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1. To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling

Author

Rutherford, Saige, Wolfers, Thomas, Fraza, Charlotte, Harrnet, Nathaniel G., Beckmann, Christian F., Ruhe, Henricus G., and Marquand, Andre F.

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

Reference classes in healthcare establish healthy norms, such as pediatric growth charts of height and weight, and are used to chart deviations from these norms which represent potential clinical risk. How the demographics of the reference class influence clinical interpretation of deviations is unknown. Using normative modeling, a method for building reference classes, we evaluate the fairness (racial bias) in reference models of structural brain images that are widely used in psychiatry and neurology. We test whether including race in the model creates fairer models. We predict self-reported race using the deviation scores from three different reference class normative models, to better understand bias in an integrated, multivariate sense. Across all of these tasks, we uncover racial disparities that are not easily addressed with existing data or commonly used modeling techniques. Our work suggests that deviations from the norm could be due to demographic mismatch with the reference class, and assigning clinical meaning to these deviations should be done with caution. Our approach also suggests that acquiring more representative samples is an urgent research priority.

Published
2024

2. Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping

Author

Yang, Hao-Chun, Andreassen, Ole, Westlye, Lars Tjelta, Marquand, Andre F., Beckmann, Christian F., and Wolfers, Thomas

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

The detection of heterogeneous mental disorders based on brain readouts remains challenging due to the complexity of symptoms and the absence of reliable biomarkers. This paper introduces CAM (Cortical Anomaly Detection through Masked Image Modeling), a novel self-supervised framework designed for the unsupervised detection of complex brain disorders using cortical surface features. We employ this framework for the detection of individuals on the psychotic spectrum and demonstrate its capabilities compared to state-of-the-art methods, achieving an AUC of 0.696 for Schizoaffective and 0.769 for Schizophreniform, without the need for any labels. Furthermore, the analysis of atypical cortical regions, including Pars Triangularis and several frontal areas often implicated in schizophrenia, provides further confidence in our approach. Altogether, we demonstrate a scalable approach for anomaly detection of complex brain disorders based on cortical abnormalities. The code will be made available at https://github.com/chadHGY/CAM., Comment: 5 pages, LaTeX; typos corrected, introduction refined

Published
2023

3. Running in the FAMILY: understanding and predicting the intergenerational transmission of mental illness

Author

van Houtum, Lisanne A. E. M., Baaré, William F. C., Beckmann, Christian F., Castro-Fornieles, Josefina, Cecil, Charlotte A. M., Dittrich, Juliane, Ebdrup, Bjørn H., Fegert, Jörg M., Havdahl, Alexandra, Hillegers, Manon H. J., Kalisch, Raffael, Kushner, Steven A., Mansuy, Isabelle M., Mežinska, Signe, Moreno, Carmen, Muetzel, Ryan L., Neumann, Alexander, Nordentoft, Merete, Pingault, Jean-Baptiste, Preisig, Martin, Raballo, Andrea, Saunders, John, Sprooten, Emma, Sugranyes, Gisela, Tiemeier, Henning, van Woerden, Geeske M., Vandeleur, Caroline L., and van Haren, Neeltje E. M.

Published
2024
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9. Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders

Author

Segal, Ashlea, Parkes, Linden, Aquino, Kevin, Kia, Seyed Mostafa, Wolfers, Thomas, Franke, Barbara, Hoogman, Martine, Beckmann, Christian F., Westlye, Lars T., Andreassen, Ole A., Zalesky, Andrew, Harrison, Ben J., Davey, Christopher G., Soriano-Mas, Carles, Cardoner, Narcís, Tiego, Jeggan, Yücel, Murat, Braganza, Leah, Suo, Chao, Berk, Michael, Cotton, Sue, Bellgrove, Mark A., Marquand, Andre F., and Fornito, Alex

Published
2023
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10. A stable and replicable neural signature of lifespan adversity in the adult brain

Author

Holz, Nathalie E., Zabihi, Mariam, Kia, Seyed Mostafa, Monninger, Maximillian, Aggensteiner, Pascal-M., Siehl, Sebastian, Floris, Dorothea L., Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Orfanos, Dimitri Papadopoulos, Paus, Tomáš, Poustka, Luise, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Meyer-Lindenberg, Andreas, Brandeis, Daniel, Buitelaar, Jan K., Nees, Frauke, Beckmann, Christian, Banaschewski, Tobias, and Marquand, Andre F.

