz.2014.11.001 10.1016/j.neuroimage.2018.08.050 10.1371/journal.pmed.0050141 10.1038/mp.2015.69 10.1016/j.neuroimage.2018.09.060 10.1016/j.neuroimage.2017.10.037 10.1016/j.neuroimage.2013.04.127 10.3389/fnins.2020.00396 10.1002/mrm.22361 10.1038/mp.2015.63 10.1016/j.neuroimage.2017.12.040 |
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| Copyright | 2021 The Authors The Authors Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved. 2021 The Authors 2021 |
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| References | Sadato, Morita, Kasai, Fukushi, Nakamura, Nakazawa, Okano, Okabe (b0275) 2019; 101 Hibar, Westlye, Doan, Jahanshad, Cheung, Ching, Versace, Bilderbeck, Uhlmann, Mwangi, Kramer, Overs, Hartberg, Abe, Dima, Grotegerd, Sprooten, Boen, Jimenez, Howells, Delvecchio, Temmingh, Starke, Almeida, Goikolea, Houenou, Beard, Rauer, Abramovic, Bonnin, Ponteduro, Keil, Rive, Yao, Yalin, Najt, Rosa, Redlich, Trost, Hagenaars, Fears, Alonso-Lana, van Erp, Nickson, Chaim-Avancini, Meier, Elvsashagen, Haukvik, Lee, Schene, Lloyd, Young, Nugent, Dale, Pfennig, McIntosh, Lafer, Baune, Ekman, Zarate, Bearden, Henry, Simhandl, McDonald, Bourne, Stein, Wolf, Cannon, Glahn, Veltman, Pomarol-Clotet, Vieta, Canales-Rodriguez, Nery, Duran, Busatto, Roberts, Pearlson, Goodwin, Kugel, Whalley, Ruhe, Soares, Fullerton, Rybakowski, Savitz, Chaim, Fatjo-Vilas, Soeiro-de-Souza, Boks, Zanetti, Otaduy, Schaufelberger, Alda, Ingvar, Phillips, Kempton, Bauer, Landen, Lawrence, van Haren, Horn, Freimer, Gruber, Schofield, Mitchell, Kahn, Lenroot, Machado-Vieira, Ophoff, Sarro, Frangou, Satterthwaite, Hajek, Dannlowski, Malt, Arolt, Gattaz, Drevets, Caseras, Agartz, Thompson, Andreassen (b0150) 2018; 23 Yamashita, Yahata, Itahashi, Lisi, Yamada, Ichikawa, Takamura, Yoshihara, Kunimatsu, Okada, Yamagata, Matsuo, Hashimoto, Okada, Sakai, Morimoto, Narumoto, Shimada, Kasai, Kato, Takahashi, Okamoto, Tanaka, Kawato, Yamashita, Imamizu (b0355) 2019; 17 Iwatsubo, Iwata, Suzuki, Ihara, Arai, Ishii, Senda, Ito, Ikeuchi, Kuwano, Matsuda, Japanese Alzheimer's Disease Neuroimaging, Sun, Beckett, Petersen, Weiner, Aisen, Donohue, Alzheimer's Disease Neuroimaging (b0155) 2018; 14 Andersson, Sotiropoulos (b0025) 2016; 125 Jung, Yoon, Ji, Choi, Kim, Nam, Kim, Lee (b0160) 2020; 211 Yahata, Morimoto, Hashimoto, Lisi, Shibata, Kawakubo, Kuwabara, Kuroda, Yamada, Megumi, Imamizu, Nanez, Takahashi, Okamoto, Kasai, Kato, Sasaki, Watanabe, Kawato (b0350) 2016; 7 Elliott, Romer, Knodt, Hariri (b0085) 2018; 84 Andersson, Graham, Drobnjak, Zhang, Campbell (b0015) 2018; 171 Ando, S., Nishida, A., Yamasaki, S., Koike, S., Morimoto, Y., Hoshino, A., Kanata, S., Fujikawa, S., Endo, K., Usami, S., Furukawa, T.A., Hiraiwa-Hasegawa, M., Kasai, K., Scientific, T.T.C., Data Collection, T., 2019. Cohort Profile: The Tokyo Teen Cohort study (TTC). Int. J. Epidemiol. 48, 1414–1414g. Marcus, Harms, Snyder, Jenkinson, Wilson, Glasser, Barch, Archie, Burgess, Ramaratnam, Hodge, Horton, Herrick, Olsen, McKay, House, Hileman, Reid, Harwell, Coalson, Schindler, Elam, Curtiss, Van Essen, Consortium (b0190) 2013; 80 Fischl (b0090) 2012; 62 Schmaal, Veltman, van Erp, Samann, Frodl, Jahanshad, Loehrer, Tiemeier, Hofman, Niessen, Vernooij, Ikram, Wittfeld, Grabe, Block, Hegenscheid, Volzke, Hoehn, Czisch, Lagopoulos, Hatton, Hickie, Goya-Maldonado, Kramer, Gruber, Couvy-Duchesne, Renteria, Strike, Mills, de Zubicaray, McMahon, Medland, Martin, Gillespie, Wright, Hall, MacQueen, Frey, Carballedo, van Velzen, van Tol, van der Wee, Veer, Walter, Schnell, Schramm, Normann, Schoepf, Konrad, Zurowski, Nickson, McIntosh, Papmeyer, Whalley, Sussmann, Godlewska, Cowen, Fischer, Rose, Penninx, Thompson, Hibar (b0290) 2016; 21 Glasser, Coalson, Bijsterbosch, Harrison, Harms, Anticevic, Van Essen, Smith (b0115) 2018; 181 Bollmann, Rasmussen, Kristensen, Blendal, Østergaard, Plocharski, O’Brien, Langkammer, Janke, Barth (b0045) 2019; 195 Zhang, Schneider, Wheeler-Kingshott, Alexander (b0365) 2012; 61 Parkes, Satterthwaite, Bassett (b0245) 2020; 65 Sotiropoulos, Hernandez-Fernandez, Vu, Andersson, Moeller, Yacoub, Lenglet, Ugurbil, Behrens, Jbabdi (b0310) 2016; 134 Glasser, Smith, Marcus, Andersson, Auerbach, Behrens, Coalson, Harms, Jenkinson, Moeller, Robinson, Sotiropoulos, Xu, Yacoub, Ugurbil, Van Essen (b0125) 2016; 19 Robinson, Garcia, Glasser, Chen, Coalson, Makropoulos, Bozek, Wright, Schuh, Webster, Hutter, Price, Cordero Grande, Hughes, Tusor, Bayly, Van Essen, Smith, Edwards, Hajnal, Jenkinson, Glocker, Rueckert (b0270) 2018; 167 Visser, Keuken, Douaud, Gaura, Bachoud-Levi, Remy, Forstmann, Jenkinson (b9005) 2016; 125 Lewandowski, Bouix, Ongur, Shenton (b0185) 2020; 5 van Erp, Hibar, Rasmussen, Glahn, Pearlson, Andreassen, Agartz, Westlye, Haukvik, Dale, Melle, Hartberg, Gruber, Kraemer, Zilles, Donohoe, Kelly, McDonald, Morris, Cannon, Corvin, Machielsen, Koenders, de Haan, Veltman, Satterthwaite, Wolf, Gur, Gur, Potkin, Mathalon, Mueller, Preda, Macciardi, Ehrlich, Walton, Hass, Calhoun, Bockholt, Sponheim, Shoemaker, van Haren, Hulshoff Pol, Ophoff, Kahn, Roiz-Santianez, Crespo-Facorro, Wang, Alpert, Jonsson, Dimitrova, Bois, Whalley, McIntosh, Lawrie, Hashimoto, Thompson, Turner (b0320) 2016; 21 Nunes, Schnack, Ching, Agartz, Akudjedu, Alda, Alnaes, Alonso-Lana, Bauer, Baune, Boen, Bonnin, Busatto, Canales-Rodriguez, Cannon, Caseras, Chaim-Avancini, Dannlowski, Diaz-Zuluaga, Dietsche, Doan, Duchesnay, Elvsashagen, Emden, Eyler, Fatjo-Vilas, Favre, Foley, Fullerton, Glahn, Goikolea, Grotegerd, Hahn, Henry, Hibar, Houenou, Howells, Jahanshad, Kaufmann, Kenney, Kircher, Krug, Lagerberg, Lenroot, Lopez-Jaramillo, Machado-Vieira, Malt, McDonald, Mitchell, Mwangi, Nabulsi, Opel, Overs, Pineda-Zapata, Pomarol-Clotet, Redlich, Roberts, Rosa, Salvador, Satterthwaite, Soares, Stein, Temmingh, Trappenberg, Uhlmann, van