Literature DB >> 23839862

In vivo parahippocampal white matter pathology as a biomarker of disease progression to Alzheimer's disease.

Ana Solodkin1, E Elinor Chen, Gary W Van Hoesen, Lennart Heimer, Ahmed Shereen, Frithjof Kruggel, James Mastrianni.   

Abstract

Noninvasive diagnostic tests for Alzheimer's disease (AD) are limited. Postmortem diagnosis is based on density and distribution of neurofibrillary tangles (NFTs) and amyloid-rich neuritic plaques. In preclinical stages of AD, the cells of origin for the perforant pathway within the entorhinal cortex are among the first to display NFTs, indicating its compromise in early stages of AD. We used diffusion tensor imaging (DTI) to assess the integrity of the parahippocampal white matter in mild cognitive impairment (MCI) and AD, as a first step in developing a noninvasive tool for early diagnosis. Subjects with AD (N = 9), MCI (N = 8), or no cognitive impairment (NCI; N = 20) underwent DTI-MRI. Fractional anisotropy (FA) and mean (MD) and radial (RD) diffusivity measured from the parahippocampal white matter in AD and NCI subjects differed greatly. Discriminant analysis in the MCI cases assigned statistical membership of 38% of MCI subjects to the AD group. Preliminary data 1 year later showed that all MCI cases assigned to the AD group either met the diagnostic criteria for probable AD or showed significant cognitive decline. Voxelwise analysis in the parahippocampal white matter revealed a progressive change in the DTI patterns in MCI and AD subjects: whereas converted MCI cases showed structural changes restricted to the anterior portions of this region, in AD the pathology was generalized along the entire anterior-posterior axis. The use of DTI for in vivo assessment of the parahippocampal white matter may be useful for identifying individuals with MCI at highest risk for conversion to AD and for assessing disease progression.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  AD conversion; DTI; MCI; limbic; microstructure; perforant pathway

Mesh:

Year:  2013        PMID: 23839862     DOI: 10.1002/cne.23418

Source DB:  PubMed          Journal:  J Comp Neurol        ISSN: 0021-9967            Impact factor:   3.215


  10 in total

1.  Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.

Authors:  Tingting Ye; Chen Zu; Biao Jie; Dinggang Shen; Daoqiang Zhang
Journal:  Brain Imaging Behav       Date:  2016-09       Impact factor: 3.978

2.  Manifold regularized multitask feature learning for multimodality disease classification.

Authors:  Biao Jie; Daoqiang Zhang; Bo Cheng; Dinggang Shen
Journal:  Hum Brain Mapp       Date:  2014-10-03       Impact factor: 5.038

3.  Mnemonic discrimination relates to perforant path integrity: An ultra-high resolution diffusion tensor imaging study.

Authors:  Ilana J Bennett; Craig E L Stark
Journal:  Neurobiol Learn Mem       Date:  2015-07-04       Impact factor: 2.877

4.  Early Cerebellar Network Shifting in Spinocerebellar Ataxia Type 6.

Authors:  M I Falcon; C M Gomez; E E Chen; A Shereen; A Solodkin
Journal:  Cereb Cortex       Date:  2015-07-24       Impact factor: 5.357

5.  Longitudinal accrual of neocortical amyloid burden is associated with microstructural changes of the fornix in cognitively normal adults.

Authors:  Zhuang Song; Michelle E Farrell; Xi Chen; Denise C Park
Journal:  Neurobiol Aging       Date:  2018-03-06       Impact factor: 4.673

6.  Soluble amyloid beta levels are elevated in the white matter of Alzheimer's patients, independent of cortical plaque severity.

Authors:  Lyndsey E Collins-Praino; Yitshak I Francis; Erica Y Griffith; Anne F Wiegman; Jonathan Urbach; Arlene Lawton; Lawrence S Honig; Etty Cortes; Jean Paul G Vonsattel; Peter D Canoll; James E Goldman; Adam M Brickman
Journal:  Acta Neuropathol Commun       Date:  2014-08-17       Impact factor: 7.801

7.  Impact of SORL1 genetic variations on MRI markers in non-demented elders.

Authors:  Rui-Hua Yin; Jun Li; Lin Tan; Hui-Fu Wang; Meng-Shan Tan; Wan-Jiang Yu; Chen-Chen Tan; Jin-Tai Yu; Lan Tan
Journal:  Oncotarget       Date:  2016-05-31

8.  A White Matter Connection of Schizophrenia and Alzheimer's Disease.

Authors:  Peter Kochunov; Artemis Zavaliangos-Petropulu; Neda Jahanshad; Paul M Thompson; Meghann C Ryan; Joshua Chiappelli; Shuo Chen; Xiaoming Du; Kathryn Hatch; Bhim Adhikari; Hemalatha Sampath; Stephanie Hare; Mark Kvarta; Eric Goldwaser; Fude Yang; Rene L Olvera; Peter T Fox; Joanne E Curran; John Blangero; David C Glahn; Yunlong Tan; L Elliot Hong
Journal:  Schizophr Bull       Date:  2021-01-23       Impact factor: 9.306

Review 9.  Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.

Authors:  Leon Stefanovski; Jil Mona Meier; Roopa Kalsank Pai; Paul Triebkorn; Tristram Lett; Leon Martin; Konstantin Bülau; Martin Hofmann-Apitius; Ana Solodkin; Anthony Randal McIntosh; Petra Ritter
Journal:  Front Neuroinform       Date:  2021-04-01       Impact factor: 4.081

10.  Brain Atrophy and Clinical Characterization of Adults With Mild Cognitive Impairment and Different Cerebrospinal Fluid Biomarker Profiles According to the AT(N) Research Framework of Alzheimer's Disease.

Authors:  Miguel Ángel Rivas-Fernández; Mónica Lindín; Montserrat Zurrón; Fernando Díaz; José Manuel Aldrey-Vázquez; Juan Manuel Pías-Peleteiro; Laura Vázquez-Vázquez; Arturo Xosé Pereiro; Cristina Lojo-Seoane; Ana Nieto-Vieites; Santiago Galdo-Álvarez
Journal:  Front Hum Neurosci       Date:  2022-02-25       Impact factor: 3.169

  10 in total

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