The challenge of mapping the human connectome based on diffusion tractography

被引:874
作者
Maier-Hein, Klaus H. [1 ]
Neher, Peter F. [1 ]
Houde, Jean-Christophe [2 ]
Cote, Marc-Alexandre [2 ]
Garyfallidis, Eleftherios [2 ,3 ]
Zhong, Jidan [4 ]
Chamberland, Maxime [2 ]
Yeh, Fang-Cheng [5 ]
Lin, Ying-Chia [6 ]
Ji, Qing [7 ]
Reddick, Wilburn E. [7 ]
Glass, John O. [7 ]
Chen, David Qixiang [8 ]
Feng, Yuanjing [9 ]
Gao, Chengfeng
Wu, Ye [9 ]
Ma, Jieyan [10 ]
Renjie, H. [10 ]
Li, Qiang [10 ,11 ]
Westin, Carl-Fredrik [12 ]
Deslauriers-Gauthier, Samuel [2 ]
Ocegueda Gonzalez, J. Omar [13 ]
Paquette, Michael [2 ]
St-Jean, Samuel
Girard, Gabriel [2 ]
Rheault, Francois [2 ]
Sidhu, Jasmeen [2 ]
Tax, Chantal M. W. [14 ,15 ]
Guo, Fenghua [14 ]
Mesri, Hamed Y. [14 ]
David, Szabolcs [14 ]
Froeling, Martijn [16 ]
Heemskerk, Anneriet M. [14 ]
Leemans, Alexander [14 ]
Bore, Arnaud [17 ]
Pinsard, Basile [17 ,18 ]
Bedetti, Christophe [17 ,19 ]
Desrosiers, Matthieu [17 ]
Brambati, Simona [17 ]
Doyon, Julien [17 ]
Sarica, Alessia [20 ]
Vasta, Roberta [20 ]
Cerasa, Antonio [20 ]
Quattrone, Aldo [20 ,21 ]
Yeatman, Jason [22 ,23 ]
Khan, Ali R. [24 ,25 ]
Hodges, Wes [26 ]
Alexander, Simon [26 ]
Romascano, David [27 ]
Barakovic, Muhamed [27 ]
机构
[1] German Canc Res Ctr, Div Med Image Comp, D-69120 Heidelberg, Germany
[2] Univ Sherbrooke, Sherbrooke Connect Imaging Lab SCIL, Sherbrooke, PQ J1K 0A5, Canada
[3] Indiana Univ, Sch Informat & Comp, Dept Intelligent Syst Engn, Bloomington, IN 47408 USA
[4] Univ Hlth Network, Krembil Res Inst, Toronto, ON M5G 2C4, Canada
[5] Univ Pittsburgh, Sch Med, Dept Neurol Sci, Pittsburgh, PA 15213 USA
[6] Inst Adv Studies, IMT, I-55100 Lucca, Italy
[7] St Jude Childrens Res Hosp, Dept Diagnost Imaging, Memphis, TN 38105 USA
[8] Univ Toronto, Inst Med Sci, Toronto, ON M5S 1A8, Canada
[9] Zhejiang Univ Technol, Inst Informat Proc & Automat, Hangzhou 310023, Zhejiang, Peoples R China
[10] United Imaging Healthcare Co, Shanghai 201807, Peoples R China
[11] Shanghai Adv Res Inst, Shanghai 201210, Peoples R China
[12] Harvard Med Sch, Lab Math Imaging, Boston, MA 02215 USA
[13] Ctr Res Math, Guanajuato 36023, Mexico
[14] Univ Med Ctr Utrecht, Image Sci Inst, PROVIDI Lab, NL-3508 Utrecht, Netherlands
[15] Cardiff Univ, Sch Psychol, Brain Res Imaging Ctr, Maindy Rd, Cardiff, S Glam CF24 4HQ, Wales
[16] Univ Med Ctr Utrecht, Dept Radiol, NL-3508 Utrecht, Netherlands
[17] Univ Montreal, CRIUGM, Montreal, PQ H3W 1W5, Canada
[18] UPMC Univ Paris 06, Sorbonne Univ, CNRS, INSERM,LIB, F-75013 Paris, France
[19] Hop Sacre Coeur Montreal, Ctr Adv Res Sleep Med, Montreal, PQ H4J 1C5, Canada
