Brain structure and neurological and behavioural functioning in infants born preterm

Kelly, Claire E.; Thompson, Deanne K.; Cheong, Jeanie L.Y.; Chen, Jian; Olsen, Joy E.; Eeles, Abbey L; Walsh, Jennifer; Seal, Marc L.; Anderson, Peter J.; Doyle, Lex W.; Spittle, Alicia J

doi:10.1111/dmcn.14084

Cited by 27 publications

(20 citation statements)

References 44 publications

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“…These 11 studies included DTI data from 554 very preterm, 575 moderate-late preterm, and 318 full-term neonates (2 studies used the same cohort of infants). [18][19][20][21][22][23][24][25][26][27][28] These studies all met the guidelines outlined in the Strengthening the Reporting of Observational Studies in Epidemiology statement regarding quality and bias (Table II; available at www.jpeds.com). 17 Overall, all preterm subgroups showed atypical brain microstructure at term-equivalent age when compared with a full-term group.…”

Section: Resultsmentioning

confidence: 99%

“…24 The estimates of the percentage of the white matter skeleton with a lowered fractional anisotropy ranged between one-third, approximately 59%,and approximately 45%-67%. 24,26,27 The very preterm group seems to show myelogenesis, which is lagging behind the moderate-late preterm group at term-equivalent age, with early myelinating regions suffering the greatest adverse effects. This finding is demonstrated by lower fractional anisotropy and higher radial diffusivity in the very preterm group compared with the moderate-late preterm group.…”

Section: Resultsmentioning

confidence: 99%

“…Characteristics Item no, Brossard-Racine et al 18 Thompson et al 19 Pannek et al 20 Pogribna et al 21 Rose et al 22 Kaur et al 23 Kelly et al 24 Knight et al 25 Thompson et al 26 Kelly et al 27…”

Section: Dissecting Down Microform Cleft Lipmentioning

confidence: 99%

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Diffusion Tensor Imaging in Very Preterm, Moderate-Late Preterm and Term-Born Neonates: A Systematic Review

Dibble

Ang

Mariga

et al. 2021

The Journal of Pediatrics

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Objective To examine white matter abnormalities, measured by diffusion tensor imaging, in very preterm (<32 weeks) and moderate-late preterm neonates (32-37 weeks) at term-equivalent age, compared with healthy full-term controls (³37 weeks).Study design A search of Medline (PubMed) was conducted to identify studies with diffusion data collected on very preterm, moderate-late preterm and full-term neonates, using the guidelines from the Meta-analysis of Observational Studies in Epidemiology and PRISMA statements.Results Eleven studies were included with diffusion tensor imaging data from 554 very preterm, 575 moderate-late preterm, and 318 full-term neonates. Widespread statistically significant diffusion measures were found in all preterm subgroups at term-equivalent age compared with full-term neonates, and this difference was more marked for the very preterm group. These abnormalities are suggestive of changes in the white matter microstructure in the preterm groups. The corpus callosum was a region of interest in both early and moderate-late preterm groups, which showed statistically significant diffusion measures in all 11 studies.Conclusions Microstructural white matter changes may underpin the increased risk of neurodevelopmental disability seen in preterm infants in later life. diffusion tensor imaging may therefore be a useful prognostic tool for neuro-disability in preterm neonates.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Diffusion Tensor Imaging in Very Preterm, Moderate-Late Preterm and Term-Born Neonates: A Systematic Review

Dibble

Ang

Mariga

et al. 2021

The Journal of Pediatrics

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“…However, if we consider the week of gestation apart from the division before or after the 37th week of gestation, we observed that only a few features depended on the week of gestation such as cost of attention; quality of alertness; peak of excitement; and reaction to sensory input, such as response decrement to tactile stimulation of foot and animate visual and auditory response (Table 2). According to Kelly (2019), neurobehavior in regard to brain structure-function associations generally does not differ between very and moderate-late preterm neonates [22]. Thus, we did not compare our results in the subgroups, in reference to week of gestation.…”

