Evidence map›Paper›PMID 36344655›Full record

ArticleNature human behaviour2023

Dissociable brain structural asymmetry patterns reveal unique phenome-wide profiles.

Karin Saltoun, Ralph Adolphs, Lynn K Paul, Vaibhav Sharma, Joern Diedrichsen, B T Thomas Yeo, Danilo Bzdok

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

7 authors at 4 institutions in 3 countries.

Karin SaltounMcConnell Brain Imaging Centre, Montreal Neurological Institute (MNI), McGill University, Montreal, Quebec, Canada.ORCID http://orcid.org/0000-0003-0971-1266
Ralph AdolphsDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-8053-9692
Lynn K PaulDivision of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0002-3128-8313
Vaibhav SharmaMcConnell Brain Imaging Centre, Montreal Neurological Institute (MNI), McGill University, Montreal, Quebec, Canada.
Joern DiedrichsenThe Brain and Mind Institute, Western University, London, Ontario, Canada.
B T Thomas YeoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-0119-3276
Danilo BzdokMcConnell Brain Imaging Centre, Montreal Neurological Institute (MNI), McGill University, Montreal, Quebec, Canada. danilo.bzdok@mcgill.ca.ORCID http://orcid.org/0000-0003-3466-6620
Montreal Neurological Institute and Hospital · CACalifornia Institute of Technology · USNational University of Singapore · SGWestern University · CA

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

Broca reported ~150 years ago that particular lesions of the left hemisphere impair speech. Since then, other brain regions have been reported to show lateralized structure and function. Yet, studies of brain asymmetry have limited their focus to pairwise comparisons between homologous regions. Here, we characterized separable whole-brain asymmetry patterns in grey and white matter structure from n = 37,441 UK Biobank participants. By pooling information on left-right shifts underlying whole-brain structure, we deconvolved signatures of brain asymmetry that are spatially distributed rather than locally constrained. Classically asymmetric regions turned out to belong to more than one asymmetry pattern. Instead of a single dominant signature, we discovered complementary asymmetry patterns that contributed similarly to whole-brain asymmetry at the population level. These asymmetry patterns were associated with unique collections of phenotypes, ranging from early lifestyle factors to demographic status to mental health indicators.

Indexed as

Functional LateralityWhite MatterBrainBrain MappingHumansPhenotype

Identifiers

PMID36344655
OpenAlexW4308433535

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.