Literature DB >> 24484275

Amygdalar atrophy in early Alzheimer's disease.

Yanica Klein-Koerkamp, Rolf A Heckemann, Kylee T Ramdeen, Olivier Moreaud, Sandrine Keignart, Alexandre Krainik, Alexander Hammers, Monica Baciu, Pascal Hot.   

Abstract

Current research suggests that amygdalar volumes in patients with Alzheimer's disease (AD) may be a relevant measure for its early diagnosis. However, findings are still inconclusive and controversial, partly because studies did not focus on the earliest stage of the disease. In this study, we measured amygdalar atrophy in 48 AD patients and 82 healthy controls (HC) by using a multi-atlas procedure, MAPER. Both hippocampal and amygdalar volumes, normalized by intracranial volume, were significantly reduced in AD compared with HC. The volume loss in the two structures was of similar magnitude (~24%). Amygdalar volume loss in AD predicted memory impairment after we controlled for age, gender, education, and, more important, hippocampal volume, indicating that memory decline correlates with amygdalar atrophy over and above hippocampal atrophy. Amygdalar volume may thus be as useful as hippocampal volume for the diagnosis of early AD. In addition, it could be an independent marker of cognitive decline. The role of the amygdala in AD should be reconsidered to guide further research and clinical practice.

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Year:  2014        PMID: 24484275     DOI: 10.2174/1567205011666140131123653

Source DB:  PubMed          Journal:  Curr Alzheimer Res        ISSN: 1567-2050            Impact factor:   3.498


  17 in total

Review 1.  Multi-atlas segmentation of biomedical images: A survey.

Authors:  Juan Eugenio Iglesias; Mert R Sabuncu
Journal:  Med Image Anal       Date:  2015-07-06       Impact factor: 8.545

2.  Multi-modality MRI for Alzheimer's disease detection using deep learning.

Authors:  Noureddine Belkhamsa; Yazid Cherfa; Latifa Houria; Assia Cherfa
Journal:  Phys Eng Sci Med       Date:  2022-09-05

3.  Social Networks and Cognitive Reserve: Network Structure Moderates the Association Between Amygdalar Volume and Cognitive Outcomes.

Authors:  Brea L Perry; Adam R Roth; Siyun Peng; Shannon L Risacher; Andrew J Saykin; Liana G Apostolova
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2022-08-11       Impact factor: 4.942

4.  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

5.  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

6.  Structural brain imaging in Alzheimer's disease and mild cognitive impairment: biomarker analysis and shared morphometry database.

Authors:  Christian Ledig; Andreas Schuh; Ricardo Guerrero; Rolf A Heckemann; Daniel Rueckert
Journal:  Sci Rep       Date:  2018-07-26       Impact factor: 4.379

7.  Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification.

Authors:  Moritz Böhle; Fabian Eitel; Martin Weygandt; Kerstin Ritter
Journal:  Front Aging Neurosci       Date:  2019-07-31       Impact factor: 5.750

8.  The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume.

Authors:  Michelle K Lupton; Lachlan Strike; Narelle K Hansell; Wei Wen; Karen A Mather; Nicola J Armstrong; Anbupalam Thalamuthu; Katie L McMahon; Greig I de Zubicaray; Amelia A Assareh; Andrew Simmons; Petroula Proitsi; John F Powell; Grant W Montgomery; Derrek P Hibar; Eric Westman; Magda Tsolaki; Iwona Kloszewska; Hilkka Soininen; Patrizia Mecocci; Bruno Velas; Simon Lovestone; Henry Brodaty; David Ames; Julian N Trollor; Nicholas G Martin; Paul M Thompson; Perminder S Sachdev; Margaret J Wright
Journal:  Neurobiol Aging       Date:  2016-01-11       Impact factor: 4.673

9.  Multimodal Magnetic Resonance Imaging in Alzheimer's Disease Patients at Prodromal Stage.

Authors:  Pierre Eustache; Federico Nemmi; Laure Saint-Aubert; Jeremie Pariente; Patrice Péran
Journal:  J Alzheimers Dis       Date:  2016       Impact factor: 4.472

10.  Atrophy of amygdala and abnormal memory-related alpha oscillations over posterior cingulate predict conversion to Alzheimer's disease.

Authors:  Laura Prieto Del Val; Jose L Cantero; Mercedes Atienza
Journal:  Sci Rep       Date:  2016-08-22       Impact factor: 4.379

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