- Neural oscillations and neural entrainment
- Rhythm and time perception
- Auditory perception / psychophysics
- Music perception
|2011||PhD, Experimental psychology, Bowling Green State University (USA)|
|2007||MA, Experimental psychology, Bowling Green State University (USA)|
|2004||BS, Psychology, Wright State University (USA)|
summa cum laude
|01/2019–||Max Planck Group Leader, Max Planck Research Group “Neural and Environmental Rhythms” Max Planck Institute for Empirical Aesthetics Frankfurt am Main, Germany|
|2018||Postdoctoral associate, Brain and Mind Institute, Department of Psychology, University of Western Ontario London, Ontario, Canada|
|2015–2017||Postdoctoral fellow, Brain and Mind Institute, Department of Psychology, University of Western Ontario London, Ontario, Canada|
|2011–2014||Postdoctoral researcher, Max Planck Research Group “Auditory Cognition”, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany|
Henry, M. J., Herrmann, B., & Kunke, D., & Obleser, J. (2017). Aging affects the balance of neural entrainment and top-down neural modulation in the listening brain. Nature Communications.
Henry, M. J., Herrmann, B., & Grahn, J. A. (2017). What can we learn about beat perception by comparing brain signals and stimulus envelopes? PLOS One, 12, e0172454.
Obleser, J., Henry, M. J., & Lakatos, P. (2017). What do we talk about when we talk about rhythm? PLOS Biology, 15, e1002615.
Henry, M. J., Herrmann, B., & Obleser, J. (2016). Neural microstates govern perception of auditory input with rhythmic structure. The Journal of Neuroscience, 36, 860–871.
Herrmann, B., Henry, M. J., Johnsrude, I. S., & Obleser, J. (2016). Altered temporal dynamics of neural adaptation in the aging human auditory cortex. Neurobiology of Aging, 45, 10–22.
Henry, M. J., Herrmann, B., & Obleser, J. (2015). Selective attention to temporal features on nested time scales. Cerebral Cortex, 25, 450–459.
Herrmann, B., Henry, M. J., Fromboluti, E. K., McAuley, J. D., & Obleser, J. (2015). Statistical context shapes stimulus-specific adaptation in human auditory cortex. Journal of Neurophysiology, 113, 2582–2591.
Henry, M. J., Herrmann, B., & Obleser, J. (2014). Entrained neural oscillations in multiple frequency bands comodulate behavior. Proceedings of the National Academy of Sciences, USA, 111, 14935–14940.
Henry, M. J. & Herrmann, B. (2014). Low-frequency neural oscillations support dynamic attending in temporal context. Timing and Time Perception, 2, 62–86.
Henry, M. J. & Obleser, J. (2013). Dissociable neural response signatures for slow amplitude and frequency modulation in human auditory cortex. PLOS One, 8, e78758.
Henry, M. J. & McAuley, J. D. (2013). Perceptual distortions in pitch and time reveal active prediction and support for an auditory pitch-motion hypothesis. PLOS One, 8, e70646.
Henry, M. J. & McAuley, J. D. (2013). Failure to apply signal detection theory to the Montreal Battery of Evaluation of Amusia may misdiagnose amusia. Music Perception, 30, 480–496.
Herrmann, B., Henry, M. J., Grigutsch, M., & Obleser, J. (2013). Oscillatory phase precision in neural entrainment underpins illusory percepts of time. The Journal of Neuroscience, 33, 15799-15809.
Herrmann, B., Henry, M. J., Scharinger, M., & Obleser, J. (2013). Auditory filter width affects response magnitude but not frequency specificity in auditory cortex. Hearing Research, 304, 128–136.
Erb, J., Henry, M. J., Eisner, F., & Obleser, J. (2013). The brain dynamics of rapid perceptual adaptation to adverse listening conditions. The Journal of Neuroscience, 33, 10688–10697.
Henry, M. J. & Obleser, J. (2012). Frequency modulation entrains slow neural oscillations and optimizes human listening behavior. Proceedings of the National Academy of Sciences USA, 109, 20095–20100.
Grahn, J. A., Henry, M. J., & McAuley, J. D. (2011). FMRI investigation of cross-modal interactions in rhythm perception: Audition primes vision, but not vice versa. NeuroImage, 54, 1231-1243.
Henry, M. J. & McAuley, J. D. (2010). On the prevalence of congenital amusia. Music Perception, 27, 413-418.
Henry, M. J. & McAuley, J. D. (2009). Evaluation of an imputed pitch velocity model of the auditory kappa effect. Journal of Experimental Psychology: Human Perception and Performance, 35, 551-564.
Henry, M. J., McAuley, J. D., & Zaleha, M. F. (2009). Evaluation of an imputed pitch velocity model of the auditory tau effect. Attention, Perception, & Psychophysics, 71, 1399-1413.
|2019–2024||Brain–environment synchronization and the auditory perception problem European Research Council Starting Grant Investigator: Henry (PI)|
|2016||The causal role of neuronal oscillations in beat perception as revealed by noninvasive brain stimulation University of Western Ontario, New International Research Networks Investigators: Grahn (co-PI), Herrmann (co-PI), Henry (co-I)|
|2016||Neural dynamics of establishing a stable beat percept Donders Institute – Brain and Mind Institute (DI–BMI) Trainee Exchange grant Investigators: Henry (trainee), Grahn (BMI), de Lange (DI), Praamstra (DI)|
|2015||The role of social context in intersubject synchronization between audience members during musical performance LIVELab seed grant Investigators: Henry (PI), Cameron (co-PI), Grahn (co-I)|
Honors, Awards, and Fellowships
|2017||International Conference on Auditory Cortex (ICAC) Travel Award International Conference on Auditory Cortex (ICAC)|
|2016||2016 APS Rising Star Award Association for Psychological Science|
|2016||Advances and Perspectives in Auditory Neuroscience (APAN) Travel Award Advances and Perspectives in Auditory Neuroscience (APAN)|
|2015||Western Cognitive Neuroscience Postdoctoral Fellowship University of Western Ontario|
|2009–2010||University Dissertation Fellowship Bowling Green State University|
|2008||ICMPC10 Young Researcher Award, Honorable Mention International Conference for Music Perception and Cognition|
|2008||Society for Education, Music and Psychology Research (SEMPRE) Travel Award International Conference for Music Perception and Cognition|
- Creating and validating a tunable test of cocktail-party listening
One of the primary long-term goals of the research group is to understand behavioural and neural factors that predict cocktail-party listening success on an individual-by-individual basis. The goal of this research project is to develop and ...
- Test–retest reliability of neural entrainment of the human auditory system
Brain rhythms synchronize with the rhythms in sounds with a phase lag that is consistent across trials within an experiment, but not necessarily consistent across people. Individual differences in this phase lag of neural entrainment have ...