Evidence map›Paper›PMID 31728708›Full record

ReviewBrain topography2019

The Emotional Facet of Subjective and Neural Indices of Similarity.

Martina Riberto, Gorana Pobric, Deborah Talmi

Abstract readReview
In one paragraph

Review in Brain topography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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
  8. 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.

Martina RibertoDivision of Neuroscience and Experimental Psychology, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK.ORCID http://orcid.org/0000-0001-9662-7163
Gorana PobricDivision of Neuroscience and Experimental Psychology, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK. gorana.pobric@manchester.ac.uk.
Deborah TalmiDivision of Neuroscience and Experimental Psychology, University of Manchester, Oxford Rd, Manchester, M13 9PL, UK. deborah.talmi@manchester.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotional similarity refers to the tendency to group stimuli together because they evoke the same feelings in us. The majority of research on similarity perception that has been conducted to date has focused on non-emotional stimuli. Different models have been proposed to explain how we represent semantic concepts, and judge the similarity among them. They are supported from behavioural and neural evidence, often combined by using Multivariate Pattern Analyses. By contrast, less is known about the cognitive and neural mechanisms underlying the judgement of similarity between real-life emotional experiences. This review summarizes the major findings, debates and limitations in the semantic similarity literature. They will serve as background to the emotional facet of similarity that will be the focus of this review. A multi-modal and overarching approach, which relates different levels of neuroscientific explanation (i.e., computational, algorithmic and implementation), would be the key to further unveil what makes emotional experiences similar to each other.

Indexed as

EmotionsFemaleHumansJudgmentMaleMultivariate AnalysisNerve NetSelf ConceptSemanticsEmotionsMultivariate pattern analysisSemantic memorySimilarity

Identifiers

PMID31728708
PMCPMC6882781

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.