ArticleScientific data2025
MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps and Noisy Sentences.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps and Noisy Sentences.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Stories, Chirps, And Noisy Sentences (MEG-SCANS) is a dataset that provides raw magnetoencephalography (MEG) recordings from 24 German-speaking subjects. Each subject listened to approximately one hour of stimuli, including two audiobooks, sentences from the Oldenburger Matrix Sentence Test (OLSA) for Speech Reception Threshold (SRT) assessment, and short up-chirps used to assess MEG signal quality. The dataset includes MEG data, structural MRI (Magnetic Resonance Imaging) scans of the head, corresponding audio material (audiobooks, OLSA envelopes, and chirp stimuli), and behavioral audiogram and SRT results from hearing screenings. Organized according to the Brain Imaging Data Structure (BIDS), this resource offers a robust benchmark for large-scale encoding/decoding analyses of temporally-resolved brain responses to speech. Comprehensive Matlab and Python code are included to replicate key data validations, ensuring transparency and reproducibility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.