Published
2023
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11. Effects of a single dose of amisulpride on functional brain changes during reward- and motivation-related processing using task-based fMRI in healthy subjects and patients with major depressive disorder — study protocol for a randomized clinical trial

Author

Carstens, Luisa, Popp, Margot, Keicher, Christian, Hertrampf, Rita, Weigner, David, Meiering, Marvin S., Luippold, Gerd, Süssmuth, Sigurd D., Beckmann, Christian F., Wunder, Andreas, and Grimm, Simone

Published
2023
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12. The neuroanatomical substrates of autism and ADHD and their link to putative genomic underpinnings

Author

Berg, Lisa M., Gurr, Caroline, Leyhausen, Johanna, Seelemeyer, Hanna, Bletsch, Anke, Schaefer, Tim, Pretzsch, Charlotte M., Oakley, Bethany, Loth, Eva, Floris, Dorothea L., Buitelaar, Jan K., Beckmann, Christian F., Banaschewski, Tobias, Charman, Tony, Jones, Emily J. H., Tillmann, Julian, Chatham, Chris H., Bourgeron, Thomas, Murphy, Declan G., and Ecker, Christine

Published
2023
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13. Linking functional and structural brain organisation with behaviour in autism: a multimodal EU-AIMS Longitudinal European Autism Project (LEAP) study

Author

Oblong, Lennart M., Llera, Alberto, Mei, Ting, Haak, Koen, Isakoglou, Christina, Floris, Dorothea L., Durston, Sarah, Moessnang, Carolin, Banaschewski, Tobias, Baron-Cohen, Simon, Loth, Eva, Dell’Acqua, Flavio, Charman, Tony, Murphy, Declan G. M., Ecker, Christine, Buitelaar, Jan K., Beckmann, Christian F., and Forde, Natalie J.

Published
2023
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14. Fine-grained topographic organization within somatosensory cortex during resting-state and emotional face-matching task and its association with ASD traits

Author

Isakoglou, Christina, Haak, Koen V., Wolfers, Thomas, Floris, Dorothea L., Llera, Alberto, Oldehinkel, Marianne, Forde, Natalie J., Oakley, Bethany F. M., Tillmann, Julian, Holt, Rosemary J., Moessnang, Carolin, Loth, Eva, Bourgeron, Thomas, Baron-Cohen, Simon, Charman, Tony, Banaschewski, Tobias, Murphy, Declan G. M., Buitelaar, Jan K., Marquand, Andre F., and Beckmann, Christian F.

Published
2023
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15. Excitatory/inhibitory imbalance in autism: the role of glutamate and GABA gene-sets in symptoms and cortical brain structure

Author

Hollestein, Viola, Poelmans, Geert, Forde, Natalie J., Beckmann, Christian F., Ecker, Christine, Mann, Caroline, Schäfer, Tim, Moessnang, Carolin, Baumeister, Sarah, Banaschewski, Tobias, Bourgeron, Thomas, Loth, Eva, Dell’Acqua, Flavio, Murphy, Declan G. M., Puts, Nicolaas A., Tillmann, Julian, Charman, Tony, Jones, Emily J. H., Mason, Luke, Ambrosino, Sara, Holt, Rosemary, Bölte, Sven, Buitelaar, Jan K., and Naaijen, Jilly

Published
2023
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16. Charting brain growth and aging at high spatial precision

Author

Rutherford, Saige, Fraza, Charlotte, Dinga, Richard, Kia, Seyed Mostafa, Wolfers, Thomas, Zabihi, Mariam, Berthet, Pierre, Worker, Amanda, Verdi, Serena, Andrews, Derek, Han, Laura KM, Bayer, Johanna MM, Dazzan, Paola, McGuire, Phillip, Mocking, Roel T, Schene, Aart, Sripada, Chandra, Tso, Ivy F, Duval, Elizabeth R, Chang, Soo-Eun, Penninx, Brenda WJH, Heitzeg, Mary M, Burt, S Alexandra, Hyde, Luke W, Amaral, David, Nordahl, Christine Wu, Andreasssen, Ole A, Westlye, Lars T, Zahn, Roland, Ruhe, Henricus G, Beckmann, Christian, and Marquand, Andre F

