Publications

Zhao, J., Song, Z., Zhao, Y., Thiebaut De Schotten, M., Altarelli, I. & Ramus, F. (2022). White matter connectivity in uncinate fasciculus accounts for visual attention span in developmental dyslexia. Neuropsychologia, 177, 108414. doi:10.1016/j.neuropsychologia.2022.108414

Recht, S. , Mamassian, P. & de Gardelle, V. (2022). Metacognition tracks sensitivity following involuntary shifts of visual attention. Psychon Bull Rev. doi:10.3758/s13423-022-02212-y

Doust, C., Fontanillas, P., Eising, E. , D Gordon, S., Wang, Z., Alagöz, G., Molz, B., Research Team, 2., Ramus, F., St Pourcain, B., Francks, C., E Marioni, R., Zhao, J., Paracchini, S., B Talcott, J., P Monaco, A., F Stein, J., R Gruen, J., K Olson, R., G Willcutt, E., C Defries, J., F Pennington, B., D Smith, S., J Wright, M., G Martin, N., Auton, A., C Bates, T., E Fisher, S. & Luciano, M. (2022). Discovery of 42 genome-wide significant loci associated with dyslexia. Nature genetics, 54(11), 1621-1629. doi:10.1038/s41588-022-01192-y

Antonelli, M., Lunghi, C. & Gori, M. (2022). Moderate physical activity alters the estimation of time, but not space. Sec. Perception Science . doi:10.3389/fpsyg.2022.1004504

Recht, S. , Jovanovic, L. , Mamassian, P. & Balsdon, T. (2022). Confidence at the limits of human nested cognition. Neuroscience of consciousness, 2022(1), niac014. doi:10.1093/nc/niac014

Leptourgos, P., Bouttier, V., Denève, S. & Jardri, R. (2022). From hallucinations to synaesthesia: A circular inference account of unimodal and multimodal erroneous percepts in clinical and drug-induced psychosis. Neuroscience & Biobehavioral Reviews, 135, 104593. doi:10.1016/j.neubiorev.2022.104593

Bouttier, V., Duttagupta, S. , Denève, S. & Jardri, R. (2022). Circular inference predicts nonuniform overactivation and dysconnectivity in brain-wide connectomes. Schizophrenia Research, 245, 59-67. doi:10.1016/j.schres.2020.12.045

Eising, E. , Mirza-Schreiber, N. , de Zeeuw, E. , ..., .., Ramus, F. & (Et Al), . (2022). Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. PNAS, 19(35), e2202764119. doi:10.1073/pnas.2202764119

Rahnev, D., Balsdon, T., Charles, L., de Gardelle, V., Denison, R., Desender, K., Faivre, N., Filevich, E., Fleming, S., Jehee, J., Lau, H., Lee, A., Locke, S., Mamassian, P., Odegaard, B., Peters, M., Reyes, G., Rouault, M., Sackur, J., Samaha, J., Sergent, C., Sherman, M., Siedlecka, M., Soto, D., Vlassova, A. & Zylberberg, A. (2022). Consensus goals for the field of visual metacognition. Perspectives on Psychological Science, . doi:10.1177/17456916221075615

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2022). Comparing brain asymmetries independently of brain size. NeuroImage, 254, 119118. doi:10.1016/j.neuroimage.2022.119118

Neri, P. (2022). Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations Author links open overlay panel. Neural Networks, 152, 244-266. doi:10.1016/j.neunet.2022.04.023

Mamassian, P. (2022). Uncertain perceptual confidence. Nature Human Behaviour, 6, 179-180. doi:10.1038/s41562-021-01248-9

Kurzawski, J., Lunghi, C., Biagi, L., Tosetti, M., Maria Concetta, M. & Binda, P. (2022). Short-term plasticity in the human visual thalamus. eLife, 11. doi:10.7554/eLife.74565

Meso, A., Gekas, N., Mamassian, P. & Masson, G. (2022). Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions. eNeuro, 13(9), 3. doi:10.1523/ENEURO.0511-21.2022

Klever, L. , Mamassian, P. & Billino, J. (2022). Age-related differences in visual confidence are driven by individual differences in cognitive control capacities. Scientific Reports , 12(6016). doi:10.1038/s41598-022-09939-7

Wexler, M., Mamassian, P. & Schütz, A. (2022). Structure of visual biases revealed by individual differences. Vision Research, 195, 108014. doi:10.1016/j.visres.2022.108014

