Literature DB >> 17415082

Magnetic resonance analysis of amygdalar volume in Alzheimer's disease.

Daniel Horínek1, Alexandra Varjassyová, Jakub Hort.   

Abstract

PURPOSE OF REVIEW: With the rising prevalence of Alzheimer's disease, there is an increasing need for better comprehension of its pathophysiology. The purpose of this article is to review recent studies investigating the association between amygdalar volume and clinical symptoms in Alzheimer's disease. The first part describes the technique of MRI segmentation of amygdala. The advantages and risks of various segmentation techniques are noted. In the second part, the role of amygdalar volume in the assessment of clinical diagnosis is discussed. The third part encounters the relationship between the amygdalar atrophy and its neuropsychological correlates. RECENT
FINDINGS: Numerous MRI studies showed the same degree of hippocampal and amygdalar volume loss. MRI volumetry of the amygdala may be relevant as a marker of dementia severity in Alzheimer's disease. Asymmetry in amygdalar atrophy is useful in separating Alzheimer's disease and frontotemporal lobar degeneration. There has been a lack of direct relationship between the atrophy of amygdala and neuropsychiatric symptoms in Alzheimer's disease.
SUMMARY: Although time-consuming, the manual tracing represents the golden standard in MRI volumetry of amygdala. The pathogenesis of neuropsychiatric symptoms in Alzheimer's disease is complex and their manifestation is therefore not attributable to the amygdalar atrophy only.

Entities:  

Mesh:

Year:  2007        PMID: 17415082     DOI: 10.1097/YCO.0b013e3280ebb613

Source DB:  PubMed          Journal:  Curr Opin Psychiatry        ISSN: 0951-7367            Impact factor:   4.741


  19 in total

1.  Discovering network phenotype between genetic risk factors and disease status via diagnosis-aligned multi-modality regression method in Alzheimer's disease.

Authors:  Meiling Wang; Xiaoke Hao; Jiashuang Huang; Wei Shao; Daoqiang Zhang
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

2.  Individual subject classification of mixed dementia from pure subcortical vascular dementia based on subcortical shape analysis.

Authors:  Hee Jin Kim; Jeonghun Kim; Hanna Cho; Byoung Seok Ye; Cindy W Yoon; Young Noh; Geon Ha Kim; Jae Hong Lee; Jae Seung Kim; Yearn Seong Choe; Kyung-Han Lee; Chang-Hun Kim; Sang Won Seo; Michael W Weiner; Duk L Na; Joon-Kyung Seong
Journal:  PLoS One       Date:  2013-10-10       Impact factor: 3.240

3.  The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer's disease.

Authors:  Xiaoying Tang; Dominic Holland; Anders M Dale; Laurent Younes; Michael I Miller
Journal:  Hum Brain Mapp       Date:  2015-02-03       Impact factor: 5.038

4.  Education is associated with sub-regions of the hippocampus and the amygdala vulnerable to neuropathologies of Alzheimer's disease.

Authors:  Xiaoying Tang; Vijay R Varma; Michael I Miller; Michelle C Carlson
Journal:  Brain Struct Funct       Date:  2016-08-17       Impact factor: 3.270

5.  Age but no sex effects on subareas of the amygdala.

Authors:  Florian Kurth; Nicolas Cherbuin; Eileen Luders
Journal:  Hum Brain Mapp       Date:  2018-12-13       Impact factor: 5.038

6.  Local amygdala structural differences with 3T MRI in patients with Alzheimer disease.

Authors:  E Cavedo; M Boccardi; R Ganzola; E Canu; A Beltramello; C Caltagirone; P M Thompson; G B Frisoni
Journal:  Neurology       Date:  2011-02-22       Impact factor: 9.910

7.  Volume Loss of the Nucleus Basalis of Meynert is Associated with Atrophy of Innervated Regions in Mild Cognitive Impairment.

Authors:  Jose L Cantero; Laszlo Zaborszky; Mercedes Atienza
Journal:  Cereb Cortex       Date:  2017-08-01       Impact factor: 5.357

8.  The potential role of leukoaraiosis in remodeling the brain network to buffer cognitive decline: a Leukoaraiosis And Disability study from Alzheimer's Disease Neuroimaging Initiative.

Authors:  Wei Chen; Hai Lin; Minrui Lyu; Victoria J Wang; Xiang Li; Shixing Bao; Guoping Sun; Jun Xia; Peijun Wang
Journal:  Quant Imaging Med Surg       Date:  2021-01

9.  Preserved and impaired emotional memory in Alzheimer's disease.

Authors:  Yanica Klein-Koerkamp; Monica Baciu; Pascal Hot
Journal:  Front Psychol       Date:  2012-09-14

10.  Diagnostic value of amygdala volume on structural magnetic resonance imaging in Alzheimer's disease.

Authors:  De-Wei Wang; Shou-Luan Ding; Xian-Li Bian; Shi-Yue Zhou; Hui Yang; Ping Wang
Journal:  World J Clin Cases       Date:  2021-06-26       Impact factor: 1.337

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.