Evidence map›Paper›PMID 26879093›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2016

Bidirectional Modulation of Numerical Magnitude.

Qadeer Arshad, Yuliya Nigmatullina, Ramil Nigmatullin, Paladd Asavarut, Usman Goga, Sarah Khan, Kaija Sander, Shuaib Siddiqui, R E Roberts, Roi Cohen Kadosh and 2 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
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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

12 authors.

Qadeer ArshadDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Yuliya NigmatullinaDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Ramil NigmatullinInstitut für Quantenphysik and Centre for Integrated Quantum Science and Technology (IQST), Albert Einstein Allell, Universität Ulm, Ulm D-89069, Germany.
Paladd AsavarutDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Usman GogaDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Sarah KhanDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Kaija SanderDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Shuaib SiddiquiDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
R E RobertsDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Roi Cohen KadoshDepartment of Experimental Psychology, Oxford University, Oxford 0X1 3UD, UK.
Adolfo M BronsteinDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.
Paresh A MalhotraDivision of Brain Sciences, Imperial College London, London W6 8RF, UK.

Funding

Medical Research Council G0701698Medical Research Council MR/J004685/1
6 · The paper itself

Abstract

Numerical cognition is critical for modern life; however, the precise neural mechanisms underpinning numerical magnitude allocation in humans remain obscure. Based upon previous reports demonstrating the close behavioral and neuro-anatomical relationship between number allocation and spatial attention, we hypothesized that these systems would be subject to similar control mechanisms, namely dynamic interhemispheric competition. We employed a physiological paradigm, combining visual and vestibular stimulation, to induce interhemispheric conflict and subsequent unihemispheric inhibition, as confirmed by transcranial direct current stimulation (tDCS). This allowed us to demonstrate the first systematic bidirectional modulation of numerical magnitude toward either higher or lower numbers, independently of either eye movements or spatial attention mediated biases. We incorporated both our findings and those from the most widely accepted theoretical framework for numerical cognition to present a novel unifying computational model that describes how numerical magnitude allocation is subject to dynamic interhemispheric competition. That is, numerical allocation is continually updated in a contextual manner based upon relative magnitude, with the right hemisphere responsible for smaller magnitudes and the left hemisphere for larger magnitudes.

Indexed as

Mathematical ConceptsAdolescentAdultAnimalsAttentionBrainCognitionEar CanalEye MovementsFemaleFrontal LobeHumansMaleModels, NeurologicalNeural InhibitionNystagmus, Physiologicdynamic interhemispheric competitionmental number linenumerical magnitudevestibular cognitionVOR

Identifiers

PMID26879093
PMCPMC4830300

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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.