Highlight publications
Cutler, J, Nitschke, JP, Lamm, C & Lockwood, PL 2021, 'Older adults across the globe exhibit increased prosocial behavior but also greater in-group preferences', Nature Aging, vol. 1, pp. 880–888. https://doi.org/10.1038/s43587-021-00118-3
Cutler, J, Wittmann, MK, Abdurahman, A, Hargitai, LD, Drew, D, Husain, M & Lockwood, PL 2021, 'Ageing is associated with disrupted reinforcement learning whilst learning to help others is preserved', Nature Communications, vol. 12, no. 1, 4440. https://doi.org/10.1038/s41467-021-24576-w
Lockwood, PL, Apps, MAJ, Valton, V, Viding, E & Roiser, JP 2016, 'Neurocomputational mechanisms of prosocial learning and links to empathy', Proceedings of the National Academy of Sciences, vol. 113, no. 35, pp. 9763–9768. https://doi.org/10.1073/pnas.1603198113
Lockwood, PL, Hamonet, M, Zhang, SH, Ratnavel, A, Salmony, FU, Husain, M & Apps, MAJ 2017, 'Prosocial apathy for helping others when effort is required', Nature Human Behaviour, vol. 1, no. 7, 0131. https://doi.org/10.1038/s41562-017-0131
Lockwood, PL, Klein-Flügge, MC, Abdurahman, A & Crockett, MJ 2020, 'Model-free decision making is prioritized when learning to avoid harming others', Proceedings of the National Academy of Sciences, vol. 117, no. 44, pp. 27719-27730. https://doi.org/10.1073/pnas.2010890117
Recent publications
Article
Trudel, N, Lockwood, PL, Rushworth, MFS & Wittmann, MK 2023, 'Neural activity tracking identity and confidence in social information', eLife, vol. 12, e71315. https://doi.org/10.7554/eLife.71315
Contreras-Huerta, LS, Coll, M-P, Bird, G, Yu, H, Prosser, A, Lockwood, PL, Murphy, J, Crockett, MJ & Apps, MAJ 2023, 'Neural representations of vicarious rewards are linked to interoception and prosocial behaviour', NeuroImage, vol. 269, 119881. https://doi.org/10.1016/j.neuroimage.2023.119881
Byrne, KA, Lockwood, PL, Anaraky, RG & Liu, Y 2022, 'Age differences in prosocial behavior depend on effort costs', The Journals of Gerontology: Series B. https://doi.org/10.1093/geronb/gbac194
Lockwood, P, Wittmann, MK, Nili, H, Matsumoto-Ryan, M, Abdurahman, A, Cutler, J, Husain, M & Apps, M 2022, 'Distinct neural representations for prosocial and self-benefiting effort', Current Biology, vol. 32, no. 19, pp. 4172-4209. https://doi.org/10.1016/j.cub.2022.08.010
Jin, T, Zhang, S, Lockwood, P, Vilares, I, Wu, H, Liu, C & Ma, Y 2022, 'Learning whom to cooperate with: neurocomputational mechanisms for choosing cooperative partners', Cerebral Cortex. https://doi.org/10.1093/cercor/bhac365
Martins, D, Lockwood, P, Cutler, J, Moran, R & Paloyelis, Y 2022, 'Oxytocin modulates neurocomputational mechanisms underlying prosocial reinforcement learning', Progress in neurobiology, vol. 213, 102253. https://doi.org/10.1016/j.pneurobio.2022.102253
Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, JC, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, PA, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, MD, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, CT, Franc, R, Pavlović, Z, Mitkidis, P, Cichocka, A, Gelfand, M, Alfano, M, Ross, RM, Sjåstad, H, Nezlek, JB, Cislak, A, Lockwood, P, Abts, K, Agadullina, E, Amodio, DM, Apps, MAJ, Aruta, JJB, Besharati, S, Bor, A, Choma, B, Cunningham, W, Ejaz, W, Farmer, H, Findor, A, Gjoneska, B, Gualda, E, Huynh, TLD, Imran, MA, Israelashvili, J, Kantorowicz-Reznichenko, E, Krouwel, A, Kutiyski, Y, Laakasuo, M, Lamm, C, Levy, J, Leygue, C, Lin, M-J, Mansoor, MS, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Olsson, A, Otterbring, T, Packer, D, Palomäki, J, Perry, A, Petersen, MB, Puthillam, A, Rothmund, T, Schmid, PC, Stadelmann, D, Stoica, A, Stoyanov, D, Stoyanova, K, Tewari, S, Todosijević, B, Torgler, B, Tsakiris, M, Tung, HH, Umbreș, RG, Vanags, E, Vlasceanu, M, Vonasch, AJ, Zhang, Y, Abad, M, Adler, E, Mdarhri, HA, Antazo, B, Ay, FC, Ba, MEH, Barbosa, S, Bastian, B, Berg, A, Białek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, JE, Borau, S, Buchel, O, de