Literature DB >> 24413620

Shape changes of the basal ganglia and thalamus in Alzheimer's disease: a three-year longitudinal study.

Hanna Cho1, Jeong-Hun Kim2, Changsoo Kim3, Byoung Seok Ye4, Hee Jin Kim4, Cindy W Yoon4, Young Noh4, Geon Ha Kim4, Yeo Jin Kim4, Jung-Hyun Kim4, Chang-Hun Kim5, Sue J Kang4, Juhee Chin4, Sung Tae Kim6, Kyung-Han Lee7, Duk L Na4, Joon-Kyung Seong8, Sang Won Seo4.   

Abstract

BACKGROUND: A large number of Alzheimer's disease (AD) studies have focused on medial temporal and cortical atrophy, while changes in the basal ganglia or thalamus have received less attention.
OBJECTIVE: The aim of this study was to investigate the existence of progressive topographical shape changes in the basal ganglia (caudate nucleus, putamen, and globus pallidus) and thalamus concurrent with AD disease progression over three years. This study also examined whether declines in volumes of the basal ganglia or thalamus might be responsible for cognitive decline in patients with AD.
METHODS: Thirty-six patients with early stage AD and 14 normal control subjects were prospectively recruited for this study. All subjects were assessed with neuropsychological tests and MRI at baseline and Years 1 and 3. A longitudinal shape analysis of the basal ganglia and thalamus was performed by employing a boundary surface-based shape analysis method.
RESULTS: AD patients exhibited specific regional atrophy in the right caudate nucleus and the bilateral putamen at baseline, and as the disease progressed, regional atrophic changes in the left caudate nucleus were found to conform to a distinct topography after controlling the total brain volume. Volumetric decline of the caudate nucleus and putamen correlated with cognitive decline in frontal function after controlling for age, gender, education, follow-up years, and total brain volume changes.
CONCLUSION: Our findings suggest that shape changes of the basal ganglia occurred regardless of whole brain atrophy as AD progressed and were also responsible for cognitive decline that was observed from the frontal function tests.

Entities:  

Keywords:  Alzheimer's disease; basal ganglia; caudate nucleus; globus pallidus; putamen; shape; thalamus

Mesh:

Year:  2014        PMID: 24413620     DOI: 10.3233/JAD-132072

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  22 in total

1.  Disruption of thalamic connectivity in Alzheimer's disease: a diffusion tensor imaging study.

Authors:  Qing-Yong Zhu; Si-Wei Bi; Xiu-Ting Yao; Zhi-Yan Ni; Ying Li; Bo-Yu Chen; Guo-Guang Fan; Xiu-Li Shang
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2.  Reorganization of the Neurobiology of Language After Sentence Overlearning.

Authors:  Jeremy I Skipper; Sarah Aliko; Stephen Brown; Yoon Ju Jo; Serena Lo; Emilia Molimpakis; Daniel R Lametti
Journal:  Cereb Cortex       Date:  2022-05-31       Impact factor: 4.861

Review 3.  The Microbiota-Gut-Brain Axis in Alzheimer's Disease: A Review of Taxonomic Alterations and Potential Avenues for Interventions.

Authors:  Emily R Murray; Mylon Kemp; Tanya T Nguyen
Journal:  Arch Clin Neuropsychol       Date:  2022-02-22       Impact factor: 3.448

4.  Thalamic Shape and Cognitive Performance in Amnestic Mild Cognitive Impairment.

Authors:  Changtae Hahn; Chang-Uk Lee; Wang Yeon Won; Soo-Hyun Joo; Hyun Kook Lim
Journal:  Psychiatry Investig       Date:  2016-09-30       Impact factor: 2.505

5.  Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease.

Authors:  Anees Abrol; Manish Bhattarai; Alex Fedorov; Yuhui Du; Sergey Plis; Vince Calhoun
Journal:  J Neurosci Methods       Date:  2020-04-08       Impact factor: 2.390

6.  Longitudinal Cerebral Blood Flow Changes in Normal Aging and the Alzheimer's Disease Continuum Identified by Arterial Spin Labeling MRI.

Authors:  Aldo Camargo; Ze Wang
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

Review 7.  A Systematic Review of Longitudinal Studies Which Measure Alzheimer's Disease Biomarkers.

Authors:  Emma Lawrence; Carolin Vegvari; Alison Ower; Christoforos Hadjichrysanthou; Frank De Wolf; Roy M Anderson
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

8.  Prediction and classification of Alzheimer disease based on quantification of MRI deformation.

Authors:  Xiaojing Long; Lifang Chen; Chunxiang Jiang; Lijuan Zhang
Journal:  PLoS One       Date:  2017-03-06       Impact factor: 3.240

9.  Are there differences in brain morphology according to handedness?

Authors:  Han Jang; Jae Youn Lee; Kang Il Lee; Kang Min Park
Journal:  Brain Behav       Date:  2017-05-23       Impact factor: 2.708

10.  Subregional Structural Alterations in Hippocampus and Nucleus Accumbens Correlate with the Clinical Impairment in Patients with Alzheimer's Disease Clinical Spectrum: Parallel Combining Volume and Vertex-Based Approach.

Authors:  Xiuling Nie; Yu Sun; Suiren Wan; Hui Zhao; Renyuan Liu; Xueping Li; Sichu Wu; Zuzana Nedelska; Jakub Hort; Zhao Qing; Yun Xu; Bing Zhang
Journal:  Front Neurol       Date:  2017-08-15       Impact factor: 4.003

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