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Stupacher, J., Bechtold, T. & Senn, O. (2024). A text mining approach to the use of “groove” in everyday language. Psychology of Music, 52(3), 340-361. https://doi.org/10.1177/03057356231205883

Reymore, L. & Hansen, N. C. (2020). A Theory of Instrument-Specific Absolute Pitch. Frontiers in Psychology, 11, Article 560877. https://doi.org/10.3389/fpsyg.2020.560877

Mencke, I., Omigie, D., Wald-Fuhrmann, M. & Brattico, E. (2019). Atonal Music: Can Uncertainty Lead to Pleasure? Frontiers in Neuroscience, 12(979), Article 979. https://doi.org/10.3389/fnins.2018.00979

Mencke, I., Omigie, D., Quiroga-Martinez, D. R. & Brattico, E. (2022). Atonal Music as a Model for Investigating Exploratory Behavior. Frontiers in Neuroscience, 16, Article 793163. https://doi.org/10.3389/fnins.2022.793163

Burchardt, L. S., Van De Sande, Y., Kehy, M., Gamba, M., Ravignani, A. & Pouw, W. (2024). A toolkit for the dynamic study of air sacs in siamang and other elastic circular structures. PLoS Computational Biology, 20(6), Article e1012222. https://doi.org/10.1371/journal.pcbi.1012222

Boccard, S. G., Fernandes, H., Jbabdi, S., van Hartevelt, T. J., Kringelbach, M. L., Quaghebeur, G., Moir, L., Mancebo, V. P., Pereira, E. A., Fitzgerald, J. J., Green, A. L., Stein, J. & Aziz, T. Z. (2015). A tractography study of Deep Brain Stimulation of the Anterior Cingulate Cortex in chronic pain: a key to improve the targeting. World Neurosurgery. https://doi.org/10.1016/j.wneu.2015.08.065

Møller, C., Garza-Villarreal, E. A., Hansen, N. C., Højlund, A., Bærentsen, K. B., Chakravarty, M. M. & Vuust, P. (2021). Audiovisual structural connectivity in musicians and non-musicians: a cortical thickness and diffusion tensor imaging study. Scientific Reports, 11(1), Article 4324. https://doi.org/10.1038/s41598-021-83135-x

Stefaniak, J. D., Lambon Ralph, M. A., De Dios Perez, B., Griffiths, T. D. & Grube, M. (2021). Auditory beat perception is related to speech output fluency in post-stroke aphasia. Scientific Reports, 11, Article 3168. https://doi.org/10.1038/s41598-021-82809-w

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Luft, C. D. B. (2020). Auditory but not audiovisual cues lead to higher neural sensitivity to the statistical regularities of an unfamiliar musical style. Journal of Cognitive Neuroscience, 32(12), 2241-2259. https://doi.org/10.1162/jocn_a_01614

Robson, H., Griffiths, T. D., Grube, M. & Woollams, A. M. (2019). Auditory, Phonological, and Semantic Factors in the Recovery From Wernicke’s Aphasia Poststroke: Predictive Value and Implications for Rehabilitation. Neurorehabilitation and Neural Repair, 33(10), 800-812. https://doi.org/10.1177/1545968319868709

Bonetti, L., Haumann, N. T., Brattico, E., Kliuchko, M., Vuust, P., Särkämö, T. & Näätänen, R. (2018). Auditory sensory memory and working memory skills: Association between frontal MMN and performance scores. Brain Research, 1700, 86-98. https://doi.org/10.1016/j.brainres.2018.06.034

Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L. & Happé, F. (2021). Autistic Cognition: Charting Routes to Anxiety. Trends in Cognitive Sciences, 25(7), 571-581. https://doi.org/10.1016/j.tics.2021.03.014

Stewart, M. E., Griffiths, T. D. & Grube, M. (2018). Autistic Traits and Enhanced Perceptual Representation of Pitch and Time. Journal of Autism and Developmental Disorders, 48(4), 1350-1358.

Desser, D., Assunção, F., Yan, X., Alves, V., Fernandes, H. & Hummel, T. (2021). Automatic segmentation of the olfactory bulb. Brain sciences, 11(9), Article 1141. https://doi.org/10.3390/brainsci11091141

Deco, G., Cruzat, J., Cabral, J., Tagliazucchi, E., Laufs, H., Logothetis, N. K. & Kringelbach, M. L. (2019). Awakening: Predicting external stimulation to force transitions between different brain states. Proceedings of the National Academy of Sciences (PNAS), 116(36), 18088-18097. https://doi.org/10.1073/pnas.1905534116

Kliuchko, M., Heinonen-Guzejev, M., Vuust, P., Tervaniemi, M. & Brattico, E. (2016). A window into the brain mechanisms associated with noise sensitivity. Scientific Reports, 6, 39236. Article 39236. https://doi.org/10.1038/srep39236

Møller, C., Stupacher, J., Celma-Miralles, A. & Vuust, P. (2021). Beat perception in polyrhythms: Time is structured in binary units. PLoS One, 16(8 ), Article e0252174. https://doi.org/10.1371/journal.pone.0252174

