Evidence map›Paper›PMID 32716850›Full record

ArticleDevelopmental cognitive neuroscience2020

Body representation in infants: Categorical boundaries of body parts as assessed by somatosensory mismatch negativity.

Guannan Shen, Andrew N Meltzoff, Staci M Weiss, Peter J Marshall

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. The Somatosensory Mismatch Negativity.The European journal of neuroscience · 2025
    Review
  3. Article
  4. Review
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.

Guannan ShenDepartment of Psychology, Temple University, 1701 N. 13th Street, Philadelphia, PA 19122, USA. Electronic address: sheng1@email.chop.edu.
Andrew N MeltzoffInstitute for Learning & Brain Sciences, University of Washington, Seattle, USA.
Staci M WeissDepartment of Psychology, Temple University, 1701 N. 13th Street, Philadelphia, PA 19122, USA.
Peter J MarshallDepartment of Psychology, Temple University, 1701 N. 13th Street, Philadelphia, PA 19122, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing interest in developing and using novel measures to assess how the body is represented in human infancy. Various lines of evidence with adults and older children show that tactile perception is modulated by a high-level representation of the body. For instance, the distance between two points of tactile stimulation is perceived as being greater when these points cross a joint boundary than when they are within a body part, suggesting that the representation of the body is structured with joints acting as categorical boundaries between body parts. Investigating the developmental origins of this categorical effect has been constrained by infants' inability to verbally report on the properties of tactile stimulation. Here we made novel use of an infant brain measure, the somatosensory mismatch negativity (sMMN), to explore categorical aspects of tactile body processing in infants aged 6-7 months. Amplitude of the sMMN elicited by tactile stimuli across the wrist boundary was significantly greater than for stimuli of equal distance that were within the boundary, suggesting a categorical effect in body processing in infants. We suggest that an early-appearing, structured representation of the body into 'parts' may play a role in mapping correspondences between self and other.

Indexed as

Human BodyBody ImageFemaleHumansInfantMaleSomatosensory CortexBody representationCategorical body perceptionInfant EEGsMMN

Identifiers

PMID32716850
PMCPMC7303979

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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.