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14 results on '"Landman, B.A."'

1. Metrics reloaded: recommendations for image analysis validation

Author

Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M.D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M.A., Wiesenfarth, M., Kavur, A.E., Sudre, C.H., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Radsch, T., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Blaschko, M.B., Cardoso, M.J., Cheplygina, V., Cimini, B.A., Collins, G.S., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Haase, R., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Karthikesalingam, A., Kofler, F., Kopp-Schneider, A., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Mattson, P., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rajpoot, N., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Smeden, M. van, Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., Jager, P.F., Maier-Hein, L., Reinke, A., Godau, P., Tizabi, M.D., Buettner, F., Christodoulou, E., Glocker, B., Isensee, F., Kleesiek, J., Kozubek, M., Reyes, M., Riegler, M.A., Wiesenfarth, M., Kavur, A.E., Sudre, C.H., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Radsch, T., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Blaschko, M.B., Cardoso, M.J., Cheplygina, V., Cimini, B.A., Collins, G.S., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Haase, R., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Karthikesalingam, A., Kofler, F., Kopp-Schneider, A., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Mattson, P., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rajpoot, N., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Smeden, M. van, Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., and Jager, P.F.

Abstract

Contains fulltext : 305368.pdf (Publisher’s version ) (Closed access), Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest, and thus fail to adequately measure scientific progress and hinder translation of ML techniques into practice. To overcome this, we created Metrics Reloaded, a comprehensive framework guiding researchers in the problem-aware selection of metrics. Developed by a large international consortium in a multistage Delphi process, it is based on the novel concept of a problem fingerprint-a structured representation of the given problem that captures all aspects that are relevant for metric selection, from the domain interest to the properties of the target structure(s), dataset and algorithm output. On the basis of the problem fingerprint, users are guided through the process of choosing and applying appropriate validation metrics while being made aware of potential pitfalls. Metrics Reloaded targets image analysis problems that can be interpreted as classification tasks at image, object or pixel level, namely image-level classification, object detection, semantic segmentation and instance segmentation tasks. To improve the user experience, we implemented the framework in the Metrics Reloaded online tool. Following the convergence of ML methodology across application domains, Metrics Reloaded fosters the convergence of validation methodology. Its applicability is demonstrated for various biomedical use cases.

Published
2024

2. Understanding metric-related pitfalls in image analysis validation

Author

Reinke, A., Tizabi, M.D., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Kavur, A.E., Radsch, T., Sudre, C.H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M.J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B.A., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Glocker, B., Godau, P., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Isensee, F., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S.M., Rajpoot, N., Reyes, M., Riegler, M.A., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., Yaniv, Z.R., Jager, P.F., Maier-Hein, L., Reinke, A., Tizabi, M.D., Baumgartner, M., Eisenmann, M., Heckmann-Notzel, D., Kavur, A.E., Radsch, T., Sudre, C.H., Acion, L., Antonelli, M., Arbel, T., Bakas, S., Benis, A., Buettner, F., Cardoso, M.J., Cheplygina, V., Chen, J., Christodoulou, E., Cimini, B.A., Farahani, K., Ferrer, L., Galdran, A., Ginneken, B. van, Glocker, B., Godau, P., Hashimoto, D.A., Hoffman, M.M., Huisman, M., Isensee, F., Jannin, P., Kahn, C.E., Kainmueller, D., Kainz, B., Karargyris, A., Kleesiek, J., Kofler, F., Kooi, T., Kopp-Schneider, A., Kozubek, M., Kreshuk, A., Kurc, T., Landman, B.A., Litjens, G.J., Madani, A., Maier-Hein, K., Martel, A.L., Meijering, E., Menze, B., Moons, K.G., Muller, H., Nichyporuk, B., Nickel, F., Petersen, J., Rafelski, S.M., Rajpoot, N., Reyes, M., Riegler, M.A., Rieke, N., Saez-Rodriguez, J., Sanchez, C.I., Shetty, S., Summers, R.M., Taha, A.A., Tiulpin, A., Tsaftaris, S.A., Calster, B. van, Varoquaux, G., Yaniv, Z.R., Jager, P.F., and Maier-Hein, L.

Abstract

Contains fulltext : 305370.pdf (Publisher’s version ) (Closed access), Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence research and its translation into practice. However, increasing evidence shows that, particularly in image analysis, metrics are often chosen inadequately. Although taking into account the individual strengths, weaknesses and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multistage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides a reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. Although focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation.

Published
2024

3. Exploratory Multisite Magnetic Resonance Spectroscopic Imaging Shows White Matter Neuroaxonal Loss Associated with Complications of Type 1 Diabetes in Children

Author

Cai, L.Y., primary, Tanase, C., additional, Anderson, A.W., additional, Patel, N.J., additional, Lee, C.A., additional, Jones, R.S., additional, LeStourgeon, L.M., additional, Mahon, A., additional, Taki, I., additional, Juvera, J., additional, Pruthi, S., additional, Gwal, K., additional, Ozturk, A., additional, Kang, H., additional, Rewers, A., additional, Rewers, M.J., additional, Alonso, G.T., additional, Glaser, N., additional, Ghetti, S., additional, Jaser, S.S., additional, Landman, B.A., additional, and Jordan, L.C., additional

Published
2023
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5. Hierarchical spherical deformation for cortical surface registration

Author

Lyu, I., Landman, B.A., Styner, M.A., Kang, H., and Woodward, N.D.

