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2. A burden of rare copy number variants in obsessive-compulsive disorder

Author

Halvorsen, Matthew W., de Schipper, Elles, Bäckman, Julia, Strom, Nora I., Hagen, Kristen, Lindblad-Toh, Kerstin, Karlsson, Elinor K., Pedersen, Nancy L., Wallert, John, Bulik, Cynthia M., Fundín, Bengt, Landén, Mikael, Kvale, Gerd, Hansen, Bjarne, Haavik, Jan, Mattheisen, Manuel, Rück, Christian, Mataix-Cols, David, and Crowley, James J.

Published
2024
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3. Genome-Wide Association Study of Obsessive-Compulsive Symptoms including 33,943 individuals from the general population

Author

Strom, Nora I., Burton, Christie L., Iyegbe, Conrad, Silzer, Talisa, Antonyan, Lilit, Pool, René, Lemire, Mathieu, Crowley, James J., Hottenga, Jouke-Jan, Ivanov, Volen Z., Larsson, Henrik, Lichtenstein, Paul, Magnusson, Patrik, Rück, Christian, Schachar, Russell, Wu, Hei Man, Cath, Danielle, Crosbie, Jennifer, Mataix-Cols, David, Boomsma, Dorret I., Mattheisen, Manuel, Meier, Sandra M., Smit, Dirk J. A., and Arnold, Paul D.

Published
2024
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4. Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition

Author

Vazquez-Rodriguez, Juan, Lefebvre, Grégoire, Cumin, Julien, and Crowley, James L.

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning
Abstract

Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities. But what if some modalities are sometimes missing? To address this problem, we propose a novel Transformer-based architecture for recognizing valence and arousal in a time-continuous manner even with missing input modalities. We use a coupling of cross-attention and self-attention mechanisms to emphasize relationships between modalities during time and enhance the learning process on weak salient inputs. Experimental results on the Ulm-TSST dataset show that our model exhibits an improvement of the concordance correlation coefficient evaluation of 37% when predicting arousal values and 30% when predicting valence values, compared to a late-fusion baseline approach.

Published
2023

5. Chronostratigraphy of Miocene strata in the Berkeley Hills (California Coast Ranges, USA) and the arrival of the San Andreas transform boundary

Author

Gerasimov, Stacey H, Hodgin, Eben B, Crowley, James L, and Swanson-Hysell, Nicholas L

Subjects
Physical Geography and Environmental Geoscience, Earth Sciences, Geochemistry, Geology, Geophysics, Geochemistry & Geophysics
Abstract

Miocene strata of the Claremont, Orinda, and Moraga formations of the Berkeley Hills (California Coast Ranges, USA) record sedimentation and volcanism during the passage of the Mendocino triple junction and early evolution of the San Andreas fault system. Detrital zircon laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) age spectra indicate a change in sedimentary prove nance between the marine Claremont formation (Monterey Group) and the terrestrial Orinda and Moraga Formations associated with uplift of Franciscan Complex lithologies. A sandstone from the Claremont formation produced a detrital zircon chemical abrasion–isotope dilution–thermal ionization mass spec trometry (CA-ID-TIMS) maximum depositional age of 13.298 ± 0.046 Ma, indicating younger Claremont deposition than previously interpreted. A trachydacite tuff clast within the uppermost Orinda Formation yielded a CA-ID-TIMS U-Pb zircon date of 10.094 ± 0.018 Ma, and a dacitic tuff within the Moraga Formation produced a CA-ID-TIMS U-Pb zircon date of 9.974 ± 0.014 Ma. These results indicate rapid progression from subsidence in which deep-water siliceous sediments of the Claremont formation were deposited to uplift that was followed by subsidence during deposition of terrestrial sediments of the Orinda Forma tion and subsequent eruption of the Moraga Formation volcanics. We associate the Orinda tuff clast and Moraga volcanics with slab-gap volcanism that followed the passage of the Mendocino triple junction. Given the necessary time lag between triple junction passage and the removal of the slab that led to this volcanism, subsidence associated with ca. 13 Ma Claremont sedimentation and subsequent Orinda to Moraga deposition can be attributed to basin formation along the newly arrived transform boundary.

Published
2024

6. An evolutionary perspective on complex neuropsychiatric disease.

Author

McClellan, Jon, Zoghbi, Anthony, Buxbaum, Joseph, Cappi, Carolina, Crowley, James, Flint, Jonathan Frederic Rest, Grice, Dorothy, Gulsuner, Suleyman, Iyegbe, Conrad, Jain, Sanjeev, Kuo, Po-Hsiu, Lattig, Maria, Passos-Bueno, Maria, Purushottam, Meera, Stein, Dan, Sunshine, Anna, Susser, Ezra, Walsh, Christopher, Wootton, Olivia, and King, Mary-Claire

Subjects
22q11 deletion, OCD, assortative mating, autism, bipolar disorder, causality, clinical heterogeneity, complex neuropsychiatric disease, consanguinity, de novo mutation, evolution, genetic drift, genetics, genomics, migration, polygenic inheritance, rare alleles, schizophrenia, selection, somatic mutation, Humans, Mutation, Mental Disorders
Abstract

The forces of evolution-mutation, selection, migration, and genetic drift-shape the genetic architecture of human traits, including the genetic architecture of complex neuropsychiatric illnesses. Studying these illnesses in populations that are diverse in genetic ancestry, historical demography, and cultural history can reveal how evolutionary forces have guided adaptation over time and place. A fundamental truth of shared human biology is that an allele responsible for a disease in anyone, anywhere, reveals a gene critical to the normal biology underlying that condition in everyone, everywhere. Understanding the genetic causes of neuropsychiatric disease in the widest possible range of human populations thus yields the greatest possible range of insight into genes critical to human brain development. In this perspective, we explore some of the relationships between genes, adaptation, and history that can be illuminated by an evolutionary perspective on studies of complex neuropsychiatric disease in diverse populations.

Published
2024

7. Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals

Author

Vazquez-Rodriguez, Juan, Lefebvre, Grégoire, Cumin, Julien, and Crowley, James L

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals. We demonstrate that a Transformer-based approach is suitable for this task. In addition, we present how such models may be pretrained in a multimodal scenario to improve emotion recognition performances. We evaluate the benefits of using multimodal inputs and pre-training with our approach on a state-ofthe-art dataset.

Published
2022

8. A Hierarchical Framework for Collaborative Artificial Intelligence

Author

Crowley, James L., Coutaz, Joëlle L, Grosinger, Jasmin, Vázquez-Salceda, Javier, Angulo, Cecilio, Sanfeliu, Alberto, Iocchi, Luca, and Cohn, Anthony G.

Subjects
Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, Computer Science - Multiagent Systems, Computer Science - Robotics
Abstract

We propose a hierarchical framework for collaborative intelligent systems. This framework organizes research challenges based on the nature of the collaborative activity and the information that must be shared, with each level building on capabilities provided by lower levels. We review research paradigms at each level, with a description of classical engineering-based approaches and modern alternatives based on machine learning, illustrated with a running example using a hypothetical personal service robot. We discuss cross-cutting issues that occur at all levels, focusing on the problem of communicating and sharing comprehension, the role of explanation and the social nature of collaboration. We conclude with a summary of research challenges and a discussion of the potential for economic and societal impact provided by technologies that enhance human abilities and empower people and society through collaboration with Intelligent Systems.

Published
2022

9. Observed Rate Variation in Superflaring G-type Stars

Author

Crowley, James, Wheatland, Michael S., and Yang, Kai

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

Flare occurrence on the Sun is highly variable, exhibiting both short term variation due to the emergence and evolution of active regions, and long-term variation from the solar cycle. On solar-like stars, much larger stellar flares (superflares) have been observed, and it is of interest to determine whether observed rates of superflare occurrence exhibit similar variability to solar flares. We analyse 274 G-type stars using data from the Transiting Exoplanet Survey Satellite (TESS) and identify seven stars which exhibit statistically significant changes in the rate of superflare occurrence by fitting a piecewise constant-rate model with the Bayesian Blocks algorithm (Scargle et al 2012; arXiv:1207.5578). We investigate the properties of these stars and their flaring rates, and discuss the possible reasons for the low number of stars with detectable rate variation., Comment: 18 pages, 13 figures, ApJ Accepted 2022-11-21

Published
2022
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11. TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut

Author

Wang, Yangtao, Shen, Xi, Yuan, Yuan, Du, Yuming, Li, Maomao, Hu, Shell Xu, Crowley, James L, and Vaufreydaz, Dominique

