Evidence map›Paper›PMID 29163099›Full record

ArticleFrontiers in human neuroscience2017

A Computational Analysis of Neural Mechanisms Underlying the Maturation of Multisensory Speech Integration in Neurotypical Children and Those on the Autism Spectrum.

Cristiano Cuppini, Mauro Ursino, Elisa Magosso, Lars A Ross, John J Foxe, Sophie Molholm

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Space Impacts Temporal Processing via a Visual-Dependent Spatially Organized Neural Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Multisensory integration in the mammalian brain: diversity and flexibility in health and disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  6. Article
  7. Article
  8. Crossmodal interactions in human learning and memory.Frontiers in human neuroscience · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Approaches to Understanding Multisensory Dysfunction in Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2020
    Review
  14. Article
  15. Review
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 at 3 institutions in 2 countries.

Cristiano CuppiniDepartment of Electric, Electronic and Information Engineering, University of Bologna, Bologna, Italy.
Mauro UrsinoDepartment of Electric, Electronic and Information Engineering, University of Bologna, Bologna, Italy.
Elisa MagossoDepartment of Electric, Electronic and Information Engineering, University of Bologna, Bologna, Italy.
Lars A RossDepartments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, United States.
John J FoxeDepartments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, United States.
Sophie MolholmDepartments of Pediatrics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, United States.
University of Bologna · ITAlbert Einstein College of Medicine · USUniversity of Rochester · US

Funding

Translational Neuroimaging CoreP30HD071593 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI WALKLEY, STEVEN UPSHAW · 2011 to 2015
$5.6M
Sensory Processing and Integration in AutismR01MH085322 · NIMH · CITY COLLEGE OF NEW YORK · PI FOXE, JOHN J, MOLHOLM, SOPHIE · 2009 to 2013
$2.8M
NICHD NIH HHS P30 HD071593NIMH NIH HHS R01 MH085322
6 · The paper itself

Abstract

Failure to appropriately develop multisensory integration (MSI) of audiovisual speech may affect a child's ability to attain optimal communication. Studies have shown protracted development of MSI into late-childhood and identified deficits in MSI in children with an autism spectrum disorder (ASD). Currently, the neural basis of acquisition of this ability is not well understood. Here, we developed a computational model informed by neurophysiology to analyze possible mechanisms underlying MSI maturation, and its delayed development in ASD. The model posits that strengthening of feedforward and cross-sensory connections, responsible for the alignment of auditory and visual speech sound representations in posterior superior temporal gyrus/sulcus, can explain behavioral data on the acquisition of MSI. This was simulated by a training phase during which the network was exposed to unisensory and multisensory stimuli, and projections were crafted by Hebbian rules of potentiation and depression. In its mature architecture, the network also reproduced the well-known multisensory McGurk speech effect. Deficits in audiovisual speech perception in ASD were well accounted for by fewer multisensory exposures, compatible with a lack of attention, but not by reduced synaptic connectivity or synaptic plasticity.

Indexed as

developmentHebbian learning rulesMcGurk effectmultisensory trainingneural networkspeech comprehension

Identifiers

PMID29163099
PMCPMC5670153
OpenAlexW2765705812

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.