Publications of Burkhard Maess

Herrmann, B., Maess, B., & Johnsrude, I. S. (2018). Aging affects adaptation to sound-level statistics in human auditory cortex. The Journal of Neuroscience, 38, 1989–1999.

von Lautz, A. H., Herding, J., Ludwig, S., Nierhaus, T., Maess, B., Villringer, A., & Blankenburg, F. (2017). Gamma and beta oscillations in human MEG encode the contents of vibrotactile working memory. Frontiers in Human Neuroscience, 11. doi:10.3389/fnhum.2017.00576

Herrojo Ruiz, M., Maess, B., Altenmüller, E., Curio, G., & Nikulin, V. V. (2017). Cingulate and cerebellar beta oscillations are engaged in the acquisition of auditory-motor sequences. Human Brain Mapping, 38, 5161–5179.

Maess, B., Mamashli, F., Obleser, J., Helle, L., & Friederici, A. D. (2016). Prediction signatures in the brain: Semantic pre-activation during language comprehension. Frontiers in Human Neuroscience, 10. doi:10.3389/fnhum.2016.00591

Maess, B., Schröger, E., & Widmann, A. (2016). High-pass filters and baseline correction in M/EEG analysis. Commentary on: “How inappropriate high-pass filters can produce artefacts and incorrect conclusions in ERP studies of language and cognition.” Journal of Neuroscience Methods, 266, 164–165.

Maess, B., Schröger, E., & Widmann, A. (2016). High-pass filters and baseline correction in M/EEG analysis-continued discussion. Journal of Neuroscience Methods, 266, 171–172.

Wöstmann, M., Herrmann, B., Maess, B., & Obleser, J. (2016). Spatiotemporal dynamics of auditory attention synchronize with speech. Proceedings of the National Academy of Sciences of the United States of America, 113, 3873–3878.

Widmann, A., Schröger, E., & Maess, B. (2015). Digital filter design for electrophysiological data: A practical approach. Journal of Neuroscience Methods, 250, 34–46.

Wilsch, A., Henry, M., Herrmann, B., Maess, B., & Obleser, J. (2015). Alpha oscillatory dynamics index temporal expectation benefits in working memory. Cerebral Cortex, 25, 1938–1946.

Wilsch, A., Henry, M., Herrmann, B., Maess, B., & Obleser, J. (2015). Slow-delta phase concentration marks improved temporal expectations based on the passage of time. Psychophysiology, 52, 910–918.

Ono, K., Nakamura, A., & Maess, B. (2015). Keeping an eye on the conductor: Neural correlates of visuo-motor synchronization and musical experience. Frontiers in Human Neuroscience, 9. doi:10.3389/fnhum.2015.00154

Schall, S., Kiebel, S. J., Maess, B., & von Kriegstein, K. (2015). Voice identity recognition: Functional division of the right STS and its behavioral relevance. Journal of Cognitive Neuroscience, 27, 280–291.

Pieloth, C., Knösche, T. R., Maess, B., & Fuchs, M. (2014). Online distributed source localization from EEG/MEG data. International Journal of Computing, 13, 17–24.

Nakamura, A., Maess, B., Knösche, T. R., & Friederici, A. D. (2014). Different hemispheric roles in recognition of happy expressions. PLoS One, 9. doi:10.1371/journal.pone.0088628

Ruhnau, P., Herrmann, B., Maess, B., Brauer, J., Friederici, A. D., & Schröger, E. (2013). Processing of complex distracting sounds in school-aged children and adults: Evidence from EEG and MEG data. Frontiers in Psychology, 4. doi:10.3389/fpsyg.2013.00717

Schall, S., Kiebel, S., Maess, B., & von Kriegstein, K. (2013). Early auditory sensory processing of voices is facilitated by visual mechanisms. NeuroImage, 77, 237–245.

Keitel, C., Maess, B., Schröger, E., & Müller, M. M. (2013). Early visual and auditory processing rely on modality-specific attentional resources. NeuroImage, 70, 240–249.

Gross, J., Baillet, S., Barnes, G. R., Henson, R. N., Hillebrand, A., Jensen, O., … Schoffelen, J.-M. (2013). Good practice for conducting and reporting MEG research. NeuroImage, 65, 349–363.

Obleser, J., Wöstmann, M., Hellbernd, N., Wilsch, A., & Maess, B. (2012). Adverse listening conditions and memory load drive a common alpha oscillatory network. The Journal of Neuroscience, 32, 12376–12383.

Horváth, J., Maess, B., Baess, P., & Tóth, A. (2012). Action–sound coincidences suppress evoked responses of the human auditory cortex in EEG and MEG. Journal of Cognitive Neuroscience, 24, 1919–1931.