Our publications

Liu, F., Jiang, C., Pfordresher, P. Q., Mantell, J. T., Xu, Y., Yang, Y. & Stewart, L. (2013). Individuals with congenital amusia imitate pitches more accurately in singing than in speaking: implications for music and language processing. Attention, Perception & Psychophysics, 75(8), 1783-98. https://doi.org/10.3758/s13414-013-0506-1

Müllensiefen, D., Fry, J., Jones, R., Jilka, S., Stewart, L. & Williamson, V. J. (2014). Individual differences predict patterns in spontaneous involuntary musical imagery. Music Perception, 31(4), 323-338. https://doi.org/10.1525/MP.2014.31.4.323

Jobst, B. M., Atasoy, S., Ponce-Alvarez, A., Sanjuán, A., Roseman, L., Kaelen, M., Carhart-Harris, R., Kringelbach, M. L. & Deco, G. (2021). Increased sensitivity to strong perturbations in a whole-brain model of LSD. NeuroImage, 230, [117809]. https://doi.org/10.1016/j.neuroimage.2021.117809

Hove, M. J., Vuust, P. & Stupacher, J. (2019). Increased levels of bass in popular music recordings 1955-2016 and their relation to loudness. The Journal of the Acoustical Society of America, 145(4), 2247-2253. https://doi.org/10.1121/1.5097587

Brownlee, WJ., Alves Da Mota, P., Prados, F., S Solanky, B., Riemer, F., Cardoso, M. J., Ourselin, S., Golay, X., Gandini Wheeler-Kingshott, CAM., Miller, DH. & Ciccarelli, O. (2016). Increased cortical and deep grey matter sodium concentration is associated with physical and cognitive disability in relapse-onset multiple sclerosis.. Abstract from 32nd ECTRIMS Congress, London, United Kingdom.

Jobst, B. M., Hindriks, R., Laufs, H., Tagliazucchi, E., Hahn, G., Ponce-Alvarez, A., Stevner, A. B. A., Kringelbach, M. L. & Deco, G. (2017). Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling. Scientific Reports, 7(1), 4634. https://doi.org/10.1038/s41598-017-04522-x

Farinha, M., Amado, C., Morgado, P. & Cabral, J. (2022). Increased Excursions to Functional Networks in Schizophrenia in the Absence of Task. Frontiers in Neuroscience, 16, [821179]. https://doi.org/10.3389/fnins.2022.821179

Xu, Z., Shi, L., Hu, F., White, R., Stewart, L. & Yao, J. (2003). In utero development of central ANG-stimulated pressor response and hypothalamic fos expression. Brain Research, 145(2), 169-76.

Quarto, T., Blasi, G., Pallesen, K. J., Bertolino, A. & Brattico, E. (2014). Implicit Processing of Visual Emotions Is Affected by Sound-Induced Affective States and Individual Affective Traits. P L o S One, 9(7), [103278]. https://doi.org/10.1371/journal.pone.0103278

Brattico, E., Kliuchko, M., Tervaniemi, M. & Heinonen-Guzejev, M. (2015). Impaired auditory discrimination of sound quality in noise sensitive individuals. Abstract from Error Signals from the Brain, Leipzig, Germany.

Westphael, G., Gebauer, L., Mehlsen, M. Y., Winterdahl, M. & Zachariae, R. (2015). Impact of single dose intranasal oxytocin on recognition of core emotions and complex mental states in facial expressions: a systematic review and meta-analysis. Poster session presented at 10th Annual Psychiatry Research Day, Aarhus University Hospital, Denmark.

Steenstrup, K., Haumann, N. T., Kleber, B., Camarasa, C., Vuust, P. & Petersen, B. (2021). Imagine, Sing, Play- Combined Mental, Vocal and Physical Practice Improves Musical Performance. Frontiers in Psychology, 12, [757052]. https://doi.org/10.3389/fpsyg.2021.757052

Hallett, M., de Haan, W., Deco, G., Dengler, R., Di Iorio, R., Gallea, C., Gerloff, C., Grefkes, C., Helmich, R. C., Kringelbach, M. L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L. J., Wu, T. & Rossini, P. M. (2020). Human brain connectivity: Clinical applications for clinical neurophysiology. Clinical Neurophysiology, 131(7), 1621-1651. https://doi.org/10.1016/j.clinph.2020.03.031

Bettinardi, R. G., Deco, G., Karlaftis, V. M., Van Hartevelt, T. J., Fernandes, H. M., Kourtzi, Z., Kringelbach, M. L. & Zamora-López, G. (2017). How structure sculpts function: Unveiling the contribution of anatomical connectivity to the brain's spontaneous correlation structure. Chaos, 27(4), 047409. https://doi.org/10.1063/1.4980099

Williamson, V. J., Jilka, S. R., Fry, J., Finkel, S., Muellensiefen, D. & Stewart, L. (2012). How do "earworms" start? Classifying the everyday circumstances of Involuntary Musical Imagery. Psychology of Music, 40(3), 259-284. https://doi.org/10.1177/0305735611418553

