Publications

Williams, C., Peyre, H., Labouret, G., Fassaya, J., Guzmán García, A., Gauvrit, N. & Ramus, F. (2023). High Intelligence is Not Associated with a Greater Propensity for Mental Health Disorders. European Psychiatry, 66(1), e3. doi:10.1192/j.eurpsy.2022.2343

Williams, C., Peyre, H. & Ramus, F. (2023). Brain volumes, thicknesses, and surface areas as mediators of genetic factors and childhood adversity on intelligence. Cerebral cortex, 33, 5885–5895. doi:10.1093/cercor/bhac468

Zhao, J., Zhao, Y., Song, Z., Thiebaut De Schotten, M., Altarelli, I. & Ramus, F. (2023). Adaptive compensation of arcuate fasciculus lateralization in developmental dyslexia. Cortex; a journal devoted to the study of the nervous system and behavior, 167, 1-11. doi:10.1016/j.cortex.2023.05.017

Acerbi , A., Yesilaltay , S. & Mercier, H. (2022). Research note: Fighting misinformation or fighting for information? Harvard Kennedy School (HKS) Misinformation Review, 3(1), 1-15. doi:10.37016/mr-2020-87

Anlló, H., Katsumi, W., Sackur, J. & de Gardelle, V. (2022). Effects of false statements on visual perception hinge on social suggestibility. J Exp Psychol Hum Percept Perform, 48(8), 889–900. doi:10.1037/xhp0001024

Atkinson-Clement, C. , Maël, L., Patsalides, L. , De Liege, A. , Klein, Y. , Roze, E. , Deniau, E. , Andreas, H., Palminteri, S. & Yulia, W. (2022). Decision-making under risk and ambiguity in adults with Tourette syndrome. Psychological Medicine, 1-11. doi:10.1017/S0033291722002318

Branch-Smith, T. & Origgi, G. (2022). Social Indicators of Trust in the Age of Informational Chaos. Social Epistemology, 36(5), 533-540. doi:10.1080/02691728.2022.2121622

Branch-Smith, T. , Origgi, G. & Morisseau, T. (2022). Why Trust Raoult? How Social Indicators Inform the Reputations of Experts. Social Epistemology, 36(3), 299-316 . doi:10.1080/02691728.2022.2042421

Chierchia, G. , Soukupová, M., Kilford, E., Griffin, C. , Leung, J. , Palminteri, S. & Blakemore, S. (2022). Confirmatory reinforcement learning changes with age during adolescence. Developmental Science, .(e13330). doi:10.1111/desc.13330

Dezecache, G. & Mercier, H. (2022). Emotional Vigilance. The Oxford Handbook of Evolution and the Emotions

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

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

Farrell, H. , Mercier, H. & Schwartzberg, M. (2022). Analytical Democratic Theory: A Microfoundational Approach. American Political Science Review. doi:10.1017/S0003055422000715

Feldman, N., Goldwater, S., Dupoux, E. & Schatz, T. (2022). Do Infants Really Learn Phonetic Categories? . Open Mind, 5, 113-131. doi:10.1162/opmi_a_00046

Gallezot, C. , Riad, R., Titeux, H., Lemoine, L., Montillot, J., Sliwinski, A., Hamet Bagnou, J., Cao, X., Youssov, K., Dupoux, E. & Bachoud-Levi, A. (2022). Emotion expression through spoken language in Huntington Disease. Cortex. doi:10.1016/j.cortex.2022.05.024

Hacquin, A., Yesilaltay , S., Aaroe, L. & Mercier, H. (2022). Disgust sensitivity and public opinion on nuclear energy. Journal of Environmental Psychology, 80(101749). doi:10.1016/j.jenvp.2021.101749

Liu, Y., De Schotten, M. , Altarelli, I., Ramus, F. & Zhao, J. (2022). Neural dissociation of visual attention span and phonological deficits in developmental dyslexia: A hub-based white matter network analysis. Human Brain Mapping, 43(17). doi:10.1002/hbm.25997

Ludusan, B., Cristia, A., Mazuka, R. & Dupoux, E. (2022). How much does prosody help word segmentation? A simulation study on infant-directed speech. Cognition, 219(104961). doi:10.1016/j.cognition.2021.104961

Lussange, J., Vrizzi, S., Bourgeois-Gironde, S., Palminteri, S. & Gutkin, B. (2022). Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model. Comput Econ. doi:10.1007/s10614-022-10249-3

M Price, K., G Wigg, K., Eising, E. , Feng, Y. , Blokland, K., Wilkinson, M., N Kerr, E., L Guger, S., Trait Working Group Of The Genlang Consortium, Q., Ramus, F., E Fisher, S., W Lovett, M., J Strug, L. & L Barr, C. (2022). Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities. Translational psychiatry, 12(495), 1-9. doi:10.1038/s41398-022-02250-z

Mercier, H., Yesilaltay , S. & Hacquin, A. (2022). Why do so few people share fake news? It hurts their reputation. , 24(6), 1303-1324. doi:10.1177/1461444820969893

Mercier, H. & Claidière, N. (2022). Does discussion make crowds any wiser? Cognition, 22, 104912. doi:10.1016/j.cognition.2021.104912

Origgi, G. (2022). The Social Indicators of the Reputation of an Expert. Social Epistemology, 36(5), 541–549. doi:10.1080/02691728.2022.2116962

Origgi, G. (2022). Populismo epistemico o della tirannia del buon senso. Teoria politica, 11, 113-122

Palminteri, S. & Maël, L. (2022). The computational roots of positivity and confirmation biases in reinforcement-learning. Trends in Cognitive Sciences, 26(7), 607-621. doi:10.1016/j.tics.2022.04.005

