Evidence map›Paper›PMID 23662162›Full record

ReviewComputational and mathematical methods in medicine2013

Examining similarity structure: multidimensional scaling and related approaches in neuroimaging.

Svetlana V Shinkareva, Jing Wang, Douglas H Wedell

Abstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. The Neural Representations of Emotional Experiences Are More Similar Than Those of Neutral Experiences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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.

Svetlana V ShinkarevaDepartment of Psychology, University of South Carolina, Columbia, SC 29208, USA. shinkareva@sc.edu
Jing Wang
Douglas H Wedell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper covers similarity analyses, a subset of multivariate pattern analysis techniques that are based on similarity spaces defined by multivariate patterns. These techniques offer several advantages and complement other methods for brain data analyses, as they allow for comparison of representational structure across individuals, brain regions, and data acquisition methods. Particular attention is paid to multidimensional scaling and related approaches that yield spatial representations or provide methods for characterizing individual differences. We highlight unique contributions of these methods by reviewing recent applications to functional magnetic resonance imaging data and emphasize areas of caution in applying and interpreting similarity analysis methods.

Indexed as

BrainBrain MappingCluster AnalysisComputational BiologyHumansMagnetic Resonance ImagingMultivariate AnalysisNeuroimagingPattern Recognition, Automated

Identifiers

PMID23662162
PMCPMC3639644

What OpenQuestion holds

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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.