Evidence map›Paper›PMID 29736907›Full record

ArticleHuman brain mapping2018

Multisensory integration processing during olfactory-visual stimulation-An fMRI graph theoretical network analysis.

Isabelle Ripp, Anna-Nora Zur Nieden, Sonja Blankenagel, Nicolai Franzmeier, Johan N Lundström, Jessica Freiherr

Abstract read
In one paragraph

Article in Human brain mapping, 2018. 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
–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

15 citing papers in PubMed.

  1. Decoding semantic sound categories in early visual cortex.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Article
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  5. Review
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  8. Functional Connectivity of the Chemosenses: A Review.Frontiers in systems neuroscience · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

6 authors.

Isabelle RippDepartment Biology II Neurobiology, Ludwig-Maximilians-University Munich, Munich, Germany.
Anna-Nora Zur NiedenDiagnostic and Interventional Neuroradiology, University Hospital, RWTH Aachen University, Aachen, Germany.
Sonja BlankenagelDepartment of Sensory Analytics, Fraunhofer Institute for Process Engineering and Packaging IVV, Freising, Germany.
Nicolai FranzmeierInstitute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University Munich, Munich, Germany.
Johan N LundströmMonell Chemical Senses Center, Philadelphia, Pennsylvania.
Jessica FreiherrDepartment of Sensory Analytics, Fraunhofer Institute for Process Engineering and Packaging IVV, Freising, Germany.ORCID 0000-0001-9052-4497

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we aimed to understand how whole-brain neural networks compute sensory information integration based on the olfactory and visual system. Task-related functional magnetic resonance imaging (fMRI) data was obtained during unimodal and bimodal sensory stimulation. Based on the identification of multisensory integration processing (MIP) specific hub-like network nodes analyzed with network-based statistics using region-of-interest based connectivity matrices, we conclude the following brain areas to be important for processing the presented bimodal sensory information: right precuneus connected contralaterally to the supramarginal gyrus for memory-related imagery and phonology retrieval, and the left middle occipital gyrus connected ipsilaterally to the inferior frontal gyrus via the inferior fronto-occipital fasciculus including functional aspects of working memory. Applied graph theory for quantification of the resulting complex network topologies indicates a significantly increased global efficiency and clustering coefficient in networks including aspects of MIP reflecting a simultaneous better integration and segregation. Graph theoretical analysis of positive and negative network correlations allowing for inferences about excitatory and inhibitory network architectures revealed-not significant, but very consistent-that MIP-specific neural networks are dominated by inhibitory relationships between brain regions involved in stimulus processing.

Indexed as

ConnectomeMagnetic Resonance ImagingAdolescentAdultEmotionsFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedModels, NeurologicalNerve NetOdorantsOlfactory PerceptionPhotic StimulationVisual Perceptionbeta-series correlationfunctional connectivityfunctional imaginggraph theorynetwork efficiencynetwork statistics

Identifiers

PMID29736907
PMCPMC6866557

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.