Evidence map›Paper›PMID 42215620›Full record

ArticleCommunications biology2026

Cognitive load weakens neural speech tracking without altering response timing.

Ruixiang Liu, Huan Zhang, Chang Liu, Xinmeng Xu, Xu Zhao, Xuewen Wang, Fulong Zhang, Xianzheng Sha, Limin Sun, Zhi Wang and 2 more

Abstract read
In one paragraph

Article in Communications biology, 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
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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

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

12 authors.

Ruixiang Liu *Department of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.ORCID http://orcid.org/0009-0001-3549-3891
Huan Zhang *Department of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Chang Liu *Department of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Xinmeng XuDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Xu ZhaoDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Xuewen WangDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Fulong ZhangDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Xianzheng ShaDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China.
Limin SunShanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China.
Zhi WangDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China. wangzhi@cmu.edu.cn.ORCID http://orcid.org/0009-0004-9177-8172
Shuo LiSchool of Life Science, China Medical University, Shenyang, Liaoning, China. sli@cmu.edu.cn.ORCID http://orcid.org/0000-0002-9874-4790
Shijie ChangDepartment of Biomedical Engineering, China Medical University, Shenyang, Liaoning, China. sjchang@cmu.edu.cn.ORCID http://orcid.org/0000-0003-2877-684X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Everyday speech perception often occurs under concurrent cognitive demands, but it remains unclear how speech-extrinsic load influences the neural processing of continuous speech. Here, electroencephalography (EEG) recordings from 29 healthy adults are analyzed with temporal response functions (TRFs), artificial neural network (ANN) decoding, and phase-lag index (PLI)-based connectivity measures during speech listening with or without concurrent mental arithmetic. Higher cognitive load reduces the amount of speech-envelope information recoverable from EEG, as reflected by lower delta-band TRF prediction accuracy and lower ANN-based decoding performance, whereas theta-band encoding accuracy did not differ significantly between conditions. In the delta-band TRF, cognitive load is associated with reduced response amplitude without an obvious shift in dominant peak latency. Higher load is also accompanied by selective changes in delta-band sensor-level phase coupling and a more clustered, more small-world-like topology in the thresholded delta-band PLI subnetwork. These findings suggest that speech-extrinsic cognitive load weakens neural representations of continuous speech and alters frontotemporal coupling patterns, even in the absence of speech degradation or competing talkers.

Indexed as

CognitionReaction TimeSpeechSpeech PerceptionAdultElectroencephalographyFemaleHumansMaleNeural Networks, ComputerYoung Adult

Identifiers

PMID42215620
PMCPMC13507231

What OpenQuestion holds

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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.