Locus Coeruleus Neuroimaging compared Voxel by Voxel to Histology‐ a postmortem human validation study

Abstract Background Neuropathological studies indicate that locus coeruleus(LC) volume decreases in Alzheimer’s disease(AD) by 8% at each stage, (from Braak 0‐1), whereas in normal aging, the LC remains unchanged. These changes make LC volumetry by neuroimaging a promising way to track AD progression even before symptoms appear. However, LC’s small size and location make it prone to imaging artifacts. To assess the accuracy of neuroimaging sequences designed for LC volumetry, we used an in‐house histological computational method to compare histology and neuroimaging on a voxel‐by‐voxel basis. Method We investigated three cases (two Braak 1s, and a Braak 5). The whole brain underwent 7T MRI postmortem, pre‐autopsy, at the University of Sao Paulo. Upon autopsy, the brains were processed at UCSF and the histological LC was 3D reconstructed. In parallel, the GRE and TFL MRI sequence LCs were segmented (Figure 1). We applied affine& spline registration to match histology to MRI‐T1 volumes (voxel size=0.75mm)(Figure 1). To measure registration accuracy, we calculated DICE coefficients using T1 visible structures (Figure 2). Next, we analyzed the percentage overlap of voxels to investigate how accurately MRI sequences detected histology LC borders. Result Overall, the DICE values for brainstem registration are high. Table 1 shows the overlapping percentages that are quite low, from 2.5%‐23%. For our Braak 1 cases, the least overlap of GRE MRI and histology LC borders is in rostral region, while in both TFL and GRE sequence for the Braak 5 case, the least LC overlap was in the caudal region (Table 1). Conclusion These results suggest that accurately detecting LC borders using MRI remains a challenging task due to small size, imaging artifacts, and neuromelanin dependency, which is low at baseline in caudal LC. However, our overlap results did match previous findings on specific regional LC volume loss seen rostrally in early AD, despite no neuronal loss, and in later stages of AD, volume loss caudally. This points to the MRI LC signal being potentially clinically useful for disease monitoring. Our study will continue to examine the MRI signal picked up in the LC across Braak as regions of LC degeneration shift compared to the histology counterpart.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.092115
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
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article

Locus Coeruleus Neuroimaging compared Voxel by Voxel to Histology‐ a postmortem human validation study

Lea T. Grinberg, Roberta Diehl Rodriguez, Shuo Huang, Song Hua Li et al.
Alzheimer s & Dementia
Advanced Neuroimaging Techniques and Applications
article

Locus Coeruleus Neuroimaging compared Voxel by Voxel to Histology‐ a postmortem human validation study

Lea T. Grinberg, Roberta Diehl Rodriguez, Shuo Huang, Song Hua Li, Tia LaMore, Luzia Lima Carreira, Wing Hung Lee, Yonggang Shi, Pedro Burlacchini Sanches Marinho, Yuheng Chen, Maria Concepción Gracía Otaduy
article en

Abstract

Abstract Background Neuropathological studies indicate that locus coeruleus(LC) volume decreases in Alzheimer’s disease(AD) by 8% at each stage, (from Braak 0‐1), whereas in normal aging, the LC remains unchanged. These changes make LC volumetry by neuroimaging a promising way to track AD progression even before symptoms appear. However, LC’s small size and location make it prone to imaging artifacts. To assess the accuracy of neuroimaging sequences designed for LC volumetry, we used an in‐house histological computational method to compare histology and neuroimaging on a voxel‐by‐voxel basis. Method We investigated three cases (two Braak 1s, and a Braak 5). The whole brain underwent 7T MRI postmortem, pre‐autopsy, at the University of Sao Paulo. Upon autopsy, the brains were processed at UCSF and the histological LC was 3D reconstructed. In parallel, the GRE and TFL MRI sequence LCs were segmented (Figure 1). We applied affine& spline registration to match histology to MRI‐T1 volumes (voxel size=0.75mm)(Figure 1). To measure registration accuracy, we calculated DICE coefficients using T1 visible structures (Figure 2). Next, we analyzed the percentage overlap of voxels to investigate how accurately MRI sequences detected histology LC borders. Result Overall, the DICE values for brainstem registration are high. Table 1 shows the overlapping percentages that are quite low, from 2.5%‐23%. For our Braak 1 cases, the least overlap of GRE MRI and histology LC borders is in rostral region, while in both TFL and GRE sequence for the Braak 5 case, the least LC overlap was in the caudal region (Table 1). Conclusion These results suggest that accurately detecting LC borders using MRI remains a challenging task due to small size, imaging artifacts, and neuromelanin dependency, which is low at baseline in caudal LC. However, our overlap results did match previous findings on specific regional LC volume loss seen rostrally in early AD, despite no neuronal loss, and in later stages of AD, volume loss caudally. This points to the MRI LC signal being potentially clinically useful for disease monitoring. Our study will continue to examine the MRI signal picked up in the LC across Braak as regions of LC degeneration shift compared to the histology counterpart.

Alzheimer s & DementiaVol. 20(S2)
University of Southern California (US), Universidade de São Paulo (BR), University of California, San Francisco (US), University Memory and Aging Center (US), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Openalex Percentile: Top 58%
Advanced Neuroimaging Techniques and Applications
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