Creator: SanMiguel, Iria; Widman, Andreas; Bendixen, Alexandra; Trujillo-Barreto, Nelson; Schröger, Erich
Contributor: SanMiguel, Iria; Widman, Andreas; Bendixen, Alexandra; Trujillo-Barreto, Nelson; Schröger, Erich
Funding: German Research Foundation: Reinhart-Koselleck Projekt SCHR 375/20 “Predictive Modelling in Audition”
Title: Human Auditory Processing Relies on Preactivation of Sound-Specific Brain Activity Patterns. Research data from an EEG study.
Year of Publication: 2014
Citation: SanMiguel, I., Widmann, A., Bendixen, A., Trujillo-Barreto, N., & Schröger, E. (2014). Human Auditory Processing Relies on Preactivation of Sound-Specific Brain Activity Patterns. Research data from an EEG study. [Translated Title] (Version 1.0.0) [Data and Documentation]. Trier: Center for Research Data in Psychology: PsychData of the Leibniz Institute for Psychology ZPID. https://doi.org/10.5160/psychdata.slia09hu07
The remarkable capabilities displayed by humans in making sense of an overwhelming amount of sensory information cannot be explained easily if perception is viewed as a passive process. Current theoretical and computational models assume that to achieve meaningful and coherent perception, the human brain must anticipate upcoming stimulation. But how are upcoming stimuli predicted in the brain? We unmasked the neural representation of a prediction by omitting the predicted sensory input. Electrophysiological brain signals showed that when a clear prediction can be formulated, the brain activates a template of its response to the predicted stimulus before it arrives to our senses.
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Research Design: Experimental design, Laboratory Experiment; single measurements
We measured event-related potentials elicited by sounds and omissions of
those sounds. In different conditions, the sounds were either self-generated by
the participant pressing a button or were externally generated during passive
listening. In different conditions, omissions of the sounds were either frequent
(50%) or rare (12%). We analyzed the ERPs in the time-window on the
auditory N1, and performed inverse source localization for this time window
using VARETA (variable resolution electromagnetic tomography; Bosch-
Bayard et al. 2001). For more information see SanMiguel et al. (2013).
Data Collection Method:
Data collection in the presence of an experimenter
– Individual Administration
– Specialized Apparatuses or Measuring Instruments: EEG recordings
Population: Healthy young adults (normal or corrected-to-normal vision, no hearing impairment, no history of psychiatric or neurological disease)
Survey Time Period:
Sample: Convenience sample
57,9 % female subjects (n=11)
42,1 % male subjects (n=8)
Age Distribution: 20-30 years
Spatial Coverage (Country/Region/City): Germany/-/Leipzig
Subject Recruitment: Internal volunteer database oft the research unit Biocog, University of Leipzig.
Participants either received course credits or were reimbursed for their participation.
Sample Size: 19 individuals
Return/DropOut: Data collection for participant 19 was interrupted during the experiment due to
low signal quality. Data from the subjects 2 and 6 were excluded due to excessive alpha waves.