Evidence map›Paper›PMID 27012301›Full record

SynthesisHuman brain mapping2016

General and specialized brain correlates for analogical reasoning: A meta-analysis of functional imaging studies.

Lucie Hobeika, Capucine Diard-Detoeuf, Béatrice Garcin, Richard Levy, Emmanuelle Volle

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis 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 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% of its field
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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. A Cortical Surface-Based Meta-Analysis of Human Reasoning.Cerebral cortex (New York, N.Y. : 1991) · 2021
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The prefrontal cortex: from monkey to man.Brain : a journal of neurology · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors at 3 institutions in 1 country.

Lucie HobeikaInserm, U 1127, Paris, 75013, France.
Capucine Diard-DetoeufInserm, U 1127, Paris, 75013, France.
Béatrice GarcinInserm, U 1127, Paris, 75013, France.
Richard LevyInserm, U 1127, Paris, 75013, France.
Emmanuelle VolleInserm, U 1127, Paris, 75013, France.
Sorbonne Université · FRCentre National de la Recherche Scientifique · FRPitié-Salpêtrière Hospital · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reasoning by analogy allows us to link distinct domains of knowledge and to transfer solutions from one domain to another. Analogical reasoning has been studied using various tasks that have generally required the consideration of the relationships between objects and their integration to infer an analogy schema. However, these tasks varied in terms of the level and the nature of the relationships to consider (e.g., semantic, visuospatial). The aim of this study was to identify the cerebral network involved in analogical reasoning and its specialization based on the domains of information and task specificity. We conducted a coordinate-based meta-analysis of 27 experiments that used analogical reasoning tasks. The left rostrolateral prefrontal cortex was one of the regions most consistently activated across the studies. A comparison between semantic and visuospatial analogy tasks showed both domain-oriented regions in the inferior and middle frontal gyri and a domain-general region, the left rostrolateral prefrontal cortex, which was specialized for analogy tasks. A comparison of visuospatial analogy to matrix problem tasks revealed that these two relational reasoning tasks engage, at least in part, distinct right and left cerebral networks, particularly separate areas within the left rostrolateral prefrontal cortex. These findings highlight several cognitive and cerebral differences between relational reasoning tasks that can allow us to make predictions about the respective roles of distinct brain regions or networks. These results also provide new, testable anatomical hypotheses about reasoning disorders that are induced by brain damage. Hum Brain Mapp 37:1953-1969, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

Brain MappingSemanticsBrainConcept FormationFunctional LateralityHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingProblem SolvingSpace Perceptionabstractionanalogyfunctional MRImeta-analysisneural correlatesreasoningrelational reasoningrostral prefrontal

Identifiers

PMID27012301
PMCPMC6867453
OpenAlexW2307298304

What OpenQuestion holds

Textmetadata
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.