Evidence map›Paper›PMID 26749189›Full record

ArticleHuman brain mapping2016

Modality-independent representations of small quantities based on brain activation patterns.

Saudamini Roy Damarla, Vladimir L Cherkassky, Marcel Adam Just

Abstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Brain Representation of Numerosity across the Senses and Presentation Formats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Does the approximate number system serve as a foundation for symbolic mathematics?Language learning and development : the official journal of the Society for Language Development · 2017
    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

3 authors.

Saudamini Roy DamarlaDepartment of Psychology, Center for Cognitive Brain Imaging, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Vladimir L CherkasskyDepartment of Psychology, Center for Cognitive Brain Imaging, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Marcel Adam JustDepartment of Psychology, Center for Cognitive Brain Imaging, Carnegie Mellon University, Pittsburgh, Pennsylvania.

Funding

The Neural Bases of he Semantic Structure of Words and ConceptsR01MH029617 · NIMH · CARNEGIE-MELLON UNIVERSITY · PI JUST, MARCEL ADAM · 1986 to 2014
$2.8M
NIMH NIH HHS MH029617NIMH NIH HHS R01 MH029617
6 · The paper itself

Abstract

Machine learning or MVPA (Multi Voxel Pattern Analysis) studies have shown that the neural representation of quantities of objects can be decoded from fMRI patterns, in cases where the quantities were visually displayed. Here we apply these techniques to investigate whether neural representations of quantities depicted in one modality (say, visual) can be decoded from brain activation patterns evoked by quantities depicted in the other modality (say, auditory). The main finding demonstrated, for the first time, that quantities of dots were decodable by a classifier that was trained on the neural patterns evoked by quantities of auditory tones, and vice-versa. The representations that were common across modalities were mainly right-lateralized in frontal and parietal regions. A second finding was that the neural patterns in parietal cortex that represent quantities were common across participants. These findings demonstrate a common neuronal foundation for the representation of quantities across sensory modalities and participants and provide insight into the role of parietal cortex in the representation of quantity information.

Indexed as

Machine LearningAcoustic StimulationAdultFemaleFrontal LobeHumansMagnetic Resonance ImagingMaleParietal LobePhotic StimulationRandom AllocationYoung Adultcross-modalityfMRImultivoxel pattern analysisnumber representation

Identifiers

PMID26749189
PMCPMC5384793

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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.