Evidence map›Paper›PMID 35396953›Full record

ArticleBrain structure & function2022

Individual variability in the nonlinear development of the corpus callosum during infancy and toddlerhood: a longitudinal MRI analysis.

Daisuke Tsuzuki, Gentaro Taga, Hama Watanabe, Fumitaka Homae

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Article in Brain structure & function, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

4 authors.

Daisuke TsuzukiDepartment of Language Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, 192-0397, Japan. tsuzukid@tmu.ac.jp.ORCID http://orcid.org/0000-0002-8504-9975
Gentaro TagaGraduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Hama WatanabeGraduate School of Education, The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan.
Fumitaka HomaeDepartment of Language Sciences, Tokyo Metropolitan University, Hachioji, Tokyo, 192-0397, Japan.

Funding

Japan Society for the Promotion of Science JP16H06524Japan Society for the Promotion of Science JP16H06525Japan Society for the Promotion of Science JP20H03557
6 · The paper itself

Abstract

The human brain spends several years bootstrapping itself through intrinsic and extrinsic modulation, thus gradually developing both spatial organization and functions. Based on previous studies on developmental patterns and inter-individual variability of the corpus callosum (CC), we hypothesized that inherent variations of CC shape among infants emerge, depending on the position within the CC, along the developmental timeline. Here we used longitudinal magnetic resonance imaging data from infancy to toddlerhood and investigated the area, thickness, and shape of the midsagittal plane of the CC by applying multilevel modeling. The shape characteristics were extracted using the Procrustes method. We found nonlinearity, region-dependency, and inter-individual variability, as well as intra-individual consistencies, in CC development. Overall, the growth rate is faster in the first year than in the second year, and the trajectory differs between infants; the direction of CC formation in individual infants was determined within six months and maintained to two years. The anterior and posterior subregions increase in area and thickness faster than other subregions. Moreover, we clarified that the growth rate of the middle part of the CC is faster in the second year than in the first year in some individuals. Since the division of regions exhibiting different tendencies coincides with previously reported divisions based on the diameter of axons that make up the region, our results suggest that subregion-dependent individual variability occurs due to the increase in the diameter of the axon caliber, myelination partly due to experience and axon elimination during the early developmental period.

Indexed as

Corpus CallosumMagnetic Resonance ImagingAxonsBrainHumansInfantCorpus callosumInfantLongitudinal studyMultilevel modelingPrincipal component analysisProcrustes analysis

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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.