Abstract

We present hierarchical spherical deformation for a group-wise shape correspondence to address template selection bias and to minimize registration distortion. In this work, we aim at a continuous and smooth deformation field to guide accurate cortical surface registration. In conventional spherical registration methods, a global rigid alignment and local deformation are independently performed. Motivated by the composition of precession and intrinsic rotation, we simultaneously optimize global rigid rotation and non-rigid local deformation by utilizing spherical harmonics interpolation of local composite rotations in a single framework. To this end, we indirectly encode local displacements by such local composite rotations as functions of spherical locations. Furthermore, we introduce an additional regularization term to the spherical deformation, which maximizes its rigidity while reducing registration distortion. To improve surface registration performance, we employ the second order approximation of the energy function that enables fast convergence of the optimization. In the experiments, we validate our method on healthy normal subjects with manual cortical surface parcellation in registration accuracy and distortion. We show an improved shape correspondence with high accuracy in cortical surface parcellation and significantly low registration distortion in surface area and edge length. In addition to validation, we discuss parameter tuning, optimization, and implementation design with potential acceleration.

Published
2019
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6. TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction

Author

Landman, B.A., Kim, S.H., Lyu, I., Styner, M.A., and Woodward, N.D.

Abstract

A proper geometric representation of the cortical regions is a fundamental task for cortical shape analysis and landmark extraction. However, a significant challenge has arisen due to the highly variable, convoluted cortical folding patterns. In this paper, we propose a novel topological graph representation for automatic sulcal curve extraction (TRACE). In practice, the reconstructed surface suffers from noise influences introduced during image acquisition/surface reconstruction. In the presence of noise on the surface, TRACE determines stable sulcal fundic regions by employing the line simplification method that prevents the sulcal folding pattern from being significantly smoothed out. The sulcal curves are then traced over the connected graph in the determined regions by the Dijkstra's shortest path algorithm. For validation, we used the state-of-the-art surface reconstruction pipelines on a reproducibility data set. The experimental results showed higher reproducibility and robustness to noise in TRACE than the existing method (Li et al. 2010) with over 20% relative improvement in error for both surface reconstruction pipelines. In addition, the extracted sulcal curves by TRACE were well-aligned with manually delineated primary sulcal curves. We also provided a choice of parameters to control quality of the extracted sulcal curves and showed the influences of the parameter selection on the resulting curves.

Published
2018
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7. Why rankings of biomedical image analysis competitions should be interpreted with care

Author

Maier-Hein, L. (Lena), Eisenmann, M. (Matthias), Reinke, A. (Annika), Onogur, S. (Sinan), Stankovic, M. (Marko), Scholz, P. (Patrick), Arbel, T. (Tal), Bogunović, H. (Hrvoje), Bradley, A.P. (Andrew P.), Carass, A. (Aaron), Feldmann, C. (Carolin), Frangi, A.F. (Alejandro), Full, P.M. (Peter M.), Ginneken, B.T.J. (Berbke) van, Hanbury, A. (Allan), Honauer, K. (Katrin), Kozubek, M. (Michal), Landman, B.A. (Bennett), März, K. (Keno), Maier, O. (Oskar), Maier-Hein, K. (Klaus), Menze, B.H. (Bjoern H.), Müller, H. (Henning), Neher, P.F. (Peter F.), Niessen, W.J. (Wiro), Rajpoot, N. (Nasir), Sharp, G.C. (Gregory C.), Sirinukunwattana, K. (Korsuk), Speidel, S. (Stefanie), Stock, C. (Christian), Stoyanov, D. (Danail), Taha, A.A. (Abdel Aziz), van der Sommen, F. (Fons), Wang, C.-W. (Ching-Wei), Weber, M.-A. (Marc-André), Zheng, G. (Guoyan), Jannin, P. (Pierre), Kopp-Schneider, A. (Annette), Maier-Hein, L. (Lena), Eisenmann, M. (Matthias), Reinke, A. (Annika), Onogur, S. (Sinan), Stankovic, M. (Marko), Scholz, P. (Patrick), Arbel, T. (Tal), Bogunović, H. (Hrvoje), Bradley, A.P. (Andrew P.), Carass, A. (Aaron), Feldmann, C. (Carolin), Frangi, A.F. (Alejandro), Full, P.M. (Peter M.), Ginneken, B.T.J. (Berbke) van, Hanbury, A. (Allan), Honauer, K. (Katrin), Kozubek, M. (Michal), Landman, B.A. (Bennett), März, K. (Keno), Maier, O. (Oskar), Maier-Hein, K. (Klaus), Menze, B.H. (Bjoern H.), Müller, H. (Henning), Neher, P.F. (Peter F.), Niessen, W.J. (Wiro), Rajpoot, N. (Nasir), Sharp, G.C. (Gregory C.), Sirinukunwattana, K. (Korsuk), Speidel, S. (Stefanie), Stock, C. (Christian), Stoyanov, D. (Danail), Taha, A.A. (Abdel Aziz), van der Sommen, F. (Fons), Wang, C.-W. (Ching-Wei), Weber, M.-A. (Marc-André), Zheng, G. (Guoyan), Jannin, P. (Pierre), and Kopp-Schneider, A. (Annette)

Abstract

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet been performed. In this paper, we present a comprehensive analysis of biomedical image analysis challenges conducted up to now. We demonstrate the importance of challenges and show that the lack of quality control has critical consequences. First, reproducibility and interpretation of the results is often hampered as only a fraction of relevant information is typically provided. Second, the rank of an algorithm is generally not robust to a number of variables such as the test data used for validation, the ranking scheme applied and the observers that make the reference annotations. To overcome these problems, we recommend best practice guidelines and define open research questions to be addressed in the future.

