The role of brain oscillations in predicting self-generated sounds

Arnal, 2012, Cortical oscillations and sensory predictions, Trends Cogn. Sci., 16, 390, 10.1016/j.tics.2012.05.003 Arnal, 2011, Transitions in neural oscillations reflect prediction errors generated in audiovisual speech, Nat. Neurosci., 14, 797, 10.1038/nn.2810 Baess, 2011, Selective suppression of self-initiated sounds in an auditory stream: an ERP study, Psychophysiology, 48, 1276, 10.1111/j.1469-8986.2011.01196.x Bastos, 2015, Visual areas exert feedforward and feedback influences through distinct frequency channels, Neuron, 85, 390, 10.1016/j.neuron.2014.12.018 Bauer, 2014, Attentional modulation of alpha/beta and gamma oscillations reflect functionally distinct processes, J. Neurosci., 34, 16117, 10.1523/JNEUROSCI.3474-13.2014 Behroozmand, 2016, Neural correlates of vocal production and motor control in human Heschl's Gyrus, J Neurosci., 36, 2302, 10.1523/JNEUROSCI.3305-14.2016 Berens, 2009, CircStat: a MATLAB toolbox for circular statistics, J. Stat. Softw., 31, 1, 10.18637/jss.v031.i10 Besl, 1992, A method for registration of 3-D shapes, IEEE Trans. Pattern Anal. Mach. Intell., 14, 239, 10.1109/34.121791 Blakemore, 1999, Spatio-temporal prediction modulates the perception of self-produced stimuli, J. Cogn. Neurosci., 11, 551, 10.1162/089892999563607 Blakemore, 1998, Central cancellation of self-produced tickle sensation, Nat. Neurosci., 1, 635, 10.1038/2870 Brown, 2013, Active inference, sensory attenuation and illusions, Cogn. Process., 14, 411, 10.1007/s10339-013-0571-3 Busch, 2009, The phase of ongoing EEG oscillations predicts visual perception, J. Neurosci., 29, 7869, 10.1523/JNEUROSCI.0113-09.2009 Flinker, 2010, Single-trial speech suppression of auditory cortex activity in humans, J. Neurosci., 30, 16643, 10.1523/JNEUROSCI.1809-10.2010 Fontolan, 2014, The contribution of frequency-specific activity to hierarchical information processing in the human auditory cortex, Nat. Commun., 5, 4694, 10.1038/ncomms5694 Frey, 2014, Selective modulation of auditory cortical alpha activity in an audiovisual spatial attention task, J. Neurosci., 34, 6634, 10.1523/JNEUROSCI.4813-13.2014 Friston, 2005, A theory of cortical responses, Philos. Trans. R Soc. Lond. B: Biol. Sci., 360, 815, 10.1098/rstb.2005.1622 Friston, 2015, LFP and oscillations-what do they tell us?, Curr. Opin. Neurobiol., 31, 1, 10.1016/j.conb.2014.05.004 Gross, 2013, Good practice for conducting and reporting MEG research, Neuroimage, 65, 349, 10.1016/j.neuroimage.2012.10.001 Gross, 2007, Gamma oscillations in human primary somatosensory cortex reflect pain perception, PLoS Biol., 5, e133, 10.1371/journal.pbio.0050133 Iversen, 2009, Top-down control of rhythm perception modulates early auditory responses, Ann. NY Acad. Sci., 1169, 58, 10.1111/j.1749-6632.2009.04579.x Jensen, 2010, Shaping functional architecture by oscillatory alpha activity: gating by inhibition, Front. Human. Neurosci., 4, 10.3389/fnhum.2010.00186 Lakatos, 2007, Neuronal oscillations and multisensory interaction in primary auditory cortex, Neuron, 53, 279, 10.1016/j.neuron.2006.12.011 Maris, 2007, Nonparametric statistical testing of EEG-and MEG-data, J. Neurosci. Methods, 164, 177, 10.1016/j.jneumeth.2007.03.024 Martikainen, 2005, Suppressed responses to self-triggered sounds in the human auditory cortex, Cereb. Cortex, 15, 299, 10.1093/cercor/bhh131 Mathewson, 2009, To see or not to see: prestimulus α phase predicts visual awareness, J. Neurosci., 29, 2725, 10.1523/JNEUROSCI.3963-08.2009 Michalareas, 2016, Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas, Neuron, 10.1016/j.neuron.2015.12.018 Müller, 2014, Listen to yourself: the medial prefrontal cortex modulates auditory alpha power during speech preparation, Cereb. Cortex Nolte, 2003, The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors, Phys. Med. Biol., 48, 3637, 10.1088/0031-9155/48/22/002 Oostenveld, 2011, FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data, Comput. Intell. Neurosci., 2011, 10.1155/2011/156869 Pernet, 2012, Robust correlation analyses: false positive and power validation using a new open source matlab toolbox, Front. Psychol., 3, 606 Ploner, 2006, Oscillatory activity reflects the excitability of the human somatosensory system, Neuroimage, 32, 1231, 10.1016/j.neuroimage.2006.06.004 Ramnani, 2006, The primate cortico-cerebellar system: anatomy and function, Nat. Rev. Neurosci., 7, 511, 10.1038/nrn1953 Romei, 2008, Spontaneous fluctuations in posterior alpha-band EEG activity reflect variability in excitability of human visual areas, Cereb. Cortex, 18, 2010, 10.1093/cercor/bhm229 Schafer, 1973, Self-stimulation alters human sensory brain responses, Science, 181 Stenner, 2014, Enhanced alpha-oscillations in visual cortex during anticipation of self-generated visual stimulation, J. Cogn. Neurosci., 26, 2540, 10.1162/jocn_a_00658 Thut, 2012, The functional importance of rhythmic activity in the brain, Curr. Biol., 22, R658, 10.1016/j.cub.2012.06.061 Thut, 2006, Alpha-band electroencephalographic activity over occipital cortex indexes visuospatial attention bias and predicts visual target detection, J. Neurosci., 26, 9494, 10.1523/JNEUROSCI.0875-06.2006 Van Dijk, 2008, Prestimulus oscillatory activity in the alpha band predicts visual discrimination ability, J. Neurosci., 28, 1816, 10.1523/JNEUROSCI.1853-07.2008 van Kerkoerle, 2014, Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex, Proc. Natl. Acad. Sci. USA, 111, 14332, 10.1073/pnas.1402773111 von Holst, 1950, Das reafferenzprinzip, Naturwissenschaften, 37, 464, 10.1007/BF00622503 Wang, 2010, Neurophysiological and computational principles of cortical rhythms in cognition, Physiol. Rev., 90, 1195, 10.1152/physrev.00035.2008 Weisz, 2011, Alpha rhythms in audition: cognitive and clinical perspectives, Front. Psychol., 2, 73, 10.3389/fpsyg.2011.00073 Wolpert, 2000, Computational principles of movement neuroscience, Nat. Neurosci., 3, 1212, 10.1038/81497