Haren, Vieta, Westlye, Wolf, Yuksel, Zanetti, Andreassen, Thompson, Hajek, Group (b0225) 2018 Amiez, Petrides (b0005) 2009; 89 Casey, Cannonier, Conley, Cohen, Barch, Heitzeg, Soules, Teslovich, Dellarco, Garavan, Orr, Wager, Banich, Speer, Sutherland, Riedel, Dick, Bjork, Thomas, Chaarani, Mejia, Hagler, Daniela Cornejo, Sicat, Harms, Dosenbach, Rosenberg, Earl, Bartsch, Watts, Polimeni, Kuperman, Fair, Dale, Workgroup (b0055) 2018; 32 Koutsouleris, Meisenzahl, Borgwardt, Riecher-Rossler, Frodl, Kambeitz, Kohler, Falkai, Moller, Reiser, Davatzikos (b0175) 2015; 138 Xu, Moeller, Auerbach, Strupp, Smith, Feinberg, Yacoub, Ugurbil (b0345) 2013; 83 Moeller, Yacoub, Olman, Auerbach, Strupp, Harel, Ugurbil (b0200) 2010; 63 Coalson, Van Essen, Glasser (b0060) 2018; 115 Harms, Somerville, Ances, Andersson, Barch, Bastiani, Bookheimer, Brown, Buckner, Burgess, Coalson, Chappell, Dapretto, Douaud, Fischl, Glasser, Greve, Hodge, Jamison, Jbabdi, Kandala, Li, Mair, Mangia, Marcus, Mascali, Moeller, Nichols, Robinson, Salat, Smith, Sotiropoulos, Terpstra, Thomas, Tisdall, Ugurbil, van der Kouwe, Woods, Zollei, Van Essen, Yacoub (b0140) 2018; 183 Wang, Xu, Luo, Hu, Zuo (b0330) 2019; 11 Weiner, Veitch, Aisen, Beckett, Cairns, Cedarbaum, Green, Harvey, Jack, Jagust, Luthman, Morris, Petersen, Saykin, Shaw, Shen, Schwarz, Toga, Trojanowski, Alzheimer's Disease Neuroimaging (b0335) 2015; 11 O'Shea, Cohen, Porges, Nissim, Woods (b0230) 2016; 8 Winter, Sheridan (b0340) 2014; 17 Glasser, Sotiropoulos, Wilson, Coalson, Fischl, Andersson, Xu, Jbabdi, Webster, Polimeni, Van Essen, Jenkinson, Consortium (b0130) 2013; 80 Mukai, Murata (b0210) 2017; 75 Salimi-Khorshidi, Douaud, Beckmann, Glasser, Griffanti, Smith (b0280) 2014; 90 Miller, Alfaro-Almagro, Bangerter, Thomas, Yacoub, Xu, Bartsch, Jbabdi, Sotiropoulos, Andersson, Griffanti, Douaud, Okell, Weale, Dragonu, Garratt, Hudson, Collins, Jenkinson, Matthews, Smith (b0195) 2016; 19 Donahue, Sotiropoulos, Jbabdi, Hernandez-Fernandez, Behrens, Dyrby, Coalson, Kennedy, Knoblauch, Van Essen, Glasser (b0070) 2016; 36 Ning, Bonet-Carne, Grussu, Sepehrband, Kaden, Veraart, Blumberg, Khoo, Palombo, Kokkinos, Alexander, Coll-Font, Scherrer, Warfield, Karayumak, Rathi, Koppers, Weninger, Ebert, Merhof, Moyer, Pietsch, Christiaens, Gomes Teixeira, Tournier, Schilling, Huo, Nath, Hansen, Blaber, Landman, Zhylka, Pluim, Parker, Rudrapatna, Evans, Charron, Jones, Tax (b0220) 2020; 221 Parkinson Progression Marker Initiative (b0255) 2011; 95 Fortin, Parker, Tunc, Watanabe, Elliott, Ruparel, Roalf, Satterthwaite, Gur, Gur, Schultz, Verma, Shinohara (b0105) 2017; 161 Yamashita, Sakai, Yamada, Yahata, Kunimatsu, Okada, Itahashi, Hashimoto, Mizuta, Ichikawa, Takamura, Okada, Yamagata, Harada, Matsuo, Tanaka, Kawato, Kasai, Kato, Takahashi, Okamoto, Yamashita, Imamizu (b0360) 2020 Griffanti, Zamboni, Khan, Li, Bonifacio, Sundaresan, Schulz, Kuker, Battaglini, Rothwell, Jenkinson (b9000) 2016; 141 Andersson, Graham, Drobnjak, Zhang, Filippini, Bastiani (b0020) 2017; 152 Beheshti, Maikusa, Daneshmand, Matsuda, Demirel, Anbarjafari, Japanese-Alzheimer's Disease Neuroimaging (b0035) 2017; 60 R Core Team (b0265) 2018 Somerville, Bookheimer, Buckner, Burgess, Curtiss, Dapretto, Elam, Gaffrey, Harms, Hodge, Kandala, Kastman, Nichols, Schlaggar, Smith, Thomas, Yacoub, Van Essen, Barch (b0305) 2018; 183 Drysdale, Grosenick, Downar, Dunlop, Mansouri, Meng, Fetcho, Zebley, Oathes, Etkin, Schatzberg, Sudheimer, Keller, Mayberg, Gunning, Alexopoulos, Fox, Pascual-Leone, Voss, Casey, Dubin, Liston (b0075) 2017; 23 Degenhardt, Chiu, Sampson, Kessler, Anthony, Angermeyer, Bruffaerts, de Girolamo, Gureje, Huang, Karam, Kostyuchenko, Lepine, Mora, Neumark, Ormel, Pinto-Meza, Posada-Villa, Stein, Takeshima, Wells (b0065) 2008; 5 Glasser, Van Essen (b0135) 2011; 31 Okada, Ando, Sanada, Hirata-Mogi, Iijima, Sugiyama, Shirakawa, Yamagishi, Kanehara, Morita, Yagi, Hayashi, Koshiyama, Morita, Sawada, Ikegame, Sugimoto, Toriyama, Masaoka, Fujikawa, Kanata, Tada, Kirihara, Yahata, Araki, Jinde, Kano, Koike, Endo, Yamasaki, Nishida, Hiraiwa-Hasegawa, Bundo, Iwamoto, Tanaka, Kasai (b0235) 2019; 73 Fortin, Cullen, Sheline, Taylor, Aselcioglu, Cook, Adams, Cooper, Fava, McGrath, McInnis, Phillips, Trivedi, Weissman, Shinohara (b0100) 2018; 167 Van Essen, Ugurbil, Auerbach, Barch, Behrens, Bucholz, Chang, Chen, Corbetta, Curtiss, Della Penna, Feinberg, Glasser, Harel, Heath, Larson-Prior, Marcus, Michalareas, Moeller, Oostenveld, Petersen, Prior, Schlaggar, Smith, Snyder, Xu, Yacoub, Consortium (b0325) 2012; 62 Fukutomi, Glasser, Zhang, Autio, Coalson, Okada, Togashi, Van Essen, Hayashi (b0110) 2018; 182 Koike, Takano, Iwashiro, Satomura, Suga, Nagai, Natsubori, Tada Schmaal (10.1016/j.nicl.2021.102600_b0285) 2017; 22 Salimi-Khorshidi (10.1016/j.nicl.2021.102600_b0280) 2014; 90 Bookheimer (10.1016/j.nicl.2021.102600_b0050) 2019; 185 Visser (10.1016/j.nicl.2021.102600_b9005) 2016; 125 Harms (10.1016/j.nicl.2021.102600_b0140) 2018; 183 Parkes (10.1016/j.nicl.2021.102600_b0245) 2020; 65 Somerville (10.1016/j.nicl.2021.102600_b0305) 2018; 183 Glasser (10.1016/j.nicl.2021.102600_b0115) 2018; 181 Kharabian Masouleh (10.1016/j.nicl.2021.102600_b0165) 2020; 30 Elliott (10.1016/j.nicl.2021.102600_b0080) 2018; 562 Bollmann (10.1016/j.nicl.2021.102600_b0045) 2019; 195 Schmaal (10.1016/j.nicl.2021.102600_b0290) 2016; 21 Koutsouleris (10.1016/j.nicl.2021.102600_b0175) 2015; 138 Murray (10.1016/j.nicl.2021.102600_b0215) 2012; 380 O'Shea (10.1016/j.nicl.2021.102600_b0230) 2016; 8 Parkinson Progression Marker Initiative (10.1016/j.nicl.2021.102600_b0255) 2011; 95 Wang (10.1016/j.nicl.2021.102600_b0330) 2019; 11 Miller (10.1016/j.nicl.2021.102600_b0195) 2016; 19 Yamashita (10.1016/j.nicl.2021.102600_b0355) 2019; 17 Coalson (10.1016/j.nicl.2021.102600_b0060) 2018; 