Published
2018
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9. The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

Author

Thompson, P.M. (Paul), Stein, J.L., Medland, S.E. (Sarah), Hibar, D.P. (Derrek), Vásquez, A.A. (Arias), Rentería, M.E. (Miguel), Toro, R. (Roberto), Jahanshad, N. (Neda), Schumann, G. (Gunter), Franke, B. (Barbara), Wright, M.J. (Margaret), Martin, N.G. (Nicholas), Agartz, I. (Ingrid), Alda, M. (Martin), Alhusaini, S. (Saud), Almasy, L. (Laura), Alpert, K. (Kathryn), Andreasen, N.C., Andreassen, O.A. (Ole), Apostolova, L.G. (Liana), Appel, K. (Katja), Armstrong, N.J. (Nicola), Aribisala, B. (Benjamin), Bastin, M.E. (Mark), Bauer, M. (Michael), Bearden, C.E. (Carrie), Bergmann, Ø. (Ørjan), Binder, E.B. (Elisabeth), Blangero, J. (John), Bockholt, H.J., Bøen, E. (Erlend), Bois, M. (Monique), Boomsma, D.I. (Dorret), Booth, T. (Tom), Bowman, I.J. (Ian), Bralten, L.B.C. (Linda), Brouwer, R.M. (Rachel), Brunner, H.G., Brohawn, D.G. (David), Buckner, M., Buitelaar, J.K. (Jan), Bulayeva, K. (Kazima), Bustillo, J., Calhoun, V.D. (Vince), Cannon, D.M. (Dara), Cantor, R.M., Carless, M.A. (Melanie), Caseras, X. (Xavier), Cavalleri, G. (Gianpiero), Chakravarty, M.M. (M. Mallar), Chang, K.D. (Kiki), Ching, C.R.K. (Christopher), Christoforou, A. (Andrea), Cichon, S. (Sven), Clark, V.P., Conrod, P. (Patricia), Coppola, D. (Domenico), Crespo-Facorro, B. (Benedicto), Curran, J.E. (Joanne), Czisch, M. (Michael), Deary, I.J. (Ian), Geus, E.J.C. (Eco) de, Braber, A. (Anouk) den, Delvecchio, G. (Giuseppe), Depondt, C. (Chantal), Haan, L. (Lieuwe) de, Zubicaray, G.I. (Greig) de, Dima, D. (Danai), Dimitrova, R. (Rali), Djurovic, S. (Srdjan), Dong, H. (Hongwei), Donohoe, D.J. (Dennis), Duggirala, A. (Aparna), Dyer, M.D. (Matthew), Ehrlich, S.M. (Stefan), Ekman, C.J. (Carl Johan), Elvsåshagen, T. (Torbjørn), Emsell, L. (Louise), Erk, S., Espeseth, T. (Thomas), Fagerness, J. (Jesen), Fears, S. (Scott), Fedko, I. (Iryna), Fernandez, G. (Guillén), Fisher, S.E. (Simon), Foroud, T. (Tatiana), Fox, P.T. (Peter), Francks, C. (Clyde), Frangou, S. (Sophia), Frey, E.M. (Eva Maria), Frodl, T. (Thomas), Frouin, V. (Vincent), Garavan, H. (Hugh), Giddaluru, S. (Sudheer), Glahn, D.C. (David), Godlewska, B. (Beata), Goldstein, R.Z. (Rita), Gollub, R.L. (Randy), Grabe, H.J. (Hans Jörgen), Grimm, O. (Oliver), Gruber, O. (Oliver), Guadalupe, T. (Tulio), Gur, R.E. (Raquel), Gur, R.C. (Ruben), Göring, H.H.H. (Harald), Hagenaars, S. (Saskia), Hajek, T. (Tomas), Hall, G.B. (Garry), Hall, J. (Jeremy), Hardy, J. (John), Hartman, C.A. (Catharina), Hass, J. (Johanna), Hatton, W., Haukvik, U.K. (Unn), Hegenscheid, K. (Katrin), Heinz, J. (Judith), Hickie, I.B. (Ian), Ho, B.C. (Beng ), Hoehn, D. (David), Hoekstra, P.J. (Pieter), Hollinshead, M. (Marisa), Holmes, A.J. (Avram), Homuth, G. (Georg), Hoogman, M. (Martine), Hong, L.E. (L.Elliot), Hosten, N. (Norbert), Hottenga, J.J. (Jouke Jan), Hulshoff Pol, H.E. (Hilleke), Hwang, K.S. (Kristy), Jack Jr., C.R. (Clifford), Jenkinson, S. (Sarah), Johnston, C., Jönsson, E.G. (Erik), Kahn, R.S. (René), Kasperaviciute, D. (Dalia), Kelly, S. (Steve), Kim, S. (Shinseog), Kochunov, P. (Peter), Koenders, L. (Laura), Krämer, B. (Bernd), Kwok, J.B.J. (John), Lagopoulos, J. (Jim), Laje, G. (Gonzalo), Landén, M. (Mikael), Landman, B.A. (Bennett), Lauriello, J., Lawrie, S. (Stephen), Lee, P.H. (Phil), Le Hellard, S. (Stephanie), Lemaître, H. (Herve), Leonardo, C.D. (Cassandra), Li, C.