Multimodal Connectivity-Based Individual Parcellation and Analysis for Humans and Rhesus Monkeys DOI
Yue Cui, Chengyi Li, Yuheng Lu

и другие.

IEEE Transactions on Medical Imaging, Год журнала: 2024, Номер 43(9), С. 3343 - 3353

Опубликована: Апрель 24, 2024

Individual brains vary greatly in morphology, connectivity and organization. Individualized brain parcellation is capable of precisely localizing subject-specific functional regions. However, most individualization approaches have examined single modalities data not generalized to nonhuman primates. The present study proposed a novel multimodal connectivity-based individual (MCIP) method, which optimizes within-region homogeneity, spatial continuity similarity reference atlas with the fusion personal anatomical connectivity. Comprehensive evaluation demonstrated that MCIP outperformed state-of-the-art methods terms predictability cognitive measures, heritability, reproducibility generalizability across species. Comparative investigation showed higher topographic variability humans than macaques. Therefore, provides improved accurate reliable mapping regions over existing at an level species, could facilitate comparative translational neuroscience research.

Язык: Английский

Charting Cortical-Layer Specific Area Boundaries Using Gibbs Ringing Attenuated T1w/T2w-FLAIR Myelin MRI DOI Creative Commons
Joonas A. Autio, Akiko Uematsu, Takuro Ikeda

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Сен. 28, 2024

Abstract Cortical areas have traditionally been defined by their distinctive layer cyto- and/or myelo- architecture using postmortem histology. Recent studies delineated many measuring overall cortical myelin content and its spatial gradients the T1w/T2w ratio MRI in living primates, including humans. While of areal transitions might benefit from profile this myelin-related contrast, a significant confound is Gibbs’ ringing artefact, which produces signal fluctuations resembling layers. Here, we address these issues with novel approach thickness-adjusted T1w/T2w-FLAIR imaging, effectively cancels out artefacts while enhancing intra-cortical contrast. Whole-brain measures were mapped onto twelve equivolumetric layers, layer-specific sharp myeloarchitectonic identified resulting putative 182 area/subarea partition macaque cerebral cortex. The maps exhibit notably high homology those humans, suggesting shares similar developmental program across species. Comparison histological Gallyas stains explains over 80% variance laminar profiles, substantiating validity method. Altogether, our provides novel, noninvasive means for precision mapping myeloarchitecture primate cortex, advancing pioneering work classical neuroanatomists.

Язык: Английский

Процитировано

5

Callosal Fiber Length Scales with Brain Size According to Functional Lateralization, Evolution, and Development DOI Creative Commons
Liyuan Yang, Chenxi Zhao,

Yirong Xiong

и другие.

Journal of Neuroscience, Год журнала: 2022, Номер 42(17), С. 3599 - 3610

Опубликована: Март 24, 2022

Brain size significantly impacts the organization of white matter fibers. Fiber length scaling, degree to which fiber varies according brain size, was overlooked. We investigated how lengths within corpus callosum, most prominent tract, vary size. The results showed substantial variation in scaling among callosal fibers, replicated two large healthy cohorts (∼2000 human subjects, including both sexes). underscaled fibers mainly connected precentral gyrus and parietal cortices, whereas overscaled prefrontal cortices. such biologically meaningful: larger corresponded neurite density index but smaller fractional anisotropy values; cortical regions by with were more lateralized functionally as well phylogenetically ontogenetically recent than their counterparts. These findings highlight an interaction between interhemispheric communication organizational adaptive principles underlying development evolution. SIGNIFICANCE STATEMENT across evolution, development, individuals. Relative small brains, neural brains is inevitably increased, increase may differ tracts. Such a difference, if it exists, valuable for understanding versus during evolution development. present study difference that connect hemispheres, cohorts. Together, our demonstrates reorganization intrinsically related composition, functional lateralization, myelin content, evolutionary developmental expansion.

Язык: Английский

Процитировано

19

Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain DOI Creative Commons
Takayuki Ose, Joonas A. Autio, Masahiro Ohno

и другие.

