Evidence map›Paper›PMID 31379052›Full record

ArticleHuman brain mapping2019

Close yet independent: Dissociation of social from valence and abstract semantic dimensions in the left anterior temporal lobe.

Xiaosha Wang, Bijun Wang, Yanchao Bi

Open access · bronzeAbstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 3% of its field
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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The brain network in support of social semantic accumulation.Social cognitive and affective neuroscience · 2021
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Brain decoding of spontaneous thought: Predictive modeling of self-relevance and valence using personal narratives.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Semantic knowledge of social interactions is mediated by the hedonic evaluation system in the brain.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
    Article
  17. Review
  18. Article
  19. Social semantics: the organization and grounding of abstract concepts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  20. 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

3 authors at 1 institution in 1 country.

Xiaosha WangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-2133-8161
Bijun WangState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Yanchao BiState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.ORCID 0000-0002-0522-3372
Beijing Normal University · CN

Funding

Changjiang Scholar Professorship Award T2016031China Postdoctoral Science Foundation 2017M610791Fundamental Research Funds for the Central Universities 2017EYT35National Natural Science Foundation of China 31671128National Natural Science Foundation of China 31700943National Program for Special Support of Top-notch Young Professionalsthe 111 Project, Grant No. BP0719032
6 · The paper itself

Abstract

The anterior temporal lobe (ATL) is engaged in various types of semantic dimensions. One consistently reported dimension is social information, with abstract words describing social behaviors inducing stronger activations in the ATL than nonsocial words. One potential factor that has been systematically confounded in this finding is emotional valence, given that abstract social words tend to be associated with emotional feelings. We investigated which factors drove the ATL sensitivity using a 2 (social/nonsocial) × 2 (valenced/neutral) factorial design in an fMRI study with relatively high spatial resolutions. We found that sociality and valence were processed in different ATL regions without significant interactions: The social effect was found in the left anterior superior temporal sulcus (aSTS), whereas the valence effect activated small clusters in the bilateral temporal poles (TP). In the left ATL, the social- and valence-related clusters were distinct from another superior ATL area that exhibited a general "abstractness" effect with little modulation of sociality or valence. These subregions exhibited distinct whole-brain functional connectivity patterns during the resting state, with the social cluster functionally connected to the default mode network, the valence cluster connected to the adjacent temporal regions and amygdala, and the abstractness cluster connected to a distributed network including a set of language-related regions. These results of activation profiles and connectivity patterns together indicate that the way in which the left ATL supports semantic processing is highly fine-grained, with the neural substrate for social semantic effects dissociated from those for emotional valence and abstractness.

Indexed as

EmotionsSemanticsSocial BehaviorAdultBrain MappingFemaleHumansLanguageMagnetic Resonance ImagingMaleReaction TimeTemporal LobeYoung Adultabstract wordsanterior temporal lobeemotional valencesemanticssociality

Identifiers

PMID31379052
PMCPMC6865632
OpenAlexW2965743895

What OpenQuestion holds

Textmetadata
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.