Section: Discussionmentioning

confidence: 86%

Application of the Neonatal Behavioral Assessment Scale to Evaluate the Neurobehavior of Preterm Neonates

et al. 2021

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Background: The neonatal behavioral assessment scale (NBAS) was primarily developed to aid in the assessment of full-term neonates. The aim of this study was to detect if the NBAS was also valuable in the assessment of preterm neonates. Materials and Methods: We assessed 112 infants at a neonatal unit using the NBAS, 4th edition. The inclusion criteria included an oxygen saturation level between 88–95% and a heartrate of 100–205 beats per minute. Infant neurobehavior was assessed using the NBAS. Results: For full-term and preterm neonates, we observed that the NBAS enabled us to assess both groups of infants and gave relevant information pertaining to them. We found a significant correlation between the average week of gestation and response to touch, sensory input, peak of excitement, cost of attention, hand-to-mouth, and quality of alertness. Conclusions: The NBAS is a valuable scale for evaluating the neurobehavior of preterm neonates. The week of gestation at birth affects certain aspects of neurobehavior, such as response to sensory input, putting hand to mouth, peak of excitement, and cost of attention. The NBAS as an individually structured assessment may help in planning for early rehabilitation and intervention for this vulnerable population.

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“…Besides the studies above which focused on the functional perspective, tractography has also been successfully adopted in neonates to delineate major white matter tracts including the corticospinal tracts and corpus callosum (Berman et al, 2005;Aeby et al, 2009;Bassi et al, 2011;Hasegawa et al, 2011;Thompson et al, 2011). Furthermore, white matter microstructural alterations may be associated with suboptimal neurologics in certain domains at term-equivalent age (TEA) in infants born preterm (Kelly et al, 2019). However, existing studies merely focused on one single perspective (structural or functional) while the joint analysis of both functional and structural characteristics between preterm and term infant brains is very scarce.…”

Section: Introductionmentioning

confidence: 99%

Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection

Zhang

et al. 2021

Front. Neurosci.

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Preterm is a worldwide problem that affects infants’ lives significantly. Moreover, the early impairment is more than limited to isolated brain regions but also to global and profound negative outcomes later, such as cognitive disorder. Therefore, seeking the differences of brain connectome between preterm and term infant brains is a vital step for understanding the developmental impairment caused by preterm. Existing studies revealed that studying the relationship between brain function and structure, and further investigating their differentiable connectomes between preterm and term infant brains is a way to comprehend and unveil the differences that occur in the preterm infant brains. Therefore, in this article, we proposed a novel canonical correlation analysis (CCA) with locality preserving projection (LPP) approach to investigate the relationship between brain functional and structural connectomes and how such a relationship differs between preterm and term infant brains. CCA is proposed to study the relationship between functional and structural connections, while LPP is adopted to identify the distinguishing features from the connections which can differentiate the preterm and term brains. After investigating the whole brain connections on a fine-scale connectome approach, we successfully identified 89 functional and 97 structural connections, which mostly contributed to differentiate preterm and term infant brains from the functional MRI (fMRI) and diffusion MRI (dMRI) of the public developing Human Connectome Project (dHCP) dataset. By further exploring those identified connections, the results innovatively revealed that the identified functional connections are short-range and within the functional network. On the contrary, the identified structural connections are usually remote connections across different functional networks. In addition, these connectome-level results show the new insights that longitudinal functional changes could deviate from longitudinal structural changes in the preterm infant brains, which help us better understand the brain-behavior changes in preterm infant brains.

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Brain structure and neurological and behavioural functioning in infants born preterm

Cited by 27 publications

References 44 publications

Diffusion Tensor Imaging in Very Preterm, Moderate-Late Preterm and Term-Born Neonates: A Systematic Review

Diffusion Tensor Imaging in Very Preterm, Moderate-Late Preterm and Term-Born Neonates: A Systematic Review

Application of the Neonatal Behavioral Assessment Scale to Evaluate the Neurobehavior of Preterm Neonates

Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection

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