Literature DB >> 33615673

Utility of MRI in the identification of hippocampal sclerosis of aging.

Davis C Woodworth1,2, Hannah L Nguyen3, Zainab Khan3, Claudia H Kawas1,2,4, María M Corrada1,2,4,5, S Ahmad Sajjadi1,2.   

Abstract

INTRODUCTION: Hippocampal sclerosis of aging (HS) is a common pathology often misdiagnosed as Alzheimer's disease. We tested the hypothesis that participants with HS would have a magnetic resonance imaging (MRI)-detectable hippocampal pattern of atrophy distinct from participants without HS, both with and without Alzheimer's disease neuropathology (ADNP).
METHODS: Query of the National Alzheimer's Coordinating Center database identified 198 participants with MRI and autopsy. Hippocampal subfields were segmented with FreeSurfer v6. Analysis of covariance for subfield volumes compared HS+ participants to those without HS, both with ADNP (HS-/ADNP+) and without (HS-/ADNP-).
RESULTS: HS+ participants (N = 27, 14%) showed atrophied cornu ammonis 1 (CA1; left P < .001, ηp 2  = 0.14; right P = .001, ηp 2  = 0.09) and subiculum (left P < .001, ηp 2  = 0.139; right P = .001, ηp 2  = 0.085) compared to HS-/ADNP+ (N = 100, 51%). Compared to HS-/ADNP- (N = 71, 36%), HS+ also had atrophy in subiculum (left P < .001, ηp 2  = 0.235; right P = .002, ηp 2  = 0.137) and CA1 (left P < .001, ηp 2  = 0.137; right P = .006, ηp 2  = 0.070). DISCUSSION: Subiculum and CA1 atrophy from clinical MRI may be a promising in vivo biomarker for HS.
© 2020 the Alzheimer's Association.

Entities:  

Keywords:  Alzheimer's disease; CA1; atrophy; dementia; hippocampal sclerosis of aging; hippocampus; magnetic resonance imaging; subiculum

Mesh:

Substances:

Year:  2020        PMID: 33615673      PMCID: PMC8119299          DOI: 10.1002/alz.12241

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  28 in total

1.  A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.

Authors:  Juan Eugenio Iglesias; Jean C Augustinack; Khoa Nguyen; Christopher M Player; Allison Player; Michelle Wright; Nicole Roy; Matthew P Frosch; Ann C McKee; Lawrence L Wald; Bruce Fischl; Koen Van Leemput
Journal:  Neuroimage       Date:  2015-04-29       Impact factor: 6.556

2.  The National Alzheimer's Coordinating Center (NACC) Database: an Alzheimer disease database.

Authors:  Duane L Beekly; Erin M Ramos; Gerald van Belle; Woodrow Deitrich; Amber D Clark; Mary E Jacka; Walter A Kukull
Journal:  Alzheimer Dis Assoc Disord       Date:  2004 Oct-Dec       Impact factor: 2.703

3.  The first step for neuroimaging data analysis: DICOM to NIfTI conversion.

Authors:  Xiangrui Li; Paul S Morgan; John Ashburner; Jolinda Smith; Christopher Rorden
Journal:  J Neurosci Methods       Date:  2016-03-02       Impact factor: 2.390

Review 4.  Consensus recommendations for the postmortem diagnosis of Alzheimer's disease. The National Institute on Aging, and Reagan Institute Working Group on Diagnostic Criteria for the Neuropathological Assessment of Alzheimer's Disease.

Authors: 
Journal:  Neurobiol Aging       Date:  1997 Jul-Aug       Impact factor: 4.673

5.  Abnormal TDP-43 immunoreactivity in AD modifies clinicopathologic and radiologic phenotype.

Authors:  K A Josephs; J L Whitwell; D S Knopman; W T Hu; D A Stroh; M Baker; R Rademakers; B F Boeve; J E Parisi; G E Smith; R J Ivnik; R C Petersen; C R Jack; D W Dickson
Journal:  Neurology       Date:  2008-04-09       Impact factor: 9.910

Review 6.  Structural imaging of hippocampal subfields in healthy aging and Alzheimer's disease.

Authors:  Robin de Flores; Renaud La Joie; Gaël Chételat
Journal:  Neuroscience       Date:  2015-08-22       Impact factor: 3.590

7.  The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.

Authors:  Clifford R Jack; Matt A Bernstein; Nick C Fox; Paul Thompson; Gene Alexander; Danielle Harvey; Bret Borowski; Paula J Britson; Jennifer L Whitwell; Chadwick Ward; Anders M Dale; Joel P Felmlee; Jeffrey L Gunter; Derek L G Hill; Ron Killiany; Norbert Schuff; Sabrina Fox-Bosetti; Chen Lin; Colin Studholme; Charles S DeCarli; Gunnar Krueger; Heidi A Ward; Gregory J Metzger; Katherine T Scott; Richard Mallozzi; Daniel Blezek; Joshua Levy; Josef P Debbins; Adam S Fleisher; Marilyn Albert; Robert Green; George Bartzokis; Gary Glover; John Mugler; Michael W Weiner
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

8.  Hippocampal sclerosis of aging is a key Alzheimer's disease mimic: clinical-pathologic correlations and comparisons with both alzheimer's disease and non-tauopathic frontotemporal lobar degeneration.

Authors:  Willa D Brenowitz; Sarah E Monsell; Frederick A Schmitt; Walter A Kukull; Peter T Nelson
Journal:  J Alzheimers Dis       Date:  2014       Impact factor: 4.472

9.  MRI shows more severe hippocampal atrophy and shape deformation in hippocampal sclerosis than in Alzheimer's disease.

Authors:  C Zarow; L Wang; H C Chui; M W Weiner; J G Csernansky
Journal:  Int J Alzheimers Dis       Date:  2011-04-11

10.  Hippocampal Sclerosis in the Oldest Old: A Finnish Population-Based Study.

Authors:  Mia Kero; Anna Raunio; Tuomo Polvikoski; Pentti J Tienari; Anders Paetau; Liisa Myllykangas
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

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  2 in total

Review 1.  Neuroimaging in the Oldest-Old: A Review of the Literature.

Authors:  Davis C Woodworth; Kiana A Scambray; María M Corrada; Claudia H Kawas; S Ahmad Sajjadi
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

2.  Dementia is associated with medial temporal atrophy even after accounting for neuropathologies.

Authors:  Davis C Woodworth; Nasim Sheikh-Bahaei; Kiana A Scambray; Michael J Phelan; Mari Perez-Rosendahl; María M Corrada; Claudia H Kawas; Seyed Ahmad Sajjadi
Journal:  Brain Commun       Date:  2022-03-07
  2 in total

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