[20] Policlin Magna Graecia, Natl Res Council CNR, Inst Bioimaging & Mol Physiol IBFM, Neuroimaging Unit, I-88100 Germaneto, CZ, Italy
[21] Magna Graecia Univ Catanzaro, Inst Neurol, I-88100 Germaneto, CZ, Italy
[22] Univ Washington, Inst Learning & Brain Sci, Seattle, WA 98195 USA
[23] Univ Washington, Dept Speech & Hearing Sci, Seattle, WA 98195 USA
[24] Western Univ, Schulich Sch Med & Dent, Dept Med Biophys, 1151 Richmond St N, London, ON N6A 5C1, Canada
[25] Western Univ, Schulich Sch Med & Dent, Dept Med Imaging, 1151 Richmond St N, London, ON N6A 5C1, Canada
[26] Synaptive Med Inc, 101 Coll St,Suite 200, Toronto, ON M5V 3B1, Canada
[27] Ecole Polytech Fed Lausanne, Signal Proc Lab LTS5, CH-1015 Lausanne, Switzerland
[28] U Poltecn Madrid, ETSI Telecom, Biomed Image Technol BIT, Madrid 28040, Spain
[29] CIBER, BBN, Madrid 28040, Spain
[30] Univ Hosp Ctr CHUV, Dept Radiol, CH-1011 Lausanne, Switzerland
[31] Univ Lausanne UNIL, CH-1011 Lausanne, Switzerland
[32] Siemens Healthcare, Med Imaging Technol, Princeton, NJ 08540 USA
[33] USC, Keck Sch Med, Stevens Neuro Imaging & Informat Inst, Imaging Genet Ctr, Los Angeles, CA 90033 USA
[34] Kings Coll London, Inst Psychiat Psychol & Neurosci, NatBrainLab, London SE5 8AF, England
[35] Univ Bordeaux, CNRS, CEA, GIN IMN,UMR5293, F-33000 Bordeaux, France
[36] CNRS, Inst Res IT & Random Syst IRISA, VISAGES Project Team, UMR 6074, F-35042 Rennes, France
[37] Univ Copenhagen, Hosp Hvidovre, Ctr Funct & Diagnost Imaging & Res, Danish Res Ctr Magnet Resonance, DK-2650 Hvidovre, Denmark
[38] Tech Univ Denmark, Dept Appl Math & Comp Sci, DK-2800 Lyngby, Denmark
[39] German Canc Res Ctr, Div Biostat, D-69120 Heidelberg, Germany
[40] Univ Med Ctr Eppendorf, Dept Computat Neurosci, D-20246 Hamburg, Germany
[41] Univ Hosp Basel, Radiol & Nucl Med Clin, CH-4031 Basel, Switzerland
基金
瑞士国家科学基金会; 英国惠康基金; 加拿大自然科学与工程研究理事会;
关键词
MICROSTRUCTURE INFORMED TRACTOGRAPHY; BRAIN FIBER PATHWAYS; WHITE-MATTER; IN-VIVO; GLOBAL TRACTOGRAPHY; MRI TRACTOGRAPHY; OCCIPITAL FASCICULUS; LINEAR REGISTRATION; VALIDATION; PHANTOMS;
D O I
10.1038/s41467-017-01285-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent). However, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups. Taken together, our results demonstrate and confirm fundamental ambiguities inherent in tract reconstruction based on orientation information alone, which need to be considered when interpreting tractography and connectivity results. Our approach provides a novel framework for estimating reliability of tractography and encourages innovation to address its current limitations.
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页数:13
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