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Health Sciences, Neurosciences, Biomedical Imaging, Neurological, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, Aging, Big Data, Brain, Child, Child, Preschool, Cohort Studies, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Statistical, Neuroimaging, Young Adult, normative model, lifespan, growth chart, brain chart, big data, individual prediction, Human, human, neuroscience, Biochemistry and Cell Biology, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2-100) and used normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision-making.

Published
2022

17. Cross-sectional and longitudinal neuroanatomical profiles of distinct clinical (adaptive) outcomes in autism

Author

Pretzsch, Charlotte M., Floris, Dorothea L., Schäfer, Tim, Bletsch, Anke, Gurr, Caroline, Lombardo, Michael V., Chatham, Chris H., Tillmann, Julian, Charman, Tony, Arenella, Martina, Jones, Emily, Ambrosino, Sara, Bourgeron, Thomas, Dumas, Guillaume, Cliquet, Freddy, Leblond, Claire S., Loth, Eva, Oakley, Bethany, Buitelaar, Jan K., Baron-Cohen, Simon, Beckmann, Christian F., Persico, Antonio M., Banaschewski, Tobias, Durston, Sarah, Freitag, Christine M., Murphy, Declan G. M., and Ecker, Christine

Published
2023
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18. A consensus protocol for functional connectivity analysis in the rat brain

