Literature DB >> 22289801

MRI hippocampal and entorhinal cortex mapping in predicting conversion to Alzheimer's disease.

D P Devanand1, Ravi Bansal, Jun Liu, Xuejun Hao, Gnanavalli Pradhaban, Bradley S Peterson.   

Abstract

OBJECTIVE: Using MRI surface morphometry mapping, to evaluate local deformations of the hippocampus, parahippocampal gyrus, and entorhinal cortex in predicting conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD).
METHODS: Baseline brain MRI with surface morphological analysis was performed in 130 outpatients with MCI, broadly defined, and 61 healthy controls followed for an average of 4 years in a single site study.
RESULTS: Patients with MCI differed from controls in several regions of the hippocampus and entorhinal cortex, and to a lesser extent in the parahippocampal gyrus. In the MCI sample, Cox regression models were conducted for time to conversion comparing converters to AD (n=31) and non-converters (n=99), controlling for age, sex and education. Converters showed greater atrophy in the head of the hippocampus, predominantly in the CA1 region and subiculum, and in the entorhinal cortex, especially in the anterior-inferior pole bilaterally. When distances of specific points representing localized inward deformation were entered together with the corresponding hippocampal or entorhinal cortex volume in the same Cox regression model, the distances remained highly significant whereas the volumes of the corresponding structures were either marginally significant or not significant. Inclusion of cognitive or memory measures or apolipoprotein E ε4 genotype as covariates, or restricting the sample to patients with amnestic MCI (24 converters and 81 non-converters) did not materially change the findings. In the 3-year follow-up sample of patients with MCI, logistic regression analyses using the same measures and covariates yielded similar results.
INTERPRETATION: These findings indicate selective early involvement of the CA1 and subiculum regions of the hippocampus and provide new information on early anterior pole involvement in the entorhinal cortex in incipient AD. Fine-grained surface morphometry of medial temporal lobe structures may be superior to volumetric assessment in predicting conversion to AD in patients clinically diagnosed with MCI. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22289801      PMCID: PMC3320768          DOI: 10.1016/j.neuroimage.2012.01.075

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  45 in total

1.  Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps.

Authors:  Liana G Apostolova; Rebecca A Dutton; Ivo D Dinov; Kiralee M Hayashi; Arthur W Toga; Jeffrey L Cummings; Paul M Thompson
Journal:  Arch Neurol       Date:  2006-05

2.  The association between quantitative measures of dementia and of senile change in the cerebral grey matter of elderly subjects.

Authors:  G Blessed; B E Tomlinson; M Roth
Journal:  Br J Psychiatry       Date:  1968-07       Impact factor: 9.319

3.  MRI predictors of risk of incident Alzheimer disease: a longitudinal study.

Authors:  T R Stoub; M Bulgakova; S Leurgans; D A Bennett; D Fleischman; D A Turner; L deToledo-Morrell
Journal:  Neurology       Date:  2005-05-10       Impact factor: 9.910

4.  Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease.

Authors:  D P Devanand; G Pradhaban; X Liu; A Khandji; S De Santi; S Segal; H Rusinek; G H Pelton; L S Honig; R Mayeux; Y Stern; M H Tabert; M J de Leon
Journal:  Neurology       Date:  2007-03-13       Impact factor: 9.910

5.  Asymmetry analysis of deformable hippocampal model using the principal component in schizophrenia.

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6.  Morphologic features of the amygdala and hippocampus in children and adults with Tourette syndrome.

Authors:  Bradley S Peterson; HuiMahn A Choi; Xuejun Hao; Jose A Amat; Hongtu Zhu; Ronald Whiteman; Jun Liu; Dongrong Xu; Ravi Bansal
Journal:  Arch Gen Psychiatry       Date:  2007-11

7.  Development of Alzheimer-related neurofibrillary changes in the neocortex inversely recapitulates cortical myelogenesis.

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8.  The hippocampus and disambiguation of overlapping sequences.

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9.  Hippocampal surface analysis in subjective memory impairment, mild cognitive impairment and Alzheimer's dementia.

Authors:  Ralf Tepest; Lei Wang; John G Csernansky; Philip Neubert; Reinhard Heun; Lukas Scheef; Frank Jessen
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10.  High-resolution fMRI of content-sensitive subsequent memory responses in human medial temporal lobe.

Authors:  Alison R Preston; Aaron M Bornstein; J Benjamin Hutchinson; Meghan E Gaare; Gary H Glover; Anthony D Wagner
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  39 in total

1.  Decreased white matter integrity in neuropsychologically defined mild cognitive impairment is independent of cortical thinning.

Authors:  Nikki H Stricker; David H Salat; Jessica M Foley; Tyler A Zink; Ida L Kellison; Craig P McFarland; Laura J Grande; Regina E McGlinchey; William P Milberg; Elizabeth C Leritz
Journal:  J Int Neuropsychol Soc       Date:  2013-07-01       Impact factor: 2.892

2.  Hippocampal (subfield) volume and shape in relation to cognitive performance across the adult lifespan.

Authors:  Aristotle N Voineskos; Julie L Winterburn; Daniel Felsky; Jon Pipitone; Tarek K Rajji; Benoit H Mulsant; M Mallar Chakravarty
Journal:  Hum Brain Mapp       Date:  2015-05-09       Impact factor: 5.038

3.  A review of neuroimaging biomarkers of Alzheimer's disease.

Authors:  Tinu Varghese; R Sheelakumari; Jija S James; Ps Mathuranath
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4.  A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data.

Authors:  Hongming Li; Mohamad Habes; David A Wolk; Yong Fan
Journal:  Alzheimers Dement       Date:  2019-06-11       Impact factor: 21.566

5.  Hippocampal Deformations and Entorhinal Cortex Atrophy as an Anatomical Signature of Long-Term Cognitive Impairment: from the MCAO Rat Model to the Stroke Patient.

Authors:  C Delattre; C Bournonville; F Auger; R Lopes; C Delmaire; H Henon; A M Mendyk; S Bombois; J C Devedjian; D Leys; C Cordonnier; R Bordet; M Bastide
Journal:  Transl Stroke Res       Date:  2017-10-16       Impact factor: 6.829

Review 6.  Can multi-modal neuroimaging evidence from hippocampus provide biomarkers for the progression of amnestic mild cognitive impairment?

Authors:  Jiu Chen; Zhijun Zhang; Shijiang Li
Journal:  Neurosci Bull       Date:  2015-01-16       Impact factor: 5.203

7.  Effect of CR1 Genetic Variants on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer's Disease Cohorts.

Authors:  Xi-Chen Zhu; Hui-Fu Wang; Teng Jiang; Huan Lu; Meng-Shan Tan; Chen-Chen Tan; Lin Tan; Lan Tan; Jin-Tai Yu
Journal:  Mol Neurobiol       Date:  2016-01-07       Impact factor: 5.590

8.  Logistic regression error-in-covariate models for longitudinal high-dimensional covariates.

Authors:  Hyung Park; Seonjoo Lee
Journal:  Stat       Date:  2019-12-26

9.  Deep learning-based classification of multi-categorical Alzheimer's disease data.

Authors:  David S Cohen; Kristy A Carpenter; Juliet T Jarrell; Xudong Huang
Journal:  Curr Neurobiol       Date:  2019-10

10.  Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia.

Authors:  Martin J Lan; R Todd Ogden; Dileep Kumar; Yaakov Stern; Ramin V Parsey; Gregory H Pelton; Harry Rubin-Falcone; Gnanavalli Pradhaban; Francesca Zanderigo; Jeffrey M Miller; J John Mann; D P Devanand
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

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