-S. (Chiang-shan), Liberg, B. (Benny), Liewald, D.C.M. (David), Liu, X. (Xinmin), Lopez, L.M. (Lorna), Loth, E. (Eva), Lourdusamy, A. (Anbarasu), Luciano, M. (Michelle), MacCiardi, F. (Fabio), Machielsen, M.W.J. (Marise), MacQueen, G.M. (Glenda), Malt, U.F. (Ulrik), Mandl, R. (René), Manoach, D.S. (Dara), Martinot, J.-L. (Jean-Luc), Matarin, M. (Mar), Mather, R., Mattheisen, M. (Manuel), Mattingsdal, M. (Morten), Meyer-Lindenberg, A., McDonald, C. (Colm), McIntosh, A.M. (Andrew), Mcmahon, F.J. (Francis J), Mcmahon, K.L. (Katie), Meisenzahl, E. (Eva), Melle, I. (Ingrid), Milaneschi, Y. (Yuri), Mohnke, S. (Sebastian), Montgomery, G.W. (Grant), Morris, D.W. (Derek W), Moses, E.K. (Eric), Mueller, B.A. (Bryon ), Muñoz Maniega, S. (Susana), Mühleisen, T.W. (Thomas), Müller-Myhsok, B. (Bertram), Mwangi, B. (Benson), Nauck, M. (Matthias), Nho, K. (Kwangsik), Nichols, T.E. (Thomas), Nilsson, L.G., Nugent, A.C. (Allison), Nyberg, L. (Lisa), Olvera, R.L. (Rene), Oosterlaan, J. (Jaap), Ophoff, R.A. (Roel), Pandolfo, M. (Massimo), Papalampropoulou-Tsiridou, M. (Melina), Papmeyer, M. (Martina), Paus, T. (Tomas), Pausova, Z. (Zdenka), Pearlson, G. (Godfrey), Penninx, B.W.J.H. (Brenda), Peterson, C.P. (Charles), Pfennig, A. (Andrea), Phillips, M. (Mary), Pike, G.B. (G Bruce), Poline, J.B. (Jean Baptiste), Potkin, S.G. (Steven), Pütz, B. (Benno), Ramasamy, A. (Adaikalavan), Rasmussen, J. (Jerod), Rietschel, M. (Marcella), Rijpkema, M. (Mark), Risacher, S.L. (Shannon), Roffman, J.L. (Joshua), Roiz-Santiañez, R. (Roberto), Romanczuk-Seiferth, N. (Nina), Rose, E.J. (Emma), Royle, N.A. (Natalie), Rujescu, D. (Dan), Ryten, M. (Mina), Sachdev, P.S. (Perminder), Salami, A. (Alireza), Satterthwaite, T.D. (Theodore), Savitz, J. (Jonathan), Saykin, A.J. (Andrew), Scanlon, C. (Cathy), Schmaal, L. (Lianne), Schnack, H. (Hugo), Schork, N.J. (Nicholas), Schulz, S.C. (S.Charles), Schür, R. (Remmelt), Seidman, L.J. (Larry), Shen, L. (Li), Shoemaker, L. (Lawrence), Simmons, A. (Andrew), Sisodiya, S.M. (Sanjay), Smith, C. (Colin), Smoller, J.W., Soares, J.C. (Jair), Sponheim, S.R. (Scott), Sprooten, R. (Roy), Starr, J.M. (John), Steen, V.M. (Vidar), Strakowski, S. (Stephen), Strike, L.T. (Lachlan), Sussmann, J. (Jessika), Sämann, P.G. (Philipp), Teumer, A. (Alexander), Toga, A.W. (Arthur), Tordesillas-Gutierrez, D. (Diana), Trabzuni, D. (Danyah), Trost, S. (Sarah), Turner, J. (Jessica), Heuvel, M. (Martijn) van den, Wee, N.J. (Nic) van der, Eijk, K.R. (Kristel) van, Erp, T.G.M. (Theo G.) van, Haren, N.E.M. (Neeltje E.) van, Ent, D. (Dennis) van 't, Tol, M.J.D. (Marie-José) van, Valdés Hernández, M.C. (Maria), Veltman, D.J. (Dick), Versace, A. (Amelia), Völzke, H. (Henry), Walker, R. (Robert), Walter, H.J. (Henrik), Wang, L. (Lei), Wardlaw, J.M. (J.), Weale, M.E. (Michael), Weiner, M.W. (Michael), Wen, W. (Wei), Westlye, L.T. (Lars), Whalley, H.C. (Heather), Whelan, C.D. (Christopher), White, T.J.H. (Tonya), Winkler, A.M. (Anderson), Wittfeld, K. (Katharina), Woldehawariat, G. (Girma), Björnsson, A. (Asgeir), Zilles, D. (David), Zwiers, M.P. (Marcel), Thalamuthu, A. (Anbupalam), Almeida, J.R. (Jorge), Schofield, C.J. (Christopher), Freimer, N.B. (Nelson), Lawrence, N.S. (Natalia), Drevets, D.A. (Douglas), Thompson, P.M. (Paul), Stein, J.L., Medland, S.E. (Sarah), Hibar, D.P. (Derrek), Vásquez, A.A. (Arias), Rentería, M.E. (Miguel), Toro, R. (Roberto), Jahanshad, N. (Neda), Schumann, G. (Gunter), Franke, B. (Barbara), Wright, M.J. (Margaret), Martin, N.G. (Nicholas), Agartz, I. (Ingrid), Alda, M. (Martin), Alhusaini, S. (Saud), Almasy, L. (Laura), Alpert, K. (Kathryn), Andreasen, N.C., Andreassen, O.A. (Ole), Apostolova, L.G. (Liana), Appel, K. (Katja), Armstrong, N.J. (Nicola), Aribisala, B. (Benjamin), Bastin, M.E. (Mark), Bauer, M. (Michael), Bearden, C.E. (Carrie), Bergmann, Ø. (Ørjan), Binder, E.B. (Elisabeth), Blangero, J. (John), Bockholt, H.J., Bøen, E. (Erlend), Bois, M. (Monique), Boomsma, D.I. (Dorret), Booth, T. (Tom), Bowman, I.J. (Ian), Bralten, L.B.C. (Linda), Brouwer, R.M. (Rachel), Brunner, H.G., Brohawn, D.G. (David), Buckner, M., Buitelaar, J.K. (Jan), Bulayeva, K. (Kazima), Bustillo, J., Calhoun, V.D. (Vince), Cannon, D.M. (Dara), Cantor, R.M., Carless, M.A. (Melanie), Caseras, X. (Xavier), Cavalleri, G. (Gianpiero), Chakravarty, M.M. (M. Mallar), Chang, K.D. (Kiki), Ching, C.R.K. (Christopher), Christoforou, A. (Andrea), Cichon, S. (Sven), Clark, V.P., Conrod, P. (Patricia), Coppola, D. (Domenico), Crespo-Facorro, B. (Benedicto), Curran, J.E. (Joanne), Czisch, M. (Michael), Deary, I.J. (Ian), Geus, E.J.C. (Eco) de, Braber, A. (Anouk) den, Delvecchio, G. (Giuseppe), Depondt, C. (Chantal), Haan, L. (Lieuwe) de, Zubicaray, G.I. (Greig) de, Dima, D. (Danai), Dimitrova, R. (Rali), Djurovic, S. (Srdjan), Dong, H. (Hongwei), Donohoe, D.J. (Dennis), Duggirala, A. (Aparna), Dyer, M.D. (Matthew), Ehrlich, S.M. (Stefan), Ekman, C.J. (Carl Johan), Elvsåshagen, T. (Torbjørn), Emsell, L. (Louise), Erk, S., Espeseth, T. (Thomas), Fagerness, J. (Jesen), Fears, S. (Scott), Fedko, I. (Iryna), Fernandez, G. (Guillén), Fisher, S.E. (Simon), Foroud, T. (Tatiana), Fox, P.T. (Peter), Francks, C. (Clyde), Frangou, S. (Sophia), Frey, E.M. (Eva Maria), Frodl, T. (Thomas), Frouin, V. (Vincent), Garavan, H. (Hugh), Giddaluru, S. (Sudheer), Glahn, D.C. (David), Godlewska, B. (Beata), Goldstein, R.Z. (Rita), Gollub, R.L. (Randy), Grabe, H.J. (Hans Jörgen), Grimm, O. (Oliver), Gruber, O. (Oliver), Guadalupe, T. (Tulio), Gur, R.E. (Raquel), Gur, R.C. (Ruben), Göring, H.H.H. (Harald), Hagenaars, S. (Saskia), Hajek, T. (Tomas), Hall, G.B. (Garry), Hall, J. (Jeremy), Hardy, J. (John), Hartman, C.A. (Catharina), Hass, J. (Johanna), Hatton, W., Haukvik, U.K. (Unn), Hegenscheid, K. (Katrin), Heinz, J. (Judith), Hickie, I.B. (Ian), Ho, B.C. (Beng ), Hoehn, D. (David), Hoekstra, P.J. (Pieter), Hollinshead, M. (Marisa), Holmes, A.J. (Avram), Homuth, G. (Georg), Hoogman, M. (Martine), Hong, L.E. (L.Elliot), Hosten, N. (Norbert), Hottenga, J.J. (Jouke Jan), Hulshoff Pol, H.E. (Hilleke), Hwang, K.S. (Kristy), Jack Jr., C.R. (Clifford), Jenkinson, S. (Sarah), Johnston, C., Jönsson, E.G. (Erik), Kahn, R.S. (René), Kasperaviciute, D. (Dalia), Kelly, S. (Steve), Kim, S. (Shinseog), Kochunov, P. (Peter), Koenders, L. (Laura), Krämer, B. (Bernd), Kwok, J.B.J. (John), Lagopoulos, J. (Jim), Laje, G. (Gonzalo), Landén, M. (Mikael), Landman, B.A. (Bennett), Lauriello, J., Lawrie, S. (Stephen), Lee, P.H. (Phil), Le Hellard, S. (Stephanie), Lemaître, H. (Herve), Leonardo, C.D. (Cassandra), Li, C.