Literature DB >> 26306871

Structural imaging of hippocampal subfields in healthy aging and Alzheimer's disease.

Robin de Flores1, Renaud La Joie2, Gaël Chételat1.   

Abstract

Hippocampal atrophy, as evidenced using magnetic resonance imaging (MRI), is one of the most validated, easily accessible and widely used biomarkers of Alzheimer's disease (AD). However, its imperfect sensitivity and specificity have highlighted the need to improve the analysis of MRI data. Based on neuropathological data showing a differential vulnerability of hippocampal subfields to AD processes, neuroimaging researchers have tried to capture corresponding morphological changes within the hippocampus. The present review provides an overview of the methodological developments that allow the assessment of hippocampal subfield morphology in vivo, and summarizes the results of studies looking at the effects of AD and normal aging on these structures. Most studies highlighted a focal atrophy of the CA1 subfield in the early (predementia or even preclinical) stages of AD, before atrophy becomes more widespread at the dementia stage, consistent with the pathological literature. Preliminary studies have indicated that looking at this focal atrophy pattern rather than standard whole hippocampus volumetry improves diagnostic accuracy at the mild cognitive impairment (MCI) stage. However, controversies remain regarding changes in hippocampal subfield structure in normal aging and regarding correlations between specific subfield volume and memory abilities, very likely because of the strong methodological variability between studies. Overall, hippocampal subfield analysis has proven to be a promising technique in the study of AD. However, harmonization of segmentation protocols and studies on larger samples are needed to enable accurate comparisons between studies and to confirm the clinical utility of these techniques.
Copyright © 2015 IBRO. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alzheimer’s disease; CA1; aging; biomarker; hippocampus; magnetic resonance imaging

Mesh:

Year:  2015        PMID: 26306871     DOI: 10.1016/j.neuroscience.2015.08.033

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  105 in total

1.  Differentiating Between Healthy Control Participants and Those with Mild Cognitive Impairment Using Volumetric MRI Data.

Authors:  Renée DeVivo; Lauren Zajac; Asim Mian; Anna Cervantes-Arslanian; Eric Steinberg; Michael L Alosco; Jesse Mez; Robert Stern; Ronald Killany
Journal:  J Int Neuropsychol Soc       Date:  2019-05-27       Impact factor: 2.892

2.  Multimodal Parcellations and Extensive Behavioral Profiling Tackling the Hippocampus Gradient.

Authors:  Anna Plachti; Simon B Eickhoff; Felix Hoffstaedter; Kaustubh R Patil; Angela R Laird; Peter T Fox; Katrin Amunts; Sarah Genon
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

3.  A framework for informing segmentation of in vivo MRI with information derived from ex vivo imaging: Application in the medial temporal lobe.

Authors:  Paul A Yushkevich; Laura Wisse; Daniel Adler; Ranjit Ittyerah; John B Pluta; John L Robinson; Theresa Schuck; John Q Trojanowski; Murray Grossman; John A Detre; Mark A Elliott; Jon B Toledo; Stephen Pickup; Sandhitsu R Das; David A Wolk
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2016-08

4.  Regionally specific changes in the hippocampal circuitry accompany progression of cerebrospinal fluid biomarkers in preclinical Alzheimer's disease.

Authors:  Christine L Tardif; Gabriel A Devenyi; Robert S C Amaral; Sandra Pelleieux; Judes Poirier; Pedro Rosa-Neto; John Breitner; M Mallar Chakravarty
Journal:  Hum Brain Mapp       Date:  2017-11-21       Impact factor: 5.038

5.  Volumetric comparison of hippocampal subfields extracted from 4-minute accelerated vs. 8-minute high-resolution T2-weighted 3T MRI scans.

Authors:  Shan Cong; Shannon L Risacher; John D West; Yu-Chien Wu; Liana G Apostolova; Eileen Tallman; Maher Rizkalla; Paul Salama; Andrew J Saykin; Li Shen
Journal:  Brain Imaging Behav       Date:  2018-12       Impact factor: 3.978

6.  Characterizing the human hippocampus in aging and Alzheimer's disease using a computational atlas derived from ex vivo MRI and histology.

Authors:  Daniel H Adler; Laura E M Wisse; Ranjit Ittyerah; John B Pluta; Song-Lin Ding; Long Xie; Jiancong Wang; Salmon Kadivar; John L Robinson; Theresa Schuck; John Q Trojanowski; Murray Grossman; John A Detre; Mark A Elliott; Jon B Toledo; Weixia Liu; Stephen Pickup; Michael I Miller; Sandhitsu R Das; David A Wolk; Paul A Yushkevich
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-28       Impact factor: 11.205

7.  Automated segmentation of medial temporal lobe subregions on in vivo T1-weighted MRI in early stages of Alzheimer's disease.

Authors:  Long Xie; Laura E M Wisse; John Pluta; Robin de Flores; Virgine Piskin; Jose V Manjón; Hongzhi Wang; Sandhitsu R Das; Song-Lin Ding; David A Wolk; Paul A Yushkevich
Journal:  Hum Brain Mapp       Date:  2019-04-29       Impact factor: 5.038

8.  Subcortical amyloid load is associated with shape and volume in cognitively normal individuals.

Authors:  Shady Rahayel; Christian Bocti; Pénélope Sévigny Dupont; Maude Joannette; Marie Maxime Lavallée; Jim Nikelski; Howard Chertkow; Sven Joubert
Journal:  Hum Brain Mapp       Date:  2019-05-30       Impact factor: 5.038

9.  Subcortical amyloid relates to cortical morphology in cognitively normal individuals.

Authors:  Shady Rahayel; Christian Bocti; Pénélope Sévigny Dupont; Maude Joannette; Marie Maxime Lavallée; Jim Nikelski; Howard Chertkow; Sven Joubert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-25       Impact factor: 9.236

10.  In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies.

Authors:  Veronika Hanko; Alexandra C Apple; Kathryn I Alpert; Kristen N Warren; Julie A Schneider; Konstantinos Arfanakis; David A Bennett; Lei Wang
Journal:  Neurobiol Aging       Date:  2018-10-25       Impact factor: 4.673

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.