Author

Grandjean, Joanes, Desrosiers-Gregoire, Gabriel, Anckaerts, Cynthia, Angeles-Valdez, Diego, Ayad, Fadi, Barrière, David A., Blockx, Ines, Bortel, Aleksandra, Broadwater, Margaret, Cardoso, Beatriz M., Célestine, Marina, Chavez-Negrete, Jorge E., Choi, Sangcheon, Christiaen, Emma, Clavijo, Perrin, Colon-Perez, Luis, Cramer, Samuel, Daniele, Tolomeo, Dempsey, Elaine, Diao, Yujian, Doelemeyer, Arno, Dopfel, David, Dvořáková, Lenka, Falfán-Melgoza, Claudia, Fernandes, Francisca F., Fowler, Caitlin F., Fuentes-Ibañez, Antonio, Garin, Clément M., Gelderman, Eveline, Golden, Carla E. M., Guo, Chao C. G., Henckens, Marloes J. A. G., Hennessy, Lauren A., Herman, Peter, Hofwijks, Nita, Horien, Corey, Ionescu, Tudor M., Jones, Jolyon, Kaesser, Johannes, Kim, Eugene, Lambers, Henriette, Lazari, Alberto, Lee, Sung-Ho, Lillywhite, Amanda, Liu, Yikang, Liu, Yanyan Y., López -Castro, Alejandra, López-Gil, Xavier, Ma, Zilu, MacNicol, Eilidh, Madularu, Dan, Mandino, Francesca, Marciano, Sabina, McAuslan, Matthew J., McCunn, Patrick, McIntosh, Alison, Meng, Xianzong, Meyer-Baese, Lisa, Missault, Stephan, Moro, Federico, Naessens, Daphne M. P., Nava-Gomez, Laura J., Nonaka, Hiroi, Ortiz, Juan J., Paasonen, Jaakko, Peeters, Lore M., Pereira, Mickaël, Perez, Pablo D., Pompilus, Marjory, Prior, Malcolm, Rakhmatullin, Rustam, Reimann, Henning M., Reinwald, Jonathan, Del Rio, Rodrigo Triana, Rivera-Olvera, Alejandro, Ruiz-Pérez, Daniel, Russo, Gabriele, Rutten, Tobias J., Ryoke, Rie, Sack, Markus, Salvan, Piergiorgio, Sanganahalli, Basavaraju G., Schroeter, Aileen, Seewoo, Bhedita J., Selingue, Erwan, Seuwen, Aline, Shi, Bowen, Sirmpilatze, Nikoloz, Smith, Joanna A. B., Smith, Corrie, Sobczak, Filip, Stenroos, Petteri J., Straathof, Milou, Strobelt, Sandra, Sumiyoshi, Akira, Takahashi, Kengo, Torres-García, Maria E., Tudela, Raul, van den Berg, Monica, van der Marel, Kajo, van Hout, Aran T. B., Vertullo, Roberta, Vidal, Benjamin, Vrooman, Roël M., Wang, Victora X., Wank, Isabel, Watson, David J. G., Yin, Ting, Zhang, Yongzhi, Zurbruegg, Stefan, Achard, Sophie, Alcauter, Sarael, Auer, Dorothee P., Barbier, Emmanuel L., Baudewig, Jürgen, Beckmann, Christian F., Beckmann, Nicolau, Becq, Guillaume J. P. C., Blezer, Erwin L. A., Bolbos, Radu, Boretius, Susann, Bouvard, Sandrine, Budinger, Eike, Buxbaum, Joseph D., Cash, Diana, Chapman, Victoria, Chuang, Kai-Hsiang, Ciobanu, Luisa, Coolen, Bram F., Dalley, Jeffrey W., Dhenain, Marc, Dijkhuizen, Rick M., Esteban, Oscar, Faber, Cornelius, Febo, Marcelo, Feindel, Kirk W., Forloni, Gianluigi, Fouquet, Jérémie, Garza-Villarreal, Eduardo A., Gass, Natalia, Glennon, Jeffrey C., Gozzi, Alessandro, Gröhn, Olli, Harkin, Andrew, Heerschap, Arend, Helluy, Xavier, Herfert, Kristina, Heuser, Arnd, Homberg, Judith R., Houwing, Danielle J., Hyder, Fahmeed, Ielacqua, Giovanna Diletta, Jelescu, Ileana O., Johansen-Berg, Heidi, Kaneko, Gen, Kawashima, Ryuta, Keilholz, Shella D., Keliris, Georgios A., Kelly, Clare, Kerskens, Christian, Khokhar, Jibran Y., Kind, Peter C., Langlois, Jean-Baptiste, Lerch, Jason P., López-Hidalgo, Monica A., Manahan-Vaughan, Denise, Marchand, Fabien, Mars, Rogier B., Marsella, Gerardo, Micotti, Edoardo, Muñoz-Moreno, Emma, Near, Jamie, Niendorf, Thoralf, Otte, Willem M., Pais-Roldán, Patricia, Pan, Wen-Ju, Prado-Alcalá, Roberto A., Quirarte, Gina L., Rodger, Jennifer, Rosenow, Tim, Sampaio-Baptista, Cassandra, Sartorius, Alexander, Sawiak, Stephen J., Scheenen, Tom W. J., Shemesh, Noam, Shih, Yen-Yu Ian, Shmuel, Amir, Soria, Guadalupe, Stoop, Ron, Thompson, Garth J., Till, Sally M., Todd, Nick, Van Der Linden, Annemie, van der Toorn, Annette, van Tilborg, Geralda A. F., Vanhove, Christian, Veltien, Andor, Verhoye, Marleen, Wachsmuth, Lydia, Weber-Fahr, Wolfgang, Wenk, Patricia, Yu, Xin, Zerbi, Valerio, Zhang, Nanyin, Zhang, Baogui B., Zimmer, Luc, Devenyi, Gabriel A., Chakravarty, M. Mallar, and Hess, Andreas

Published
2023
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20. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder

Author

Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Buitelaar, Jan K., Chakrabarti, Bhismadev, Charman, Tony, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Johnson, Mark H., Jones, Emily J.H., Kundu, Prantik, Lai, Meng-Chuan, D’ardhuy, Xavier Liogier, Lombardo, Michael V., Loth, Eva, Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Bast, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, San José Cáceres, Antonia, Simonoff, Emily, Spooren, Will, Tillmann, Julian, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, Zwiers, Marcel P., Leyhausen, Johanna, Schäfer, Tim, Gurr, Caroline, Berg, Lisa M., Seelemeyer, Hanna, Pretzsch, Charlotte M., Floris, Dorothea L., Chatham, Chris, and Murphy, Declan G.