Subjects
Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

In this paper, we describe a graph-based algorithm that uses the features obtained by a self-supervised transformer to detect and segment salient objects in images and videos. With this approach, the image patches that compose an image or video are organised into a fully connected graph, where the edge between each pair of patches is labeled with a similarity score between patches using features learned by the transformer. Detection and segmentation of salient objects is then formulated as a graph-cut problem and solved using the classical Normalized Cut algorithm. Despite the simplicity of this approach, it achieves state-of-the-art results on several common image and video detection and segmentation tasks. For unsupervised object discovery, this approach outperforms the competing approaches by a margin of 6.1%, 5.7%, and 2.6%, respectively, when tested with the VOC07, VOC12, and COCO20K datasets. For the unsupervised saliency detection task in images, this method improves the score for Intersection over Union (IoU) by 4.4%, 5.6% and 5.2%. When tested with the ECSSD, DUTS, and DUT-OMRON datasets, respectively, compared to current state-of-the-art techniques. This method also achieves competitive results for unsupervised video object segmentation tasks with the DAVIS, SegTV2, and FBMS datasets., Comment: arXiv admin note: text overlap with arXiv:2202.11539

Published
2022

13. Reply to the discussion by Hadlari on 'age and significance of the fire bay assemblage: an Ordovician arc fragment within the Clements Markham belt, northwestern Ellesmere Island, Canada'

Author

Strauss, Justin V., Faehnrich, Karol, Koch, Megan M., Crowley, James L., MeLchin, Michael J., and Beranek, Luke P.

Subjects
Faults (Geology) -- Environmental aspects, Geology, Stratigraphic -- Analysis, Fossils -- Composition
Abstract

Key words: Ordovician arcs, U/Pb dating, Pearya terrane accretion, Ellesmere Island, Hadlari (2023) offers an interpretation of relationships in the Fire Bay area of northern Ellesmere Island, NU, Canada, that differs from the interpretations and conclusions of Koch et al. (2022), [...]

Published
2023
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15. Transformer-Based Self-Supervised Learning for Emotion Recognition

Author

Vazquez-Rodriguez, Juan, Lefebvre, Grégoire, Cumin, Julien, and Crowley, James L.

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract

In order to exploit representations of time-series signals, such as physiological signals, it is essential that these representations capture relevant information from the whole signal. In this work, we propose to use a Transformer-based model to process electrocardiograms (ECG) for emotion recognition. Attention mechanisms of the Transformer can be used to build contextualized representations for a signal, giving more importance to relevant parts. These representations may then be processed with a fully-connected network to predict emotions. To overcome the relatively small size of datasets with emotional labels, we employ self-supervised learning. We gathered several ECG datasets with no labels of emotion to pre-train our model, which we then fine-tuned for emotion recognition on the AMIGOS dataset. We show that our approach reaches state-of-the-art performances for emotion recognition using ECG signals on AMIGOS. More generally, our experiments show that transformers and pre-training are promising strategies for emotion recognition with physiological signals.

Published
2022

16. Common Genetic Variation and Age of Onset of Anorexia Nervosa.

Author

Watson, Hunna J, Thornton, Laura M, Yilmaz, Zeynep, Baker, Jessica H, Coleman, Jonathan RI, Adan, Roger AH, Alfredsson, Lars, Andreassen, Ole A, Ask, Helga, Berrettini, Wade H, Boehnke, Michael, Boehm, Ilka, Boni, Claudette, Buehren, Katharina, Bulant, Josef, Burghardt, Roland, Chang, Xiao, Cichon, Sven, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, de Zwaan, Martina, Dedoussis, George, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Djurovic, Srdjan, Dmitrzak-Weglarz, Monika, Docampo-Martinez, Elisa, Duriez, Philibert, Egberts, Karin, Ehrlich, Stefan, Eriksson, Johan G, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Fernández-Aranda, Fernando, Fichter, Manfred M, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Frei, Oleksandr, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Gratacòs, Mònica, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hauser, Joanna, Havdahl, Alexandra, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hinney, Anke, Hübel, Christopher, Hudson, James I, Imgart, Hartmut, Jamain, Stephanie, Janout, Vladimir, Jiménez-Murcia, Susana, Jones, Ian R, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaprio, Jaakko, Karhunen, Leila, Kas, Martien JH, Keel, Pamela K, Kennedy, James L, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Klareskog, Lars, Klump, Kelly L, Knudsen, Gun Peggy S, La Via, Maria C, Le Hellard, Stephanie, Leboyer, Marion, Li, Dong, Lilenfeld, Lisa, Lin, Bochao, Lissowska, Jolanta, Luykx, Jurjen, Magistretti, Pierre, Maj, Mario, Marsal, Sara, Marshall, Christian R, Mattingsdal, Morten, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, Karen S, and Monteleone, Alessio Maria

Subjects
Age of onset, Anorexia nervosa, Early-onset, GWAS, Genetic risk score, Genetics, Menarche, Mendelian randomization, Puberty, Mental Health, Human Genome, Eating Disorders, Anorexia, Brain Disorders, Pediatric, Prevention, Aetiology, 2.1 Biological and endogenous factors
Abstract

BackgroundGenetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche.MethodsA secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (

Published
2022

17. Composing Complex and Hybrid AI Solutions

Author

Schüller, Peter, Costeira, João Paolo, Crowley, James, Grosinger, Jasmin, Ingrand, Félix, Köckemann, Uwe, Saffiotti, Alessandro, and Welss, Martin

Subjects
Computer Science - Artificial Intelligence
Abstract

Progress in several areas of computer science has been enabled by comfortable and efficient means of experimentation, clear interfaces, and interchangable components, for example using OpenCV for computer vision or ROS for robotics. We describe an extension of the Acumos system towards enabling the above features for general AI applications. Originally, Acumos was created for telecommunication purposes, mainly for creating linear pipelines of machine learning components. Our extensions include support for more generic components with gRPC/Protobuf interfaces, automatic orchestration of graphically assembled solutions including control loops, sub-component topologies, and event-based communication,and provisions for assembling solutions which contain user interfaces and shared storage areas. We provide examples of deployable solutions and their interfaces. The framework is deployed at http://aiexp.ai4europe.eu/ and its source code is managed as an open source Eclipse project.

Published
2022

18. Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

Author

Wang, Yangtao, Shen, Xi, Hu, Shell, Yuan, Yuan, Crowley, James, and Vaufreydaz, Dominique

Subjects
Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning
Abstract

Transformers trained with self-supervised learning using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects. In this paper, we demonstrate a graph-based approach that uses the self-supervised transformer features to discover an object from an image. Visual tokens are viewed as nodes in a weighted graph with edges representing a connectivity score based on the similarity of tokens. Foreground objects can then be segmented using a normalized graph-cut to group self-similar regions. We solve the graph-cut problem using spectral clustering with generalized eigen-decomposition and show that the second smallest eigenvector provides a cutting solution since its absolute value indicates the likelihood that a token belongs to a foreground object. Despite its simplicity, this approach significantly boosts the performance of unsupervised object discovery: we improve over the recent state of the art LOST by a margin of 6.9%, 8.1%, and 8.1% respectively on the VOC07, VOC12, and COCO20K. The performance can be further improved by adding a second stage class-agnostic detector (CAD). Our proposed method can be easily extended to unsupervised saliency detection and weakly supervised object detection. For unsupervised saliency detection, we improve IoU for 4.9%, 5.2%, 12.9% on ECSSD, DUTS, DUT-OMRON respectively compared to previous state of the art. For weakly supervised object detection, we achieve competitive performance on CUB and ImageNet.

