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Binaural Advantage Enhances the Mismatch Negativity and Interhemispheric Connectivity During Gap Detection

2025· preprint· W4414738453 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Language
FieldEngineering
TopicInfrared Target Detection Methodologies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMonauralBinaural recordingAuditory cortexLateralization of brain functionSound localizationMismatch negativityAuditory perceptionElectroencephalography

Abstract

fetched live from OpenAlex

not-yet-known not-yet-known not-yet-known unknown Binaural hearing provides a perceptual advantage in detecting brief gaps in sound, yet the neural mechanisms underlying this benefit remain poorly understood. This study examined the cortical dynamics and lateralization associated with the binaural advantage and ear advantage in auditory gap detection using event-related potentials (ERPs) and effective connectivity analysis. Sixteen normal-hearing adults were presented with monaural (left and right ear) and binaural broadband pink noise stimuli containing silent gaps of varying durations, while EEG was recorded. We analyzed the Mismatch Negativity (MMN) to assess auditory gap detection. Source-localized activity and Granger causality were analyzed across ten functionally defined scouts to evaluate cortical dynamics and effective connectivity underlying ear asymmetry and binaural advantage. Results revealed significantly larger and earlier MMN responses in the binaural condition compared to monaural presentations, with stronger activation in contralateral temporal clusters for monaural conditions. Source-localized activity and effective connectivity exploratory analyses showed an overall enhanced activation for binaural stimulation for the standard stimuli. However, despite the stronger MMN observed in the binaural difference wave, source activity revealed a pattern of binaural suppression. Connectivity analyses further showed pronounced variations originating from the left auditory cortex and temporal gyri depending on listening condition, whereas connectivity involving the right auditory cortex varied as a function of gap duration. Together, these findings suggest that the binaural advantage relies on more efficient, facilitated mechanisms, while monaural stimulation requires increased cortical activity and connectivity to support temporal discrimination.

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Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.277
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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