Published
2024
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22. Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Author

Kia, Seyed Mostafa, Huijsdens, Hester, Dinga, Richard, Wolfers, Thomas, Mennes, Maarten, Andreassen, Ole A., Westlye, Lars T., Beckmann, Christian F., and Marquand, Andre F.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Applications
Abstract

Clinical neuroimaging has recently witnessed explosive growth in data availability which brings studying heterogeneity in clinical cohorts to the spotlight. Normative modeling is an emerging statistical tool for achieving this objective. However, its application remains technically challenging due to difficulties in properly dealing with nuisance variation, for example due to variability in image acquisition devices. Here, in a fully probabilistic framework, we propose an application of hierarchical Bayesian regression (HBR) for multi-site normative modeling. Our experimental results confirm the superiority of HBR in deriving more accurate normative ranges on large multi-site neuroimaging data compared to widely used methods. This provides the possibility i) to learn the normative range of structural and functional brain measures on large multi-site data; ii) to recalibrate and reuse the learned model on local small data; therefore, HBR closes the technical loop for applying normative modeling as a medical tool for the diagnosis and prognosis of mental disorders., Comment: To be published in MICCAI 2020 proceedings

Published
2020

23. Autism Is Associated With Interindividual Variations of Gray and White Matter Morphology

Author

Buitelaar, Jan K., Ahmad, Jumana, Ambrosino, Sara, Auyeung, Bonnie, Banaschewski, Tobias, Baron-Cohen, Simon, Baumeister, Sarah, Beckmann, Christian F., Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brammer, Michael, Brandeis, Daniel, Brogna, Claudia, de Bruijn, Yvette, Chakrabarti, Bhismadev, Charman, Tony, Cornelissen, Ineke, Crawley, Daisy, Dell’Acqua, Flavio, Dumas, Guillaume, Durston, Sarah, Ecker, Christine, Faulkner, Jessica, Frouin, Vincent, Garcés, Pilar, Goyard, David, Ham, Lindsay, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Johnson, Mark H., Jones, Emily J.H., Kundu, Prantik, Lai, Meng-Chuan, Liogier d’Ardhuy, Xavier, Lombardo, Michael V., Loth, Eva, Lythgoe, David J., Mandl, René, Marquand, Andre, Mason, Luke, Mennes, Maarten, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Mueller, Nico, Murphy, Declan G.M., Oakley, Bethany, O’Dwyer, Laurence, Oldehinkel, Marianne, Oranje, Bob, Pandina, Gahan, Persico, Antonio M., Rausch, Annika, Ruggeri, Barbara, Ruigrok, Amber, Sabet, Jessica, Sacco, Roberto, San José Cáceres, Antonia, Simonoff, Emily, Spooren, Will, Tillmann, Julian, Toro, Roberto, Tost, Heike, Waldman, Jack, Williams, Steve C.R., Wooldridge, Caroline, Ilioska, Iva, Mei, Ting, Zwiers, Marcel P., Forde, Natalie J., Floris, Dorothea L., Stones, Richard, Holt, Rosemary J., and Llera, Alberto

Published
2023
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24. Connectome-wide Mega-analysis Reveals Robust Patterns of Atypical Functional Connectivity in Autism

Author

Ilioska, Iva, Oldehinkel, Marianne, Llera, Alberto, Chopra, Sidhant, Looden, Tristan, Chauvin, Roselyne, Van Rooij, Daan, Floris, Dorothea L., Tillmann, Julian, Moessnang, Carolin, Banaschewski, Tobias, Holt, Rosemary J., Loth, Eva, Charman, Tony, Murphy, Declan G.M., Ecker, Christine, Mennes, Maarten, Beckmann, Christian F., Fornito, Alex, and Buitelaar, Jan K.

Published
2023
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31. Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data

Author

Kia, Seyed Mostafa, Beckmann, Christian F., and Marquand, Andre F.