Published
2022

20. Making killers: Imperatives for tank lane training

Author

Crowley, James C., LtCol, Ret

Subjects
ARMORED WARFARE - Study and Teaching, ATTACK AND DEFENSE (MILITARY SCIENCE) - Study and Teaching, ARMOR - United States - Study and Teaching, TANK CREWS - Training
Abstract

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Published
1997

21. Genome-Wide Association Study Points to Novel Locus for Gilles de la Tourette Syndrome

Author

Barr, Cathy L., Batterson, James R., Berlin, Cheston, Budman, Cathy L., Coppola, Giovanni, Cox, Nancy J., Darrow, Sabrina, Dion, Yves, Freimer, Nelson B., Grados, Marco A., Greenberg, Erica, Hirschtritt, Matthew E., Huang, Alden Y., Illmann, Cornelia, King, Robert A., Kurlan, Roger, Leckman, James F., Lyon, Gholson J., Malaty, Irene A., McMahon, William M., Neale, Benjamin M., Okun, Michael S., Osiecki, Lisa, Robertson, Mary M., Rouleau, Guy A., Sandor, Paul, Singer, Harvey S., Smit, Jan H., Sul, Jae Hoon, Androutsos, Christos, Basha, Entela, Farkas, Luca, Fichna, Jakub, Janik, Piotr, Kapisyzi, Mira, Karagiannidis, Iordanis, Koumoula, Anastasia, Nagy, Peter, Puchala, Joanna, Szejko, Natalia, Szymanska, Urszula, Tsironi, Vaia, Apter, Alan, Ball, Juliane, Bodmer, Benjamin, Bognar, Emese, Buse, Judith, Vela, Marta Correa, Fremer, Carolin, Garcia-Delgar, Blanca, Gulisano, Mariangela, Hagen, Annelieke, Hagstrøm, Julie, Madruga-Garrido, Marcos, Pellico, Alessandra, Ruhrman, Daphna, Schnell, Jaana, Silvestri, Paola Rosaria, Skov, Liselotte, Steinberg, Tamar, Gloor, Friederike Tagwerker, Turner, Victoria L., Weidinger, Elif, Alexander, John, Aranyi, Tamas, Buisman, Wim R., Buitelaar, Jan K., Driessen, Nicole, Drineas, Petros, Fan, Siyan, Forde, Natalie J., Gerasch, Sarah, van den Heuvel, Odile A., Jespersgaard, Cathrine, Kanaan, Ahmad S., Möller, Harald E., Nawaz, Muhammad S., Nespoli, Ester, Pagliaroli, Luca, Poelmans, Geert, Pouwels, Petra J.W., Rizzo, Francesca, Veltman, Dick J., van der Werf, Ysbrand D., Widomska, Joanna, Zilhäo, Nuno R., Brown, Lawrence W., Cheon, Keun-Ah, Coffey, Barbara J., Fernandez, Thomas V., Gilbert, Donald L., Hong, Hyun Ju, Ibanez-Gomez, Laura, Kim, Eun-Joo, Kim, Young Key, Kim, Young-Shin, Koh, Yun-Joo, Kook, Sodahm, Kuperman, Samuel, Leventhal, Bennett L., Maras, Athanasios, Murphy, Tara L., Shin, Eun-Young, Song, Dong-Ho, Song, Jungeun, State, Matthew W., Visscher, Frank, Wang, Sheng, Zinner, Samuel H., Tsetsos, Fotis, Topaloudi, Apostolia, Jain, Pritesh, Yang, Zhiyu, Yu, Dongmei, Kolovos, Petros, Tumer, Zeynep, Rizzo, Renata, Hartmann, Andreas, Depienne, Christel, Worbe, Yulia, Müller-Vahl, Kirsten R., Cath, Danielle C., Boomsma, Dorret I., Wolanczyk, Tomasz, Zekanowski, Cezary, Barta, Csaba, Nemoda, Zsofia, Tarnok, Zsanett, Padmanabhuni, Shanmukha S., Buxbaum, Joseph D., Grice, Dorothy, Glennon, Jeffrey, Stefansson, Hreinn, Hengerer, Bastian, Yannaki, Evangelia, Stamatoyannopoulos, John A., Benaroya-Milshtein, Noa, Cardona, Francesco, Hedderly, Tammy, Heyman, Isobel, Huyser, Chaim, Mir, Pablo, Morer, Astrid, Mueller, Norbert, Munchau, Alexander, Plessen, Kerstin J., Porcelli, Cesare, Roessner, Veit, Walitza, Susanne, Schrag, Anette, Martino, Davide, Tischfield, Jay A., Heiman, Gary A., Willsey, A. Jeremy, Dietrich, Andrea, Davis, Lea K., Crowley, James J., Mathews, Carol A., Scharf, Jeremiah M., Georgitsi, Marianthi, Hoekstra, Pieter J., and Paschou, Peristera

Published
2024
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24. ARFID Genes and Environment (ARFID-GEN): study protocol

Author

Bulik, Cynthia M., Micali, Nadia, MacDermod, Casey M., Qi, Baiyu, Munn-Chernoff, Melissa A., Thornton, Laura M., White, Jennifer, Dinkler, Lisa, Pisetsky, Emily M., Johnson, Jessica, Devine, Katelin R., Ortiz, Shelby N., Silverman, Ava E., Berthold, Natasha, Dumain, Alexis, Guintivano, Jerry, Halvorsen, Matthew, and Crowley, James J.

Published
2023
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26. Generative Networks and the AutoEncoder

Author

Crowley, James L., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chetouani, Mohamed, editor, Dignum, Virginia, editor, Lukowicz, Paul, editor, and Sierra, Carles, editor

Published
2023
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27. Convolutional Neural Networks

Author

Crowley, James L., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chetouani, Mohamed, editor, Dignum, Virginia, editor, Lukowicz, Paul, editor, and Sierra, Carles, editor

Published
2023
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28. Machine Learning with Neural Networks

Author

Crowley, James L., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chetouani, Mohamed, editor, Dignum, Virginia, editor, Lukowicz, Paul, editor, and Sierra, Carles, editor

Published
2023
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30. Genome-Wide Association Study Meta-Analysis of 9619 Cases With Tic Disorders

Author

Yu, Dongmei, Sul, Jae Hoon, Tsetsos, Fotis, Nawaz, Muhammad S., Huang, Alden Y., Zelaya, Ivette, Illmann, Cornelia, Osiecki, Lisa, Darrow, Sabrina M., Hirschtritt, Matthew E., Greenberg, Erica, Muller-Vahl, Kirsten R., Stuhrmann, Manfred, Dion, Yves, Rouleau, Guy, Aschauer, Harald, Stamenkovic, Mara, Schlögelhofer, Monika, Sandor, Paul, Barr, Cathy L., Grados, Marco, Singer, Harvey S., Nöthen, Markus M., Hebebrand, Johannes, Hinney, Anke, King, Robert A., Fernandez, Thomas V., Barta, Csaba, Tarnok, Zsanett, Nagy, Peter, Depienne, Christel, Worbe, Yulia, Hartmann, Andreas, Budman, Cathy L., Rizzo, Renata, Lyon, Gholson J., McMahon, William M., Batterson, James R., Cath, Danielle C., Malaty, Irene A., Okun, Michael S., Berlin, Cheston, Woods, Douglas W., Lee, Paul C., Jankovic, Joseph, Robertson, Mary M., Gilbert, Donald L., Brown, Lawrence W., Coffey, Barbara J., Dietrich, Andrea, Hoekstra, Pieter J., Kuperman, Samuel, Zinner, Samuel H., Luðvigsson, Pétur, Sæmundsen, Evald, Thorarensen, Ólafur, Atzmon, Gil, Barzilai, Nir, Wagner, Michael, Moessner, Rainald, Ophoff, Roel, Pato, Carlos N., Pato, Michele T., Knowles, James A., Roffman, Joshua L., Smoller, Jordan W., Buckner, Randy L., Willsey, Jeremy A., Tischfield, Jay A., Heiman, Gary A., Stefansson, Hreinn, Stefansson, Kári, Posthuma, Danielle, Cox, Nancy J., Pauls, David L., Freimer, Nelson B., Neale, Benjamin M., Davis, Lea K., Paschou, Peristera, Coppola, Giovanni, Mathews, Carol A., Scharf, Jeremiah M., Agee, Michelle, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Hicks, Barry, Huber, Karen E., Jewett, Ethan M., Jiang, Yunxuan, Kleinman, Aaron, Lin, Keng-Han, Litterman, Nadia K., McCreight, Jey C., McIntyre, Matthew H., McManus, Kimberly F., Mountain, Joanna L., Noblin, Elizabeth S., Northover, Carrie A.M., Pitts, Steven J., Poznik, G. David, Sathirapongsasuti, J. Fah, Shelton, Janie F., Shringarpure, Suyash, Tung, Joyce Y., Vacic, Vladimir, Wang, Xin, Strom, Nora I., Halvorsen, Matthew W., Grove, Jakob, Ásbjörnsdóttir, Bergrún, Luðvígsson, Pétur, de Schipper, Elles, Bäckmann, Julia, Andrén, Per, Tian, Chao, Als, Thomas Damm, Nissen, Judith Becker, Meier, Sandra M., Bybjerg-Grauholm, Jonas, Hougaard, David M., Werge, Thomas, Børglum, Anders D., Hinds, David A., Rück, Christian, Mataix-Cols, David, Stefánsson, Hreinn, Stefansson, Kari, Crowley, James J., and Mattheisen, Manuel

Published
2024
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32. Development of a standardized histopathology scoring system for intervertebral disc degeneration and regeneration in rabbit models-An initiative of the ORSspine section.

