Evidence map›Paper›PMID 36478489›Full record

ArticleHuman brain mapping2023

Structural brain network lateralization across childhood and adolescence.

Brandon T Craig, Bryce Geeraert, Eli Kinney-Lang, Alicia J Hilderley, Keith O Yeates, Adam Kirton, Melanie Noel, Frank P MacMaster, Signe Bray, Karen M Barlow and 3 more

Abstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Brandon T CraigUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.ORCID 0000-0003-1222-1284
Bryce GeeraertUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Eli Kinney-LangUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Alicia J HilderleyUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Keith O YeatesUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Adam KirtonUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Melanie NoelUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Frank P MacMasterUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Signe BrayUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Karen M BarlowUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Brian L BrooksUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.
Catherine LebelUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.ORCID 0000-0002-0344-4032
Helen L CarlsonUniversity of Calgary, Alberta Children's Hospital Research Institute, Calgary, Alberta, Canada.ORCID 0000-0002-5788-0542

Funding

CIHR
6 · The paper itself

Abstract

Developmental lateralization of brain function is imperative for behavioral specialization, yet few studies have investigated differences between hemispheres in structural connectivity patterns, especially over the course of development. The present study compares the lateralization of structural connectivity patterns, or topology, across children, adolescents, and young adults. We applied a graph theory approach to quantify key topological metrics in each hemisphere including efficiency of information transfer between regions (global efficiency), clustering of connections between regions (clustering coefficient [CC]), presence of hub-nodes (betweenness centrality [BC]), and connectivity between nodes of high and low complexity (hierarchical complexity [HC]) and investigated changes in these metrics during development. Further, we investigated BC and CC in seven functionally defined networks. Our cross-sectional study consisted of 211 participants between the ages of 6 and 21 years with 93% being right-handed and 51% female. Global efficiency, HC, and CC demonstrated a leftward lateralization, compared to a rightward lateralization of BC. The sensorimotor, default mode, salience, and language networks showed a leftward asymmetry of CC. BC was only lateralized in the salience (right lateralized) and dorsal attention (left lateralized) networks. Only a small number of metrics were associated with age, suggesting that topological organization may stay relatively constant throughout school-age development, despite known underlying changes in white matter properties. Unlike many other imaging biomarkers of brain development, our study suggests topological lateralization is consistent across age, highlighting potential nonlinear mechanisms underlying developmental specialization.

Indexed as

BrainWhite MatterAdolescentAdultBrain MappingChildCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleYoung Adultlateralizationstructural connectometypical brain development

Identifiers

PMID36478489
PMCPMC9921220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.