Angeletos Chrysaitis, N. , Jardri, R., Denève, S. & Seriès, P. (2021). No increased circular inference in adults with high levels of autistic traits or autism. Plos Computational Biology, 17(9), e1009006. doi:10.1371/journal.pcbi.1009006

Caziot, B. & Mamassian, P. (2021). Perceptual confidence judgments reflect self-consistency. Journal of Vision, 21(12), 8. doi:10.1167/jov.21.12.8

Ramus, F., Di Folco , C. , Guez, A. & Peyre, H. (2021). Epidémiologie des troubles de la lecture en France : une comparaison du DSM-5 et de la CIM-11. Approche neuropsychologique des apprentissages chez l'enfant, 175, 639-649

Lizarazu, M., Scotto Di Covella, L., van Wassenhove, V. , Rivière, D., Mizzi, R. , Lehongre, K., Hertz-Pannier, L. & Ramus, F. (2021). Neural entrainment to speech and nonspeech in dyslexia: conceptual replication and extension of previous investigations. Cortex, 137, 160-178. doi:10.1016/j.cortex.2020.12.024

Gialluisi, A., Andlauer, T., Mirza-Schreiber, N., Moll, K., Becker, J., Hoffmann, P., Ludwig, K., Czamara, D., Pourcain, B. , Honbolygó, F., Tóth, D., Csépe, V., Huguet, G., Chaix, Y., Iannuzzi, S., Démonet, J., Morris, A., Hulslander, J., Willcutt, E., Defries, J., Olson, R., Smith, S., Pennington, B., Vaessen, A., Maurer, U., Lyytinen, H., Peyrard-Janvid, M., Leppänen, P., Brandeis, D., Bonte, M., Stein, J., Talcott, J., Fauchereau, F., Wilcke, A., Kirsten, H., Müller, B., Francks, C., Bourgeron, T., Monaco, A., Ramus, F., Landerl, K., Kere, J., Scerri, T., Paracchini, S., Fisher, S., Schumacher, J., Nöthen, M., Müller-Myhsok, B. & Schulte-Körne, G. (2021). Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Molecular Psychiatry, 26 (7), 3004-3017. doi:10.1038/s41380-020-00898-x

Guez, A., Peyre, H., Williams, C., Labouret, G. & Ramus, F. (2021). The epidemiology of cognitive development. Cognition, 213, 104690. doi:10.1016/j.cognition.2021.104690

Ramus, F. & Peyre, H. (2021). Can the Prevalence of ADHD Really be 0.3%? Journal of Attention Disorders, 25(10), 1351‑1351. doi:1d0o.i1.o1r7g/71/01.1018770/150487205049782609286892

Williams, C., Peyre, H., Toro, R. & Ramus, F. (2021). Neuroanatomical norms in the UK Biobank: The impact of allometric scaling, sex, and age. Human Brain Mapping, 42(14), 4623-4642. doi:10.1002/hbm.25572

Di Folco , C. , Guez, A., Peyre, H. & Ramus, F. (2021). Epidemiology of reading disability: A comparison of DSM-5 and ICD-11 criteria. Scientific Studies of Reading, NA. doi:10.1080/10888438.2021.1998067

Liu , T., De Schotten, M. , Altarelli, I., Ramus, F. & Zhao, J. (2021). Maladaptive compensation of right fusiform gyrus in developmental dyslexia: A hub-based white matter network analysis. Cortex, 145, 57‑66. doi:10.1016/j.cortex.2021.07.016

Liu, S. , Wei, W. , Chen, Y. , Peyre, H. & Zhao, J. (2021). Visual–Spatial Ability Predicts Academic Achievement Through Arithmetic and Reading Abilities. Front. Psychol. doi:10.3389/fpsyg.2020.591308

Liu, C. , Tabea, S., M Davies, N. , Peyre, H., Lim, K. , Barker, E. , Llewellyn, C. , Dudbridge, F. & Pingault, J. (2021). Are there causal relationships between attention-deficit/hyperactivity disorder and body mass index? Evidence from multiple genetically informed designs. International Journal of Epidemiology, 50(2). doi:10.1093/ije/dyaa214

Ota, K. , Wu, Q. , Mamassian, P. & Maloney, L. (2021). Modeling visual estimation of the centers of symmetric distributions. , 21(9), 2381. doi:10.1167/jov.21.9.2381

Balsdon, T., Mamassian, P. & Wyart, V. (2021). Neural signatures of confidence after the completion of a perceptual decision. Journal of Vision, 21(9). doi:10.1167/jov.21.9.2518