Multichannel MEG Time-Frequency Analysis of Visual-Spatial Working Memory Distraction
by Zhengchen Li·Updated 29d ago
15.7 KB1files
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Description
Zhengchen Li presents a magnetoencephalography (MEG) dataset analyzing stage-specific neural responses to spatial distraction in a visual-spatial working memory task. The data includes MEG signals from healthy participants under Distractor and No-distractor conditions, analyzed across encoding, maintenance, and retrieval/decision epochs. Time-frequency power was estimated in delta, theta, alpha, beta, and gamma bands, with results showing significant oscillatory modulation during the maintenance period.
Use Cases
Developing stage-resolved analysis frameworks for cognitive tasks based on the described multichannel MEG time-frequency methodology.
Investigating the neural signature of distraction during mnemonic maintenance based on reported theta, alpha, and beta band power increases.
Comparing sensor-level spatiotemporal dynamics between Distractor and No-distractor conditions using the described cluster-based permutation testing approach.
Validating methods for detecting sustained large-scale oscillatory modulation in working memory tasks.
Strengths
Dataset includes MEG signals analyzed across three distinct task epochs (encoding, maintenance, retrieval/decision), enabling stage-specific investigation.
Analysis framework employs sensor-level spatiotemporal cluster-based permutation testing with Bonferroni correction, a robust statistical method for neuroimaging data.
Results report statistically significant cluster-level p-values (< 0.01) for theta, alpha, and beta band power increases during distraction.
Limitations
Dataset size is only 15.7 KB, suggesting it contains summary analysis or a description document rather than raw or processed time-series data.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for machine learning applications.
Provenance
Source
Author Zhengchen Li, shared via figshare.
Collection Method
MEG signals were recorded from healthy participants performing a visual-spatial working memory task under Distractor and No-distractor conditions.
Freshness
Last updated 2026-05-08 05:56:44; freshness should be verified.
The primary file format is DOCX, which likely contains a research document describing the analysis framework and results rather than a structured data table.