Advances in functional and diffusion neuroimaging research into the long-term consequences of very preterm birth

Kanel, Dana; Counsell, Serena; Nosarti, Chiara

doi:10.1038/s41372-020-00865-y

Cited by 13 publications

(13 citation statements)

References 122 publications

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“…Advances in perinatal care have led to increased survival rates as well as improved prognosis for infants born extremely preterm ( Hinojosa-Rodríguez et al, 2017 ). Since many of these infants have white matter abnormalities (WMA) and subsequent neurodevelopmental concerns, there is high interest in obtaining high quality fMRI data to study brain function in this population ( Kanel et al, 2021 , Ment and Vohr, 2008 , Smyser et al, 2010 ). Many studies have successfully scanned preterm infants for research (reviewed in Brady et al, 2021 ; Smyser et al, 2012 ; Uchitel et al, 2021 ) and clinical purposes ( Ibrahim et al, 2014 , Templeton et al, 2020 , Woodward et al, 2006 ).…”

Section: Discussionmentioning

confidence: 99%

Real-time motion monitoring improves functional MRI data quality in infants

D’Andrea

Kenley

Montez

et al. 2022

Developmental Cognitive Neuroscience

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Section: Discussionmentioning

confidence: 99%

Real-time motion monitoring improves functional MRI data quality in infants

D’Andrea

Kenley

Montez

et al. 2022

Developmental Cognitive Neuroscience

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“…In the future, interest will shift from single brain regions to a comprehensive mapping of whole brain connectivity. Combining both functional and structural neuroimaging using novel techniques that allow better identification of multiple crossing fibres, for example, and having larger cohorts with longitudinal follow-up may increase our understanding of the long-term neurodevelopmental sequelae of very preterm birth [44].…”

Section: Discussionmentioning

confidence: 99%

Microstructural alterations in association tracts and language abilities in schoolchildren born very preterm and with poor fetal growth

et al. 2022

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Background Prematurity and perinatal risk factors may influence white matter microstructure. In turn, these maturational changes may influence language development in this high-risk population of children. Objective To evaluate differences in the microstructure of association tracts between preterm and term children and between preterm children with appropriate growth and those with fetal growth restriction and to study whether the diffusion tensor metrics of these tracts correlate with language abilities in schoolchildren with no severe neurological impairment. Materials and methods This study prospectively followed 56 very preterm children (mean gestational age: 28.7 weeks) and 21 age- and gender-matched term children who underwent diffusion tensor imaging at a mean age of 9 years. We used automated probabilistic tractography and measured fractional anisotropy in seven bilateral association tracts known to belong to the white matter language network. Both groups participated in language assessment using five standardised tests at the same age. Results Preterm children had lower fractional anisotropy in the right superior longitudinal fasciculus 1 compared to term children (P < 0.05). Preterm children with fetal growth restriction had lower fractional anisotropy in the left inferior longitudinal fasciculus compared to preterm children with appropriate fetal growth (P < 0.05). Fractional anisotropy in three dorsal tracts and in two dorsal and one ventral tract had a positive correlation with language assessments among preterm children and preterm children with fetal growth restriction, respectively (P < 0.05). Conclusion There were some microstructural differences in language-related tracts between preterm and term children and between preterm children with appropriate and those with restricted fetal growth. Children with better language abilities had a higher fractional anisotropy in distinct white matter tracts.

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“…Advances in perinatal care have led to increased survival rates as well as improved prognosis for infants born extremely preterm (Hinojosa-Rodríguez et al, 2017). Since many of these infants have diffuse white matter abnormalities (WMA) and subsequent neurodevelopmental irregularities, there is increased interest in obtaining high quality fMRI data to study brain function in this population (Kanel et al, 2021;Ment & Vohr, 2008;Smyser et al, 2010). Many studies have successfully scanned preterm infants for research (Brady et al, 2021;Smyser et al, 2012;Uchitel et al, 2021) and clinical purposes (Ibrahim et al, 2014;Templeton et al, 2020;Woodward et al, 2006).…”

Section: Discussionmentioning

confidence: 99%

Real-time motion monitoring improves functional MRI data quality in infants

D’Andrea

Kenley

Montez

et al. 2021

Preprint

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Imaging the infant brain with MRI has improved our understanding of early stages of neurodevelopment. However, head motion during MRI acquisition is detrimental to both functional and structural MRI scan quality. Though infants are commonly scanned while asleep, they commonly exhibit motion during scanning, causing data loss. Our group has shown that providing MRI technicians with real-time motion estimates via Framewise Integrated Real-Time MRI Monitoring (FIRMM) software helps obtain high-quality, low motion fMRI data. By estimating head motion in real time and displaying motion metrics to the MR technician during an fMRI scan, FIRMM can improve scanning efficiency. Hence, we compared average framewise displacement (FD), a proxy for head motion, and the amount of usable fMRI data (FD ≤ 0.2mm) in infants scanned with (n = 407) and without FIRMM (n = 295). Using a mixed-effects model, we found that the addition of FIRMM to current state-of-the-art infant scanning protocols significantly increased the amount of usable fMRI data acquired per infant, demonstrating its value for research and clinical infant neuroimaging.

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Advances in functional and diffusion neuroimaging research into the long-term consequences of very preterm birth

Cited by 13 publications

References 122 publications

Real-time motion monitoring improves functional MRI data quality in infants

Real-time motion monitoring improves functional MRI data quality in infants

Microstructural alterations in association tracts and language abilities in schoolchildren born very preterm and with poor fetal growth

Real-time motion monitoring improves functional MRI data quality in infants

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