Evidence map›Paper›PMID 32219312›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Dissociable Neural Information Dynamics of Perceptual Integration and Differentiation during Bistable Perception.

Andrés Canales-Johnson, Alexander J Billig, Francisco Olivares, Andrés Gonzalez, María Del Carmen Garcia, Walter Silva, Esteban Vaucheret, Carlos Ciraolo, Ezequiel Mikulan, Agustín Ibanez and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Broadband synergy versus oscillatory redundancy in the visual cortex.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. How much consciousness is there in complexity?Frontiers in psychology · 2022
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Andrés Canales-JohnsonDepartment of Psychology, University of Cambridge, CB2 3EB Cambridge, UK.
Alexander J BilligBrain and Mind Institute, University of Western Ontario, London, N6A 3K7, Canada.
Francisco OlivaresFacultad de Psicologia, Universidad Diego Portales, Santiago 8370076, Chile.
Andrés GonzalezFacultad de Psicologia, Universidad Diego Portales, Santiago 8370076, Chile.
María Del Carmen GarciaPrograma de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, Buenos Aires C1199ABB, Argentina.
Walter SilvaPrograma de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, Buenos Aires C1199ABB, Argentina.
Esteban VaucheretPrograma de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, Buenos Aires C1199ABB, Argentina.
Carlos CiraoloPrograma de Cirugía de Epilepsia, Hospital Italiano de Buenos Aires, Buenos Aires C1199ABB, Argentina.
Ezequiel MikulanLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires 1126, Argentina.
Agustín IbanezLaboratory of Experimental Psychology and Neuroscience (LPEN), Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires 1126, Argentina.
David HuepeSchool of Psychology, Center for Social and Cognitive Neuroscience (CSCN), Universidad Adolfo Ibáñez, Santiago 2485, Chile.
Valdas NoreikaDepartment of Psychology, University of Cambridge, CB2 3EB Cambridge, UK.
Srivas ChennuSchool of Computing, University of Kent, ME4 4AG Chatham, UK.
Tristan A BekinschteinDepartment of Psychology, University of Cambridge, CB2 3EB Cambridge, UK.

Funding

Wellcome TrustWellcome Trust WT093811MA
6 · The paper itself

Abstract

At any given moment, we experience a perceptual scene as a single whole and yet we may distinguish a variety of objects within it. This phenomenon instantiates two properties of conscious perception: integration and differentiation. Integration is the property of experiencing a collection of objects as a unitary percept and differentiation is the property of experiencing these objects as distinct from each other. Here, we evaluated the neural information dynamics underlying integration and differentiation of perceptual contents during bistable perception. Participants listened to a sequence of tones (auditory bistable stimuli) experienced either as a single stream (perceptual integration) or as two parallel streams (perceptual differentiation) of sounds. We computed neurophysiological indices of information integration and information differentiation with electroencephalographic and intracranial recordings. When perceptual alternations were endogenously driven, the integrated percept was associated with an increase in neural information integration and a decrease in neural differentiation across frontoparietal regions, whereas the opposite pattern was observed for the differentiated percept. However, when perception was exogenously driven by a change in the sound stream (no bistability), neural oscillatory power distinguished between percepts but information measures did not. We demonstrate that perceptual integration and differentiation can be mapped to theoretically motivated neural information signatures, suggesting a direct relationship between phenomenology and neurophysiology.

Indexed as

Acoustic StimulationAuditory PerceptionBrainElectroencephalographyFemaleHumansMaleYoung Adultauditory streamingbistable perceptioninformation differentiationinformation integrationphenomenal consciousness

Identifiers

PMID32219312
PMCPMC7325715

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Registered trials

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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.