Poster No:
2149
Submission Type:
Abstract Submission
Authors:
Kadharbatcha Saleem1, Alexandru Avram1, Vincent Schram1, Peter Basser1
Institutions:
1Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH, Bethesda, MD 20892
First Author:
Kadharbatcha Saleem
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH
Bethesda, MD 20892
Co-Author(s):
Alexandru Avram
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH
Bethesda, MD 20892
Vincent Schram
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH
Bethesda, MD 20892
Peter Basser
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), NIH
Bethesda, MD 20892
Introduction:
Subcortical nuclei play essential roles in regulating the central and peripheral nervous systems. However, the cross-species comparison of these deep brain structures has yet to be thoroughly investigated using MRI and histology. Here, we combined multimodal MRI data and matched histology sections with multiple stains derived from the same marmoset and macaque brains to investigate if there are any MR signal intensity or neuropil staining differences in different subcortical regions between these two species ex-vivo.
Methods:
We scanned two adult perfusion-fixed marmoset brains and one macaque brain on a 7T scanner using mean apparent propagator (MAP)-MRI [1,2] with 150 μm and 200 μm resolution, respectively. We acquired 112 or 256 diffusion-weighted images with multiple b-values (bmax=10000s/mm2), diffusion gradient pulse duration δ=6 or 8 ms, and diffusion time Δ=28 or 20 ms. In each voxel, we estimated the MAP and computed microstructural diffusion tensor imaging (DTI) and MAP parameters: fractional anisotropy (FA); mean, axial, and radial diffusivities (MD, AD, and RD, respectively); propagator anisotropy (PA), return-to-origin probability (RTOP), return-to-axis probability (RTAP), return-to-plane probability (RTPP), non-gaussianity (NG), and the non-diffusion attenuated (amplitude) image, which provides a T2W contrast. We also estimated the fiber orientation distribution functions (fODFs) [3] in each voxel.
Following MRI acquisition, we prepared both brain specimens for histological processing with multiple stains [4,5]. An alternating series of 50 μm thick coronal sections were processed with AchE, Prussian blue (iron stain), and Nissl or antibodies against neurofilament protein (SMI-32), parvalbumin, NeuN, and ChAT. The high-resolution images of these stained sections were manually registered to corresponding maps of MRI volumes to allow analysis in histologically defined subcortical regions.
Results:
We found distinct MR signal intensity differences between the marmoset and macaque monkeys in some subcortical regions. For example, the subregions of the basal ganglia (pallidum and substantia nigra) and the deep cerebellar nuclei exhibited significantly more hypointense signals in the T2W images of macaque than in the marmoset (Fig. 1). The MRI studies in primates have interpreted this hypointense signal to a high level of intracellular iron deposit [6,7]. We confirmed this finding in the histology sections derived from the same macaque and marmoset brains stained with Perls Prussian blue. In the macaque, the neuropil of the basal ganglia subregions and the deep cerebellar nuclei stained intensely with Prussian blue confirm the presence of a high-level iron. The spatial location of these intensely stained regions matched well with the hypointense signal intensity found in these deep brain structures in macaque T2W images. In contrast, these subregions in the marmoset revealed very faint staining with Prussian blue, confirming a very weak iron deposit, and it corresponded well with the significantly less hypointense signal in T2W images (Fig. 1A-F).
We also found other differences in the subcortical white matter in T2W images. For example, the anterior limb of the internal capsule, cerebral peduncle, anterior commissure, and the deep cerebellar white matter exhibited more hypointense signal in the marmoset than in the macaque (Fig 2A, B). In MAP-MRI (DEC-FOD) [8], we found alternating bands of fiber bundles with different orientations in the fascia dentata (FD) of the macaque hippocampus but not in the marmoset (Fig. 2C, D). In contrast, the hippocampal CA1 of the marmoset revealed more mediolaterally oriented fibers than in the macaque (Fig. 2E).
Conclusions:
High-resolution multimodal MRI combined and correlated with histology can elucidate structures that were previously invisible radiologically and offer a roadmap toward identifying subcortical nuclei and their subregions based on differences in microstructural and chemoarchitectonic properties.
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Anatomy and Functional Systems
Subcortical Structures 1
White Matter Anatomy, Fiber Pathways and Connectivity
Novel Imaging Acquisition Methods:
Diffusion MRI
Multi-Modal Imaging 2
Keywords:
Brainstem
CHEMOARCHITECTURE
Cross-Species Homologues
Data analysis
HIGH FIELD MR
MRI
STRUCTURAL MRI
Sub-Cortical
White Matter
WHITE MATTER IMAGING - DTI, HARDI, DSI, ETC
1|2Indicates the priority used for review
Provide references using author date format
1. Özarslan E, Koay CG, Shepherd TM, Komlosh ME, İrfanoğlu MO, Pierpaoli C, Basser PJ (2013). Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure. Neuroimage 78:16-32.
2. Avram A, Sarlls JE, Barnett AS, Özarslan E, Thomas C, Irfanoglu MO, Hutchinson E, Pierpaoli C, Basser PJ (2016). Clinical feasibility of using mean apparent propagator (MAP) MRI to characterize brain tissue microstructure. Neuroimage 127:422-434.
3. Tournier JD, Calamante F, Connelly, A (2012). MRtrix: diffusion tractography in crossing fiber regions. International journal of imaging systems and technology 22:53-66.
4. Saleem KS, Avram AV, Glen D, Yen CC, Ye FQ, Komlosh M, Basser PJ (2021). High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology. Neuroimage 245:118759. https://doi.org/10.1016/j.neuroimage.2021.118759
5. Saleem KS, Avram AV, Yen CC, Magdoom KN, Schram V, Basser PJ (2023). Multimodal anatomical mapping of subcortical regions in Marmoset monkeys using high-resolution MRI and matched histology with multiple stains. http://dx.doi.org/10.1016/j.neuroimage.2023.120311
6. Bizzi A, Brooks RA, Brunetti A, Hill JM, Alger JR, Miletich RS, Francavilla TL, Di Chiro G (1990). Role of iron and ferritin in MR imaging of the brain: a study in primates at different field strengths. Radiology 177: 59-65.
7. Hardy PA, Gash D, Yokel R, Andersen A, Ai Y, Zhang Z (2005). Correlation of R2 with total iron concentration in the brains of rhesus monkeys. J Magn Reson Imaging 21: 118-127.
8. Pajevic S, Pierpaoli C (1999). Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magn Reson Med 42:526-540.