115 Andersson (10.1016/j.nicl.2021.102600_b0010) 2003; 20 Degenhardt (10.1016/j.nicl.2021.102600_b0065) 2008; 5 Setsompop (10.1016/j.nicl.2021.102600_b0295) 2012; 67 Sadato (10.1016/j.nicl.2021.102600_b0275) 2019; 101 R Core Team (10.1016/j.nicl.2021.102600_b0265) 2018 Beheshti (10.1016/j.nicl.2021.102600_b0035) 2017; 60 Fischl (10.1016/j.nicl.2021.102600_b0095) 2000; 97 Hibar (10.1016/j.nicl.2021.102600_b0150) 2018; 23 Glasser (10.1016/j.nicl.2021.102600_b0125) 2016; 19 Donahue (10.1016/j.nicl.2021.102600_b0070) 2016; 36 van Erp (10.1016/j.nicl.2021.102600_b0320) 2016; 21 Ning (10.1016/j.nicl.2021.102600_b0220) 2020; 221 Glasser (10.1016/j.nicl.2021.102600_b0130) 2013; 80 Zhang (10.1016/j.nicl.2021.102600_b0365) 2012; 61 Pervaiz (10.1016/j.nicl.2021.102600_b0250) 2020; 211 Casey (10.1016/j.nicl.2021.102600_b0055) 2018; 32 Glasser (10.1016/j.nicl.2021.102600_b0135) 2011; 31 Smith (10.1016/j.nicl.2021.102600_b0300) 2015; 18 Xu (10.1016/j.nicl.2021.102600_b0345) 2013; 83 10.1016/j.nicl.2021.102600_b0145 Andersson (10.1016/j.nicl.2021.102600_b0025) 2016; 125 Lee (10.1016/j.nicl.2021.102600_b0180) 2016; 2 Yamashita (10.1016/j.nicl.2021.102600_b0360) 2020 Winter (10.1016/j.nicl.2021.102600_b0340) 2014; 17 Elliott (10.1016/j.nicl.2021.102600_b0085) 2018; 84 Griffanti (10.1016/j.nicl.2021.102600_b9000) 2016; 141 Okada (10.1016/j.nicl.2021.102600_b0235) 2019; 73 Moeller (10.1016/j.nicl.2021.102600_b0200) 2010; 63 Pinto (10.1016/j.nicl.2021.102600_b0260) 2020; 14 Iwatsubo (10.1016/j.nicl.2021.102600_b0155) 2018; 14 Van Essen (10.1016/j.nicl.2021.102600_b0325) 2012; 62 Andersson (10.1016/j.nicl.2021.102600_b0020) 2017; 152 10.1016/j.nicl.2021.102600_b0030 Marcus (10.1016/j.nicl.2021.102600_b0190) 2013; 80 Nunes (10.1016/j.nicl.2021.102600_b0225) 2018 Behrens (10.1016/j.nicl.2021.102600_b0040) 2003; 50 Drysdale (10.1016/j.nicl.2021.102600_b0075) 2017; 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| References_xml | – volume: 562 start-page: 210 year: 2018 end-page: 216 ident: b0080 article-title: Genome-wide association studies of brain imaging phenotypes in UK Biobank publication-title: Nature – volume: 63 start-page: 1144 year: 2010 end-page: 1153 ident: b0200 article-title: Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI publication-title: Magn. Reson. Med. – volume: 84 start-page: 452 year: 2018 end-page: 459 ident: b0085 article-title: A Connectome-wide functional signature of transdiagnostic risk for mental illness publication-title: Biol. Psychiatry – volume: 183 start-page: 972 year: 2018 end-page: 984 ident: b0140 article-title: Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects publication-title: Neuroimage – volume: 5 start-page: e141 year: 2008 ident: b0065 article-title: Toward a global view of alcohol, tobacco, cannabis, and cocaine use: findings from the WHO World Mental Health Surveys publication-title: PLoS Med. – volume: 89 start-page: 220 year: 2009 end-page: 230 ident: b0005 article-title: Anatomical organization of the eye fields in the human and non-human primate frontal cortex publication-title: Prog. Neurobiol. – volume: 380 start-page: 2197 year: 2012 end-page: 2223 ident: b0215 article-title: Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 publication-title: Lancet – volume: 61 start-page: 1000 year: 2012 end-page: 1016 ident: b0365 article-title: NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain publication-title: Neuroimage – volume: 182 start-page: 488 year: 2018 end-page: 499 ident: b0110 article-title: Neurite imaging reveals microstructural variations in human cerebral cortical gray matter publication-title: Neuroimage – volume: 11 start-page: 259 year: 2019 ident: b0330 article-title: Effects of age and sex on subcortical volumes publication-title: Front. Aging Neurosci. – volume: 60 start-page: 295 year: 2017 end-page: 304 ident: b0035 article-title: Classification of Alzheimer's disease and prediction of mild cognitive impairment conversion using histogram-based analysis of patient-specific anatomical brain connectivity networks publication-title: J. Alzheimers Dis. – volume: 17 start-page: e3000042 year: 2019 ident: b0355 article-title: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias publication-title: PLoS Biol. – volume: 62 start-page: 2222 year: 2012 end-page: 2231 ident: b0325 article-title: The Human Connectome Project: a data acquisition perspective publication-title: Neuroimage – volume: 73 start-page: 231 year: 2019 end-page: 242 ident: b0235 article-title: Population-neuroscience study of the Tokyo TEEN Cohort (pn-TTC): cohort longitudinal study to explore the neurobiological substrates of adolescent psychological and behavioral development publication-title: Psychiatry Clin. Neurosci. – volume: 31 start-page: 11597 year: 2011 end-page: 11616 ident: b0135 article-title: Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI publication-title: J. Neurosci. – volume: 65 start-page: 120 year: 2020 end-page: 128 ident: b0245 article-title: Towards precise resting-state fMRI biomarkers in psychiatry: synthesizing developments in transdiagnostic research, dimensional models of psychopathology, and normative neurodevelopment publication-title: Curr. Opin. Neurobiol. Whole-brain Interactions Between Neural Circuits – volume: 50 start-page: 1077 year: 2003 end-page: 1088 ident: b0040 article-title: Characterization and propagation of uncertainty in diffusion-weighted MR imaging publication-title: Magn. Reson. Med. – volume: 95 start-page: 629 year: 2011 end-page: 635 ident: b0255 article-title: The Parkinson Progression Marker Initiative (PPMI) publication-title: Prog. Neurobiol. – volume: 32 start-page: 43 year: 2018 end-page: 54 ident: b0055 article-title: The adolescent brain cognitive development (ABCD) study: imaging acquisition across 21 sites publication-title: Dev Cogn