Literature DB >> 27444731

Affect of APOE on information processing speed in non-demented elderly population: a preliminary structural MRI study.

Xiao Luo1, Yerfan Jiaerken1, Xinfeng Yu1, Peiyu Huang1, Tiantian Qiu1, Yunlu Jia1, Jianzhong Sun1, Jiong Zhou2, Minming Zhang3.   

Abstract

APOE is one of the strongest genetic factors associated with information processing speed (IPS). Herein, we explored the neural substrates underlying APOE-related IPS alteration by measuring lobar distribution of white matter hyperintensities (WMH), cortical grey matter volume (GMV) and thickness. Using the ADNI database, we evaluated 178 cognitively normal elderly individuals including 34 APOE ε2 carriers, 54 APOE ε4 carriers and 90 ε3 homozygotes. IPS was determined using Trail Making Tests (TMT). We quantified lobar distribution of WMH, cortical GM lobar volume, cortical thickness among three groups. Finally, we used Pearson's correlation and general linear models to examine structural MRI markers in relation to IPS. There were significant differences of IPS among groups, with ε4 carriers displaying the worst performance. Across groups, significant differences in frontal and parietal WMH load were observed (the highest in ε4 carriers); however, no significant differences in cortical GMV and thickness were found. Pearson's correlation analysis showed parietal WMH volume was significantly related with IPS, especially in ε4 carriers. Subsequently a general linear model demonstrated that parietal WMH volume, age and the interaction between parietal WMH volume and age, was significantly associated with IPS, even after adjusting total intracranial volume (TIV), gender and vascular risk factors. Disruption of WM structure, rather than atrophy of GM, plays a more critical role in APOE ε4 allele-specific IPS. Moreover, specific WMH loci are closely associated with IPS; increased parietal WMH volume, especially in ε4 carriers, was independently contributed to slower IPS.

Entities:  

Keywords:  APOE; Information processing speed; Surface-based analysis; Voxel-based morphometry (VBM); White matter hyperintensities

Mesh:

Substances:

Year:  2017        PMID: 27444731     DOI: 10.1007/s11682-016-9571-0

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  10 in total

1.  Associations between APOE genotype and cerebral small-vessel disease: a longitudinal study.

Authors:  Xiao Luo; Yerfan Jiaerken; Xinfeng Yu; Peiyu Huang; Tiantian Qiu; Yunlu Jia; Kaicheng Li; Xiaojun Xu; Zhujing Shen; Xiaojun Guan; Jiong Zhou; Minming Zhang; For The Alzheimer's Disease Neuroimaging Initiative Adni
Journal:  Oncotarget       Date:  2017-07-04

2.  Decreased Bilateral FDG-PET Uptake and Inter-Hemispheric Connectivity in Multi-Domain Amnestic Mild Cognitive Impairment Patients: A Preliminary Study.

Authors:  Xiao Luo; Kaicheng Li; Qingze Zeng; Peiyu Huang; Yeerfan Jiaerken; Tiantian Qiu; Xiaojun Xu; Jiong Zhou; Jingjing Xu; Minming Zhang
Journal:  Front Aging Neurosci       Date:  2018-06-05       Impact factor: 5.750

3.  Medial temporal lobe atrophy and posterior atrophy scales normative values.

Authors:  Matteo Cotta Ramusino; Daniele Altomare; Ruggero Bacchin; Silvia Ingala; Claudio Bnà; Matteo Bonetti; Alfredo Costa; Frederik Barkhof; Valentina Nicolosi; Cristina Festari; Giovanni B Frisoni; Marina Boccardi
Journal:  Neuroimage Clin       Date:  2019-07-15       Impact factor: 4.881

4.  Patterns of white matter hyperintensities associated with cognition in middle-aged cognitively healthy individuals.

Authors:  Anna Brugulat-Serrat; Gemma Salvadó; Carole H Sudre; Oriol Grau-Rivera; Marc Suárez-Calvet; Carles Falcon; Gonzalo Sánchez-Benavides; Nina Gramunt; Karine Fauria; M Jorge Cardoso; Frederik Barkhof; José Luis Molinuevo; Juan Domingo Gispert
Journal:  Brain Imaging Behav       Date:  2020-10       Impact factor: 3.978

Review 5.  Apolipoprotein E Genotype e2: Neuroprotection and Its Limits.

Authors:  Hyun Kim; Davangere P Devanand; Scott Carlson; Terry E Goldberg
Journal:  Front Aging Neurosci       Date:  2022-07-14       Impact factor: 5.702

6.  A profile of brain reserve in adults at genetic risk of Alzheimer's disease.

Authors:  Gillian Coughlan; Peter Zhukovsky; Aristotle Voineskos; Cheryl Grady
Journal:  Alzheimers Dement (Amst)       Date:  2021-06-09

7.  Executive Functions in Healthy Older Adults Are Differentially Related to Macro- and Microstructural White Matter Characteristics of the Cerebral Lobes.

Authors:  Sarah Hirsiger; Vincent Koppelmans; Susan Mérillat; Cornelia Erdin; Atul Narkhede; Adam M Brickman; Lutz Jäncke
Journal:  Front Aging Neurosci       Date:  2017-11-30       Impact factor: 5.750

8.  Understanding the association between psychomotor processing speed and white matter hyperintensity: A comprehensive multi-modality MR imaging study.

Authors:  Shuyue Wang; Yeerfan Jiaerken; Xinfeng Yu; Zhujing Shen; Xiao Luo; Hui Hong; Jianzhong Sun; Xiaojun Xu; Ruiting Zhang; Ying Zhou; Min Lou; Peiyu Huang; Minming Zhang
Journal:  Hum Brain Mapp       Date:  2019-11-01       Impact factor: 5.038

9.  Machine-learning method for localization of cerebral white matter hyperintensities in healthy adults based on retinal images.

Authors:  Benny Zee; Yanny Wong; Jack Lee; Yuhua Fan; Jinsheng Zeng; Bonnie Lam; Adrian Wong; Lin Shi; Allen Lee; Chloe Kwok; Maria Lai; Vincent Mok; Alexander Lau
Journal:  Brain Commun       Date:  2021-06-03

10.  MRI biomarkers of small vessel disease and cognition: A cross-sectional study of a cognitively normal Mexican American cohort.

Authors:  Raul Vintimilla; James Hall; Kevin King; Meredith N Braskie; Leigh Johnson; Kristine Yaffe; Arthur W Toga; Sid O'Bryant
Journal:  Alzheimers Dement (Amst)       Date:  2021-10-14
  10 in total

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