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Applications
Abstract

Most brain disorders are very heterogeneous in terms of their underlying biology and developing analysis methods to model such heterogeneity is a major challenge. A promising approach is to use probabilistic regression methods to estimate normative models of brain function using (f)MRI data then use these to map variation across individuals in clinical populations (e.g., via anomaly detection). To fully capture individual differences, it is crucial to statistically model the patterns of correlation across different brain regions and individuals. However, this is very challenging for neuroimaging data because of high-dimensionality and highly structured patterns of correlation across multiple axes. Here, we propose a general and flexible multi-task learning framework to address this problem. Our model uses a tensor-variate Gaussian process in a Bayesian mixed-effects model and makes use of Kronecker algebra and a low-rank approximation to scale efficiently to multi-way neuroimaging data at the whole brain level. On a publicly available clinical fMRI dataset, we show that our computationally affordable approach substantially improves detection sensitivity over both a mass-univariate normative model and a classifier that --unlike our approach-- has full access to the clinical labels.

Published
2018

32. The effects of transient receptor potential cation channel inhibition by BI 1358894 on cortico-limbic brain reactivity to negative emotional stimuli in major depressive disorder

Author

Grimm, Simone, Keicher, Christian, Paret, Christian, Niedtfeld, Inga, Beckmann, Christian, Mennes, Maarten, Just, Stefan, Sharma, Vikas, Fuertig, René, Herich, Lena, Mack, Salome, Thamer, Claus, Schultheis, Christian, Weigand, Anne, Schmahl, Christian, and Wunder, Andreas

Published
2022
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33. Cerebellar Atypicalities in Autism?

Author

Tobias Banaschewski, Persico, Antonio, San Jose Caceres, Antonia, Hayward, Hannah, Crawley, Daisy, Faulkner, Jessica, Sabet, Jessica, Ellis, Claire, Oakley, Bethany, Holt, Rosemary, Ambrosino, Sara, Bast, Nico, Baumeister, Sarah, Rausch, Annika, Bours, Carsten, Cornelissen, Ineke, von Rhein, Daniel, O’Dwyer, Larry, Ahmad, Jumana, Simonoff, Emily, Laidi, Charles, Floris, Dorothea L., Tillmann, Julian, Elandaloussi, Yannis, Zabihi, Mariam, Charman, Tony, Wolfers, Thomas, Durston, Sarah, Moessnang, Carolin, Dell’Acqua, Flavio, Ecker, Christine, Loth, Eva, Murphy, Declan, Baron-Cohen, Simon, Buitelaar, Jan K., Marquand, Andre F., Beckmann, Christian F., Frouin, Vincent, Leboyer, Marion, Duchesnay, Edouard, Coupé, Pierrick, and Houenou, Josselin

Published
2022
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34. Qualitative differences in the spatiotemporal brain states supporting configural face processing emerge in adolescence in autism

Author

Ahmad, Jumana, Ambrosino, Sara, Banaschewski, Tobias, Baron-Cohen, Simon, Bast, Nico, Baumeister, Sarah, Beckmann, Christian, Bölte, Sven, Bourgeron, Thomas, Bours, Carsten, Brandeis, Daniel, Cornelissen, Ineke, Crawley, Daisy, Davidson, Cate, Dell’ Acqua, Flavio, Durston, Sarah, Ecker, Christine, Ellis, Claire, Faulkner, Jessica, Hayward, Hannah, Hipp, Joerg, Holt, Rosemary, Lai, Meng-Chuan, Leblond, Claire, Meyer-Lindenberg, Andreas, Moessnang, Carolin, Oakley, Bethany, O'Dwyer, Larry, Persico, Antonio, Rausch, Annika, Sabet, Jessica, San Jose Caceres, Antonia, Simonoff, Emily, Tost, Heike, Rhein, Daniel von, Haartsen, Rianne, Mason, Luke, Garces, Pilar, Gui, Anna, Charman, Tony, Tillmann, Julian, Johnson, Mark H., Buitelaar, Jan K., Loth, Eva, Murphy, Declan, and Jones, Emily J.H.

