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

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SanMiguel, Iria
Widmann, Andreas
Bendixen, Alexandra
Trujillo-Barreto, Nelson
Schröger, Erich


Dataset Information

Title Human Auditory Processing Relies on Preactivation of Sound-Specific Brain Activity Patterns. Research data from an EEG study.
Original Title Menschliche auditive Verarbeitung beruht auf der Präaktivierung geräuschspezifischer Aktivierungsmuster im Gehirn. Forschungsdaten einer EEG-Studie.
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 Information ZPID.
Language of variable documentation English
Responsible for Data Collection SanMiguel, Iria; Widman, Andreas; Bendixen, Alexandra; Trujillo-Barreto, Nelson; Schröger, Erich
Data Collection Completion Date 2009
Dataset Publication 2014
Dataset ID slia09hu07
Study Description 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.
Hypotheses -
Keyphrase registration of neural representations of predicted stimuli using event-related potentials elicited by sounds and omissions of sounds, 20 persons aged 20-30, primary data
Funding German Research Foundation: Reinhart-Koselleck Projekt SCHR 375/20 "Predictive Modelling in Audition"
Rating -


PSYNDEX Classification and Controlled Terms

Classification Auditory & Speech Perception
Physiological Psychology & Neuroscience
Controlled Terms Auditory Perception
Auditory Evoked Potentials
Cognitive Processes
Data Collection


Research Method Description

Research Method Description Experiment Data
Classification of Data Collection Experimental design, Laboratory Experiment
Research Instrument 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
- Computer-Supported
- Specialized Apparatuses or Measuring Instruments: EEG recordings
Time Points single measurement
Survey Time Period -
Characteristics -
Population Healthy young adults (normal or corrected-to-normal vision, no hearing impairment, no history of psychiatric or neurological disease)
Experimental Pool Individuals
Sample Convenience sample
Subject Recruitment Internal volunteer database oft the research unit Biocog, University of Leipzig.
Participants either received course credits or were reimbursed for their
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.
Gender Distribution 57,9 % female subjects (n=11)
42,1 % male subjects (n=8)
Age Distribution 20-30 years
Special Groups -
Country Germany
Region -
City Leipzig
Variables Subject ID
EEG recordings
Information concerning the experiment (date, time (of day), additional observations)
subject description (gender, age, handedness, visual correction, auditory threshold)
counter balancing of the different conditions


Data Status

Data Status Complete Data Set
Original Records Individual electroencephalographic recordings (EEG) using a computerized survey method (subject-related data files). For a detailed description see SanMiguel et al. (2013, p.8634, “Electroencephalogram acquisition”).
Transformation The original data are made up of continuous EEG recordings. The transmission of the original recordings into a data matrix is described in SanMiguel et al. (2013, p.8634, “EEG Preprocessing” & “Event-related potential analysis”).


Description of the Provided Data

Description Research data
File Name slia09hu07_fd1.txt
Data Content 17 subjects, 2377 variables
Data Points 17*2377= 40409 data points
Variables subject identification number (1); EEG recordings for 6 time windows and 64 electrode labels and left vs right hand button press ...and 50% probability omission (6*64*2=768), ... 12% probability omission (6*64*2=768), ... motor only control condition (6*64*2=768), EEG recordings of left temporal (average of FT7, FC5, T7, C5), right temporal (average of FT6, FC8, T8, C6), central (average of Fz, FCz, Cz) for the time windows O1, O2, N1, N2 and left vs right hand button press ...and motor control condition (3*4*2=24), ... and 50 % probability omission (3*4*2=24), ...and 12 % probability omission (3*4*2=24)
MD5 Hash 9dffb0435a324337d62fc40b722affe2
Description Research data: subject information
File Name slia09hu07_fd2.txt
Data Content 19 subjects, 10 variables
Data Points 19*10=190 data points
Variables subject code (1), date (1), time (of day) (1), age (1), gender (1), handedness (1), visual correction (1), auditory threshold (1), counterbalancing (1), additional observations (1)
MD5 Hash 3267f1aa3cb1b4bcc1f2dbfebc1b3dc8


Description of Additional Materials

Description File Name
English codebook slia09hu07_kb1.txt
English codebook slia09hu07_kb2.txt
EEG-recordings: 19 folders (one for each subject). Each folder contains 6 Brain Vision files from the EEG recording.
File description of slia09hu07_fileDescription.txt
Description of blocks and trigger codes slia09hu07_codebook.txt


Publications Directly Related to the Dataset

Publications Directly Related to the Dataset
SanMiguel, I., Widmann, A., Bendixen, A., Trujillo-Barreto, N., & Schröger, E. (2013). Hearing silences: Human auditory processing relies on pre-activation of sound-specific brain activity patterns. Journal of Neuroscience, 33 (20), 8633-8639. Datensatz 0267743


Further Reading

Further Reading
Bosch-Bayard, J., Valdés-Sosa, P., Virues-Alba, T., Aubert-Vázquez, E., John, E.R., Harmony, T., Riera-Díaz, J., Trujillo-Barreto, N. (2001). 3D statistical parametric mapping of EEG source spectra by means of variable resolution electromagnetic tomography (VARETA). Clinical Electroencephalography, 32 (2), 47–61.


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