Volumetric and shape analysis of the thalamus and striatum in amnestic mild cognitive impairment.

TitleVolumetric and shape analysis of the thalamus and striatum in amnestic mild cognitive impairment.
Publication TypeJournal Article
Year of Publication2016
AuthorsLeh SE, Kälin AM, Schroeder C, Park MTae M, M Chakravarty M, Freund P, Gietl AF, Riese F, Kollias S, Hock C, Michels L
JournalJ Alzheimers Dis
Volume49
Issue1
Pagination237-49
Date Published2016
ISSN1875-8908
KeywordsAged, Aged, 80 and over, Alzheimer Disease, Amyloid, Biomarkers, Case-Control Studies, Cognitive Dysfunction, Corpus Striatum, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Positron-Emission Tomography, Thalamus
Abstract

Alterations in brain structures, including progressive neurodegeneration, are a hallmark in patients with Alzheimer's disease (AD). However, pathological mechanisms, such as the accumulation of amyloid and the proliferation of tau, are thought to begin years, even decades, before the initial clinical manifestations of AD. In this study, we compare the brain anatomy of amnestic mild cognitive impairment patients (aMCI, n = 16) to healthy subjects (CS, n = 22) using cortical thickness, subcortical volume, and shape analysis, which we believe to be complimentary to volumetric measures. We were able to replicate "classical" cortical thickness alterations in aMCI in the hippocampus, amygdala, putamen, insula, and inferior temporal regions. Additionally, aMCI showed significant thalamic and striatal shape differences. We observed higher global amyloid deposition in aMCI, a significant correlation between striatal displacement and global amyloid, and an inverse correlation between executive function and right-hemispheric thalamic displacement. In contrast, no volumetric differences were detected in thalamic, striatal, and hippocampal regions. Our results provide new evidence for early subcortical neuroanatomical changes in patients with aMCI, which are linked to cognitive abilities and amyloid deposition. Hence, shape analysis may aid in the identification of structural biomarkers for identifying individuals at highest risk of conversion to AD.

DOI10.3233/JAD-150080
Alternate JournalJ. Alzheimers Dis.
PubMed ID26444755

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