Neurosci – volume: 21 start-page: 1460 year: 2016 end-page: 1466 ident: b0240 article-title: Abnormal asymmetries in subcortical brain volume in schizophrenia publication-title: Mol. Psychiatry – volume: 7 start-page: 157 year: 2020 ident: b0315 article-title: Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings publication-title: Sci. Data – volume: 19 start-page: 1175 year: 2016 end-page: 1187 ident: b0125 article-title: The Human Connectome Project's neuroimaging approach publication-title: Nat. Neurosci. – volume: 167 start-page: 453 year: 2018 end-page: 465 ident: b0270 article-title: Multimodal surface matching with higher-order smoothness constraints publication-title: Neuroimage – volume: 115 start-page: E6356 year: 2018 end-page: E6365 ident: b0060 article-title: The impact of traditional neuroimaging methods on the spatial localization of cortical areas publication-title: Proc. Natl. Acad. Sci. USA – volume: 211 start-page: 116619 year: 2020 ident: b0160 article-title: Exploring linearity of deep neural network trained QSM: QSMnet+ publication-title: NeuroImage – volume: 97 start-page: 11050 year: 2000 end-page: 11055 ident: b0095 article-title: Measuring the thickness of the human cerebral cortex from magnetic resonance images publication-title: Proc. Natl. Acad. Sci. U S A – volume: 15 start-page: xi year: 2005 end-page: xii ident: b0205 article-title: The Alzheimer's disease neuroimaging initiative publication-title: Neuroimaging Clin. N. Am. – volume: 138 start-page: 2059 year: 2015 end-page: 2073 ident: b0175 article-title: Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers publication-title: Brain – volume: 143 start-page: 116 year: 2013 end-page: 124 ident: b0170 article-title: A multimodal approach to investigate biomarkers for psychosis in a clinical setting: the Integrative Neuroimaging studies in Schizophrenia Targeting for Early intervention and Prevention (IN-STEP) project publication-title: Schizophr. Res. – volume: 75 start-page: 151 year: 2017 end-page: 155 ident: b0210 article-title: Japan Parkinson's Progression Markers Initiative (J-PPMI) publication-title: Nihon Rinsho – volume: 221 start-page: 117128 year: 2020 ident: b0220 article-title: Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results publication-title: NeuroImage – volume: 90 start-page: 449 year: 2014 end-page: 468 ident: b0280 article-title: Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers publication-title: Neuroimage – volume: 67 start-page: 1210 year: 2012 end-page: 1224 ident: b0295 article-title: Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty publication-title: Magn. Reson. Med. – volume: 183 start-page: 456 year: 2018 end-page: 468 ident: b0305 article-title: The Lifespan Human Connectome Project in Development: a large-scale study of brain connectivity development in 5–21 year olds publication-title: Neuroimage – volume: 7 start-page: 11254 year: 2016 ident: b0350 article-title: A small number of abnormal brain connections predicts adult autism spectrum disorder publication-title: Nat. Commun. – volume: 36 start-page: 6758 year: 2016 end-page: 6770 ident: b0070 article-title: Using diffusion tractography to predict cortical connection strength and distance: a quantitative comparison with tracers in the monkey publication-title: J. Neurosci. – volume: 62 start-page: 774 year: 2012 end-page: 781 ident: b0090 article-title: FreeSurfer publication-title: Neuroimage – volume: 21 start-page: 547 year: 2016 end-page: 553 ident: b0320 article-title: Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium publication-title: Mol. Psychiatry – volume: 18 start-page: 1565 year: 2015 end-page: 1567 ident: b0300 article-title: A positive-negative mode of population covariation links brain connectivity, demographics and behavior publication-title: Nat. Neurosci. – volume: 23 start-page: 28 year: 2017 end-page: 38 ident: b0075 article-title: Resting-state connectivity biomarkers define neurophysiological subtypes of depression publication-title: Nat. Med. – volume: 181 start-page: 692 year: 2018 end-page: 717 ident: b0115 article-title: Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data publication-title: Neuroimage – volume: 161 start-page: 149 year: 2017 end-page: 170 ident: b0105 article-title: Harmonization of multi-site diffusion tensor imaging data publication-title: Neuroimage – volume: 19 start-page: 1523 year: 2016 end-page: 1536 ident: b0195 article-title: Multimodal population brain imaging in the UK Biobank prospective epidemiological study publication-title: Nat. Neurosci. – volume: 195 start-page: 373 year: 2019 end-page: 383 ident: b0045 article-title: DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping publication-title: Neuroimage – year: 2018 ident: b0265 article-title: R: A Language and Environment for Statistical Computing – volume: 134 start-page: 396 year: 2016 end-page: 409 ident: b0310 article-title: Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project publication-title: Neuroimage – volume: 125 start-page: 479 year: 2016 end-page: 497 ident: b9005 article-title: Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool publication-title: Neuroimage – volume: 30 start-page: 5014 year: 2020 end-page: 5027 ident: b0165 article-title: Influence of processing pipeline on cortical thickness measurement publication-title: Cereb. Cortex – volume: 20 start-page: 870 year: 2003 end-page: 888 ident: b0010 article-title: How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging publication-title: Neuroimage – volume: 167 start-page: 104 year: 2018 end-page: 120 ident: b0100 article-title: Harmonization of cortical thickness measurements across scanners and sites publication-title: Neuroimage – volume: 141 start-page: 191 year: 2016 end-page: 205 ident: b9000 article-title: BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities publication-title: Neuroimage – volume: 211 start-page: 116604 year: 2020 ident: b0250 article-title: Optimising network modelling methods for fMRI publication-title: NeuroImage – volume: 2 start-page: 1 year: 2016 ident: b0180 article-title: Psychosis research in Asia: advantage from low prevalence of cannabis use publication-title: NPJ Schizophr. – reference: Ando, S., Nishida, A., Yamasaki, S., Koike, S., Morimoto, Y., Hoshino, A., Kanata, S., Fujikawa, S., Endo, K., Usami, S., Furukawa, T.A., Hiraiwa-Hasegawa, M., Kasai, K., Scientific, T.T.C., Data Collection, T., 2019. Cohort Profile: The Tokyo Teen Cohort study (TTC). Int. J. Epidemiol. 