Published
2022
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37. Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis

Author

Garcés, Pilar, Baumeister, Sarah, Mason, Luke, Chatham, Christopher H., Holiga, Stefan, Dukart, Juergen, Jones, Emily J. H., Banaschewski, Tobias, Baron-Cohen, Simon, Bölte, Sven, Buitelaar, Jan K., Durston, Sarah, Oranje, Bob, Persico, Antonio M., Beckmann, Christian F., Bougeron, Thomas, Dell’Acqua, Flavio, Ecker, Christine, Moessnang, Carolin, Charman, Tony, Tillmann, Julian, Murphy, Declan G. M., Johnson, Mark, Loth, Eva, Brandeis, Daniel, and Hipp, Joerg F.

Published
2022
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40. Facial expression recognition is linked to clinical and neurofunctional differences in autism

Author

Meyer-Lindenberg, Hannah, Moessnang, Carolin, Oakley, Bethany, Ahmad, Jumana, Mason, Luke, Jones, Emily J. H., Hayward, Hannah L., Cooke, Jennifer, Crawley, Daisy, Holt, Rosemary, Tillmann, Julian, Charman, Tony, Baron-Cohen, Simon, Banaschewski, Tobias, Beckmann, Christian, Tost, Heike, Meyer-Lindenberg, Andreas, Buitelaar, Jan K., Murphy, Declan G., Brammer, Michael J., and Loth, Eva

Published
2022
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43. Longitudinal changes of ADHD symptoms in association with white matter microstructure: A tract-specific fixel-based analysis

Author

Damatac, Christienne G., Soheili-Nezhad, Sourena, Blazquez Freches, Guilherme, Zwiers, Marcel P., de Bruijn, Sanne, Ikde, Seyma, Portengen, Christel M., Abelmann, Amy C., Dammers, Janneke T., van Rooij, Daan, Akkermans, Sophie E.A., Naaijen, Jilly, Franke, Barbara, Buitelaar, Jan K., Beckmann, Christian F., and Sprooten, Emma

Published
2022
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44. Nonlinear latent representations of high-dimensional task-fMRI data: Unveiling cognitive and behavioral insights in heterogeneous spatial maps.

Author

Zabihi, Mariam, Kia, Seyed Mostafa, Wolfers, Thomas, de Boer, Stijn, Fraza, Charlotte, Dinga, Richard, Arenas, Alberto Llera, Bzdok, Danilo, Beckmann, Christian F., and Marquand, Andre

Subjects
PRINCIPAL components analysis, LATENT variables, BRAIN mapping, DEMOGRAPHIC characteristics, MENTAL illness, INDEPENDENT component analysis
Abstract

Finding an interpretable and compact representation of complex neuroimaging data is extremely useful for understanding brain behavioral mapping and hence for explaining the biological underpinnings of mental disorders. However, hand-crafted representations, as well as linear transformations, may inadequately capture the considerable variability across individuals. Here, we implemented a data-driven approach using a three-dimensional autoencoder on two large-scale datasets. This approach provides a latent representation of high-dimensional task-fMRI data which can account for demographic characteristics whilst also being readily interpretable both in the latent space learned by the autoencoder and in the original voxel space. This was achieved by addressing a joint optimization problem that simultaneously reconstructs the data and predicts clinical or demographic variables. We then applied normative modeling to the latent variables to define summary statistics ('latent indices') and establish a multivariate mapping to non-imaging measures. Our model, trained with multi-task fMRI data from the Human Connectome Project (HCP) and UK biobank task-fMRI data, demonstrated high performance in age and sex predictions and successfully captured complex behavioral characteristics while preserving individual variability through a latent representation. Our model also performed competitively with respect to various baseline models including several variants of principal components analysis, independent components analysis and classical regions of interest, both in terms of reconstruction accuracy and strength of association with behavioral variables. [ABSTRACT FROM AUTHOR]

Published
2024
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46. A multimodal neural signature of face processing in autism within the fusiform gyrus

