Evidence map›Paper›PMID 35094022›Full record

ArticlePediatric research2022

Differential age-dependent development of inter-area brain connectivity in term and preterm neonates.

Takeshi Arimitsu, Naomi Shinohara, Yasuyo Minagawa, Eiichi Hoshino, Masahiro Hata, Takao Takahashi

Open access · hybridAbstract read
In one paragraph

Article in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  6. [Research progress on brain functional near-infrared spectroscopy technology in the field of neonates].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
  7. Article
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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

6 authors at 1 institution in 1 country.

Takeshi Arimitsu *Department of Pediatrics, Keio University School of Medicine, Shinjuku, Tokyo, 160-8582, Japan.
Naomi Shinohara *Department of Pediatrics, Keio University School of Medicine, Shinjuku, Tokyo, 160-8582, Japan.
Yasuyo MinagawaDepartment of Psychology, Faculty of Letters, Keio University, Kohoku-ku, Yokohama, 223-8521, Japan. myasuyo@bea.hi-ho.ne.jp.
Eiichi HoshinoKeio University Global Research Institute, Minato-ku, Tokyo, 108-8345, Japan.
Masahiro HataKeio University Global Research Institute, Minato-ku, Tokyo, 108-8345, Japan.
Takao TakahashiDepartment of Pediatrics, Keio University School of Medicine, Shinjuku, Tokyo, 160-8582, Japan.
Keio University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAmong preterm infants, higher morbidities of neurological disturbances and developmental delays are critical issues. Resting-state networks (RSNs) in the brain are suitable measures for assessing higher-level neurocognition. Since investigating task-related brain activity is difficult in neonates, assessment of RSNs provides invaluable insight into their neurocognitive development.

methodsThe participants, 32 term and 71 preterm neonates, were divided into three groups based on gestational age (GA) at birth. Cerebral hemodynamic activity of RSNs was measured using functional near-infrared spectroscopy in the temporal, frontal, and parietal regions.

resultsHigh-GA preterm infants (GA ≥ 30 weeks) had a significantly stronger RSN than low-GA preterm infants and term infants. Regression analyses of RSNs as a function of postnatal age (PNA) revealed a steeper regression line in the high-GA preterm and term infants than in the low-GA infants, particularly for inter-area brain connectivity between the frontal and left temporal areas.

conclusionsSlower PNA-dependent development of the frontal-temporal network found only in the low-GA group suggests that significant brain growth optimal in the intrauterine environment takes place before 30 weeks of gestation. The present study suggests a likely reason for the high incidence of neurodevelopmental impairment in early preterm infants. IMPACT: Resting-state fNIRS measurements in three neonate groups differing in gestational age (GA) showed stronger networks in the high-GA preterm infants than in the term and low-GA infants, which was partly explained by postnatal age (PNA). Regression analyses revealed a similar PNA-dependence in the development of the inter-area networks in the frontal and temporal lobes in the high-GA and term infants, and significantly slower development in the low-GA infants. These results suggest that optimal intrauterine brain growth takes place before 30 weeks of gestation. This explains one of the reasons for the high incidence of neurodevelopmental impairment in early preterm infants.

Indexed as

BrainInfant, PrematureGestational AgeHemodynamicsHumansInfantInfant, NewbornRegression Analysis

Identifiers

PMID35094022
PMCPMC9586860
OpenAlexW4210368967

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Registered trials

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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.