48, 1414–1414g. – volume: 11 start-page: e1 year: 2015 end-page: 120 ident: b0335 article-title: 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception publication-title: Alzheimers Dement – volume: 101 start-page: 385 year: 2019 end-page: 389 ident: b0275 article-title: Neuroethical issues of the brain/MINDS Project of Japan publication-title: Neuron – volume: 22 start-page: 900 year: 2017 end-page: 909 ident: b0285 article-title: Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group publication-title: Mol. Psychiatry – volume: 14 start-page: 396 year: 2020 ident: b0260 article-title: Harmonization of brain diffusion MRI: concepts and methods publication-title: Front. Neurosci. – year: 2018 ident: b0225 article-title: Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group publication-title: Mol. Psychiatry – volume: 5 year: 2020 ident: b0185 article-title: Neuroprogression across the Early Course of Psychosis publication-title: J. Psychiatry Brain Sci. – volume: 14 start-page: 1077 year: 2018 end-page: 1087 ident: b0155 article-title: Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: harmonization for international trials publication-title: Alzheimers Dement – volume: 536 start-page: 171 year: 2016 end-page: 178 ident: b0120 article-title: A multi-modal parcellation of human cerebral cortex publication-title: Nature – year: 2020 ident: b0360 article-title: Generalizable brain network markers of major depressive disorder across multiple imaging sites publication-title: PLoS Biol. – volume: 125 start-page: 1063 year: 2016 end-page: 1078 ident: b0025 article-title: An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging publication-title: Neuroimage – volume: 80 start-page: 202 year: 2013 end-page: 219 ident: b0190 article-title: Human Connectome Project informatics: quality control, database services, and data visualization publication-title: Neuroimage – volume: 152 start-page: 450 year: 2017 end-page: 466 ident: b0020 article-title: Towards a comprehensive framework for movement and distortion correction of diffusion MR images: within volume movement publication-title: Neuroimage – volume: 171 start-page: 277 year: 2018 end-page: 295 ident: b0015 article-title: Susceptibility-induced distortion that varies due to motion: correction in diffusion MR without acquiring additional data publication-title: Neuroimage – volume: 21 start-page: 806 year: 2016 end-page: 812 ident: b0290 article-title: Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group publication-title: Mol. Psychiatry – volume: 80 start-page: 105 year: 2013 end-page: 124 ident: b0130 article-title: The minimal preprocessing pipelines for the Human Connectome Project publication-title: Neuroimage – volume: 83 start-page: 991 year: 2013 end-page: 1001 ident: b0345 article-title: Evaluation of slice accelerations using multiband echo planar imaging at 3 T publication-title: Neuroimage – volume: 23 start-page: 932 year: 2018 end-page: 942 ident: b0150 article-title: Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group publication-title: Mol. Psychiatry – volume: 17 start-page: 797 year: 2014 end-page: 807 ident: b0340 article-title: Previous reward decreases errors of commission on later 'No-Go' trials in children 4 to 12 years of age: evidence for a context monitoring account publication-title: Dev. Sci. – volume: 185 start-page: 335 year: 2019 end-page: 348 ident: b0050 article-title: The lifespan human connectome project in aging: an overview publication-title: Neuroimage – reference: Hayashi, T., Hou, Y., Glasser, M.F., Autio, J.A., Knoblauch, K., Inoue-Murayama, M., Coalson, T., Yacoub, E., Smith, S., Kennedy, H., Van Essen, D.C., 2020. The NonHuman Primate Neuroimaging & Neuroanatomy Project. arXiv:2010.00308 [q-bio]. – volume: 8 start-page: 298 year: 2016 ident: b0230 article-title: Cognitive aging and the hippocampus in older adults publication-title: Front. Aging Neurosci. – volume: 2 start-page: 1 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0180 article-title: Psychosis research in Asia: advantage from low prevalence of cannabis use publication-title: NPJ Schizophr. doi: 10.1038/s41537-016-0002-4 – volume: 95 start-page: 629 year: 2011 ident: 10.1016/j.nicl.2021.102600_b0255 article-title: The Parkinson Progression Marker Initiative (PPMI) publication-title: Prog. Neurobiol. doi: 10.1016/j.pneurobio.2011.09.005 – year: 2018 ident: 10.1016/j.nicl.2021.102600_b0265 – volume: 19 start-page: 1523 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0195 article-title: Multimodal population brain imaging in the UK Biobank prospective epidemiological study publication-title: Nat. Neurosci. doi: 10.1038/nn.4393 – volume: 32 start-page: 43 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0055 article-title: The adolescent brain cognitive development (ABCD) study: imaging acquisition across 21 sites publication-title: Dev Cogn Neurosci doi: 10.1016/j.dcn.2018.03.001 – ident: 10.1016/j.nicl.2021.102600_b0030 doi: 10.1093/ije/dyz033 – volume: 60 start-page: 295 year: 2017 ident: 10.1016/j.nicl.2021.102600_b0035 article-title: Classification of Alzheimer's