Evidence map›Paper›PMID 41262170›Full record

ArticleNeurophotonics2026

Tone disruptions in Mandarin post-stroke aphasia: an fNIRS study on Broca's area using the auditory oddball paradigm.

Likan Zhan, Wanfei Lv, Lijun Yin, Chenlu Guo, Chong Lu

Abstract read
In one paragraph

Article in Neurophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Likan ZhanBeijing Language and Culture University, Cognitive Science and Allied Health School, Beijing, China.ORCID https://orcid.org/0000-0002-9275-3557
Wanfei LvBeijing Language and Culture University, Cognitive Science and Allied Health School, Beijing, China.
Lijun YinChina Rehabilitation Research Center for Hearing and Speech Impairment, Beijing, China.ORCID https://orcid.org/0009-0004-6627-5960
Chenlu GuoBeijing Language and Culture University, Cognitive Science and Allied Health School, Beijing, China.
Chong LuBeijing Language and Culture University, Cognitive Science and Allied Health School, Beijing, China.ORCID https://orcid.org/0009-0003-2375-1499

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Tone processing is essential in tonal languages such as Mandarin. Understanding how post-stroke aphasia (PSA) affects tone perception can guide targeted rehabilitation, especially in linguistically unique populations. Aim: We aimed to explore the neural mechanisms of tone perception in Mandarin-speaking PSA patients and examine how brain network reorganization supports or hinders phonological processing. Approach: Using functional near-infrared spectroscopy (fNIRS) and a tone-based auditory oddball paradigm, we compared cortical activation and functional connectivity (FC) patterns between PSA patients and healthy controls. Results: Patients with PSA showed reduced/reversed hemodynamic responses in the left Broca's area but increased FC with the right motor cortex. Despite this local hyperconnectivity, overall FC was lower in patients than in controls, especially among highly connected links ( Conclusions: The findings highlight altered auditory-motor network dynamics in PSA, with Broca's area playing a central role in tone-based phonological processing. These results support the potential of fNIRS for clinical assessment and underscore the importance of accounting for network-level changes in aphasia rehabilitation strategies for tonal languages.

Indexed as

auditory oddball paradigm; functional near-infrared spectroscopyBroca’s areapost-stroke aphasia

Identifiers

PMID41262170
PMCPMC12626338

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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.