General factors of white matter microstructure from DTI and NODDI in the developing brain

Vaher, Kadi; Galdi, Paola; Cábez, Manuel Blesa; Sullivan, Gemma; Stoye, David Q; Quigley, Alan J.; Thrippleton, Michael J.; Bogaert, Debby; Cox, Simon R.; Boardman, James P.

doi:10.1016/j.neuroimage.2022.119169

Cited by 18 publications

(20 citation statements)

References 61 publications

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“…Recent studies about prematurity applied this method to examine white and gray matter microstructure (Bastiani et al, 2019;Eaton-Rosen et al, 2015;Kelly et al, 2022;Kline et al, 2022;Pecheva et al, 2018;Wang et al, 2022). Thereby, NODDI metrics can be used complementary to the MD and FA metrics (Vaher et al, 2022).…”

Section: Linking Altered Claustrum Structure and Structural Relations...mentioning

confidence: 99%

Aberrant claustrum structure in preterm-born neonates: an MRI study

Neubauer

Menegaux

Wendt

et al. 2023

NeuroImage: Clinical

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Section: Linking Altered Claustrum Structure and Structural Relations...mentioning

confidence: 99%

Aberrant claustrum structure in preterm-born neonates: an MRI study

Neubauer

Menegaux

Wendt

et al. 2023

NeuroImage: Clinical

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“…Sixteen WM tracts were generated in each subject's diffusion space as previously described (Vaher et al, 2022). Briefly, the tract masks were propagated from the ENA50 atlas (Blesa et al, 2020).…”

Section: White Matter Tracts Of Interestmentioning

confidence: 99%

“…The lowest values for all three MTI metrics are observed in the inferior longitudinal fasciculus. We took two complementary approaches to study the effect of GA at scan and preterm birth on the MTI metrics: voxel-wise in the WM skeleton, and ROI-based using mean values in 16 major WM tracts (Vaher et al, 2022).…”

Section: Sample Characteristicsmentioning

confidence: 99%

Characterisation of the neonatal brain using myelin-sensitive magnetisation transfer imaging

Cábez

Vaher

York³

et al. 2023

Preprint

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A cardinal feature of the encephalopathy of prematurity is injury/dysmaturation of developing white matter and subsequent hypomyelination. Magnetisation transfer imaging (MTI) offers surrogate markers for myelination including magnetisation transfer ratio (MTR) and magnetisation transfer saturation (MTsat). In this work, using data from 105 neonates, we use MTR, MTsat and approximation of R1 (R1app) to characterise myelination in the developing brain by investigating how these measures are affected by gestational age at scan and preterm birth. We explore correlations of the three measures with fractional anisotropy (FA) and T1w/T2w ratio which are commonly used markers of white matter integrity in development. We used two complementary analysis methods: voxel-wise analysis across the white matter skeleton, and tract-of-interest analysis across 16 major white matter tracts. We found that MTR, MTsat and R1app positively correlate with gestational age at scan. Preterm infants at term-equivalent age had lower values of R1app across the brain and MTsat in the genu and splenium of the corpus callosum, while MTR was higher in central white matter regions, the cortico-spinal tract and the uncinate fasciculus. Correlations of MTI metrics with FA and T1w/T2w ratio revealed that there were moderate positive correlations between T1w/T2w and MTsat and MTR at voxel-level, but at tract-level FA had stronger positive correlations with these metrics. This work demonstrates that MTI captures features consistent with lower myelination and cellular/axonal density in preterm infants at term-equivalent age compared to term controls. Furthermore, correlations between MTI-derived features and conventional measures from dMRI could provide new understanding about the contribution of myelination to non-specific imaging metrics used to characterise early brain development.HighlightsWe applied magnetisation transfer imaging (MTI) in the neonatal brainMTR, MTsat and R1app positively correlate with gestational age at scanPreterm birth associated with lower values of R1app and MTsat, and higher MTRCorrelations between MTI and other white matter integrity metrics were exploredMTI captures myelin progression and suggests lower myelination in the preterm brain

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“…Leveraging the shared variation across DTI metrics and fibre tracts may provide additional information beyond analysing each metric and fibre tract in isolation (Cox et al, 2016;Geeraert, Chamberland, Lebel, & Lebel, 2020;Vaher et al, 2022). For example, Chamberland et al (2019) used principal component analysis to identify components that explained 80% of the variation across fibre tracts and diffusion measures.…”

Section: Introductionmentioning

confidence: 99%

“…Importantly, the components loaded onto diffusion measures with shared sensitivities to specific tissue properties, demonstrating that this approach yields biologically interpretable information. Using a similar approach, Vaher et al (2022) found evidence for generalised dysmaturation in individuals who were born preterm. Interestingly, they found that while the effect of gestational age on diffusion measures was mostly shared, there was an additional independent effect on specific fibre tracts.…”

Section: Introductionmentioning

confidence: 99%

Widespread alterations of diffusion tensor imaging metrics in patients with schizophrenia without current auditory hallucinations

Nerland

Slapø

Barth

et al. 2023

Preprint

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BackgroundStudies have linked auditory hallucinations (AH) in schizophrenia-spectrum disorders (SCZ) to altered cerebral white matter microstructure within the language and auditory processing circuitry (LAPC). However, the neuroanatomical distribution and specificity to the LAPC remains unclear. Here, we investigated the relationship between AH and DTI among patients with SCZ using diffusion tensor imaging (DTI).MethodsWe included patients with SCZ with (AH+; n=59) and without (AH-; n=81) current AH, and 140 age-and-sex-matched controls. Fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were extracted from 39 fibre tracts. We used principal component analysis (PCA) to identify general factors of variation across fibre tracts and DTI metrics. Regression models adjusted for sex, age, and age2 were used to compare tract-wise DTI metrics and PCA factors between AH+, AH-, and healthy controls and to assess associations with clinical characteristics.ResultsWidespread differences relative to controls were observed for MD and RD in patients without current AH. Only limited differences in two fibre tracts were observed between AH+ and controls. Unimodal PCA factors based on MD, RD, and AD, as well as multimodal PCA factors, differed significantly relative to controls for AH-, but not AH+. We did not find any significant associations between PCA factors and clinical characteristics.ConclusionsContrary to previous studies, DTI metrics differed mainly in patientswithoutcurrent AH compared to controls, indicating a widespread neuroanatomical distribution. Our results challenge the notion that altered DTI metrics in the LAPC is a specific feature underlying AH.

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General factors of white matter microstructure from DTI and NODDI in the developing brain

Cited by 18 publications

References 61 publications

Aberrant claustrum structure in preterm-born neonates: an MRI study

Aberrant claustrum structure in preterm-born neonates: an MRI study

Characterisation of the neonatal brain using myelin-sensitive magnetisation transfer imaging

Widespread alterations of diffusion tensor imaging metrics in patients with schizophrenia without current auditory hallucinations

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