Author

Gullbrand, Sarah E, Ashinsky, Beth G, Lai, Alon, Gansau, Jennifer, Crowley, James, Cunha, Carla, Engiles, Julie B, Fusellier, Marion, Muehleman, Carol, Pelletier, Matthew, Presciutti, Steven, Schol, Jordy, Takeoka, Yoshiki, Yurube, Takashi, Zhang, Yejia, Masuda, Koichi, and Iatridis, James C

Subjects
histology, histology grading scale, histopathology, intervertebral disc degeneration, intervertebral disc regeneration, rabbit
Abstract

BackgroundThe rabbit lumbar spine is a commonly utilized model for studying intervertebral disc degeneration and for the pre-clinical evaluation of regenerative therapies. Histopathology is the foundation for which alterations to disc morphology and cellularity with degeneration, or following repair or treatment are assessed. Despite this, no standardized histology grading scale has yet been established for the spine field for any of the frequently utilized animal models.AimsThe purpose of this study was to establish a new standardized scoring system to assess disc degeneration and regeneration in the rabbit model.Materials and methodsThe scoring system was formulated following a review of the literature and a survey of spine researchers. Validation of the scoring system was carried out using images provided by 4 independent laboratories, which were graded by 12 independent graders of varying experience levels. Reliability testing was performed via the computation of intra-class correlation coefficients (ICC) for each category and the total score. The scoring system was then further refined based on the results of the ICC analysis and discussions amongst the authors.ResultsThe final general scoring system involves scoring 7 features (nucleus pulposus shape, area, cellularity and matrix condensation, annulus fibrosus/nucleus pulposus border appearance, annulus fibrosus morphology, and endplate sclerosis/thickening) on a 0 (healthy) to 2 (severe degeneration) scale. ICCs demonstrated overall moderate to good agreement across graders. An addendum to the main scoring system is also included for use in studies evaluating regenerative therapeutics, which involves scoring cell cloning and morphology within the nucleus pulposus and inner annulus fibrosus.DiscussionOverall, this new scoring system provides an avenue to improve standardization, allow a more accurate comparison between labs and more robust evaluation of pathophysiology and regenerative treatments across the field.ConclusionThis study developed a histopathology scoring system for degeneration and regeneration in the rabbit model based on reported practice in the literature, a survey of spine researchers, and validation testing.

Published
2021

33. U-Pb zircon ages from metasedimentary and plutonic rocks in the Bras d'Or terrane of Cape Breton Island, Nova Scotia, Canada: insights into the Ediacaran--Cambrian tectonomagmatic evolution of Ganderia

Author

van Rooyen, Deanne, Barr, Sandra M., White, Chris E., and Crowley, James L.

Subjects
Zircon -- Testing, Geochronology -- Analysis, Metamorphism (Geology) -- Analysis, Uranium-lead dating -- Usage, Rocks, Metamorphic -- Composition, Earth sciences
Abstract

The Bras d'Or terrane of central Cape Breton Island, Nova Scotia, Canada, contains a well-preserved record of the Ediacaran to early Cambrian evolution of Ganderia, a Gondwana-derived terrane in the northern Appalachian orogen. A complex assemblage of low- to high-grade metasedimentary rocks has varied detrital zircon signatures from laser ablation inductively coupled plasma mass spectrometry U-Pb zircon dating, but combining three or more samples yielded representative age spectra that support correlation of the low- and high-grade metasedimentary rocks throughout the Bras d'Or terrane and the corresponding Ganderian Brookville terrane of southern New Brunswick. In quartzite samples from the McMillan Flowage Formation in the northwestern Bras d'Or terrane, the youngest detrital zircons have ages >900 Ma, in contrast to previously studied psammitic and semipelitic samples from correlative units in the eastern Bras d'Or terrane in which youngest detrital ages are 620-600 Ma. Both quartzite and semipelitic samples from the McMillan Flowage Formation contain Neoproterozoic dates from zircon rims, which reflect metamorphic overgrowths during peak metamorphism at ca. 550 Ma, providing a robust age for peak metamorphism in the Bras d'Or terrane that supports similar, albeit sparse, ages reported previously from monazite and titanite samples. This metamorphism is coeval with the emplacement of voluminous dioritic to granitic plutons that occur throughout the Bras d'Or terrane and form in an Andean-type continental margin subduction zone. New U-Pb zircon ages presented here from plutons in the northern Bras d'Or terrane, combined with previously published ages, are consistent with subduction-related magmatism and associated metamorphism between ca. 575 and 540 Ma. Key words: U-Pb geochronology, Appalachian metamorphism, Bras d'Or terrane, Cape Breton Island, McMillan Flowage Formation, detrital zircon, plutonic ages, Introduction The Bras d'Or terrane of central Cape Breton Island, Nova Scotia (Fig. 1), consists of mainly Ediacaran and Cambrian metamorphic and plutonic rocks overlain unconformably by Carboniferous sedimentary rocks [...]

Published
2023
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34. Precise U-Pb zircon dates from silicic super-eruptions during late Ediacaran extension in the Avalonian Caledonia terrane of southern New Brunswick, Canada

Author

Escribano, Alicia P., Barr, Sandra M., and Crowley, James L.

Subjects
Zircon -- Testing, Uranium-lead dating -- Methods, Earth sciences
Abstract

The Coldbrook Group and related plutons in the Caledonian Highlands of southern New Brunswick contain voluminous late Ediacaran silicic rocks formed in a magmatic event not recognized in other parts of Avalonia in the northern Appalachian orogen. To better constrain the age and origin of these rocks, we used U-Pb zircon dating by laser ablation inductively coupled plasma mass spectrometry to check for older inherited zircon and obtain trace element data, followed by chemical abrasion isotope dilution thermal ionization mass spectrometry (CA-TIMS) to obtain precise dates. Four silicic samples were dated from the Coldbrook Group, one from the Bonnell Brook pluton, and, for comparison, a felsic lithic-crystal tuff sample from the older arc-related Broad River Group. Overlapping CA-TIMS dates of 551.57 [+ or -] 0.23, 551.38 [+ or -] 0.24, and 551.70 [+ or -] 0.20 Ma for samples from the lower, middle, and upper Coldbrook Group, respectively, and 551.71 [+ or -] 0.19 Ma for granite from the Bonnell Brook pluton show that these units crystallized in 760 000 years or less, consistent with a super-eruption event. Rhyolite from the uppermost unit of the Coldbrook Group yielded a younger date of 549.18 [+ or -] 0.09 Ma, but the large extent of that unit is consistent with the possibility of a second younger super-eruption. The felsic lithic-crystal tuff sample from the Broad River Group yielded a date of 615.48 [+ or -] 0.16 Ma, consistent with previously published dates from that group and associated plutons. Differences in zircon chemistry between the Broad River Group sample and the late Ediacaran samples are consistent with the contrasting subduction-related vs within-plate extensional tectonic settings as suggested by previous studies of whole-rock petrological characteristics of the two age groups. Key words: U-Pb zircon dating, super-eruptions, late Ediacaran, Avalonia, zircon chemistry, Introduction The Caledonia terrane of southern New Brunswick, Canada, is a component of Avalonia in the northern Appalachian orogen (Fig. 1, inset). The original relations among the now-geographically separated parts [...]

Published
2023
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35. The Terreneuvian MacCodrum Brook section, Mira terrane, Cape Breton Island, Nova Scotia, Canada: age constraints from ash layers, organic-walled microfossils, and trace fossils

Author

Barr, Sandra M., White, Chris E., Palacios, Teodoro, Jensen, Soren, van Rooyen, Deanne, and Crowley, James L.

Subjects
Rock formations -- Environmental aspects, Geology, Stratigraphic -- Analysis, Formations (Geology) -- Environmental aspects, Microfossils -- Identification and classification, Earth sciences
Abstract

The MacCodrum Formation is a classical 'lower' Cambrian unit in southeastern Cape Breton Island stratigraphy, described since the 1800s. The age of this formation and its correlation with other Avalonian Cambrian units in eastern Newfoundland and southern New Brunswick have remained uncertain through numerous revisions. Here we present U-Pb CA-TIMS ages from an ash bed in the basal part of the MacCodrum Formation in its type-section on MacCodrum Brook that fix the maximum time of deposition at 531.86 [+ or -] 0.34 Ma. Organic-walled microfossils sampled throughout the MacCodrum Formation type-section yield acritarch taxa identifying the Asteridium-Comasphaerdium Zone, whereas the first acritarchs of the Skiagia-Fimbriaglomerella Zone appear in the overlying Canoe Brook Formation in other sections. The radiometric age and acritarch zonation place the MacCodrum Formation in the upper Fortunian, Cambrian Stage 2. Among trace fossils in the MacCodrum Formation, the meandering trace fossil Didymaulichnus dailyi comb. nov. is of particular note and morphologically identical to the type material from the lower part of the Ratcliffe Brook Formation in New Brunswick. The new radiometric and biostratigraphic data presented here provide the first firm constraints on the age of the MacCodrum Formation and enable more precise correlation with sections in southern New Brunswick and eastern Newfoundland. Key words: acritarch, trace fossils, Cambrian, U-Pb zircon, Avalonia, correlation, Introduction Cambrian rocks in southeastern Cape Breton Island, Nova Scotia (Fig. 1), have been visited and described by geologists since the 1800s (e.g., Fletcher 1878; Matthew 1903; Hutchinson 1952; Landing [...]