NeuroImage, Год журнала: 2022, Номер 250, С. 118965 - 118965

Опубликована: Фев. 2, 2022

Localising accurate brain regions needs careful evaluation in each experimental species due to their individual variability. However, the function and connectivity of areas is commonly studied using a single-subject cranial landmark-based stereotactic atlas animal neuroscience. Here, we address this issue small primate, common marmoset, which increasingly widely used systems We developed non-invasive multi-modal neuroimaging-based targeting pipeline, accounts for intersubject anatomical variability cortical landmarks marmosets. This methodology allowed creation templates (MarmosetRIKEN20) including head CT MR images, embedded coordinate anterior posterior commissures (AC-PC) CIFTI grayordinates. found that horizontal plane was significantly rotated pitch relative AC-PC system (10 degrees, frontal downwards), had significant bias uncertainty positioning procedures. also many (e.g., bregma, intraparietal sulcus) vary location across subjects are substantial average marmoset area dimensions. Combining pipeline with robot-guided surgery enabled proof-of-concept deep structures an accuracy 0.2 mm. Altogether, our findings demonstrate landmarks, implying subject-specific localization needed precision The population-based atlases grayordinates, created first time monkeys, should help bridging between macroscale microscale analyses.

Язык: Английский

Процитировано

17

MEBRAINS 1.0: A new population-based macaque atlas DOI Creative Commons
Puiu F. Balan, Qi Zhu, Xiaolian Li

и другие.

Imaging Neuroscience, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

Abstract Due to their fundamental relevance, the number of anatomical macaque brain templates is constantly growing. Novel aim alleviate limitations previously published atlases and offer foundation integrate multiscale multimodal data. Typical existing include reliance on one subject, unimodality (usually only T1 or histological images), lack details. The MEBRAINS template overcomes these by using a combination T2 images, from same 10 animals (Macaca mulatta), which are averaged multi-brain toolbox for diffeomorphic registration segmentation. resulting volumetric supplemented with high quality white gray matter surfaces built FreeSurfer. Human-curated segmentations pial surface, white/gray interface major subcortical nuclei were used analyse relative template. Additionally, 9 CT scans monkeys registered modality co-registered Through its main features (multi-subject, multi-modal, volume-and-surface, traditional deep learning-based segmentations), aims improve integration multi-modal multi-scale data quantitatively equal to, better than, currently widely templates. We provide detailed description algorithms/methods create aiming furnish future researchers map-like perspective should facilitate identification an optimal pipeline task they have at hand. Finally, recently 3D maps inferior parietal lobe, (pre)motor prefrontal cortex warped surface template, thus populating it parcellation scheme based cyto- receptor architectonic analyses. integrated in EBRAINS Scalable Brain Atlas web-based infrastructures, each comes own suite spatial tools.

Язык: Английский

Процитировано

4

Multimodal Connectivity-Based Individual Parcellation and Analysis for Humans and Rhesus Monkeys DOI
Yue Cui, Chengyi Li, Yuheng Lu

и другие.

IEEE Transactions on Medical Imaging, Год журнала: 2024, Номер 43(9), С. 3343 - 3353

Опубликована: Апрель 24, 2024

Individual brains vary greatly in morphology, connectivity and organization. Individualized brain parcellation is capable of precisely localizing subject-specific functional regions. However, most individualization approaches have examined single modalities data not generalized to nonhuman primates. The present study proposed a novel multimodal connectivity-based individual (MCIP) method, which optimizes within-region homogeneity, spatial continuity similarity reference atlas with the fusion personal anatomical connectivity. Comprehensive evaluation demonstrated that MCIP outperformed state-of-the-art methods terms predictability cognitive measures, heritability, reproducibility generalizability across species. Comparative investigation showed higher topographic variability humans than macaques. Therefore, provides improved accurate reliable mapping regions over existing at an level species, could facilitate comparative translational neuroscience research.

Язык: Английский

Процитировано

4