-S. (Chiang-shan), Liberg, B. (Benny), Liewald, D.C.M. (David), Liu, X. (Xinmin), Lopez, L.M. (Lorna), Loth, E. (Eva), Lourdusamy, A. (Anbarasu), Luciano, M. (Michelle), MacCiardi, F. (Fabio), Machielsen, M.W.J. (Marise), MacQueen, G.M. (Glenda), Malt, U.F. (Ulrik), Mandl, R. (René), Manoach, D.S. (Dara), Martinot, J.-L. (Jean-Luc), Matarin, M. (Mar), Mather, R., Mattheisen, M. (Manuel), Mattingsdal, M. (Morten), Meyer-Lindenberg, A., McDonald, C. (Colm), McIntosh, A.M. (Andrew), Mcmahon, F.J. (Francis J), Mcmahon, K.L. (Katie), Meisenzahl, E. (Eva), Melle, I. (Ingrid), Milaneschi, Y. (Yuri), Mohnke, S. (Sebastian), Montgomery, G.W. (Grant), Morris, D.W. (Derek W), Moses, E.K. (Eric), Mueller, B.A. (Bryon ), Muñoz Maniega, S. (Susana), Mühleisen, T.W. (Thomas), Müller-Myhsok, B. (Bertram), Mwangi, B. (Benson), Nauck, M. (Matthias), Nho, K. (Kwangsik), Nichols, T.E. (Thomas), Nilsson, L.G., Nugent, A.C. (Allison), Nyberg, L. (Lisa), Olvera, R.L. (Rene), Oosterlaan, J. (Jaap), Ophoff, R.A. (Roel), Pandolfo, M. (Massimo), Papalampropoulou-Tsiridou, M. (Melina), Papmeyer, M. (Martina), Paus, T. (Tomas), Pausova, Z. (Zdenka), Pearlson, G. (Godfrey), Penninx, B.W.J.H. (Brenda), Peterson, C.P. (Charles), Pfennig, A. (Andrea), Phillips, M. (Mary), Pike, G.B. (G Bruce), Poline, J.B. (Jean Baptiste), Potkin, S.G. (Steven), Pütz, B. (Benno), Ramasamy, A. (Adaikalavan), Rasmussen, J. (Jerod), Rietschel, M. (Marcella), Rijpkema, M. (Mark), Risacher, S.L. (Shannon), Roffman, J.L. (Joshua), Roiz-Santiañez, R. (Roberto), Romanczuk-Seiferth, N. (Nina), Rose, E.J. (Emma), Royle, N.A. (Natalie), Rujescu, D. (Dan), Ryten, M. (Mina), Sachdev, P.S. (Perminder), Salami, A. (Alireza), Satterthwaite, T.D. (Theodore), Savitz, J. (Jonathan), Saykin, A.J. (Andrew), Scanlon, C. (Cathy), Schmaal, L. (Lianne), Schnack, H. (Hugo), Schork, N.J. (Nicholas), Schulz, S.C. (S.Charles), Schür, R. (Remmelt), Seidman, L.J. (Larry), Shen, L. (Li), Shoemaker, L. (Lawrence), Simmons, A. (Andrew), Sisodiya, S.M. (Sanjay), Smith, C. (Colin), Smoller, J.W., Soares, J.C. (Jair), Sponheim, S.R. (Scott), Sprooten, R. (Roy), Starr, J.M. (John), Steen, V.M. (Vidar), Strakowski, S. (Stephen), Strike, L.T. (Lachlan), Sussmann, J. (Jessika), Sämann, P.G. (Philipp), Teumer, A. (Alexander), Toga, A.W. (Arthur), Tordesillas-Gutierrez, D. (Diana), Trabzuni, D. (Danyah), Trost, S. (Sarah), Turner, J. (Jessica), Heuvel, M. (Martijn) van den, Wee, N.J. (Nic) van der, Eijk, K.R. (Kristel) van, Erp, T.G.M. (Theo G.) van, Haren, N.E.M. (Neeltje E.) van, Ent, D. (Dennis) van 't, Tol, M.J.D. (Marie-José) van, Valdés Hernández, M.C. (Maria), Veltman, D.J. (Dick), Versace, A. (Amelia), Völzke, H. (Henry), Walker, R. (Robert), Walter, H.J. (Henrik), Wang, L. (Lei), Wardlaw, J.M. (J.), Weale, M.E. (Michael), Weiner, M.W. (Michael), Wen, W. (Wei), Westlye, L.T. (Lars), Whalley, H.C. (Heather), Whelan, C.D. (Christopher), White, T.J.H. (Tonya), Winkler, A.M. (Anderson), Wittfeld, K. (Katharina), Woldehawariat, G. (Girma), Björnsson, A. (Asgeir), Zilles, D. (David), Zwiers, M.P. (Marcel), Thalamuthu, A. (Anbupalam), Almeida, J.R. (Jorge), Schofield, C.J. (Christopher), Freimer, N.B. (Nelson), Lawrence, N.S. (Natalia), and Drevets, D.A. (Douglas)

Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

Published
2014
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10. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Author

Thompson, P.M., Stein, J.L., Medland, S.E., Hibar, D.P., Vasquez, A.A., Renteria, M.E., Toro, R., Jahanshad, N., Schumann, G., Franke, B., Wright, M.J., Martin, N.G., Agartz, I., Alda, M., Alhusaini, S., Almasy, L., Almeida, J., Alpert, K., Andreasen, N.C., Andreassen, O.A., Apostolova, L.G., Appel, K., Armstrong, N.J., Aribisala, B., Bastin, M.E., Bauer, M., Bearden, C.E., Bergmann, O., Binder, E.B., Blangero, J., Bockholt, H.J., Boen, E., Bois, C., Boomsma, D.I., Booth, T., Bowman, I.J., Bralten, J., Brouwer, R.M., Brunner, H.G., Brohawn, D.G., Buckner, R.L., Buitelaar, J., Bulayeva, K., Bustillo, J.R., Calhoun, V.D., Cannon, D.M., Cantor, R.M., Carless, M.A., Caseras, X., Cavalleri, G.L., Chakravarty, M.M., Chang, K.D., Ching, C.R., Christoforou, A., Cichon, S., Clark, V.P., Conrod, P., Coppola, G., Crespo-Facorro, B., Curran, J.E., Czisch, M., Deary, I.J., de Geus, E.J., den Braber, A., Delvecchio, G., Depondt, C., de Haan, L., de Zubicaray, G.I., Dima, D., Dimitrova, R., Djurovic, S., Dong, H., Donohoe, G., Duggirala, R., Dyer, T.D., Ehrlich, S., Ekman, C.J., Elvsashagen, T., Emsell, L., Erk, S., Espeseth, T., Fagerness, J., Fears, S., Fedko, I., Fernandez, G., Fisher, S.E., Foroud, T., Fox, P.T., Francks, C., Frangou, S., Frey, E.M., Frodl, T., Frouin, V., Garavan, H., Giddaluru, S., Glahn, D.C., Godlewska, B., Goldstein, R.Z., Gollub, R.L., Grabe, H.J., Grimm, O., Gruber, O., Guadalupe, T., Gur, R.E., Gur, R.C., Goring, H.H., Hagenaars, S., Hajek, T., Hall, G.B., Hall, J., Hardy, J., Hartman, C.A., Hass, J., Hatton, S.N., Haukvik, U.K., Hegenscheid, K., Heinz, A., Hickie, I.B., Ho, B.C., Hoehn, D., Hoekstra, P.J., Hollinshead, M., Holmes, A.J., Homuth, G., Hoogman, M., Hong, L.E., Hosten, N., Hottenga, J.J., Hulshoff Pol, H.E., Hwang, K.S., Jack, C.R., Jenkinson, M., Johnston, C., Jonsson, E.G., Kahn, R.S., Kasperaviciute, D., Kelly, S., Kim, S., Kochunov, P., Koenders, L., Kramer, B., Kwok, J.B., Lagopoulos, J., Laje, G., Landen, M., Landman, B.A., Lauriello, J., Lawrie, S.M., Lee, P.H., Le Hellard, S., Lemaitre, H., Leonardo, C.D., Li, C.S., Liberg, B., Liewald, D.C., Liu, X., Lopez, L.M., Loth, E., Lourdusamy, A., Luciano, M., Macciardi, F., Machielsen, M.W., Macqueen, G.M., Malt, U.F., Mandl, R., Manoach, D.S., Martinot, J.L., Matarin, M., Mather, K.A., Mattheisen, M., Mattingsdal, M., Meyer-Lindenberg, A., McDonald, C., McIntosh, A.M., McMahon, F.J., McMahon, K.L., Meisenzahl, E., Melle, I., Milaneschi, Y., Mohnke, S., Montgomery, G.W., Morris, D.W., Moses, E.K., Mueller, B.A., Munoz Maniega, S., Muhleisen, T.W., Muller-Myhsok, B., Mwangi, B., Nauck, M., Nho, K., Nichols, T.E., Nilsson, L.G., Nugent, A.C., Nyberg, L., Olvera, R.L., Oosterlaan, J., Ophoff, R.A., Pandolfo, M., Papalampropoulou-Tsiridou, M., Papmeyer, M., Paus, T., Pausova, Z., Pearlson, G.D., Penninx, B.W., Peterson, C.P., Pfennig, A., Phillips, M., Pike, G.B., Poline, J.B., Potkin, S.G., Putz, B., Ramasamy, A., Rasmussen, J., Rietschel, M., Rijpkema, M., Risacher, S.L., Roffman, J.L., Roiz-Santianez, R., Romanczuk-Seiferth, N., Rose, E.J., Royle, N.A., Rujescu, D., Ryten, M., Sachdev, P.S., Salami, A., Satterthwaite, T.D., Savitz, J., Saykin, A.J., Scanlon, C., Schmaal, L., Schnack, H.G., Schork, A.J., Schulz, S.C., Schur, R., Seidman, L., Shen, L., Shoemaker, J.M., Simmons, A., Sisodiya, S.M., Smith, C., Smoller, J.W., Soares, J.C., Sponheim, S.R., Sprooten, E., Starr, J.M., Steen, V.M., Strakowski, S., Strike, L., Sussmann, J., Samann, P.G., Teumer, A., Toga, A.W., Tordesillas-Gutierrez, D., Trabzuni, D., Trost, S., Turner, J., Van den Heuvel, M., van der Wee, N.J., van Eijk, K., van Erp, T.G., van Haren, N.E., van 't Ent, D., van Tol, M.J., Valdes Hernandez, M.C., Veltman, D.J., Versace, A., Volzke, H., Walker, R., Walter, H., Wang, L., Wardlaw, J.M., Weale, M.E., Weiner, M.W., Wen, W., Westlye, L.T., Whalley, H.C., Whelan, C.D., White, T., Winkler, A.M., Wittfeld, K., Woldehawariat, G., Wolf, C., Zilles, D., Zwiers, M.P., Thalamuthu, A., Schofield, P.R., Freimer, N.B., Lawrence, N.S., Drevets, W., Thompson, P.M., Stein, J.L., Medland, S.E., Hibar, D.P., Vasquez, A.A., Renteria, M.E., Toro, R., Jahanshad, N., Schumann, G., Franke, B., Wright, M.J., Martin, N.G., Agartz, I., Alda, M., Alhusaini, S., Almasy, L., Almeida, J., Alpert, K., Andreasen, N.C., Andreassen, O.A., Apostolova, L.G., Appel, K., Armstrong, N.J., Aribisala, B., Bastin, M.E., Bauer, M., Bearden, C.E., Bergmann, O., Binder, E.B., Blangero, J., Bockholt, H.J., Boen, E., Bois, C., Boomsma, D.I., Booth, T., Bowman, I.J., Bralten, J., Brouwer, R.M., Brunner, H.G., Brohawn, D.G., Buckner, R.L., Buitelaar, J., Bulayeva, K., Bustillo, J.R., Calhoun, V.D., Cannon, D.M., Cantor, R.M., Carless, M.A., Caseras, X., Cavalleri, G.L., Chakravarty, M.M., Chang, K.D., Ching, C.R., Christoforou, A., Cichon, S., Clark, V.P., Conrod, P., Coppola, G., Crespo-Facorro, B., Curran, J.E., Czisch, M., Deary, I.J., de