Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer’s Disease Pathology Using Ex vivo Imaging

Ravikumar, Sadhana; Wisse, Laura; Lim, Sydney; Irwin, David J.; Ittyerah, Ranjit; Xie, Lin; Das, Sandhitsu R.; Lee, Edward; Tisdall, M. Dylan; Prabhakaran, Karthik; Detre, John A.; Mizsei, Gabor; Trojanowski, John Q.; Robinson, John; Schuck, Theresa; Grossman, Murray; Artacho‐Pérula, Emilio; Martı́n, Marı́a; Jiménez, María del Mar Arroyo; Muñoz, Mónica; Romero, Francisco Javier Molina; Rabal, Maria del Pilar Marcos; Sánchez, Sandra Cebada; Gonzalez, Jose; Rosa-Prieto, Carlos de la; Parada, Marta Córcoles; Wolk, David A.; Insausti, Ricardo; Yushkevich, Paul A.

doi:10.1007/978-3-030-87586-2_1

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…Ravikumar et al (2021) recently performed flat mapping of the medial temporal lobe neocortex using a Laplace coordinate system as employed here, and showed sharpening of group-averaged images following deformable registration in unfolded space. This indirectly suggests better intersubject alignment.…”

Section: Discussionmentioning

confidence: 99%

“…This method does not require an inherently spherical topology and the only major conceptual difference between it and the present work is that we hold hippocampal termini or endpoints fixed, for additional regularization, whereas FastSurfer derives them from the surface mesh itself. Ravikumar et al (2021) recently performed flat mapping of the medial temporal lobe neocortex using a Laplace coordinate system as employed here, and showed sharpening of group-averaged images following deformable registration in unfolded space. This indirectly suggests better intersubject alignment.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of surface-based hippocampal registration using ground-truth subfield definitions

DeKraker

Palomero-Gallagher

Kedo

et al. 2023

Preprint

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The hippocampus is an archicortical structure, consisting of subfields with unique circuits. Understanding its microstructure, as proxied by these subfields, can improve our mechanistic understanding of learning and memory and has clinical potential for several neurological disorders. One prominent issue is how to parcellate, register, or retrieve homologous points between two hippocampi with grossly different morphologies. Here, we present a surface-based registration method that solves this issue in a contrast-agnostic, topology-preserving manner. Specifically, the entire hippocampus is first analytically unfolded, and then samples are registered in 2D unfolded space based on thickness, curvature, and gyrification. We demonstrate this method in seven 3D histology samples and show superior alignment with respect to subfields using this method over more conventional registration approaches.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Evaluation of surface-based hippocampal registration using ground-truth subfield definitions

DeKraker

Palomero-Gallagher

Kedo

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Future work will focus on addressing these limitations of our quantitative measures concurrent with obtaining histology from the same hemisphere as the MRI-based cortical thickness measures. 48,49…”

Section: Discussionmentioning

confidence: 99%

“…We presented these data as exploratory because the machine learning–based measures still need to be validated for the histology protocol used in this paper (6 μm sections stained with PHF‐1), and because they have limited anatomic specificity (i.e., the same “hippocampus slide tangle burden” measure captures pathology in the CA1, entorhinal cortex, and BA35 regions). Future work will focus on addressing these limitations of our quantitative measures concurrent with obtaining histology from the same hemisphere as the MRI‐based cortical thickness measures 48,49 …”

Section: Discussionmentioning

confidence: 99%

Associations of phosphorylated tau pathology with whole‐hemisphere ex vivo morphometry in 7 tesla MRI

Sadaghiani

Trotman

Lim

et al. 2022

Alzheimer's & Dementia

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Introduction Neurodegenerative disorders are associated with different pathologies that often co‐occur but cannot be measured specifically with in vivo methods. Methods Thirty‐three brain hemispheres from donors with an Alzheimer's disease (AD) spectrum diagnosis underwent T2‐weighted magnetic resonance imaging (MRI). Gray matter thickness was paired with histopathology from the closest anatomic region in the contralateral hemisphere. Results Partial Spearman correlation of phosphorylated tau and cortical thickness with TAR DNA‐binding protein 43 (TDP‐43) and α‐synuclein scores, age, sex, and postmortem interval as covariates showed significant relationships in entorhinal and primary visual cortices, temporal pole, and insular and posterior cingulate gyri. Linear models including Braak stages, TDP‐43 and α‐synuclein scores, age, sex, and postmortem interval showed significant correlation between Braak stage and thickness in the parahippocampal gyrus, entorhinal cortex, and Broadman area 35. Conclusion We demonstrated an association of measures of AD pathology with tissue loss in several AD regions despite a limited range of pathology in these cases. Highlights Neurodegenerative disorders are associated with co‐occurring pathologies that cannot be measured specifically with in vivo methods. Identification of the topographic patterns of these pathologies in structural magnetic resonance imaging (MRI) may provide probabilistic biomarkers. We demonstrated the correlation of the specific patterns of tissue loss from ex vivo brain MRI with underlying pathologies detected in postmortem brain hemispheres in patients with Alzheimer's disease (AD) spectrum disorders. The results provide insight into the interpretation of in vivo structural MRI studies in patients with AD spectrum disorders.

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Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis

Wang

2024

Cerebral Cortex

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This study extends the application of the frequency-domain new causality method to functional magnetic resonance imaging analysis. Strong causality, weak causality, balanced causality, cyclic causality, and transitivity causality were constructed to simulate varying degrees of causal associations among multivariate functional-magnetic-resonance-imaging blood-oxygen-level-dependent signals. Data from 1,252 groups of individuals with different degrees of cognitive impairment were collected. The frequency-domain new causality method was employed to construct directed efficient connectivity networks of the brain, analyze the statistical characteristics of topological variations in brain regions related to cognitive impairment, and utilize these characteristics as features for training a deep learning model. The results demonstrated that the frequency-domain new causality method accurately detected causal associations among simulated signals of different degrees. The deep learning tests also confirmed the superior performance of new causality, surpassing the other three methods in terms of accuracy, precision, and recall rates. Furthermore, consistent significant differences were observed in the brain efficiency networks, where several subregions defined by the multimodal parcellation method of Human Connectome Project simultaneously appeared in the topological statistical results of different patient groups. This suggests a significant association between these fine-grained cortical subregions, driven by multimodal data segmentation, and human cognitive function, making them potential biomarkers for further analysis of Alzheimer’s disease.

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Unfolding the Medial Temporal Lobe Cortex to Characterize Neurodegeneration Due to Alzheimer’s Disease Pathology Using Ex vivo Imaging

Cited by 5 publications

References 19 publications

Evaluation of surface-based hippocampal registration using ground-truth subfield definitions

Evaluation of surface-based hippocampal registration using ground-truth subfield definitions

Associations of phosphorylated tau pathology with whole‐hemisphere ex vivo morphometry in 7 tesla MRI

Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis

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