Published
2023
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37. Reply to the Discussion by Landing and Geyer on 'The Terreneuvian MacCodrum Brook section, Mira terrane, Cape Breton Island, Nova Scotia, Canada: age constraints from ash layers, organic-walled microfossils, and trace fossils'

Author

Barr, Sandra M., White, Chris E., Palacios, Teodoro, Jensen, Soren, van Rooyen, Deanne, and Crowley, James L.

Subjects
Zircon -- Composition -- Testing, Geology, Stratigraphic -- Analysis, Microfossils -- Composition -- Testing, Earth sciences
Abstract

Key words: acritarchs, trace fossils, Cambrian, U-Pb zircon, Avalonia, correlation, We thank Landing and Geyer for their Discussion of our paper, thus drawing further attention to its significance. We do not wish to engage in a detailed 'they say--we say' [...]

Published
2023
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38. Shared genetic risk between eating disorder‐ and substance‐use‐related phenotypes: Evidence from genome‐wide association studies

Author

Munn‐Chernoff, Melissa A, Johnson, Emma C, Chou, Yi‐Ling, Coleman, Jonathan RI, Thornton, Laura M, Walters, Raymond K, Yilmaz, Zeynep, Baker, Jessica H, Hübel, Christopher, Gordon, Scott, Medland, Sarah E, Watson, Hunna J, Gaspar, Héléna A, Bryois, Julien, Hinney, Anke, Leppä, Virpi M, Mattheisen, Manuel, Ripke, Stephan, Yao, Shuyang, Giusti‐Rodríguez, Paola, Hanscombe, Ken B, Adan, Roger AH, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole A, Berrettini, Wade H, Boehm, Ilka, Boni, Claudette, Perica, Vesna Boraska, Buehren, Katharina, Burghardt, Roland, Cassina, Matteo, Cichon, Sven, Clementi, Maurizio, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, Davis, Oliver SP, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Dmitrzak‐Weglarz, Monika, Docampo, Elisa, Duncan, Laramie E, Egberts, Karin, Ehrlich, Stefan, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Favaro, Angela, Fernández‐Aranda, Fernando, Fichter, Manfred M, Fischer, Krista, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Forzan, Monica, Franklin, Christopher S, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Mayora, Monica Gratacos, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz‐Dahlmann, Beate, Herzog, Wolfgang, Huckins, Laura M, Hudson, James I, Imgart, Hartmut, Inoko, Hidetoshi, Janout, Vladimir, Jiménez‐Murcia, Susana, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Karhunen, Leila, Karwautz, Andreas, Kas, Martien JH, Kennedy, James L, Keski‐Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl‐Ri, Klump, Kelly L, Knudsen, Gun Peggy S, and La Via, Maria C

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Epidemiology, Health Sciences, Psychology, Pharmacology and Pharmaceutical Sciences, Women's Health, Mental Health, Substance Misuse, Nutrition, Brain Disorders, Anorexia, Behavioral and Social Science, Serious Mental Illness, Mental Illness, Eating Disorders, Genetics, Alcoholism, Alcohol Use and Health, Human Genome, Clinical Research, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Alcoholism, Depressive Disorder, Major, Feeding and Eating Disorders, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Risk Factors, Schizophrenia, Substance-Related Disorders, Tobacco Use Disorder, eating disorders, genetic correlation, substance use, Medical and Health Sciences, Psychology and Cognitive Sciences, Substance Abuse, Biomedical and clinical sciences, Health sciences
Abstract

Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [rg ], twin-based = 0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance-use-related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism-based genetic correlations between eating disorder- and substance-use-related phenotypes. Significant positive genetic associations emerged between AUD and AN (rg = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN (rg = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating (rg = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating (rgs = -0.19 to -0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co-varying for major depressive disorder loci. The patterns of association between eating disorder- and substance-use-related phenotypes highlights the potentially complex and substance-specific relationships among these behaviors.

Published
2021

40. Recognizing Manipulation Actions from State-Transformations

Author

Aboubakr, Nachwa, Crowley, James L., and Ronfard, Remi

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Manipulation actions transform objects from an initial state into a final state. In this paper, we report on the use of object state transitions as a mean for recognizing manipulation actions. Our method is inspired by the intuition that object states are visually more apparent than actions from a still frame and thus provide information that is complementary to spatio-temporal action recognition. We start by defining a state transition matrix that maps action labels into a pre-state and a post-state. From each keyframe, we learn appearance models of objects and their states. Manipulation actions can then be recognized from the state transition matrix. We report results on the EPIC kitchen action recognition challenge., Comment: Accepted for presentation at EPIC@CVPR2019 workshop

Published
2019

41. Deep learning investigation for chess player attention prediction using eye-tracking and game data

Author

Louedec, Justin Le, Guntz, Thomas, Crowley, James, and Vaufreydaz, Dominique

Subjects
Statistics - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

This article reports on an investigation of the use of convolutional neural networks to predict the visual attention of chess players. The visual attention model described in this article has been created to generate saliency maps that capture hierarchical and spatial features of chessboard, in order to predict the probability fixation for individual pixels Using a skip-layer architecture of an autoencoder, with a unified decoder, we are able to use multiscale features to predict saliency of part of the board at different scales, showing multiple relations between pieces. We have used scan path and fixation data from players engaged in solving chess problems, to compute 6600 saliency maps associated to the corresponding chess piece configurations. This corpus is completed with synthetically generated data from actual games gathered from an online chess platform. Experiments realized using both scan-paths from chess players and the CAT2000 saliency dataset of natural images, highlights several results. Deep features, pretrained on natural images, were found to be helpful in training visual attention prediction for chess. The proposed neural network architecture is able to generate meaningful saliency maps on unseen chess configurations with good scores on standard metrics. This work provides a baseline for future work on visual attention prediction in similar contexts.

Published
2019
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42. Geochronology and geochemistry of zircon from Early to Middle Devonian granitic and felsic volcanic rocks from the Cashes Ledge igneous suite, central Gulf of Maine, USA

Author

Kuiper, Yvette D., Barr, Sandra M., Crowley, James L., and Souders, A. Kate

Subjects
Gulf of Maine -- Natural history, Zircon -- Environmental aspects -- Chemical properties, Volcanic ash, tuff, etc. -- Environmental aspects -- Chemical properties, Geochronology -- Research, Geochemistry -- Research, Geological research, Earth sciences
Abstract