Author

Floris, Dorothea, primary, Llera, Alberto, additional, Zabihi, Mariam, additional, Jones, Emily, additional, Mason, Luke, additional, Haartsen, Rianne, additional, Holz, Nathalie, additional, Mei, Ting, additional, Elleaume, Camille, additional, Vieira, Bruno Hebling, additional, Pretzsch, Charlotte, additional, Forde, Natalie, additional, Baumeister, Sarah, additional, Dell’Acqua, Flavio, additional, Durston, Sarah, additional, Banaschewski, Tobias, additional, Ecker, Christine, additional, Holt, Rosemary, additional, Baron-Cohen, Simon, additional, Bougeron, Thomas, additional, Charman, Tony, additional, Loth, Eva, additional, Murphy, Declan, additional, Buitelaar, Jan, additional, Beckmann, Christian, additional, group, EU-AIMS LEAP, additional, and Langer, Nicolas, additional

Published
2024
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48. Non-Gaussian Normative Modelling With Hierarchical Bayesian Regression

Author

de Boer, Augustijn A.A., primary, Bayer, Johanna M. M., additional, Kia, Seyed Mostafa, additional, Rutherford, Saige, additional, Zabihi, Mariam, additional, Fraza, Charlotte, additional, Barkema, Pieter, additional, Westlye, Lars T., additional, Andreassen, Ole A., additional, Hinne, Max, additional, Beckmann, Christian F., additional, and Marquand, Andre, additional

Published
2024
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49. Differences in Intrinsic Gray Matter Connectivity and Their Genomic Underpinnings in Autism Spectrum Disorder

Author

Leyhausen, Johanna, primary, Schäfer, Tim, additional, Gurr, Caroline, additional, Berg, Lisa M., additional, Seelemeyer, Hanna, additional, Pretzsch, Charlotte M., additional, Loth, Eva, additional, Oakley, Bethany, additional, Buitelaar, Jan K., additional, Beckmann, Christian F., additional, Floris, Dorothea L., additional, Charman, Tony, additional, Bourgeron, Thomas, additional, Banaschewski, Tobias, additional, Jones, Emily J.H., additional, Tillmann, Julian, additional, Chatham, Chris, additional, Murphy, Declan G., additional, Ecker, Christine, additional, Ahmad, Jumana, additional, Ambrosino, Sara, additional, Auyeung, Bonnie, additional, Baron-Cohen, Simon, additional, Baumeister, Sarah, additional, Bölte, Sven, additional, Bours, Carsten, additional, Brammer, Michael, additional, Brandeis, Daniel, additional, Brogna, Claudia, additional, de Bruijn, Yvette, additional, Chakrabarti, Bhismadev, additional, Cornelissen, Ineke, additional, Crawley, Daisy, additional, Dell’Acqua, Flavio, additional, Dumas, Guillaume, additional, Durston, Sarah, additional, Faulkner, Jessica, additional, Frouin, Vincent, additional, Garcés, Pilar, additional, Goyard, David, additional, Ham, Lindsay, additional, Hayward, Hannah, additional, Hipp, Joerg, additional, Holt, Rosemary, additional, Johnson, Mark H., additional, Kundu, Prantik, additional, Lai, Meng-Chuan, additional, D’ardhuy, Xavier Liogier, additional, Lombardo, Michael V., additional, Lythgoe, David J., additional, Mandl, René, additional, Marquand, Andre, additional, Mason, Luke, additional, Mennes, Maarten, additional, Meyer-Lindenberg, Andreas, additional, Moessnang, Carolin, additional, Bast, Nico, additional, Murphy, Declan G.M., additional, O’Dwyer, Laurence, additional, Oldehinkel, Marianne, additional, Oranje, Bob, additional, Pandina, Gahan, additional, Persico, Antonio M., additional, Ruggeri, Barbara, additional, Ruigrok, Amber, additional, Sabet, Jessica, additional, Sacco, Roberto, additional, San José Cáceres, Antonia, additional, Simonoff, Emily, additional, Spooren, Will, additional, Toro, Roberto, additional, Tost, Heike, additional, Waldman, Jack, additional, Williams, Steve C.R., additional, Wooldridge, Caroline, additional, and Zwiers, Marcel P., additional

Published
2024
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