Brattico, E., Brusa, A., Dietz, M., Jacobsen, T., Fernandes, H. M., Gaggero, G., Toiviainen, P., Vuust, P. & Proverbio, A. M. (2025). Beauty and the brain – Investigating the neural and musical attributes of beauty during naturalistic music listening. Neuroscience, 567, 308-325. https://doi.org/10.1016/j.neuroscience.2024.12.008

Dai, R., Toiviainen, P., Vuust, P., Jacobsen, T. & Brattico, E. (2025). Beauty Is in the Brain Networks of the Beholder: An Exploratory Functional Magnetic Resonance Imaging Study. Psychology of Aesthetics, Creativity, and the Arts. Advance online publication. https://doi.org/10.1037/aca0000681

Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R. & Frith, U. (2003). Becoming a pianist. An fMRI study of musical literacy acquisition. Annals of the New York Academy of Sciences, 999, 204-8.

Jespersen, K. V., Madsen, J. & Vuust, P. (2020). Bedtime Music for Sleep Problems in older Adults with Dementia: a pilot feasibility Study. Music and Medicine, 12(4), 222-230. https://mmd.iammonline.com/index.php/musmed/index

Sadaphal, D. P., Blum, C. R., Keller, P. E. & Fitch, W. T. (2025). Beyond perfect synchrony: shared interpersonal rhythmic timing enhances self-other merging judgements. Royal Society Open Science, 12(3), Article 241501. https://doi.org/10.1098/rsos.241501

Seeberg, A. B., Matthews, T. E., Højlund, A., Vuust, P. & Petersen, B. (2025). Beyond syncopation: The number of rhythmic layers shapes the pleasurable urge to move to music. Cognition, 262, Article 106178. https://doi.org/10.1016/j.cognition.2025.106178

Manriquez P, R., Kotz, S. A., Ravignani, A. & de Boer, B. (2024). Bioacoustic classification of a small dataset of mammalian vocalisations using deep learning. Bioacoustics, 33(4), 354-371. https://doi.org/10.1080/09524622.2024.2354468

Moguilner, S., Herzog, R., Perl, Y. S., Medel, V., Cruzat, J., Coronel, C., Kringelbach, M., Deco, G., Ibáñez, A. & Tagliazucchi, E. (2024). Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition. Alzheimer's Research & Therapy, 16(1), Article 79. https://doi.org/10.1186/s13195-024-01449-0

Witek, M. A. G., Matthews, T. E., Bechtold, T. A. & Penhune, V. (2025). Body maps of the sensation of musical groove. PNAS Nexus, 4(10), Article pgaf306. https://doi.org/10.1093/pnasnexus/pgaf306

Stewart, L., Henson, R., Kampe, K., Walsh, V., Turner, R. & Frith, U. (2003). Brain changes after learning to read and play music. NeuroImage, 20(1), 71-83.

Fjældstad, A., Fernandes, H., van Hartevelt, T. J., Gleesborg, C., Møller, A., Ovesen, T. & Kringelbach, M. L. (2017). Brain fingerprints of olfaction: a novel structural method for assessing olfactory cortical networks in health and disease. Scientific Reports, 7(7), Article 42534. https://doi.org/10.1038/srep42534

Segal, A., Charquero-Ballester, M., Vaisvasser, S., Cabral, J., Ben-Zion, Z., Vidaurre, D., Stark, E., McManners, H., Woolrich, M., Ehlers, A., Bar-Haim, Y., Hendler, T. & Kringelbach, M. L. (2025). Brain network dynamics following induced acute stress: A neural marker of psychological vulnerability to real-life chronic stress. Psychological Medicine, 55, Article e187. https://doi.org/10.1017/S0033291725100913

Harry, B. B., Margulies, D. S., Falkiewicz, M. & Keller, P. E. (2023). Brain networks for temporal adaptation, anticipation, and sensory-motor integration in rhythmic human behavior. Neuropsychologia, 183, Article 108524. https://doi.org/10.1016/j.neuropsychologia.2023.108524

Bonetti, L., Bruzzone, S. E. P., Sedghi, N. A., Haumann, N. T., Paunio, T., Kantojärvi, K., Kliuchko, M., Vuust, P. & Brattico, E. (2021). Brain predictive coding processes are associated to COMT gene Val158Met polymorphism. NeuroImage, 233, Article 117954. https://doi.org/10.1016/j.neuroimage.2021.117954

Bonetti, L., Brattico, E., Bruzzone, S. E. P., Donati, G., Deco, G., Pantazis, D., Vuust, P. & Kringelbach, M. L. (2023). Brain recognition of previously learned versus novel temporal sequences: A differential simultaneous processing. Cerebral Cortex, 33(9), 5524–5537. https://doi.org/10.1093/cercor/bhac439

Petersen, B., Weed, E., Sandmann, P., Brattico, E., Hansen, M., Sørensen, S. D. & Vuust, P. (2015). Brain responses to musical feature changes in adolescent cochlear implant users. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2015.00007

Deco, G., Cruzat, J. & Kringelbach, M. L. (2019). Brain songs framework used for discovering the relevant timescale of the human brain. Nature Communications, 10, Article 583. https://doi.org/10.1038/s41467-018-08186-7

