Evidence map›Paper›PMID 31676416›Full record

ArticleNeuroImage2020

Emergence of β and γ networks following multisensory training.

Daria La Rocca, Philippe Ciuciu, Denis-Alexander Engemann, Virginie van Wassenhove

Open access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. 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 at 3 institutions in 1 country.

Daria La RoccaCEA/DRF/Joliot, Université Paris-Saclay, 91191, Gif-sur-Yvette, France; Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Philippe CiuciuCEA/DRF/Joliot, Université Paris-Saclay, 91191, Gif-sur-Yvette, France; Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Denis-Alexander EngemannCEA/DRF/Joliot, Université Paris-Saclay, 91191, Gif-sur-Yvette, France; Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France.
Virginie van WassenhoveCEA/DRF/Joliot, Université Paris-Saclay, 91191, Gif-sur-Yvette, France; Cognitive Neuroimaging Unit, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin Center, 91191, Gif-sur-Yvette, France. Electronic address: virginie.van.wassenhove@gmail.com.
Centre Inria de Saclay · FRCommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our perceptual reality relies on inferences about the causal structure of the world given by multiple sensory inputs. In ecological settings, multisensory events that cohere in time and space benefit inferential processes: hearing and seeing a speaker enhances speech comprehension, and the acoustic changes of flapping wings naturally pace the motion of a flock of birds. Here, we asked how a few minutes of (multi)sensory training could shape cortical interactions in a subsequent unisensory perceptual task. For this, we investigated oscillatory activity and functional connectivity as a function of individuals' sensory history during training. Human participants performed a visual motion coherence discrimination task while being recorded with magnetoencephalography. Three groups of participants performed the same task with visual stimuli only, while listening to acoustic textures temporally comodulated with the strength of visual motion coherence, or with auditory noise uncorrelated with visual motion. The functional connectivity patterns before and after training were contrasted to resting-state networks to assess the variability of common task-relevant networks, and the emergence of new functional interactions as a function of sensory history. One major finding is the emergence of a large-scale synchronization in the high γ (gamma: 60-120Hz) and β (beta: 15-30Hz) bands for individuals who underwent comodulated multisensory training. The post-training network involved prefrontal, parietal, and visual cortices. Our results suggest that the integration of evidence and decision-making strategies become more efficient following congruent multisensory training through plasticity in network routing and oscillatory regimes.

Indexed as

Acoustic StimulationAdolescentAdultAuditory PerceptionBeta RhythmBrainFemaleGamma RhythmHumansMagnetoencephalographyMaleMotion PerceptionParietal LobePhotic StimulationPrefrontal CortexVisual CortexAcoustic textureAudiovisualBetaConfidenceFunctional connectivityGammaLearningMEGMotion coherenceMultisensoryOscillations

Identifiers

PMID31676416
PMCPMC7355235
OpenAlexW2989171428

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.