Geus, E.J., den Braber, A., Delvecchio, G., Depondt, C., de Haan, L., de Zubicaray, G.I., Dima, D., Dimitrova, R., Djurovic, S., Dong, H., Donohoe, G., Duggirala, R., Dyer, T.D., Ehrlich, S., Ekman, C.J., Elvsashagen, T., Emsell, L., Erk, S., Espeseth, T., Fagerness, J., Fears, S., Fedko, I., Fernandez, G., Fisher, S.E., Foroud, T., Fox, P.T., Francks, C., Frangou, S., Frey, E.M., Frodl, T., Frouin, V., Garavan, H., Giddaluru, S., Glahn, D.C., Godlewska, B., Goldstein, R.Z., Gollub, R.L., Grabe, H.J., Grimm, O., Gruber, O., Guadalupe, T., Gur, R.E., Gur, R.C., Goring, H.H., Hagenaars, S., Hajek, T., Hall, G.B., Hall, J., Hardy, J., Hartman, C.A., Hass, J., Hatton, S.N., Haukvik, U.K., Hegenscheid, K., Heinz, A., Hickie, I.B., Ho, B.C., Hoehn, D., Hoekstra, P.J., Hollinshead, M., Holmes, A.J., Homuth, G., Hoogman, M., Hong, L.E., Hosten, N., Hottenga, J.J., Hulshoff Pol, H.E., Hwang, K.S., Jack, C.R., Jenkinson, M., Johnston, C., Jonsson, E.G., Kahn, R.S., Kasperaviciute, D., Kelly, S., Kim, S., Kochunov, P., Koenders, L., Kramer, B., Kwok, J.B., Lagopoulos, J., Laje, G., Landen, M., Landman, B.A., Lauriello, J., Lawrie, S.M., Lee, P.H., Le Hellard, S., Lemaitre, H., Leonardo, C.D., Li, C.S., Liberg, B., Liewald, D.C., Liu, X., Lopez, L.M., Loth, E., Lourdusamy, A., Luciano, M., Macciardi, F., Machielsen, M.W., Macqueen, G.M., Malt, U.F., Mandl, R., Manoach, D.S., Martinot, J.L., Matarin, M., Mather, K.A., Mattheisen, M., Mattingsdal, M., Meyer-Lindenberg, A., McDonald, C., McIntosh, A.M., McMahon, F.J., McMahon, K.L., Meisenzahl, E., Melle, I., Milaneschi, Y., Mohnke, S., Montgomery, G.W., Morris, D.W., Moses, E.K., Mueller, B.A., Munoz Maniega, S., Muhleisen, T.W., Muller-Myhsok, B., Mwangi, B., Nauck, M., Nho, K., Nichols, T.E., Nilsson, L.G., Nugent, A.C., Nyberg, L., Olvera, R.L., Oosterlaan, J., Ophoff, R.A., Pandolfo, M., Papalampropoulou-Tsiridou, M., Papmeyer, M., Paus, T., Pausova, Z., Pearlson, G.D., Penninx, B.W., Peterson, C.P., Pfennig, A., Phillips, M., Pike, G.B., Poline, J.B., Potkin, S.G., Putz, B., Ramasamy, A., Rasmussen, J., Rietschel, M., Rijpkema, M., Risacher, S.L., Roffman, J.L., Roiz-Santianez, R., Romanczuk-Seiferth, N., Rose, E.J., Royle, N.A., Rujescu, D., Ryten, M., Sachdev, P.S., Salami, A., Satterthwaite, T.D., Savitz, J., Saykin, A.J., Scanlon, C., Schmaal, L., Schnack, H.G., Schork, A.J., Schulz, S.C., Schur, R., Seidman, L., Shen, L., Shoemaker, J.M., Simmons, A., Sisodiya, S.M., Smith, C., Smoller, J.W., Soares, J.C., Sponheim, S.R., Sprooten, E., Starr, J.M., Steen, V.M., Strakowski, S., Strike, L., Sussmann, J., Samann, P.G., Teumer, A., Toga, A.W., Tordesillas-Gutierrez, D., Trabzuni, D., Trost, S., Turner, J., Van den Heuvel, M., van der Wee, N.J., van Eijk, K., van Erp, T.G., van Haren, N.E., van 't Ent, D., van Tol, M.J., Valdes Hernandez, M.C., Veltman, D.J., Versace, A., Volzke, H., Walker, R., Walter, H., Wang, L., Wardlaw, J.M., Weale, M.E., Weiner, M.W., Wen, W., Westlye, L.T., Whalley, H.C., Whelan, C.D., White, T., Winkler, A.M., Wittfeld, K., Woldehawariat, G., Wolf, C., Zilles, D., Zwiers, M.P., Thalamuthu, A., Schofield, P.R., Freimer, N.B., Lawrence, N.S., and Drevets, W.

Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

Published
2014

11. Transcriptomics of cortical gray matter thickness decline during normal aging

Author

Kochunov, P., primary, Charlesworth, J., additional, Winkler, A., additional, Hong, L.E., additional, Nichols, T.E., additional, Curran, J.E., additional, Sprooten, E., additional, Jahanshad, N., additional, Thompson, P.M., additional, Johnson, M.P., additional, Kent, J.W., additional, Landman, B.A., additional, Mitchell, B., additional, Cole, S.A., additional, Dyer, T.D., additional, Moses, E.K., additional, Goring, H.H.H., additional, Almasy, L., additional, Duggirala, R., additional, Olvera, R.L., additional, Glahn, D.C., additional, and Blangero, J., additional

Published
2013
Full Text
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