Evidence map›Paper›PMID 25352218›Full record

ArticleThe European journal of neuroscience2015

Role of the anterior insular cortex in integrative causal signaling during multisensory auditory-visual attention.

Tianwen Chen, Lars Michels, Kaustubh Supekar, John Kochalka, Srikanth Ryali, Vinod Menon

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. The effect of learning to drum on behavior and brain function in autistic adolescents.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

6 authors.

Tianwen ChenDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA, 94305, USA.
Lars Michels
Kaustubh Supekar
John Kochalka
Srikanth Ryali
Vinod Menon

Funding

Methods for Dynamic Causal Interactions in Human Brain Function and DysfunctionR01NS086085 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2014 to 2025
$3.9M
Methods for Dynamic Causal Interactions in the Developing Human BrainK25HD074652 · NICHD · STANFORD UNIVERSITY · PI RYALI, SRIKANTH · 2013 to 2019
$663k
Multivariate Dynamical Systems Methods for Identifying Causal Interactions in fMRR21NS071221 · NINDS · STANFORD UNIVERSITY · PI MENON, VINOD · 2011 to 2012
$435k
NICHD NIH HHS K25 HD074652NICHD NIH HHS K25HD074652NINDS NIH HHS NS071221NINDS NIH HHS NS0860851NINDS NIH HHS R01 NS086085NINDS NIH HHS R21 NS071221
6 · The paper itself

Abstract

Coordinated attention to information from multiple senses is fundamental to our ability to respond to salient environmental events, yet little is known about brain network mechanisms that guide integration of information from multiple senses. Here we investigate dynamic causal mechanisms underlying multisensory auditory-visual attention, focusing on a network of right-hemisphere frontal-cingulate-parietal regions implicated in a wide range of tasks involving attention and cognitive control. Participants performed three 'oddball' attention tasks involving auditory, visual and multisensory auditory-visual stimuli during fMRI scanning. We found that the right anterior insula (rAI) demonstrated the most significant causal influences on all other frontal-cingulate-parietal regions, serving as a major causal control hub during multisensory attention. Crucially, we then tested two competing models of the role of the rAI in multisensory attention: an 'integrated' signaling model in which the rAI generates a common multisensory control signal associated with simultaneous attention to auditory and visual oddball stimuli versus a 'segregated' signaling model in which the rAI generates two segregated and independent signals in each sensory modality. We found strong support for the integrated, rather than the segregated, signaling model. Furthermore, the strength of the integrated control signal from the rAI was most pronounced on the dorsal anterior cingulate and posterior parietal cortices, two key nodes of saliency and central executive networks respectively. These results were preserved with the addition of a superior temporal sulcus region involved in multisensory processing. Our study provides new insights into the dynamic causal mechanisms by which the AI facilitates multisensory attention.

Indexed as

Acoustic StimulationAdolescentAdultAttentionAuditory PerceptionBrain MappingCerebral CortexFemaleHumansMagnetic Resonance ImagingMaleModels, NeurologicalNeuropsychological TestsPhotic StimulationVisual PerceptionYoung Adultanterior insular cortexcentral executive networkmultisensory attentionmultivariate dynamical system modeloddballsalience network

Identifiers

PMID25352218
PMCPMC4300257

What OpenQuestion holds

Textmetadata
LicenceTDM
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.