Shape variability of the central sulcus in the developing brain: A longitudinal descriptive and predictive study in preterm infants

Vareilles, Héloïse de; Rivière, Denis; Sun, Zhongyi; Fischer, Clara; Leroy, F.; Neumane, Sara; Stopar, Nusa; Eijsermans, Rian; Ballu, Marin; Tataranno, Ml; Benders, Mjnl; Mangin, J.-F.; Dubois, Jessica

doi:10.1016/j.neuroimage.2021.118837

Cited by 17 publications

(9 citation statements)

References 58 publications

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“…Primates are altricial animals, experiencing a significant postnatal brain growth spurt. Therefore, variations in environmental factors such as maternal care, food, and environmental stimuli can induce a wide range of phenotypes, reflecting on the development of the size and shape of the skull ( Ikonomidou et al, 2001 ; De Vareilles et al, 2022 ) (see Table 6 ; Figure 8 ). Thus, the use of MRI for targeting significantly improves surgical accuracy as it addresses the issue of intraspecies variability in brain structure.…”

Section: Discussionmentioning

confidence: 99%

From imaging to precision: low cost and accurate determination of stereotactic coordinates for brain surgery Sapajus apella using MRI

Pedrosa,

Leal,

Muniz

et al. 2024

Front. Neurosci.

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The capuchin monkey (Sapajus apella), a New World monkey species, exhibits prominent characteristics that make it an ideal model for neuroscience research. These characteristics include its phylogenetic traits, telencephalization coefficient, anatomical structures and pathways, genetic profile, immune responses, cognitive abilities, and complex behavioral repertoires. Traditionally, methodologies for stereotactic neurosurgery in research models have relied on the use of brain atlases. However, this approach can lead to errors due to the considerable variation in brain size and shape among individual monkeys. To address this issue, we developed a protocol for deriving individual coordinates for each monkey using a straightforward and relatively inexpensive method involving MRI imaging. Our protocol utilizes a specially designed, 3D-printed stereotactic head-holder that is safe to use with an MR magnet, non-invasive placement of fiducial markers, and post-processing with open-source software. This approach enhances MRI data visualization, improves anatomical targeting, and refines the design of neurosurgical experiments. Our technique could also prove beneficial in other areas of neuroscience research that require accurate calculation of stereotaxic coordinates. Furthermore, it could be useful for other nonhuman primate species for which brain atlases are typically unavailable.

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Section: Discussionmentioning

confidence: 99%

From imaging to precision: low cost and accurate determination of stereotactic coordinates for brain surgery Sapajus apella using MRI

Pedrosa,

Leal,

Muniz

et al. 2024

Front. Neurosci.

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“…Some structural infant atlases have been built and have been used to train a specialized recognition model in order to improve automatic sulci identification. Some studies are using these atlases and tools to help understand the brain folding process and to try to explain the variability observed at adult age ( De Vareilles et al, 2021 ).…”

Section: Use Cases and Discussionmentioning

confidence: 99%

Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy

Rivière

Leprince

Labra

et al. 2022

Front. Neuroinform.

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Brain mapping studies often need to identify brain structures or functional circuits into a set of individual brains. To this end, multiple atlases have been published to represent such structures based on different modalities, subject sets, and techniques. The mainstream approach to exploit these atlases consists in spatially deforming each individual data onto a given atlas using dense deformation fields, which supposes the existence of a continuous mapping between atlases and individuals. However, this continuity is not always verified, and this “iconic” approach has limits. We present in this study an alternative, complementary, “structural” approach, which consists in extracting structures from the individual data, and comparing them without deformation. A “structural atlas” is thus a collection of annotated individual data with a common structure nomenclature. It may be used to characterize structure shape variability across individuals or species, or to train machine learning systems. This study exhibits Anatomist, a powerful structural 3D visualization software dedicated to building, exploring, and editing structural atlases involving a large number of subjects. It has been developed primarily to decipher the cortical folding variability; cortical sulci vary enormously in both size and shape, and some may be missing or have various topologies, which makes iconic approaches inefficient to study them. We, therefore, had to build structural atlases for cortical sulci, and use them to train sulci identification algorithms. Anatomist can display multiple subject data in multiple views, supports all kinds of neuroimaging data, including compound structural object graphs, handles arbitrary coordinate transformation chains between data, and has multiple display features. It is designed as a programming library in both C++ and Python languages, and may be extended or used to build dedicated custom applications. Its generic design makes all the display and structural aspects used to explore the variability of the cortical folding pattern work in other applications, for instance, to browse axonal fiber bundles, deep nuclei, functional activations, or other kinds of cortical parcellations. Multimodal, multi-individual, or inter-species display is supported, and adaptations to large scale screen walls have been developed. These very original features make it a unique viewer for structural atlas browsing.

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“…The MRI brain images underwent preprocessing in order to reconstruct the 3D volumes of the brain as described in (Kersbergen et al, 2016, de Vareilles et al, 2022). The T2-weighted images were first of all segmented in three classes: cerebrospinal fluid, unmyelinated white matter and grey matter using supervised voxel classification (Moeskops et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Exploring the emergence of morphological asymmetries around the brain’s Sylvian fissure: a longitudinal study of shape variability in preterm infants

Vareilles

Rivière

Pascucci

et al. 2022

Preprint

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Brain folding patterns vary within the human species, but some folding properties are common across individuals, including the Sylvian fissure’s inter-hemispheric asymmetry. Contrarily to the other brain folds (sulci), the Sylvian fissure develops through the process of opercularization, with the frontal, parietal and temporal lobes growing over the insular lobe. Its asymmetry may be related to the leftward functional lateralization for language processing, but the time-course of these asymmetries’ development is still poorly understood. In this study, we investigated refined shape features of the Sylvian fissure and their longitudinal development in 71 infants born extremely preterm (mean gestational age at birth: 26.5 weeks) and imaged once before and once at term-equivalent age (TEA). We additionally assessed asymmetrical sulcal patterns at TEA in the perisylvian and inferior frontal regions, neighbor to the Sylvian fissure. While reproducing renown strong asymmetries in the Sylvian fissure, we captured an early encoding of its main asymmetrical shape features, and we observed global asymmetrical shape features representative of a more pronounced opercularization in the left-hemisphere, contrasting with the previously reported right-hemisphere advance in sulcation around birth. This added novel insights about the processes governing early-life brain folding mechanisms, potentially linked to the development of language-related capacities.Highlights-Shape features can be isolated to describe quantitatively the development of the Sylvian fissure-Strong asymmetries are encoded as soon as 30 weeks of post-menstrual age-The process of opercularization is more pronounced in the left hemisphere

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Shape variability of the central sulcus in the developing brain: A longitudinal descriptive and predictive study in preterm infants

Cited by 17 publications

References 58 publications

From imaging to precision: low cost and accurate determination of stereotactic coordinates for brain surgery Sapajus apella using MRI

From imaging to precision: low cost and accurate determination of stereotactic coordinates for brain surgery Sapajus apella using MRI

Browsing Multiple Subjects When the Atlas Adaptation Cannot Be Achieved via a Warping Strategy

Exploring the emergence of morphological asymmetries around the brain’s Sylvian fissure: a longitudinal study of shape variability in preterm infants

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