Brain Rhythms and Cognition

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The human brain processes and analyzes complex information within fractions of a second, overcoming both input ambiguity and noise. In our group, we use time-resolved neuroimaging techniques (MEG and EEG) to understand the computational dynamics and architecture of language processing.

The temporal structure of the surrounding environment provides cues that help the brain optimally sample external stimuli and orchestrate appropriate responses.

The Brain Rhythms and Cognition group explores how the brain encodes visual, auditory and linguistic rhythms by focusing on neural oscillatory activity. Based on this approach we investigate predictive processing in language comprehension, music processing and visual and attentional processes.

These research lines merge into the more general goal of detecting oscillatory neural components that lead to the development of language disorders across the lifespan.

Our team

Irene Echeverria Altuna

Research

Izhar Dad Khan

Research

Jiaqi (Mo) Mao

Research

José Antonio Gonzalo

Research

Jose J. Pérez-Navarro

Research

Li-Chuan Ku

Research

Manuela Ruzzoli

Research

María de Almeida Ribeiro

Research

Marta La Pietra

Research

Mikel Lizarazu

Research

Mohamed Issa

Research

Nicola Molinaro

Research

Noemi Bonfiglio

Research

Tomas Lenc

Research

Vincenzo Verbeni

Research

Publications

2024

Gastaldon, S., Bonfiglio, N., Vespignani, F., & Peressotti, F. (2024). Predictive language processing: integrating comprehension and production, and what atypical populations can tell us. Frontiers in Psychology, 15. Doi:10.3389/fpsyg.2024.1369177

Mushtaq, F., Welke, D., Gallagher, A., Pavlov, Y.G., Kouara, L., Bosch-Bayard, J., van den Bosch, J.J.F., Arvaneh, M., Bland, A.R., Chaumon, M., Borck, C., He, X., Luck, S.J., Machizawa, M.G., Pernet, C., Puce, A., Segalowitz, S.J., Rogers, C., Awais, M., Babiloni, C., Bailey, N.W., Baillet, S., Bendall, R.C.A., Brady, D., Bringas-Vega, M.L., Busch, N.A., Calzada-Reyes, A., Chatard, A., Clayson, P.E., Cohen, M.X., Cole, J., Constant, M., Corneyllie, A., Coyle, D., Cruse, D., Delis, I., Delorme, A., Fair, D., Falk, T.H., Gamer, M., Ganis, G., Gloy, K., Gregory, S., Hassall, C.D., Hiley, K.E., Ivry, R.B., Jerbi, K., Jenkins, M., Kaiser, J., Keil, A., Knight, R.T., Kochen, S., Kotchoubey, B., Krigolson, O.E., Langer, N., Liesefeld, H.R., Lippé, S., London, R.E., MacNamara, A., Makeig, S., Marinovic, W., Martínez-Montes, E., Marzuki, A.A., Mathew, R.K., Michel, C., Millán, J.d.R., Mon-Williams, M., Morales-Chacón, L., Naar, R., Nilsonne, G., Niso, G., Nyhus, E., Oostenveld, R., Paul, K., Paulus, W., Pfabigan, D.M., Pourtois, G., Rampp, S., Rausch, M., Robbins, K., Rossini, P.M., Ruzzoli, M., Schmidt, B., Senderecka, M., Srinivasan, N., Stegmann, Y., Thompson, P.M., Valdes-Sosa, M., van der Molen, M.J.W., Veniero, D., Verona, E., Voytek, B., Yao, D., Evans, A.C., & Valdes-Sosa, P. (2024). One hundred years of EEG for brain and behaviour research. Nature Human Behaviour, 8(8), 1437-1443. Doi:10.1038/s41562-024-01941-5

2023

Lo, C.W., Henke, L., Martorell, J., & Meyer, L. (2023). When linguistic dogma rejects a neuroscientific hypothesis. Nature Reviews Neuroscience, 24(11), 725. Doi:10.1038/s41583-023-00738-1

2021

Martorell, J. (2021). Elliot Murphy, The oscillatory nature of language. Cambridge: Cambridge University Press, 2020. Pp. xiii + 321. Journal of Linguistics, 57(2), 453-457. Doi:10.1017/S0022226721000074