Evidence map›Paper›PMID 42082884›Full record

ArticleBrain structure & function2026

Emotive language activates right temporoparietal junction, while referential language activates the left hemispheric network.

Qiong Ma, Michiru Makuuchi

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In one paragraph

Article in Brain structure & function, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Qiong MaSchool of Languages and Cultures, Nanjing Tech University, Nanjing, Jiangsu, 211816, China.ORCID http://orcid.org/0000-0002-1090-1799
Michiru MakuuchiSection of Neuropsychology, Research Institute of National Rehabilitation Center for Persons with Disabilities, 4-1 Namiki, Tokorozawa-shi, Saitama-ken, 359-8555, Japan. makuuchi-michiru@rehab.go.jp.ORCID http://orcid.org/0000-0002-3460-641X

Funding

JSPS KAKENHI Grant JP17H06380
6 · The paper itself

Abstract

Language has referential and emotive uses. Referential language depicts events and can be verified or falsified by comparison with the event, whereas emotive language lacks the events upon which one can determine the truth value of the sentence. Using functional magnetic resonance imaging (fMRI), we investigated the brain mechanisms of the processing of the two semantically distinct forms of language in a paradigm of empathy for pain conveyed through single short sentences. In the emotive condition, subjective expressions of pain, such as "I have a toothache", were used. In the referential condition, an objective description of events in which an individual would experience pain, such as "I cut my finger", were presented. Assuming each stimulus elicits activation proportional to pain intensity ratings, we combined referential and emotive conditions and performed an analysis with a parametric modulation model. It revealed activation in the anterior cingulate cortex and, slightly below the threshold, the anterior insula, that are involved in the perception of one's own pain. Without pooling the two conditions, only the referential condition yielded activation in the two regions. Crucially, although both emotive and referential language activated multiple regions, emotive sentences activated the right temporoparietal junction, whereas referential sentences activated the precuneus/retrosplenial cortex, parahippocampal cortex, and the language network in the left hemisphere. These results suggest that a complementary interhemispheric network supports the processing of both types of language.

Indexed as

EmotionsFunctional LateralityLanguageParietal LobeTemporal LobeAdultBrain MappingEmpathyFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePainSemanticsYoung AdultEmotivefMRILanguageReferentialSemanticsTPJ

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What OpenQuestion holds

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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.