Evidence map›Paper›PMID 30099078›Full record

ArticleNeuroImage2018

Functional connectivity within the voice perception network and its behavioural relevance.

Virginia Aglieri, Thierry Chaminade, Sylvain Takerkart, Pascal Belin

Abstract read
In one paragraph

Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

4 authors.

Virginia AglieriInstitut des Neurosciences de la Timone, UMR 7289, CNRS and Université Aix-Marseille, Marseille, France. Electronic address: virginia.aglieri@univ-amu.fr.
Thierry ChaminadeInstitut des Neurosciences de la Timone, UMR 7289, CNRS and Université Aix-Marseille, Marseille, France; Institute of Language, Communication and the Brain, Marseille, France.
Sylvain TakerkartInstitut des Neurosciences de la Timone, UMR 7289, CNRS and Université Aix-Marseille, Marseille, France; Institute of Language, Communication and the Brain, Marseille, France.
Pascal BelinInstitut des Neurosciences de la Timone, UMR 7289, CNRS and Université Aix-Marseille, Marseille, France; Institute of Language, Communication and the Brain, Marseille, France; International Laboratories for Brain, Music and Sound, Department of Psychology, Université de Montréal, McGill University, Montreal, QC, Canada.

Funding

Biotechnology and Biological Sciences Research Council BB/E003958/1Biotechnology and Biological Sciences Research Council BB/I022287/1
6 · The paper itself

Abstract

Recognizing who is speaking is a cognitive ability characterized by considerable individual differences, which could relate to the inter-individual variability observed in voice-elicited BOLD activity. Since voice perception is sustained by a complex brain network involving temporal voice areas (TVAs) and, even if less consistently, extra-temporal regions such as frontal cortices, functional connectivity (FC) during an fMRI voice localizer (passive listening of voices vs non-voices) has been computed within twelve temporal and frontal voice-sensitive regions ("voice patches") individually defined for each subject (N = 90) to account for inter-individual variability. Results revealed that voice patches were positively co-activated during voice listening and that they were characterized by different FC pattern depending on the location (anterior/posterior) and the hemisphere. Importantly, FC between right frontal and temporal voice patches was behaviorally relevant: FC significantly increased with voice recognition abilities as measured in a voice recognition test performed outside the scanner. Hence, this study highlights the importance of frontal regions in voice perception and it supports the idea that looking at FC between stimulus-specific and higher-order frontal regions can help understanding individual differences in processing social stimuli such as voices.

Indexed as

Social PerceptionVoiceAdolescentAdultAgedAuditory CortexAuditory PerceptionConnectomeFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetRecognition, PsychologyAuditory cortexfMRIFunctional connectivityIndividual differencesVoice perceptionVoice recognition

Identifiers

PMID30099078
PMCPMC6215333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.