Proust, J. (2022). The Cultural Evolution of Information Seeking. Journal of Cognition and Culture, 25(5), 467-484. doi:10.1163/15685373-12340146

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington's disease: a lightweight speech test. Journal of neurology, 269(9), 5008-5021. doi:10.1007/s00415-022-11148-1

Riad, R., Lunven, M., Titeux, H., Cao, X., Hamet Bagnou, J., Lemoine, L., Montillot, J., Sliwinski, A., Youssov, K., Cleret de Langavant, L., Dupoux, E. & Bachoud-Levi, A. (2022). Predicting clinical scores in Huntington’s disease: a lightweight speech test. J Neurol, . doi:10.1007/s00415-022-11148-1

Van Bavel, J. , Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J., Pavlović, T., Alfano, M., Gelfand, M., Azevedo, F., Birtel, M., Cislak, A., Lockwood, P., Ross, R., Abts, K., Agadullina, E., Aruta, J. , Besharati, S. , Bor, A., Choma, B. , Crabtree, C. , Cunningham, W. , De, K., Ejaz, W., Elbaek, C. , Findor, A., Flichtentrei, D., Franc, R., Gjoneska, B., Gruber, J., Gualda, E., Horiuchi, y., Huynh, T. , Ibanez, A., Imran, M. , Israelashvili, J., Jasko, K., Kantorowicz, J., Kantorowicz-Reznichenko, E., Krouwel, A., Laakasuo, M., Lamm, C., Leygue, C., Lin, M., Mansoor, M. , Marie, A. , Mayiwar, L., Mazepus, H., Mchugh, C., Minda, J. , Mitkidis, P., Olsson, A., Otterbring, T., Packer, D. , Perry, A., Petersen, M. , Puthillam, A., Riaño-Moreno, J. , Rothmund, T., Santamaría-García, H., Schmid, P. , Stoyanov, D., Tewari, S., Todosijević, B., Tsakiris , M., Tung, H., Umbreș, R. , Vanags, E., Vlasceanu, M., Vonasch, A., Yucel, M., Zhang, Y., Abad, M., Adler, E., Akrawi, N., Mdarhri, H. , Amara, H., Amodio, D. , Antazo, B. , Apps, M., Ay, F. , Ba, M. , Bai, X., Baquiano, M. , Barbosa, S., Bastian, B., Belleza, D. , Berg, A., Bernal-Zárate, M. , Bernstein, M., Białek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J. , Borau, S., Buchel, O., Cameron, D., Carvalho, C. , Celadin, T., Cerami, C., Chalise, H. , Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M. , Crespi, C., Crouzevialle, M., Cutler, J., Cypryańska, M., Dabrowska, J., Daniels, M. , Davis, V. , Dayley, P. , Delouvee, S., Denkovski, O., Dezecache, G., Dhaliwal, N. , Diato, A. , Paolo, R. , Drosinou, M., Dulleck, U., Ekmanis, J., Ertan, A. , Farkhari, T. , Farmer, H., Fenwick, A., Fidanovski, K., Flew, T., Fraser, S., Frempong, R. , Fugelsang, J. , Gale, J., Garcia-Navarro, E. , Garladinne, P., Ghajjou, O., Gkinopoulos, T., Gray, K., Griffin, S. , Gronfeldt, B., Gümren, M., Gurung, R., Halperin, E., Harris, E., Herzon, V., Hruška, M., Huang, G. , Hudecek, M. , Isler, O., Jangard, S., Jørgensen, F. , Kachanoff, F., Kahn, J., Dangol, A. , Keudel, L., Koppel, L., Koverola, M., Kubin, E., Kunnari, A., Kutiyski, y., Labor, P. , Laguna, O., Leota, J., Lermer, E., Levy, J., Levy, N., Li, C., Long, E. , Longoni, C., Maglić, M., Mccashin, D., Metcalf, A. , Mikloušić, I., Mimouni, S. , Miura, A., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nesh-Nash, T., Nitschke, J. , Nurse, M. , Ohtsubo, y., Mello, V. , O'Madagain, C., Onderco, M., Palacios-Galvez, M. , Palomäki, J., Pan, y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Pavlović, Z., Gómez, C. , Perander, S., Pitman, M. , Prasad, R., Pyrkosz-Pacyna, J., Rathje, S., Raza, A., Rêgo, G. , Rhee, K., Robertson, C. , Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W. , Santi, G. , Santiago-Tovar, N., Savage, D., Scheffer, J. , Schönegger, P., Schultner, D. , Schutte, E. , Scott, A., Sharma, M., Sharma, P., Skali, A., Stadelmann, D., Stafford, C. , Stanojević, D., Stefaniak, A., Sternisko, A., Stoica, C. , Stoyanova, K. , Strickland, B., Sundvall, J., Thomas, J. , Tinghög, G., Torgler, B., Traast, I. , Tucciarelli, R., Tyrala, M., Ungson, N. , Uysal, M. , Lange, P. , Prooijen, J. , Rooy, D. , Västfjäll, D., Verkoeijen, P., Vieira, J. , Sikorski, C. , Walker, A. , Watermeyer, J., Wetter, E., Whillans, A., Willardt, R., Wohl, M. , Wójcik, A. , Wu, K., Yamada, y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R. & Boggio, P. (2022). National identity predicts public health support during a global pandemic: Results from 67 nations. Nature Communications, 13(1), 517. doi:10.1038/s41467-021-27668-9

Vandendriessche, H., Demmou, A. , Bavard, S., Yadak, J. , Lemogne, C. , Mauras, T. & Palminteri, S. (2022). Contextual influence of reinforcement learning performance of depression: evidence for a negativity bias? Psychological Medicine, ., 1-11. doi:10.1017/S0033291722001593