Crisp, R. & Kringelbach, M. (2018). Higher and Lower Pleasures Revisited: Evidence from Neuroscience. Neuroethics, 11(2), 211-215. https://doi.org/10.1007/s12152-017-9339-2

Deco, G. & Kringelbach, M. L. (2017). Hierarchy of Information Processing in the Brain: A Novel 'Intrinsic Ignition' Framework. Neuron, 94(5), 961-968. https://doi.org/10.1016/j.neuron.2017.03.028

Signorelli, C. M., Uhrig, L., Kringelbach, M., Jarraya, B. & Deco, G. (2021). Hierarchical disruption in the cortex of anesthetized monkeys as a new signature of consciousness loss. NeuroImage, 227, [117618]. https://doi.org/10.1016/j.neuroimage.2020.117618

Bogert, B., Numminen-Kontti, T., Gold, B., Sams, M., Numminen, J., Burunat, I., Lampinen, J. & Brattico, E. (2016). Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions. Neuropsychologia, 89, 393-402. https://doi.org/10.1016/j.neuropsychologia.2016.07.005

Kaasgaard, M., Andersen, I. C., Vuust, P., Hilberg, O., Løkke, A. & Bodtger, U. (2019). Heterogeneity of Danish lung choirs and their singing leaders – a study of performance, experiences, and attitudes in an emerging field. Poster session presented at Dansk Lungemedicinsk Selskab Årsmøde/Kongres 2019, Odense, Denmark.

Kaasgaard, M., Andersen, I. C., Vuust, P., Hilberg, O., Løkke, A. & Bodtger, U. (2019). Heterogeneity of Danish lung choirs and their singing leaders – a study of performance, experiences, and attitudes in an emerging field. Poster session presented at European Respiratory Society (ERS) International Congress 2019, Madrid, Spain.

Kaasgaard, M., Andersen, I. C., Rasmussen, D. B., Hilberg, O., Løkke, A., Vuust, P. & Bodtger, U. (2020). Heterogeneity in Danish lung choirs and their singing leaders: delivery, approach, and experiences: a survey-based study. BMJ Open, 10(11), [e041700]. https://doi.org/10.1136/bmjopen-2020-041700

Atasoy, S., Deco, G. & Kringelbach, M. L. (2020). Harmonic waves as the fundamental principle underlying temporo-spatial dynamics of brain and mind: Comment on “Is temporo-spatial dynamics the “common currency” of brain and mind? In Quest of “Spatiotemporal Neuroscience” ” Georg Northoff et al. Physics of Life Reviews, 33, 67-69. https://doi.org/10.1016/j.plrev.2019.10.001

Atasoy, S., Deco, G., Kringelbach, M. L. & Pearson, J. (2018). Harmonic Brain Modes: A Unifying Framework for Linking Space and Time in Brain Dynamics. Neuroscientist, 24(3), 277–293. https://doi.org/10.1177/1073858417728032

Magalhães, R., Picó-Pérez, M., Esteves, M., Vieira, R., Castanho, T. C., Amorim, L., Sousa, M., Coelho, A., Fernandes, H. M., Cabral, J., Moreira, P. S. & Sousa, N. (2021). Habitual coffee drinkers display a distinct pattern of brain functional connectivity. Molecular Psychiatry, 26(11), 6589-6598. https://doi.org/10.1038/s41380-021-01075-4

Weinstein, D., Launay, J., Pearce, E., Dunbar, R. I. M. & Stewart, L. (2016). Group music performance causes elevated pain thresholds and social bonding in small and large groups of singers. Evolution and Human Behavior, 37(2), 152-158. https://doi.org/10.1016/j.evolhumbehav.2015.10.002

Vuust, P. (2018). Groove on the Brain. In M. E. P. Davies, M. Aramaki, R. Kronland-Martinet & S. Ystad (Eds.), Music Technology with Swing - 13th International Symposium, CMMR 2017, Revised Selected Papers (pp. 101-110). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11265 LNCS https://doi.org/10.1007/978-3-030-01692-0_7

Dohn, A., Garza-Villarreal, E. A., Chakravarty, M., Hansen, M., Lerch, J. & Vuust, P. (2015). Gray- and White-Matter Anatomy of Absolute Pitch Possessors. Cerebral Cortex, 25(5), 1379-1388. https://doi.org/10.1093/cercor/bht334

Pando-Naude, V., Toxto, S., Fernandez-Lozano, S., Parsons, C. E., Alcauter, S. & Garza-Villarreal, E. A. (2021). Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis. Translational Psychiatry, 11(1), [29]. https://doi.org/10.1038/s41398-020-01128-2

Banissy, M. J., Stewart, L., Muggleton, N. G., Griffiths, T. D., Walsh, V. Y., Ward, J. & Kanai, R. (2012). Grapheme-color and tone-color synesthesia is associated with structural brain changes in visual regions implicated in color, form, and motion. Cognitive Neuroscience, 3(1), 29-35. https://doi.org/10.1080/17588928.2011.594499

Aqil, M., Atasoy, S., Kringelbach, M. L. & Hindriks, R. (2021). Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome. PLOS Computational Biology, 17(1), [e1008310]. https://doi.org/10.1371/JOURNAL.PCBI.1008310

