ArticleBrain structure & function2018
High thickness histological sections as alternative to study the three-dimensional microscopic human sub-cortical neuroanatomy.
Article in Brain structure & function, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- MatchingFrontiers in neuroanatomy · 2019Pooled it
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- A roadmap towards standardized neuroimaging approaches for human thalamic nuclei.Nature reviews. Neuroscience · 2024Review
- Mixed methodology in human brain research: integrating MRI and histology.Brain structure & function · 2023Review
- Preparation of large biological samples for high-resolution, hierarchical, synchrotron phase-contrast tomography with multimodal imaging compatibility.Nature protocols · 2023Review
- A unified 3D map of microscopic architecture and MRI of the human brain.Science advances · 2022Article
- Use of computational fluid dynamics for 3D fiber tract visualization on human high-thickness histological slices: histological mesh tractography.Brain structure & function · 2021Article
- Use of computational fluid dynamics for 3D fiber tract visualization on human high-thickness histological slices: histological mesh tractography.Brain structure & function · 2021Article
- Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration.Applied sciences (Basel, Switzerland) · 2021Article
- A multimodal computational pipeline for 3D histology of the human brain.Scientific reports · 2020Article
- 7 Tesla MRI Followed by Histological 3D Reconstructions in Whole-Brain Specimens.Frontiers in neuroanatomy · 2020Article
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Corrections and comments
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Authors and funding
12 authors at 2 institutions in 3 countries.
Funding
Abstract
Stereotaxy is based on the precise image-guided spatial localization of targets within the human brain. Even with the recent advances in MRI technology, histological examination renders different (and complementary) information of the nervous tissue. Although several maps have been selected as a basis for correlating imaging results with the anatomical locations of sub-cortical structures, technical limitations interfere in a point-to-point correlation between imaging and anatomy due to the lack of precise correction for post-mortem tissue deformations caused by tissue fixation and processing. We present an alternative method to parcellate human brain cytoarchitectural regions, minimizing deformations caused by post-mortem and tissue-processing artifacts and enhancing segmentation by means of modified high thickness histological techniques and registration with MRI of the same specimen and into MNI space (ICBM152). A three-dimensional (3D) histological atlas of the human thalamus, basal ganglia, and basal forebrain cholinergic system is displayed. Structure's segmentations were performed in high-resolution dark-field and light-field microscopy. Bidimensional non-linear registration of the histological slices was followed by 3D registration with in situ MRI of the same subject. Manual and automated registration procedures were adopted and compared. To evaluate the quality of the registration procedures, Dice similarity coefficient and normalized weighted spectral distance were calculated and the results indicate good overlap between registered volumes and a small shape difference between them in both manual and automated registration methods. High thickness high-resolution histological slices in combination with registration to in situ MRI of the same subject provide an effective alternative method to study nuclear boundaries in the human brain, enhancing segmentation and demanding less resources and time for tissue processing than traditional methods.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.