New zircon U-Pb, trace element, and Lu-Hf laser ablation inductively coupled mass spectrometry (LA-ICP-MS) data are presented for five Early to Middle Devonian granitic and felsic volcanic rocks from the Cashes Ledge igneous suite, central Gulf of Maine, USA. These samples were previously analyzed by U-Pb LA-ICP-MS and whole-rock geochemical methods and the new data generally corroborate the earlier results. Coarse-grained alkali-feldspar granite from northwest of the Fundy magnetic anomaly, the interpreted fault boundary in the offshore between Gondwanan microcontinents Ganderia to the northwest and Avalonia to the southeast, yielded a crystallization age of 414 [+ or -] 2 Ma. Southeast of the inferred fault, crystallization ages are 385 [+ or -] 3 Ma and 386 [+ or -] 3 Ma for two crystal tuff samples near the fault, 403 [+ or -] 3 Ma for an alkali-feldspar granite -50 km southeast of the fault, and 399 [+ or -] 5 Ma for syenogranite ~25 km southeast of the fault, which also yielded inherited grains at ~1.3 Ga and between 613 [+ or -] 15 Ma and 558 [+ or -] 9 Ma. Lu-Hf LA-ICP-MS data for zircon retaining igneous crystallization ages have [[epsilon].sub.Hf(t)] between 2.9 and 13.1 and model ages based on felsic sources between 0.52 and 1.04 Ga, refLecting a mix of late Mesoproterozoic (Avalonian?) basement and primitive melt, possibly in an extensional setting. Zircon Nb/Hf ratios generally greater than 0.001 indicate a predominately within-plate/anorogenic/rifr setting, consistent with their whole-rock chemistry. U/Yb-Nb/Yb and U/Yb-Hf tectonic setting discrimination diagrams show ocean island to continental arc signatures, with a stronger continental arc signature for the syenogranite. Most zircon grains have Eu/Eu* values less than 0.1, indicating a crustal thickness of ~30 km or less at the time of their crystallization. De nouvelles donn es de datation U-Pb sur zircon, d'analyse d' l ments traces et de spectrom trie de masse plasma inductif et ablation par laser (LA-ICP-MS) des fins de datation par le Lu-Hf sont pr sent es par rapport cinq roches granitiques et volcanofelsiques du D vonien pr coce moyen provenant de la suite ign e Cashes Ledge, dans le centre du golfe du Maine, aux tats-Unis. Les chantillons en question avaient pr c demment t analys s par les m thodes de l' tude g ochimique sur roche totale et LA-ICP-MS de datation U-Pb, et les nouvelles donn es corroborent de fa on g n rale les r sultats ant rieurs. Le granite alcalo-feldspathique gros grains de l'anomalie magn tique du nord-ouest de Fundy, limite interpr t e de la faille au large entre les micro continents gondwaniens de Ganderia au nord-ouest et d'Avalonia au sud-est, a accus un ge de cristallisation de 414 [+ or -] 2 Ma. Au sud-est de la faille inf r e, les ges de la cristallisation sont de 385 [+ or -] 3 Ma et 386 [+ or -] 3 Ma dans le cas de deux chantillons de tuf cristallin pr s de la faille, 403 [+ or -] 3 Ma dans le cas d'un granite alcalo-feldspathique une cinquantaine de kilom tres au sud-est de la faille, et 399 [+ or -] 5 Ma dans le cas du sy nogranite environ 25 km au sudest de la faille, qui a aussi livr des grains h rit s d'environ 1,3 Ga et d'entre 613 [+ or -] 15 Ma et 558 [+ or -] 9 Ma. Les donn es LA-ICP-MS de datation par le Lu-Hf du zircon r v lant les ges de la cristallisation ign e situent les ges entre 2,9 et 13,1 s'inspirant de sources felsiques entre 0,52 et 1,04 Ga, ce qui t moigne d'un m lange d'une fusion primitive et d'une fusion du socle tardive m soprot rozoique (avalonienne?), possiblement dans un milieu d'extension. Les rapports Nb/Hf sur zircon g n ralement sup rieurs 0,001 signalent un milieu intraplaque/anorog nique/de rift correspondant la composition chimique de sa roche totale. Des sch mas de discrimination des milieux tectoniques U/Yb-Nb/Yb et U/Yb-Hf affichent des signatures d' les oc aniques et des arcs continentaux dans le cas du sy nogranite. La majorit des grains de zircon pr sentent des concentrations d'Eu/Eu* de moins de 0,1 t moignant d'une paisseur de la cro te d'une trentaine de kilom tres ou moins au moment de leur cristallisation., INTRODUCTION We obtained zircon U-Pb, trace element, and Lu-Hf laser ablation inductively coupled mass spectrometry (LA-ICP-MS) data to investigate the nature, tectonic setting, and basement of five Early to Middle [...]

Published
2023
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43. Examination of the shared genetic basis of anorexia nervosa and obsessive–compulsive disorder

Author

Yilmaz, Zeynep, Halvorsen, Matthew, Bryois, Julien, Yu, Dongmei, Thornton, Laura M, Zerwas, Stephanie, Micali, Nadia, Moessner, Rainald, Burton, Christie L, Zai, Gwyneth, Erdman, Lauren, Kas, Martien J, Arnold, Paul D, Davis, Lea K, Knowles, James A, Breen, Gerome, Scharf, Jeremiah M, Nestadt, Gerald, Mathews, Carol A, Bulik, Cynthia M, Mattheisen, Manuel, and Crowley, James J

Subjects
Biological Psychology, Clinical and Health Psychology, Psychology, Genetics, Serious Mental Illness, Nutrition, Brain Disorders, Anorexia, Human Genome, Prevention, Mental Health, Eating Disorders, 2.1 Biological and endogenous factors, Aetiology, Mental health, Anorexia Nervosa, Body Mass Index, Comorbidity, Genome-Wide Association Study, Humans, Obsessive-Compulsive Disorder, Phenotype, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Tourette Syndrome/Obsessive–Compulsive Disorder Working Group of the Psychiatric Genomics Consortium, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Anorexia nervosa (AN) and obsessive-compulsive disorder (OCD) are often comorbid and likely to share genetic risk factors. Hence, we examine their shared genetic background using a cross-disorder GWAS meta-analysis of 3495 AN cases, 2688 OCD cases, and 18,013 controls. We confirmed a high genetic correlation between AN and OCD (rg = 0.49 ± 0.13, p = 9.07 × 10-7) and a sizable SNP heritability (SNP h2 = 0.21 ± 0.02) for the cross-disorder phenotype. Although no individual loci reached genome-wide significance, the cross-disorder phenotype showed strong positive genetic correlations with other psychiatric phenotypes (e.g., rg = 0.36 with bipolar disorder and 0.34 with neuroticism) and negative genetic correlations with metabolic phenotypes (e.g., rg = -0.25 with body mass index and -0.20 with triglycerides). Follow-up analyses revealed that although AN and OCD overlap heavily in their shared risk with other psychiatric phenotypes, the relationship with metabolic and anthropometric traits is markedly stronger for AN than for OCD. We further tested whether shared genetic risk for AN/OCD was associated with particular tissue or cell-type gene expression patterns and found that the basal ganglia and medium spiny neurons were most enriched for AN-OCD risk, consistent with neurobiological findings for both disorders. Our results confirm and extend genetic epidemiological findings of shared risk between AN and OCD and suggest that larger GWASs are warranted.

