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The growing number of neuroimaging studies of cynomolgus macaques require extending existing templates to facilitate species-specific application of voxel-wise neuroimaging methodologies. This study aimed to create population-averaged structural magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) templates for the cynomolgus macaques and apply the templates in fully automated voxel-wise analyses. We presented the development of symmetric and asymmetric MRI and DTI templates from a sample of 63 young male cynomolgus monkeys with the use of optimized template creation approaches. We also generated the associated average tissue probability maps and Diffeomorphic Anatomical Registration using Exponentiated Lie Algebra templates for use with the Statistical Parametric Mapping (SPM), as well as the average fractional anisotropy/skeleton targets for incorporation into tract-based spatial statistics (TBSS) framework. Both asymmetric and symmetric templates in a standardized coordinate space demonstrated low bias and high contrast. Fully automated processing using SPM was accomplished for all native MRI datasets and demonstrated outstanding performance regarding skull-stripping, segmentation, and normalization when using the MRI templates. Automated normalization to the DTI template was excellently achieved for all native DTI images using the TBSS pipeline. The cynomolgus MRI and DTI templates are anticipated to provide a common platform for precise single-subject data analysis and facilitate comparison of neuroimaging findings in cynomolgus monkeys across studies and sites. It is also hoped that the procedures of template creation and fully-automated voxel-wise frameworks will provide a straightforward avenue for investigating brain function, development, and neuro-psychopathological disorders in non-human primate models.
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http://dx.doi.org/10.1007/s12021-021-09545-4 | DOI Listing |
J Neuroimaging
September 2025
Jefferson Headache Center, Department of Neurology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Background And Purpose: Diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) has emerged as a promising noninvasive method for evaluating water motion that may reflect glymphatic system function. However, the reliability of DTI-ALPS measurements across different region-of-interest (ROI) selection methods remains underinvestigated. This study aimed to assess the interrater reliability among three neuroradiologists in native space and compare DTI-ALPS indices derived from ROIs placed in subjects' native space versus standardized Montreal Neurological Institute (MNI) space.
View Article and Find Full Text PDFImaging Neurosci (Camb)
November 2024
Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Anatomical magnetic resonance imaging (MRI) templates of the brain are essentialto group-level analyses and image processing pipelines, as they provide areference space for spatial normalisation. While it has become common forstudies to acquire multimodal MRI data, many templates are still limited to onetype of modality, usually either scalar or tensor based. Aligning each modalityin isolation does not take full advantage of the available complementaryinformation, such as strong contrast between tissue types in structural images,or axonal organisation in the white matter in diffusion tensor images.
View Article and Find Full Text PDFAlzheimers Dement
August 2025
Waisman Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Introduction: Adults with Down syndrome (DS) accumulate amyloid beta (Aβ) plaques faster and earlier on average than neurotypical adults with sporadic Alzheimer's disease (AD). White matter (WM) microstructure characterized with diffusion tensor imaging (DTI) can indicate underlying architectural changes in longitudinal studies, suggestive of neurodegeneration. This study investigated relationships between DTI and Aβ in DS along the AD continuum.
View Article and Find Full Text PDFUltrasound Obstet Gynecol
August 2025
Plateforme LUMIERE, URP FETUS 7328, Fédération pour la Recherche en Explorations et Thérapeutiques Innovantes In Utero, Equipe Associée à l'Institut IMAGINE, Université Paris Cité, Paris, France.
Objective: Diffusion tensor imaging (DTI) of the fetal brain can generate unique quantitative data that reflect both tissue integrity and the level of myelination in the developing brain. The objective of this study was to quantify normal fetal brain metrics from 21 to 36 weeks' gestation using DTI in a cohort of healthy fetuses, using the latest techniques designed to minimize artifacts from movement and those inherent to magnetic resonance imaging (MRI) acquisition.
Methods: We conducted a prospective study between June 2021 and June 2022 of pregnant volunteers with no known fetal anomalies, between 21 and 36 weeks' gestation.
PLoS One
June 2025
Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia, United States of America.
Registering infant brain images is challenging, as the infant brain undergoes rapid changes in size, shape and tissue contrast in the first months of life. Diffusion tensor images (DTI) have relatively consistent tissue properties over the course of infancy compared to commonly used T1 or T2-weighted images, presenting great potential for infant brain registration. Moreover, groupwise registration using intermediate templates can reduce deformation and bias introduced by predefined atlases, but most methods use scalar (e.
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