» Articles » PMID: 27913407

Whole-brain Analysis Reveals Increased Neuroanatomical Asymmetries in Dementia for Hippocampus and Amygdala

Overview
Journal Brain
Specialty Neurology
Date 2016 Dec 4
PMID 27913407
Citations 63
Authors
Affiliations
Soon will be listed here.
Abstract

Structural magnetic resonance imaging data are frequently analysed to reveal morphological changes of the human brain in dementia. Most contemporary imaging biomarkers are scalar values, such as the volume of a structure, and may miss the localized morphological variation of early presymptomatic disease progression. Neuroanatomical shape descriptors, however, can represent complex geometric information of individual anatomical regions and may demonstrate increased sensitivity in association studies. Yet, they remain largely unexplored. In this article, we introduce a novel technique to study shape asymmetries of neuroanatomical structures across subcortical and cortical brain regions. We demonstrate that neurodegeneration of subcortical structures in Alzheimer's disease is not symmetric. The hippocampus shows a significant increase in asymmetry longitudinally and both hippocampus and amygdala show a significantly higher asymmetry cross-sectionally concurrent with disease severity above and beyond an ageing effect. Our results further suggest that the asymmetry in these structures is undirectional and that primarily the anterior hippocampus becomes asymmetric. Based on longitudinal asymmetry measures we subsequently study the progression from mild cognitive impairment to dementia, demonstrating that shape asymmetry in hippocampus, amygdala, caudate and cortex is predictive of disease onset. The same analyses on scalar volume measurements did not produce any significant results, indicating that shape asymmetries, potentially induced by morphometric changes in subnuclei, rather than size asymmetries are associated with disease progression and can yield a powerful imaging biomarker for the early presymptomatic classification and prediction of Alzheimer's disease. Because literature has focused on contralateral volume differences, subcortical disease lateralization may have been overlooked thus far.

Citing Articles

Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI.

Behjat H, Tarun A, Abramian D, Larsson M, Van De Ville D IEEE Open J Eng Med Biol. 2024; 6:158-167.

PMID: 39698118 PMC: 11655102. DOI: 10.1109/OJEMB.2023.3267726.


QUANTIFYING HIPPOCAMPAL SHAPE ASYMMETRY IN ALZHEIMER'S DISEASE USING OPTIMAL SHAPE CORRESPONDENCES.

Zhu S, Zawar I, Kapur J, Fletcher P Proc IEEE Int Symp Biomed Imaging. 2024; 2024.

PMID: 39323495 PMC: 11423258. DOI: 10.1109/isbi56570.2024.10635697.


Longitudinal changes in brain asymmetry track lifestyle and disease.

Saltoun K, Yeo B, Paul L, Diedrichsen J, Bzdok D Res Sq. 2024; .

PMID: 39149493 PMC: 11326383. DOI: 10.21203/rs.3.rs-4798448/v1.


Relationship Between Excessive Daytime Sleepiness and Caudate Nucleus Volume in Patients with Subjective Cognitive Decline: A Study from the SILCODE Using the Volbrain.

Feng Z, Wang J, Xu L, Wu J, Li H, Wang Z J Alzheimers Dis Rep. 2024; 8(1):935-944.

PMID: 39114552 PMC: 11305844. DOI: 10.3233/ADR-230101.


Trial Analysis of Brain Activity Information for the Presymptomatic Disease Detection of Rheumatoid Arthritis.

Maeda K, Ogawa T, Kayama T, Sasaki T, Tainaka K, Murakami M Bioengineering (Basel). 2024; 11(6).

PMID: 38927759 PMC: 11200460. DOI: 10.3390/bioengineering11060523.


References
1.
Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehericy S, Habert M . Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database. Neuroimage. 2010; 56(2):766-81. DOI: 10.1016/j.neuroimage.2010.06.013. View

2.
Stefanits H, Budka H, Kovacs G . Asymmetry of neurodegenerative disease-related pathologies: a cautionary note. Acta Neuropathol. 2012; 123(3):449-52. DOI: 10.1007/s00401-011-0936-6. View

3.
Frings L, Hellwig S, Spehl T, Bormann T, Buchert R, Vach W . Asymmetries of amyloid-β burden and neuronal dysfunction are positively correlated in Alzheimer's disease. Brain. 2015; 138(Pt 10):3089-99. DOI: 10.1093/brain/awv229. View

4.
Devanand D, Pradhaban G, Liu X, Khandji A, De Santi S, Segal S . Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease. Neurology. 2007; 68(11):828-36. DOI: 10.1212/01.wnl.0000256697.20968.d7. View

5.
Wachinger C, Golland P, Kremen W, Fischl B, Reuter M . BrainPrint: a discriminative characterization of brain morphology. Neuroimage. 2015; 109:232-48. PMC: 4340729. DOI: 10.1016/j.neuroimage.2015.01.032. View