Carvalho, CF, Celadin, T, Cerami, C, Chalise, HN, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Córdoba-Delgado, MA, Crespi, C, Crouzevialle, M, Cutler, J, Cypryańska, M, Dabrowska, J, Davis, VH, Minda, JP, Dayley, PN, Delouvée, S, Denkovski, O, Dezecache, G, Dhaliwal, NA, Diato, A, Di Paolo, R, Dulleck, U, Ekmanis, J, Etienne, TW, Farhana, HH, Farkhari, F, Fidanovski, K, Flew, T, Fraser, S, Frempong, RB, Fugelsang, J, Gale, J, García-Navarro, EB, Garladinne, P, Gray, K, Griffin, SM, Gronfeldt, B, Gruber, J, Halperin, E, Herzon, V, Hruška, M, Hudecek, MFC, Isler, O, Jangard, S, Jørgensen, F, Keudel, O, Koppel, L, Koverola, M, Kunnari, A, Leota, J, Lermer, E, Li, C, Longoni, C, McCashin, D, Mikloušić, I, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nitschke, JP, Nurse, MS, de Mello, VO, Palacios-Galvez, MS, Pan, Y, Papp, Z, Pärnamets, P, Paruzel-Czachura, M, Perander, S, Pitman, M, Raza, A, Rêgo, GG, Robertson, C, Rodríguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, WM, Santi, GC, Schultner, D, Schutte, E, Scott, A, Skali, A, Stefaniak, A, Sternisko, A, Strickland, B, Thomas, JP, Tinghög, G, Traast, IJ, Tucciarelli, R, Tyrala, M, Ungson, ND, Uysal, MS, Van Rooy, D, Västfjäll, D, Vieira, JB, von Sikorski, C, Walker, AC, Watermeyer, J, Willardt, R, Wohl, MJA, Wójcik, AD, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, RA, Boggio, PS, Whillans, A, Van Lange, PAM, Prasad, R, Onderco, M, O'Madagain, C, Nesh-Nash, T, Laguna, OM, Kubin, E, Gümren, M, Fenwick, A, Ertan, AS, Bernstein, MJ, Amara, H & Van Bavel, JJ 2022, 'Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning', PNAS nexus, vol. 1, no. 3, pgac093. https://doi.org/10.1093/pnasnexus/pgac093
Pauli, R & Lockwood, P 2022, 'The computational psychiatry of antisocial behaviour and psychopathy', Neuroscience & Biobehavioral Reviews, vol. 145, 104995. https://doi.org/10.1016/j.neubiorev.2022.104995
Khalighinejad, N, Garrett, N, Priestley, L, Lockwood, P & Rushworth, MFS 2021, 'A habenula-insular circuit encodes the willingness to act', Nature Communications, vol. 12, no. 1, 6329 . https://doi.org/10.1038/s41467-021-26569-1
Lockwood, PL, Abdurahman, A, Gabay, AS, Drew, D, Tamm, M, Husain, M & Apps, MAJ 2021, 'Aging increases prosocial motivation for effort', Psychological Science, vol. 32, no. 5, pp. 668–681. https://doi.org/10.31234/osf.io/8c5ra, https://doi.org/10.1177/0956797620975781
Klar, VS, Ang, Y-S, Lockwood, P, Attaallah, B, Dickson, S, Drew, D, Kienast, A, Maio, MR, Plant, O, Slavkova, E, Toniolo, S, Zambellas, R, Irani, SR & Husain, M 2021, 'Assessment of apathy in neurological patients using the Apathy Motivation Index caregiver version', Journal of Neuropsychology. https://doi.org/10.1111/jnp.12262
Preprint
Contreras-Huerta, LS, Pisauro, MA, Kuechenhoff, S, Gekiere, A, Heron, CL, Lockwood, P & Apps, MAJ 2022 'A reward self-bias leads to more optimal foraging for ourselves than others' PsyArXiv. https://doi.org/10.31234/osf.io/8r45z
Forbes, P, Aydogan, G, Braunstein, J, Todorova, B, Wagner, I, Lockwood, P, Apps, MAJ, Ruff, C & Lamm, C 2022 'Acute stress reduces effortful prosocial behaviour' PsyArXiv. https://doi.org/10.31234/osf.io/mgn32
Jansen, M, Lockwood, P, Cutler, J & Bruijn, ED 2022 'L-DOPA and oxytocin influence the neurocomputational mechanisms of self-benefitting and prosocial reinforcement learning' PsyArXiv. https://doi.org/10.31234/osf.io/h7yrz
Cutler, J, Apps, MAJ & Lockwood, P 2022 'Reward processing and reinforcement learning: from adolescence to aging' PsyArXiv. https://doi.org/10.31234/osf.io/pnuk8
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