disease and prediction of mild cognitive impairment conversion using histogram-based analysis of patient-specific anatomical brain connectivity networks publication-title: J. Alzheimers Dis. doi: 10.3233/JAD-161080 – volume: 62 start-page: 774 year: 2012 ident: 10.1016/j.nicl.2021.102600_b0090 article-title: FreeSurfer publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.01.021 – volume: 62 start-page: 2222 year: 2012 ident: 10.1016/j.nicl.2021.102600_b0325 article-title: The Human Connectome Project: a data acquisition perspective publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.02.018 – volume: 50 start-page: 1077 year: 2003 ident: 10.1016/j.nicl.2021.102600_b0040 article-title: Characterization and propagation of uncertainty in diffusion-weighted MR imaging publication-title: Magn. Reson. Med. doi: 10.1002/mrm.10609 – volume: 23 start-page: 28 year: 2017 ident: 10.1016/j.nicl.2021.102600_b0075 article-title: Resting-state connectivity biomarkers define neurophysiological subtypes of depression publication-title: Nat. Med. doi: 10.1038/nm.4246 – volume: 14 start-page: 1077 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0155 article-title: Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: harmonization for international trials publication-title: Alzheimers Dement doi: 10.1016/j.jalz.2018.03.009 – volume: 8 start-page: 298 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0230 article-title: Cognitive aging and the hippocampus in older adults publication-title: Front. Aging Neurosci. – volume: 536 start-page: 171 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0120 article-title: A multi-modal parcellation of human cerebral cortex publication-title: Nature doi: 10.1038/nature18933 – volume: 7 start-page: 11254 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0350 article-title: A small number of abnormal brain connections predicts adult autism spectrum disorder publication-title: Nat. Commun. doi: 10.1038/ncomms11254 – year: 2018 ident: 10.1016/j.nicl.2021.102600_b0225 article-title: Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group publication-title: Mol. Psychiatry – volume: 20 start-page: 870 year: 2003 ident: 10.1016/j.nicl.2021.102600_b0010 article-title: How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging publication-title: Neuroimage doi: 10.1016/S1053-8119(03)00336-7 – volume: 90 start-page: 449 year: 2014 ident: 10.1016/j.nicl.2021.102600_b0280 article-title: Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.11.046 – volume: 101 start-page: 385 year: 2019 ident: 10.1016/j.nicl.2021.102600_b0275 article-title: Neuroethical issues of the brain/MINDS Project of Japan publication-title: Neuron doi: 10.1016/j.neuron.2019.01.006 – volume: 61 start-page: 1000 year: 2012 ident: 10.1016/j.nicl.2021.102600_b0365 article-title: NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain publication-title: Neuroimage doi: 10.1016/j.neuroimage.2012.03.072 – volume: 23 start-page: 932 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0150 article-title: Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group publication-title: Mol. Psychiatry doi: 10.1038/mp.2017.73 – volume: 143 start-page: 116 year: 2013 ident: 10.1016/j.nicl.2021.102600_b0170 article-title: A multimodal approach to investigate biomarkers for psychosis in a clinical setting: the Integrative Neuroimaging studies in Schizophrenia Targeting for Early intervention and Prevention (IN-STEP) project publication-title: Schizophr. Res. doi: 10.1016/j.schres.2012.11.012 – volume: 181 start-page: 692 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0115 article-title: Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.04.076 – volume: 138 start-page: 2059 year: 2015 ident: 10.1016/j.nicl.2021.102600_b0175 article-title: Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers publication-title: Brain doi: 10.1093/brain/awv111 – volume: 5 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0185 article-title: Neuroprogression across the Early Course of Psychosis publication-title: J. Psychiatry Brain Sci. – volume: 19 start-page: 1175 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0125 article-title: The Human Connectome Project's neuroimaging approach publication-title: Nat. Neurosci. doi: 10.1038/nn.4361 – volume: 152 start-page: 450 year: 2017 ident: 10.1016/j.nicl.2021.102600_b0020 article-title: Towards a comprehensive framework for movement and distortion correction of diffusion MR images: within volume movement publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.02.085 – volume: 31 start-page: 11597 year: 2011 ident: 10.1016/j.nicl.2021.102600_b0135 article-title: Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.2180-11.2011 – volume: 380 start-page: 2197 year: 2012 ident: 10.1016/j.nicl.2021.102600_b0215 article-title: Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 publication-title: Lancet doi: 10.1016/S0140-6736(12)61689-4 – volume: 18 start-page: 1565 year: 2015 ident: 10.1016/j.nicl.2021.102600_b0300 article-title: A positive-negative mode of population covariation links brain connectivity, demographics and behavior publication-title: Nat. Neurosci. doi: 10.1038/nn.4125 – volume: 211 start-page: 116604 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0250 article-title: Optimising network modelling methods for fMRI publication-title: NeuroImage doi: 10.1016/j.neuroimage.2020.116604 – volume: 84 start-page: 452 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0085 article-title: A Connectome-wide functional signature of transdiagnostic risk for mental illness publication-title: Biol. Psychiatry doi: 10.1016/j.biopsych.2018.03.012 – volume: 75 start-page: 151 year: 2017 ident: 10.1016/j.nicl.2021.102600_b0210 article-title: Japan Parkinson's Progression Markers Initiative (J-PPMI) publication-title: Nihon Rinsho – volume: 15 start-page: xi issue: 869–877 year: 2005 ident: 10.1016/j.nicl.2021.102600_b0205 article-title: The Alzheimer's disease neuroimaging initiative publication-title: Neuroimaging Clin. N. Am. – volume: 211 start-page: 116619 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0160 article-title: Exploring linearity of deep neural network trained QSM: QSMnet+ publication-title: NeuroImage doi: 10.1016/j.neuroimage.2020.116619 – volume: 22 start-page: 900 year: 2017 ident: 10.1016/j.nicl.2021.102600_b0285 article-title: Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group publication-title: Mol. Psychiatry doi: 10.1038/mp.2016.60 – volume: 83 start-page: 991 year: 2013 ident: 10.1016/j.nicl.2021.102600_b0345 article-title: Evaluation of slice accelerations using multiband echo planar imaging at 3 T publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.07.055 – volume: 125 start-page: 479 year: 2016 ident: 10.1016/j.nicl.2021.102600_b9005 article-title: Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool publication-title: Neuroimage doi: 10.1016/j.neuroimage.2015.10.013 – volume: 21 start-page: 1460 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0240 article-title: Abnormal asymmetries in subcortical brain volume in schizophrenia publication-title: Mol. Psychiatry doi: 10.1038/mp.2015.209 – volume: 167 start-page: 104 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0100 article-title: Harmonization of cortical thickness measurements across scanners and sites publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.11.024 – volume: 195 start-page: 373 year: 2019 ident: 10.1016/j.nicl.2021.102600_b0045 article-title: DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping publication-title: Neuroimage doi: 10.1016/j.neuroimage.2019.03.060 – volume: 115 start-page: E6356 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0060 article-title: The impact of traditional neuroimaging methods on the spatial localization of cortical areas publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1801582115 – volume: 97 start-page: 11050 year: 2000 ident: 10.1016/j.nicl.2021.102600_b0095 article-title: Measuring the thickness of the human cerebral cortex from magnetic resonance images publication-title: Proc. Natl. Acad. Sci. U S A doi: 10.1073/pnas.200033797 – volume: 17 start-page: 797 year: 2014 ident: 10.1016/j.nicl.2021.102600_b0340 article-title: Previous reward decreases errors of commission on later 'No-Go' trials in children 4 to 12 years of age: evidence for a context monitoring account publication-title: Dev. Sci. doi: 10.1111/desc.12168 – volume: 80 start-page: 202 year: 2013 ident: 10.1016/j.nicl.2021.102600_b0190 article-title: Human Connectome Project informatics: quality control, database services, and data visualization publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.05.077 – volume: 67 start-page: 1210 year: 2012 ident: 10.1016/j.nicl.2021.102600_b0295 article-title: Blipped-controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g-factor penalty publication-title: Magn. Reson. Med. doi: 10.1002/mrm.23097 – volume: 125 start-page: 1063 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0025 article-title: An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging publication-title: Neuroimage doi: 10.1016/j.neuroimage.2015.10.019 – volume: 73 start-page: 231 year: 2019 ident: 10.1016/j.nicl.2021.102600_b0235 article-title: Population-neuroscience study of the Tokyo TEEN Cohort (pn-TTC): cohort longitudinal study to explore the neurobiological substrates of adolescent psychological and behavioral development publication-title: Psychiatry Clin. Neurosci. doi: 10.1111/pcn.12814 – year: 2020 ident: 10.1016/j.nicl.2021.102600_b0360 article-title: Generalizable brain network markers of major depressive disorder across multiple imaging sites publication-title: PLoS Biol. doi: 10.1371/journal.pbio.3000966 – volume: 36 start-page: 6758 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0070 article-title: Using diffusion tractography to predict cortical connection strength and distance: a quantitative comparison with tracers in the monkey publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.0493-16.2016 – ident: 10.1016/j.nicl.2021.102600_b0145 doi: 10.1016/j.neuroimage.2021.117726 – volume: 30 start-page: 5014 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0165 article-title: Influence of processing pipeline on cortical thickness measurement publication-title: Cereb. Cortex doi: 10.1093/cercor/bhaa097 – volume: 221 start-page: 117128 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0220 article-title: Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: algorithms and results publication-title: NeuroImage doi: 10.1016/j.neuroimage.2020.117128 – volume: 11 start-page: 259 year: 2019 ident: 10.1016/j.nicl.2021.102600_b0330 article-title: Effects of age and sex on subcortical volumes publication-title: Front. Aging Neurosci. doi: 10.3389/fnagi.2019.00259 – volume: 185 start-page: 335 year: 2019 ident: 10.1016/j.nicl.2021.102600_b0050 article-title: The lifespan human connectome project in aging: an overview publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.10.009 – volume: 562 start-page: 210 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0080 article-title: Genome-wide association studies of brain imaging phenotypes in UK Biobank publication-title: Nature doi: 10.1038/s41586-018-0571-7 – volume: 182 start-page: 488 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0110 article-title: Neurite imaging reveals microstructural variations in human cerebral cortical gray matter publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.02.017 – volume: 141 start-page: 191 year: 2016 ident: 10.1016/j.nicl.2021.102600_b9000 article-title: BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.07.018 – volume: 134 start-page: 396 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0310 article-title: Fusion in diffusion MRI for improved fibre orientation estimation: an application to the 3T and 7T data of the Human Connectome Project publication-title: Neuroimage doi: 10.1016/j.neuroimage.2016.04.014 – volume: 7 start-page: 157 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0315 article-title: Multicenter dataset of multi-shell diffusion MRI in healthy traveling adults with identical settings publication-title: Sci. Data doi: 10.1038/s41597-020-0493-8 – volume: 17 start-page: e3000042 issue: 4 year: 2019 ident: 10.1016/j.nicl.2021.102600_b0355 article-title: Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias publication-title: PLoS Biol. doi: 10.1371/journal.pbio.3000042 – volume: 161 start-page: 149 year: 2017 ident: 10.1016/j.nicl.2021.102600_b0105 article-title: Harmonization of multi-site diffusion tensor imaging data publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.08.047 – volume: 89 start-page: 220 year: 2009 ident: 10.1016/j.nicl.2021.102600_b0005 article-title: Anatomical organization of the eye fields in the human and non-human primate frontal cortex publication-title: Prog. Neurobiol. doi: 10.1016/j.pneurobio.2009.07.010 – volume: 11 start-page: e1 year: 2015 ident: 10.1016/j.nicl.2021.102600_b0335 article-title: 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception publication-title: Alzheimers Dement doi: 10.1016/j.jalz.2014.11.001 – volume: 183 start-page: 456 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0305 article-title: The Lifespan Human Connectome Project in Development: a large-scale study of brain connectivity development in 5–21 year olds publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.08.050 – volume: 5 start-page: e141 year: 2008 ident: 10.1016/j.nicl.2021.102600_b0065 article-title: Toward a global view of alcohol, tobacco, cannabis, and cocaine use: findings from the WHO World Mental Health Surveys publication-title: PLoS Med. doi: 10.1371/journal.pmed.0050141 – volume: 21 start-page: 806 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0290 article-title: Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group publication-title: Mol. Psychiatry doi: 10.1038/mp.2015.69 – volume: 65 start-page: 120 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0245 article-title: Towards precise resting-state fMRI biomarkers in psychiatry: synthesizing developments in transdiagnostic research, dimensional models of psychopathology, and normative neurodevelopment publication-title: Curr. Opin. Neurobiol. Whole-brain Interactions Between Neural Circuits – volume: 183 start-page: 972 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0140 article-title: Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects publication-title: Neuroimage doi: 10.1016/j.neuroimage.2018.09.060 – volume: 167 start-page: 453 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0270 article-title: Multimodal surface matching with higher-order smoothness constraints publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.10.037 – volume: 80 start-page: 105 year: 2013 ident: 10.1016/j.nicl.2021.102600_b0130 article-title: The minimal preprocessing pipelines for the Human Connectome Project publication-title: Neuroimage doi: 10.1016/j.neuroimage.2013.04.127 – volume: 14 start-page: 396 year: 2020 ident: 10.1016/j.nicl.2021.102600_b0260 article-title: Harmonization of brain diffusion MRI: concepts and methods publication-title: Front. Neurosci. doi: 10.3389/fnins.2020.00396 – volume: 63 start-page: 1144 year: 2010 ident: 10.1016/j.nicl.2021.102600_b0200 article-title: Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI publication-title: Magn. Reson. Med. doi: 10.1002/mrm.22361 – volume: 21 start-page: 547 year: 2016 ident: 10.1016/j.nicl.2021.102600_b0320 article-title: Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium publication-title: Mol. Psychiatry doi: 10.1038/mp.2015.63 – volume: 171 start-page: 277 year: 2018 ident: 10.1016/j.nicl.2021.102600_b0015 article-title: Susceptibility-induced distortion that varies due to motion: correction in diffusion MR without acquiring additional data publication-title: Neuroimage doi: 10.1016/j.neuroimage.2017.12.040 |
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| Snippet | •The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data.•Prospective harmonization of MRI was achieved by standardizing scanning... Highlights•The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data. •Prospective harmonization of MRI was achieved by standardizing... Psychiatric and neurological disorders are afflictions of the brain that can affect individuals throughout their lifespan. Many brain magnetic resonance... • The Brain/MINDS beyond project plans to collect multi-site/scanner brain MRI data. • Prospective harmonization of MRI was achieved by standardizing scanning... |
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| SubjectTerms | Brain - diagnostic imaging Brain Diseases Connectome Harmonization protocol HCP-style brain imaging Humans Longevity Magnetic Resonance Imaging Multi-site study Neurological disorders Prospective Studies Psychiatric disorders Radiology Regular Traveling subjects |
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| Title | Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S2213158221000449 https://www.clinicalkey.es/playcontent/1-s2.0-S2213158221000449 https://dx.doi.org/10.1016/j.nicl.2021.102600 https://www.ncbi.nlm.nih.gov/pubmed/33741307 https://www.proquest.com/docview/2503448140 https://pubmed.ncbi.nlm.nih.gov/PMC8209465 https://doaj.org/article/28aa337fce2c445e8cea870bd036167d |
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