Evidence map›Paper›PMID 42182069›Full record

ArticleFrontiers in neuroscience2026

A multichannel MEG time-frequency analysis framework for detecting stage -specific effects of spatial distraction in visual-spatial working memory.

Zhengchen Li, Qian Liang, Wuqiang Xiao, Tao Li, Zhilin Chen, Xiaoshun Tang, Yetong Ouyang, Zhexue Huang, Limin Sun, Xiaohui Tang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

11 authors.

Zhengchen Li *Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Qian Liang *Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Wuqiang Xiao *Department of Internal Emergency Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Tao LiDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhilin ChenDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Xiaoshun TangDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Yetong OuyangDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Zhexue HuangDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Limin SunState Key Laboratory of Functional Materials of Informatics, CAS Center for Excellence in Superconducting Electronics (CENSE), Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences, Shanghai, China.
Xiaohui TangDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Xijin WangDepartment of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Spatial distraction can disrupt visual-spatial working memory (VSWM), but its stage-dependent effects on multichannel neural dynamics remain insufficiently characterized. This study presents a multichannel magnetoencephalography (MEG) time-frequency analysis framework to detect stage-specific oscillatory responses to spatial distraction during a VSWM task. Methods: MEG signals were recorded from healthy participants under Distractor and No-distractor conditions and analyzed across encoding, maintenance, and retrieval/decision epochs. Time-frequency power was estimated in the delta, theta, alpha, beta, and gamma bands, and condition differences were evaluated using sensor-level spatiotemporal cluster-based permutation testing and Bonferroni correction within each predefined epoch. Results: The proposed analysis revealed a clear stage-specific pattern, with the most prominent modulation occurring during maintenance. Specifically, distraction induced robust and sustained increases in theta-, alpha-, and beta-band power during the retention interval (all cluster-level Discussion: These findings highlight sustained large-scale oscillatory modulation as a key neural signature of distraction during mnemonic maintenance. The study provides an interpretable multichannel signal-analysis perspective on distraction effects in working memory and offers a practical framework for stage-resolved analysis of brain dynamics in cognitive tasks.

Indexed as

cognitive controlinhibitory controlmagnetoencephalography (MEG)oscillatory dynamicsvisual-spatial working memory

Identifiers

PMID42182069
PMCPMC13195020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.