Published
2020

44. Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions

Author

Marshall, Christian R., Merico, Daniele, Thiruvahindrapuram, Bhooma, Wang, Zhouzhi, Scherer, Stephen W., Howrigan, Daniel P, Ripke, Stephan, Bulik-Sullivan, Brendan, Farh, Kai-How, Fromer, Menachem, Goldstein, Jacqueline I., Huang, Hailiang, Lee, Phil, Daly, Mark J., Neale, Benjamin M., Belliveau, Richard A., Jr., Bergen, Sarah E., Bevilacqua, Elizabeth, Chambert, Kimberley D., O'Dushlaine, Colm, Scolnick, Edward M., Smoller, Jordan W., Moran, Jennifer L., Palotie, Aarno, Petryshen, Tracey L., Wu, Wenting, Greer, Douglas S., Antaki, Danny, Shetty, Aniket, Gujral, Madhusudan, Brandler, William M., Malhotra, Dheeraj, Fuentes Fajarado, Karin V., Maile, Michelle S., Holmans, Peter A., Carrera, Noa, Craddock, Nick, Escott-Price, Valentina, Georgieva, Lyudmila, Hamshere, Marian L., Kavanagh, David, Legge, Sophie E., Pocklington, Andrew J., Richards, Alexander L., Ruderfer, Douglas M., Williams, Nigel M., Kirov, George, Owen, Michael J., Pinto, Dalila, Cai, Guiqing, Davis, Kenneth L., Drapeau, Elodie, Friedman, Joseph I, Haroutunian, Vahram, Parkhomenko, Elena, Reichenberg, Abraham, Silverman, Jeremy M., Buxbaum, Joseph D., Domenici, Enrico, Agartz, Ingrid, Djurovic, Srdjan, Mattingsdal, Morten, Melle, Ingrid, Andreassen, Ole A., Jönsson, Erik G., Söderman, Erik, Albus, Margot, Alexander, Madeline, Laurent, Claudine, Levinson, Douglas F., Amin, Farooq, Atkins, Joshua, Cairns, Murray J., Scott, Rodney J., Tooney, Paul A., Wu, Jing Qin, Bacanu, Silviu A., Bigdeli, Tim B., Reimers, Mark A., Webb, Bradley T., Wolen, Aaron R., Wormley, Brandon K., Kendler, Kenneth S., Riley, Brien P., Kähler, Anna K., Magnusson, Patrik K.E., Hultman, Christina M., Bertalan, Marcelo, Hansen, Thomas, Olsen, Line, Rasmussen, Henrik B., Werge, Thomas, Mattheisen, Manuel, Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Roffman, Joshua L., Byerley, William, Cahn, Wiepke, Kahn, René S, Strengman, Eric, Ophoff, Roel A., Carr, Vaughan J., Catts, Stanley V., Henskens, Frans A., Loughland, Carmel M., Michie, Patricia T., Pantelis, Christos, Schall, Ulrich, Jablensky, Assen V., Kelly, Brian J., Campion, Dominique, Cantor, Rita M., Cheng, Wei, Cloninger, C. Robert, Svrakic, Dragan M, Cohen, David, Cormican, Paul, Donohoe, Gary, Morris, Derek W., Corvin, Aiden, Gill, Michael, Crespo-Facorro, Benedicto, Crowley, James J., Farrell, Martilias S., Giusti-Rodríguez, Paola, Kim, Yunjung, Szatkiewicz, Jin P., Williams, Stephanie, Curtis, David, Pimm, Jonathan, Gurling, Hugh, McQuillin, Andrew, Davidson, Michael, Weiser, Mark, Degenhardt, Franziska, Forstner, Andreas J., Herms, Stefan, Hoffmann, Per, Hofman, Andrea, Cichon, Sven, Nöthen, Markus M., Del Favero, Jurgen, DeLisi, Lynn E., McCarley, Robert W., Levy, Deborah L., Mesholam-Gately, Raquelle I., Seidman, Larry J., Dikeos, Dimitris, Papadimitriou, George N., Dinan, Timothy, Duan, Jubao, Sanders, Alan R., Gejman, Pablo V., Gershon, Elliot S., Dudbridge, Frank, Eichhammer, Peter, Eriksson, Johan, Salomaa, Veikko, Essioux, Laurent, Fanous, Ayman H., Knowles, James A., Pato, Michele T., Pato, Carlos N., Frank, Josef, Meier, Sandra, Schulze, Thomas G., Strohmaier, Jana, Witt, Stephanie H., Rietschel, Marcella, Franke, Lude, Karjalainen, Juha, Freedman, Robert, Olincy, Ann, Freimer, Nelson B., Purcell, Shaun M., Roussos, Panos, Stahl, Eli A., Sklar, Pamela, Giegling, Ina, Hartmann, Annette M., Konte, Bettina, Rujescu, Dan, Godard, Stephanie, Hirschhorn, Joel N., Pers, Tune H., Price, Alkes, Esko, Tõnu, Gratten, Jacob, Lee, S. Hong, Visscher, Peter M., Wray, Naomi R., Mowry, Bryan J., de Haan, Lieuwe, Meijer, Carin J., Hansen, Mark, Ikeda, Masashi, Iwata, Nakao, Joa, Inge, Kalaydjieva, Luba, Keller, Matthew C., Kennedy, James L., Zai, Clement C., Knight, Jo, Lerer, Bernard, Liang, Kung-Yee, Lieberman, Jeffrey, Stroup, T. Scott, Lönnqvist, Jouko, Suvisaari, Jaana, Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, McDonald, Colm, McIntosh, Andrew M., Blackwood, Douglas H.R., Metspalu, Andres, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Collier, David A., Müller-Myhsok, Bertram, Murphy, Kieran C., Murray, Robin M., Powell, John, Myin-Germeys, Inez, Van Os, Jim, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Pulver, Ann E., Nicodemus, Kristin K., Nisenbaum, Laura, Nordin, Annelie, Adolfsson, Rolf, O'Callaghan, Eadbhard, Oh, Sang-Yun, O'Neill, F. Anthony, Paunio, Tiina, Pietiläinen, Olli, Perkins, Diana O., Quested, Digby, Savitz, Adam, Li, Qingqin S., Schwab, Sibylle G., Shi, Jianxin, Spencer, Chris C.A., Thirumalai, Srinivas, Veijola, Juha, Waddington, John, Walsh, Dermot, Wildenauer, Dieter B., Bramon, Elvira, Darvasi, Ariel, Posthuma, Danielle, St. Clair, David, Shanta, Omar, Klein, Marieke, Park, Peter J., Weinberger, Daniel, Moran, John V., Gage, Fred H., Vaccarino, Flora M., Gleeson, Joseph, Mathern, Gary, Courchesne, Eric, Roy, Subhojit, Bizzotto, Sara, Coulter, Michael, Dias, Caroline, D'Gama, Alissa, Ganz, Javier, Hill, Robert, Huang, August Yue, Khoshkhoo, Sattar, Kim, Sonia, Lodato, Michael, Miller, Michael, Borges-Monroy, Rebeca, Rodin, Rachel, Zhou, Zinan, Bohrson, Craig, Chu, Chong, Cortes-Ciriano, Isidro, Dou, Yanmei, Galor, Alon, Gulhan, Doga, Kwon, Minseok, Luquette, Joe, Viswanadham, Vinay, Jones, Attila, Rosenbluh, Chaggai, Cho, Sean, Langmead, Ben, Thorpe, Jeremy, Erwin, Jennifer, Jaffe, Andrew, McConnell, Michael, Narurkar, Rujuta, Paquola, Apua, Shin, Jooheon, Straub, Richard, Abyzov, Alexej, Bae, Taejeong, Jang, Yeongjun, Wang, Yifan, Gage, Fred, Linker, Sara, Reed, Patrick, Wang, Meiyan, Urban, Alexander, Zhou, Bo, Zhu, Xiaowei, Pattni, Reenal, Amero, Aitor Serres, Juan, David, Lobon, Irene, Marques-Bonet, Tomas, Moruno, Manuel Solis, Perez, Raquel Garcia, Povolotskaya, Inna, Soriano, Eduardo, Averbuj, Dan, Ball, Laurel, Breuss, Martin, Yang, Xiaoxu, Chung, Changuk, Emery, Sarah B., Flasch, Diane A., Kidd, Jeffrey M., Kopera, Huira C., Kwan, Kenneth Y., Mills, Ryan E., Moldovan, John B., Sun, Chen, Zhao, Xuefang, Zhou, Weichen, Frisbie, Trenton J., Cherskov, Adriana, Fasching, Liana, Jourdon, Alexandre, Pochareddy, Sirisha, Scuderi, Soraya, Sestan, Nenad, Maury, Eduardo A., Sherman, Maxwell A., Genovese, Giulio, Gilgenast, Thomas G., Kamath, Tushar, Burris, S.J., Rajarajan, Prashanth, Flaherty, Erin, Akbarian, Schahram, Chess, Andrew, McCarroll, Steven A., Loh, Po-Ru, Phillips-Cremins, Jennifer E., Brennand, Kristen J., Macosko, Evan Z., Walters, James T.R., O’Donovan, Michael, Sullivan, Patrick, Sebat, Jonathan, Lee, Eunjung A., and Walsh, Christopher A.

Published
2023
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46. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Author

Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T.R., Farh, Kai-How, Holmans, Peter A., Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A., Huang, Hailiang, Pers, Tune H., Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A., Jr., Bene, Judit, Bergen, Sarah E., Bevilacqua, Elizabeth, Bigdeli, Tim B., Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M., Carr, Vaughan J., Carrera, Noa, Catts, Stanley V., Chambert, Kimberley D., Chan, Raymond C.K., Chan, Ronald Y.L., Chen, Eric Y.H., Cheng, Wei, Cheung, Eric FC., Chong, Siow Ann, Cloninger, C. Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J., Curtis, David, Davidson, Michael, Davis, Kenneth L., Degenhardt, Franziska, Del Favero, Jurgen, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H., Farrell, Martilias S., Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B., Friedl, Marion, Friedman, Joseph I., Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L., Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M., Henskens, Frans A., Herms, Stefan, Hirschhorn, Joel N., Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V., Hougaard, David M., Ikeda, Masashi, Joa, Inge, Julià, Antonio, Kahn, René S., Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C., Kennedy, James L., Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Knowles, James A., Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K., Laurent, Claudine, Lee, Jimmy, Lee, S. Hong, Legge, Sophie E., Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M., Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Magnusson, Patrik K.E., Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W., McDonald, Colm, McIntosh, Andrew M., Meier, Sandra, Meijer, Carin J., Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mokrab, Younes, Morris, Derek W., Mors, Ole, Murphy, Kieran C., Murray, Robin M., Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Nicodemus, Kristin K., Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N., Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T., Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O., Pietiläinen, Olli, Pimm, Jonathan, Pocklington, Andrew J., Powell, John, Price, Alkes, Pulver, Ann E., Purcell, Shaun M., Quested, Digby, Rasmussen, Henrik B., Reichenberg, Abraham, Reimers, Mark A., Richards, Alexander L., Roffman, Joshua L., Roussos, Panos, Ruderfer, Douglas M., Salomaa, Veikko, Sanders, Alan R., Schall, Ulrich, Schubert, Christian R., Schulze, Thomas G., Schwab, Sibylle G., Scolnick, Edward M., Scott, Rodney J., Seidman, Larry J., Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M., Sim, Kang, Slominsky, Petr, Smoller, Jordan W., So, Hon-Cheong, Spencer, Chris C.A., Stahl, Eli A., Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E., Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M., Szatkiewicz, Jin P., Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T., Weiser, Mark, Wildenauer, Dieter B., Williams, Nigel M., Williams, Stephanie, Witt, Stephanie H., Wolen, Aaron R., Wong, Emily H.M., Wormley, Brandon K., Xi, Hualin Simon, Zai, Clement C., Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R., Stefansson, Kari, Visscher, Peter M., Adolfsson, Rolf, Andreassen, Ole A., Blackwood, Douglas H.R., Bramon, Elvira, Buxbaum, Joseph D., Børglum, Anders D., Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V., Gill, Michael, Gurling, Hugh, Hultman, Christina M., Iwata, Nakao, Jablensky, Assen V., Jönsson, Erik G., Kendler, Kenneth S., Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., McCarroll, Steven A., McQuillin, Andrew, Moran, Jennifer L., Mortensen, Preben B., Mowry, Bryan J., Nöthen, Markus M., Ophoff, Roel A., Owen, Michael J., Palotie, Aarno, Pato, Carlos N., Petryshen, Tracey L., Posthuma, Danielle, Rietschel, Marcella, Riley, Brien P., Rujescu, Dan, Sham, Pak C., Sklar, Pamela, St Clair, David, Weinberger, Daniel R., Wendland, Jens R., Werge, Thomas, Daly, Mark J., Sullivan, Patrick F., O'Donovan, Michael C., Qin, Shengying, Sawa, Akira, Kahn, Rene, Hong, Kyung Sue, Shi, Wenzhao, Tsuang, Ming, Itokawa, Masanari, Feng, Gang, Glatt, Stephen J., Ma, Xiancang, Tang, Jinsong, Ruan, Yunfeng, Liu, Ruize, Zhu, Feng, Horiuchi, Yasue, Lee, Byung Dae, Joo, Eun-Jeong, Myung, Woojae, Ha, Kyooseob, Won, Hong-Hee, Baek, Ji Hyung, Chung, Young Chul, Kim, Sung-Wan, Kusumawardhani, Agung, Chen, Wei J., Hwu, Hai-Gwo, Hishimoto, Akitoyo, Otsuka, Ikuo, Sora, Ichiro, Toyota, Tomoko, Yoshikawa, Takeo, Kunugi, Hiroshi, Hattori, Kotaro, Ishiwata, Sayuri, Numata, Shusuke, Ohmori, Tetsuro, Arai, Makoto, Ozeki, Yuji, Fujii, Kumiko, Kim, Se Joo, Lee, Heon-Jeong, Ahn, Yong Min, Kim, Se Hyun, Akiyama, Kazufumi, Shimoda, Kazutaka, Kinoshita, Makoto, Hsu, Yu-Han H., Pintacuda, Greta, Nacu, Eugeniu, Kim, April, Tsafou, Kalliopi, Petrossian, Natalie, Crotty, William, Suh, Jung Min, Riseman, Jackson, Martin, Jacqueline M., Biagini, Julia C., Mena, Daya, Ching, Joshua K.T., Malolepsza, Edyta, Li, Taibo, Singh, Tarjinder, Ge, Tian, Egri, Shawn B., Tanenbaum, Benjamin, Stanclift, Caroline R., Apffel, Annie M., Carr, Steven A., Schenone, Monica, Jaffe, Jake, Fornelos, Nadine, Eggan, Kevin C., and Lage, Kasper

Published
2023
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48. Age and significance of the Fire Bay assemblage: an Ordovician arc fragment within the Clements Markham belt, northwestern Ellesmere Island, Canada

Author

Koch, Megan M., Faehnrich, Karol, Mcclelland, William C., Crowley, James L., Melchin, Michael J., Beranek, Luke P., and Strauss, And Justin V.

Subjects
Ellesmere Island -- Natural history, Rock formations -- Research, Formations (Geology) -- Research, Geological research, Earth sciences
Abstract

The Fire Bay Formation of Trettin (1998), Clements Markham belt, Ellesmere Island, Canada, includes volcanic rocks described as Silurian in age based on Llandovery graptolites in adjacent clastic rocks. New field observations suggest the Llandovery fossils are from packages of the Silurian Danish River and/or Lands Lokk formations that are fault-bounded rather than stratigraphically tied to Ordovician sections that contain a 470.0 [+ or -] 0.2 Ma lithic tuf, volcaniclastic units with maximum depositional ages (MDAs) of 466 [+ or -] 2 and 462 [+ or -] 2 Ma based on detrital zircon, volcanic clasts with ages of 498 [+ or -] 6, 478 [+ or -] 4, and 477 [+ or -] 8 Ma, and Ordovician conodonts and graptolites of Darriwilian and Sandbian age, respectively. Since the Fire Bay Formation of Trettin (1998) lacks a type section and is fault-bounded with ambiguous age relationships, Ordovician volcanic units and fault-bounded clastic rocks correlated with the Hazen Formation are both included in the Fire Bay assemblage following the original interpretations of Trettin and Nowlan (1990). The Fire Bay assemblage records juvenile Ordovician arc magmatism proximal to the Pearya terrane. The adjacent Lands Lokk Formation yields bimodal age peaks at 440-430 and 465 Ma, MDA of 424 [+ or -] 3 Ma, and [epsilon][Hf.sub.(t)] values of -5 to +10. The signature matches Ordovician Pearya units and Silurian circum-Arctic arc sources but there is no evidence for Silurian arc magmatism between the Pearya terrane and Laurentian margin, compatible with Pearya accretion during oblique Ordovician arc collision and Silurian sinistral translation along the northern Laurentian margin. Key words: U/Pb dating, Pearya terrane accretion, Ordovician arcs, biostratigraphy, detrital zircon, Ellesmere Island La Formation de Fire Bay deTrettin (1998), de la ceinture de Clements Markham de l'île d'Ellesmere (Canada), comprend des roches volcaniques décrites comme étant d'âge silurien à la lumière de graptolites llandovériens dans des roches clastiques attenantes. De nouvelles observations de terrain portent à croire que les fossiles llandovériens proviennent de paquets des formations siluriennes de Danish River ou de Lands Lokk qui sont bordés par des failles plutôt que d'être reliés stratigraphiquement à des séquences ordoviciennes qui contiennent un tuf lithique de 470,0 [+ ou -] 0,2 Ma, des unités volcanoclastiques d'âge de dépôt maximum (ADM) de 466 [+ ou -] 2 Ma et 462 [+ ou -] 2 Ma à la lumière de zircons détritiques, des clastes volcaniques ayant produit des âges de 498 [+ ou -] 6 Ma, 478 [+ ou -] 4 Ma et 477 [+ ou -] 8 Ma et des conodontes et graptolites ordoviciens d'âge darriwillien et sandbien, respectivement. Comme la Formation de Fire Bay de Trettin (1998) n'a pas de coupe type et est bordée par des failles dont les relations d'âge sont ambiguës, des unités volcaniques ordoviciennes et des roches clastiques bordées par des failles corrélées à la Formation de Hazen sont incluses dans l'assemblage de Fire Bay, suivant les interprétations initiales de Trettin et Nowlan (1990). L'assemblage de Fire Bay témoigne d'un magmatisme d'arc ordovicien proximal par rapport au terrane de Pearya. La Formation de Lands Lokk attenante donne des pics d'âges bimodaux à 440-430 Ma et 465 Ma, un ADM de 424 [+ ou -] 3 Ma et des valeurs de [epsilon][Hf.sub.(t)] de -5 à +10. Cette signature concorde avec des unités ordoviciennes de Pearya et des sources d'arc circumarctique siluriennes, mais il n'y a aucun indice de magmatisme d'arc silurien entre le terrane de Pearya et la marge laurentienne, ce qui est compatible avec l'accrétion de Pearya durant la collision oblique d'un arc ordovicien et une translation senestre silurienne le long de la marge septentrionale de la Laurentie. [Traduit par la Rédaction] Mots-clés : datation U/Pb, accrétion du terrane de Pearya, arcs ordoviciens, biostratigarphie, zircon détritique, île d'Ellesmere, Introduction The Pearya terrane on the northern margin of Laurentia plays a critical role in tectonic models for the Paleozoic evolution of the circum-Arctic region that advocates for large-scale transfer [...]

Published
2022
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49. Color-Based Fusion of MRI Modalities for Brain Tumor Segmentation

Author

Aboubakr, Nachwa, Popova, Mihaela, Crowley, James L., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Su, Ruidan, editor, Zhang, Yu-Dong, editor, and Liu, Han, editor

Published
2022
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