Evidence map›Paper›PMID 29575246›Full record

SynthesisHuman brain mapping2018

Semantically defined subdomains of functional neuroimaging literature and their corresponding brain regions.

Fahd H Alhazmi, Derek Beaton, Hervé Abdi

Abstract readMeta-Analysis
In one paragraph

Synthesis in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Fahd H AlhazmiSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, MS: GR4.1, 800 West Campbell Rd, Richardson, Texas, 75080.
Derek BeatonRotman Research Institute, Baycrest Health Sciences, 3560 Bathurst Street, Toronto, Ontario, M6A 2E1, Canada.ORCID 0000-0001-6118-4366
Hervé AbdiSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, MS: GR4.1, 800 West Campbell Rd, Richardson, Texas, 75080.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional neuroimaging literature has become increasingly complex and thus difficult to navigate. This complexity arises from the rate at which new studies are published and from the terminology that varies widely from study-to-study and even more so from discipline-to-discipline. One way to investigate and manage this problem is to build a "semantic space" that maps the different vocabulary used in functional neuroimaging literature. Such a semantic space will also help identify the primary research domains of neuroimaging and their most commonly reported brain regions. In this work, we analyzed the multivariate semantic structure of abstracts in Neurosynth and found that there are six primary domains of the functional neuroimaging literature, each with their own preferred reported brain regions. Our analyses also highlight possible semantic sources of reported brain regions within and across domains because some research topics (e.g., memory disorders, substance use disorder) use heterogeneous terminology. Furthermore, we highlight the growth and decline of the primary domains over time. Finally, we note that our techniques and results form the basis of a "recommendation engine" that could help readers better navigate the neuroimaging literature.

Indexed as

BibliometricsBrainData MiningFunctional NeuroimagingTerminology as TopicHumansSemanticscorrespondence analysismeta-analysismultivariateNeurosynthrecommendation enginesemantic analysis

Identifiers

PMID29575246
PMCPMC6866474

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.