Zeitschriftenartikel (62)

21.
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Akkermans, J.; Schapiro, R.; Mullensiefen, D.; Jakubowski, K.; Shanahan, D.; Baker, D.; Busch, V.; Lothwesen, K.; Elvers, P.; Fischinger, T. et al.; Schlemmer, K.; Frieler, K.: Decoding emotions in expressive music performances: A multi-lab replication and extension study. Cognition & Emotion 33 (6), S. 1099 - 1118 (2019)
22.
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Mikkelsen, M. B.; O’Toole, M. S.; Lyby, M. S.; Wallot, S.; Mehlsen, M.: Emotional reactivity and interoceptive sensitivity: Exploring the role of age. Psychonomic Bulletin & Review 26, S. 1440 - 1448 (2019)
23.
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Gehrig, J.; Michalareas, G.; Forster, M.-T.; Lei, J.; Hok, P.; Laufs, H.; Senft, C.; Seifert, V.; Schoffelen, J.-M.; Hanslmayr, S. et al.; Kell, C. A.: Low-frequency oscillations code speech during verbal working memory. The Journal of Neuroscience 39 (33), S. 6498 - 6512 (2019)
24.
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Brittan, F.; Raz, C.: Introduction to: Colloquy. Attention, anxiety, and audition's histories. Journal of the American Musicological Society 72 (2), S. 541 - 546 (2019)
25.
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Raz, C.: Colloquy: Talking to the hand: The “Hysterical Epistemology” of the migrating sensorium. Journal of the American Musicological Society 72 (2), S. 552 - 557 (2019)
26.
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Lei, J.; Conradi, N.; Abel, C.; Frisch, S.; Brodski-Guerniero, A.; Hildner, M.; Kell, C. A.; Kaiser, J.; Schmidt-Kassow, M.: Cognitive effects of rhythmic auditory stimulation in Parkinson’s disease: A P300 study. Brain Research 1716, S. 70 - 79 (2019)
27.
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Lyby, M. S.; Mehlsen, M.; Jensen, A. B.; Bovbjerg, D. H.; Philipsen, J. S.; Wallot, S.: Use of recurrence quantification analysis to examine associations between changes in text structure across an expressive writing intervention and reductions in distress symptoms in women wth breast cancer. Frontiers in Applied Mathematics and Statistics 5, 37 (2019)
28.
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Assaneo, M. F.; Rimmele, J. M.; Orpella, J.; Ripollés, P.; de Diego-Balaguer, R.; Poeppel, D.: The lateralization of speech-brain coupling is differentially modulated by intrinsic auditory and top-down mechanisms. Frontiers in Integrative Neuroscience 13, 28 (2019)
29.
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Hoshi, H.; Kwon, N.; Akita, K.; Auracher, J.: Semantic associations dominate over perceptual associations in vowel–size iconicity. i-Perception 10 (4) (2019)
30.
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Forster, F.; Weinmann, T.; Gerlich, J.; Schlotz, W.; Weinmayr, G.; Genuneit, J.; Windstetter, D.; Vogelberg, C.; von Mutius, E.; Nowak, D. et al.; Radon, K.: Work-related stress and incident asthma and rhinitis: Results from the SOLAR study. International Archives of Occupational and Environmental Health 92 (5), S. 673 - 681 (2019)
31.
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Rimmele, J. M.; Gudi-Mindermann, H.; Nolte, G.; Roeder, B.; Engel, K. A.: Working memory training integrates visual cortex into beta-band networks in congenitally bind individuals. NeuroImage 194, S. 259 - 271 (2019)
32.
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Schlotz, W.: Investigating associations between momentary stress and cortisol in daily life: What have we learned so far? Psychoneuroendocrinology 105, S. 105 - 116 (2019)
33.
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Wald-Fuhrmann, M.: Komplement und Korrektiv: Empirie als Teil einer transdisziplinären Musikästhetik. Musik & Ästhetik 23 (91), S. 84 - 88 (2019)
34.
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Menninghaus, W.; Wagner, V.; Kegel, V.; Knoop, C. A.; Schlotz, W.: Beauty, elegance, grace, and sexiness compared. PLoS One 14 (6), e0218728 (2019)
35.
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Lewis, G. A.; Poeppel, D.; Murphy, G. L.: Contrasting semantic versus inhibitory processing in the angular gyrus: An fMRI study. Cerebral Cortex 29 (6), S. 2470 - 2481 (2019)
36.
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Kraxenberger, M.: Zum Stil einer digital geprägten Leserealität: Eine Untersuchung der Fifty Shades of Grey-Trilogie mittels Dargestelltem und Darstellung. Orbis Litterarum. Special Issue: Style 74 (3), S. 205 - 218 (2019)
37.
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Omigie, D.; Pearce, M.; Lehongre, K.; Hasboun, D.; Navarro, V.; Adam, C.; Samson, S.: Intracranial recordings and computational modeling of music reveal the time course of prediction error signaling in frontal and temporal cortices. Journal of Cognitive Neuroscience 31 (6), S. 855 - 873 (2019)
38.
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Tavano, A.; Poeppel, D.: A division of labor between power and phase coherence in encoding attention to stimulus streams. NeuroImage 193, S. 146 - 156 (2019)
39.
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Vroegh, T. P.: Zoning-in or tuning-in? Identifying distinct absorption states in response to music. Psychomusicology: Music, Mind, and Brain 29 (2-3), S. 156 - 170 (2019)
40.
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Doelling, K. B.; Assaneo, M. F.; Bevilacqua, D.; Pesaran, B.; Poeppel, D.: An oscillator model better predicts cortical entrainment to music. Proceedings of the National Academy of Sciences of the United States of America 116 (20), S. 10113 - 10121 (2019)
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