Padilla, N., Saenger, V. M., van Hartevelt, T. J., Fernandes, H. M., Lennartsson, F., Andersson, J. L. R., Kringelbach, M., Deco, G. & Åden, U. (2020). Breakdown of Whole-brain Dynamics in Preterm-born Children. Cerebral Cortex, 30(3), 1159-1170. https://doi.org/10.1093/cercor/bhz156

Te Lindert, B. H. W., Itzhacki, J., van der Meijden, W. P., Kringelbach, M. L., Mendoza, J. & Van Someren, E. J. W. (2018). Bright environmental light ameliorates deficient subjective 'liking' in insomnia: an experience sampling study. Sleep, 41(4), Article 022. https://doi.org/10.1093/sleep/zsy022

Bonetti, L., Fernández-Rubio, G., Andersen, M. H., Malvaso, C., Carlomagno, F., Testa, C., Vuust, P., Kringelbach, M. L. & Rosso, M. (2025). BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks. Advanced Science. Advance online publication. https://doi.org/10.1002/advs.202507878

Nartallo-Kaluarachchi, R., Asllani, M., Deco, G., Kringelbach, M. L., Goriely, A. & Lambiotte, R. (2024). Broken detailed balance and entropy production in directed networks. Physical Review E, 110(3), Article 034313. https://doi.org/10.1103/PhysRevE.110.034313

Galadí, J. A., Silva Pereira, S., Sanz Perl, Y., Kringelbach, M. L., Gayte, I., Laufs, H., Tagliazucchi, E., Langa, J. A. & Deco, G. (2021). Capturing the non-stationarity of whole-brain dynamics underlying human brain states. NeuroImage, 244, Article 118551. https://doi.org/10.1016/j.neuroimage.2021.118551

Hersh, T. A., Ravignani, A. & Whitehead, H. (2024). Cetaceans are the next frontier for vocal rhythm research. Proceedings of the National Academy of Sciences of the United States of America, 121(25), e2313093121. Article e2313093121. https://doi.org/10.1073/pnas.2313093121

Stewart, L. (2011). Characterizing congenital amusia. Quarterly Journal of Experimental Psychology, 64(4), 625-38. https://doi.org/10.1080/17470218.2011.552730

Fjaeldstad, A. W. & Fernandes, H. M. (2020). Chemosensory Sensitivity after Coffee Consumption Is Not Static: Short-Term Effects on Gustatory and Olfactory Sensitivity. Foods, 9(4), Article 493. https://doi.org/10.3390/foods9040493

Maldarelli, G., Dissegna, A., Ravignani, A. & Chiandetti, C. (2024). Chicks produce consonant, sometimes jazzy, sounds. Biology Letters, 20(9), Article 20240374. https://doi.org/10.1098/rsbl.2024.0374

Eleuteri, V., van der Werff, J., Wilhelm, W., Soldati, A., Crockford, C., Desai, N., Fedurek, P., Fitzgerald, M., Graham, K. E., Koops, K., Pruetz, J., Samuni, L., Slocombe, K., Stoeger, A., Wilson, M. L., Wittig, R. M., Zuberbühler, K., Camara, H. D., Mamy, G. ... Hobaiter, C. (2025). Chimpanzee drumming shows rhythmicity and subspecies variation. Current Biology, 35(10), 2448-2456.e4. https://doi.org/10.1016/j.cub.2025.04.019

Moisseinen, N., Ahveninen, L., Martínez-Molina, N., Sairanen, V., Melkas, S., Kleber, B., Sihvonen, A. J. & Särkämö, T. (2024). Choir singing is associated with enhanced structural connectivity across the adult lifespan. Human Brain Mapping, 45(7), Article e26705. https://doi.org/10.1002/hbm.26705

Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. & Carlson, S. (2010). Cognitive and motor loops of the human cerebro-cerebellar system. Journal of Cognitive Neuroscience, 22(11), 2663-76.

Cheung, V. K. M., Harrison, P. M. C., Koelsch, S., Pearce, M. T., Friederici, A. D. & Meyer, L. (2024). Cognitive and sensory expectations independently shape musical expectancy and pleasure. Philosophical Transactions of the Royal Society B: Biological Sciences, 379(1895), Article 20220420. https://doi.org/10.1098/rstb.2022.0420

Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., Koivisto, J., Gjedde, A. & Carlson, S. (2010). Cognitive control in auditory working memory is enhanced in musicians. PLoS One, 5(6), Article 11120. https://doi.org/10.1371/journal.pone.0011120

Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N. & Kringelbach, M. L. (2017). Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest. Scientific Reports, 7(1), 5135. Article 5135. https://doi.org/10.1038/s41598-017-05425-7

Brattico, E., Jacobsen, T., De Baene, W., Glerean, E. & Tervaniemi, M. (2010). Cognitive vs. affective listening modes and judgments of music - An ERP study. Biological Psychology, 85(3), 393-409. https://doi.org/10.1016/j.biopsycho.2010.08.014

Displaying results 401 to 450 out of 946

Revised 20.09.2024

Hella Kastbjerg