Human Auditory Processing Relies on Preactivation of Sound-Specific Brain Activity Patterns. Research data from an EEG study.

Cognitive Psychology

Authors(s) / Creator(s)





Abstract

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.

Persistent Identifier

https://doi.org/10.5160/psychdata.slia09hu07

Year of Publication

Funding

German Research Foundation: Reinhart-Koselleck Projekt SCHR 375/20 “Predictive Modelling in Audition”

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. (Version 1.0.0) [Data and Documentation]. Trier: Research Data Center at ZPID. https://doi.org/10.5160/psychdata.slia09hu07
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Study Description

Research Questions/Hypotheses:

Research Design:

Experimental design, Laboratory Experiment; single measurements

Measurement Instruments/Apparatus:

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

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

Gender Distribution:

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/Drop Out:

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.

slia09hu07_readme.txt
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Description: Description of the files

slia09hu07_fd1.txt
Text file - 338 KB
MD5: 9dffb0435a324337d62fc40b722affe2
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Description: Research data file (transfers of the EEG recordings into a data matrix) of the study

slia09hu07_fd2.txt
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Description: Research data file (Information on the study subjects)

slia09hu07_kb1.txt
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Description: English codebook for the research data file slia09hu07_fd1.txt

slia09hu07_kb2.txt
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Description: English codebook for the research data file slia09hu07_fd2.txt

eeg.zip
ZIP file - 3.631.014 KB
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Description: EEG recordings: 19 folders (corresponding to 19 subjects). Each folder contains 6 Brain Vision files with the EEG recordings. The folder vp05 contains 9 Brain Vision files

slia09hu07_fileDescription.txt
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Description: Description of the folder and file contents of eeg.zip

slia09hu07_codebook.txt
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Description: Description of the experimental blocks and trigger signals