Evidence map›Paper›PMID 42627472›Full record

ArticleNeuroscience bulletin2026

Frequency-Specific Neural Dynamics and Decoding of Hierarchical Auditory Sequences Revealed by Magnetoencephalography.

Zhao Xu, Qinhui Yao, Yuwei Jiang

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Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Zhao XuInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
Qinhui YaoInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China.
Yuwei JiangInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, China. yuwjiang@fudan.edu.cn.ORCID http://orcid.org/0000-0002-9533-0760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hierarchical auditory processing is crucial for human language perception. However, the spatiotemporal characteristics of frequency-specific neural dynamics and the representation of abstract auditory properties, such as sequential structures and probability attributes, during auditory processing remain insufficiently understood. We used magnetoencephalography and a hierarchical auditory sequence paradigm to investigate these characteristics. Our findings delineated the bidirectional connections underlying auditory processing across multiple timescales, as reflected by frequency-specific directed information flow, and revealed temporal alternations in the direction of low-frequency oscillatory activity. Using multivariate decoders applied to low-frequency signals, we decoded tone- and sequence-level regularities along cortical pathways in temporal order, demonstrating the progressive representation of hierarchical auditory information. Furthermore, frequency-specific decoding of neural activity in temporal and memory-associated regions disentangled the sequential and probabilistic properties integrated during abstract auditory processing. Collectively, these results advance our understanding of the mechanisms underlying information sharing and the integration of abstract auditory information during perception.

Indexed as

Auditory sequenceDecodingFrequency-specific dynamicsHierarchical processingMagnetoencephalography

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Registered trials

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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.