Brattico, P., Brattico, E. & Vuust, P. (2017). Global Sensory Qualities and Aesthetic Experience in Music. Frontiers in Neuroscience, 11, 1-13. [159]. https://doi.org/10.3389/fnins.2017.00159

Vohryzek, J., Deco, G., Cessac, B., Kringelbach, M. L. & Cabral, J. (2020). Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States. Frontiers in Systems Neuroscience, 14, [20]. https://doi.org/10.3389/fnsys.2020.00020

Wang, Q. J., Barbosa Escobar, F., Alves da Mota, P. & Velasco, C. (2021). Getting Started with Virtual Reality for Sensory and Consumer Science: Current practices and future perspectives. Food Research International, 145, [110410]. https://doi.org/10.1016/j.foodres.2021.110410

Costa, M. & Bonetti, L. (2016). Geometrical factors in the perception of sacredness. Perception, 1240.

Costa, M. & Bonetti, L. (2018). Geometrical distortions in large-scale cognitive geographical maps. Journal of Environmental Psychology, 55, 53-69. https://doi.org/10.1016/j.jenvp.2017.12.004

Tsatsishvili, V., Cong, F., Ristaniemi, T., Toiviainen, P., Alluri, V., Brattico, E. & Nandi, A. (2014). Generation of stimulus features for analysis of FMRI during natural auditory experiences. In European Signal Processing Conference (pp. 2490-2494). [6952938] European Signal Processing Conference, EUSIPCO.

Sørensen, S. D., Petersen, B., Brattico, E., Ovesen, T. & Vuust, P. (2016). Gamified Musical Ear Training for Cochlear Implant Users.

Burunat, I. & Brattico, E. (2017). Functional magnetic resonance imaging. In D. Worthington & G. D. Bodie (Eds.), The Sourcebook of Listening Research: Methodology and Measures (pp. 290-298). Wiley.

Glomb, K., Kringelbach, M. L., Deco, G., Hagmann, P., Pearson, J. & Atasoy, S. (2021). Functional harmonics reveal multi-dimensional basis functions underlying cortical organization. Cell Reports, 36(8), [109554]. https://doi.org/10.1016/j.celrep.2021.109554

Pando-Naude, V., Barrios, F. A., Alcauter, S., Pasaye, E. H., Vase, L., Brattico, E., Vuust, P. & Garza-Villarreal, E. A. (2019). Functional connectivity of music-induced analgesia in fibromyalgia. Scientific Reports, 9, [15486]. https://doi.org/10.1038/s41598-019-51990-4

Lumaca, M., Kleber, B., Brattico, E., Vuust, P. & Baggio, G. (2019). Functional connectivity in human auditory networks and the origins of variation in the transmission of musical systems. eLife, 8, [e48710]. https://doi.org/10.7554/eLife.48710

Cabral, J., Kringelbach, M. L. & Deco, G. (2017). Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms. NeuroImage, 160, 84-96. https://doi.org/10.1016/j.neuroimage.2017.03.045

Lumaca, M. (2021). Functional and structural connectivity in human auditory networks and the origins of variation in the transmission of musical systems. Poster session presented at Neuromusic VII: Connecting with music across lifespan.

James, A., Fernandes, H., Alves da Mota, P. & Hough, M. (2017). Frontostriatal dysconnectivity in adolescent onset schizophrenia and its associations with cognition: An MRI volumetric and diffusion tensor imaging study. European Psychiatry, 41, S59.

Tervaniemi, M. & Brattico, E. (2004). From sounds to music - Towards understanding the neurocognition of musical sound perception. Journal of Consciousness Studies, 11(3-4), 9-27.

Lumaca, M., Haumann, N. T., Vuust, P., Brattico, E. & Baggio, G. (2018). From random to regular: Neural constraints on the emergence of isochronous rhythm during cultural transmission. Social Cognitive and Affective Neuroscience, 13(8), 877-888. https://doi.org/10.1093/scan/nsy054

Brattico, E. (2015). From pleasure to liking and back: Bottom-up and top-down neural routes to the aesthetic enjoyment of music. In J. P. Huston, M. Nadal, F. Mora, L. F. Agnati & C. J. Cela-Conde (Eds.), Art, Aesthetics and the Brain (pp. 303-318). Oxford University Press.

Zioga, I., Harrison, P. M. C., Pearce, M. T., Bhattacharya, J. & Di Bernardi Luft, C. (2020). From learning to creativity: Identifying the behavioural and neural correlates of learning to predict human judgements of musical creativity. NeuroImage, 206, [116311]. https://doi.org/10.1016/j.neuroimage.2019.116311

Cabral, J., Jirsa, V., Popovych, O. V., Torcini, A. & Yanchuk, S. (2022). From Structure to Function in Neuronal Networks: Effects of Adaptation, Time-Delays, and Noise. Frontiers in Systems Neuroscience, 16, [871165]. https://doi.org/10.3389/fnsys.2022.871165

Displaying results 351 to 400 out of 607

Revised 26.03.2021 -

Hella Kastbjerg