Literature DB >> 32662517

Connectome Signatures of Hyperexcitation in Cognitively Intact Middle-Aged Female APOE-ε4 Carriers.

Igor Fortel1, Laura E Korthauer2,3, Zachery Morrissey4, Liang Zhan5,6, Olusola Ajilore4, Ouri Wolfson7, Ira Driscoll2, Dan Schonfeld8, Alex Leow1,4.   

Abstract

Synaptic dysfunction is hypothesized to be one of the earliest brain changes in Alzheimer's disease, leading to "hyperexcitability" in neuronal circuits. In this study, we evaluated a novel hyperexcitation indicator (HI) for each brain region using a hybrid resting-state structural connectome to probe connectome-level excitation-inhibition balance in cognitively intact middle-aged apolipoprotein E (APOE) ε4 carriers with noncarriers (16 male/22 female in each group). Regression with three-way interactions (sex, age, and APOE-ε4 carrier status) to assess the effect of APOE-ε4 on excitation-inhibition balance within each sex and across an age range of 40-60 years yielded a significant shift toward higher HI in female carriers compared with noncarriers (beginning at 50 years). Hyperexcitation was insignificant in the male group. Further, in female carriers the degree of hyperexcitation exhibited significant positive correlation with working memory performance (evaluated via a virtual Morris Water task) in three regions: the left pars triangularis, left hippocampus, and left isthmus of cingulate gyrus. Increased excitation of memory-related circuits may be evidence of compensatory recruitment of neuronal resources for memory-focused activities. In sum, our results are consistent with known Alzheimer's disease sex differences; in that female APOE-ε4 carriers have globally disrupted excitation-inhibition balance that may confer greater vulnerability to disease neuropathology.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permission@oup.com.

Entities:  

Keywords:  Alzheimer’s disease; Ising model; functional connectivity; hyperexcitation; multimodal biomarkers

Mesh:

Substances:

Year:  2020        PMID: 32662517      PMCID: PMC7609923          DOI: 10.1093/cercor/bhaa190

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   4.861


  76 in total

1.  A default mode of brain function.

Authors:  M E Raichle; A M MacLeod; A Z Snyder; W J Powers; D A Gusnard; G L Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

2.  Mild cognitive impairment (MCI) and actual retrieval performance affect cerebral activation in the elderly.

Authors:  Reinhard Heun; Katrin Freymann; Michael Erb; Dirk T Leube; Frank Jessen; Tilo T Kircher; Wolfgang Grodd
Journal:  Neurobiol Aging       Date:  2006-03-13       Impact factor: 4.673

3.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

4.  Neuronal hyperactivity--A key defect in Alzheimer's disease?

Authors:  Marc Aurel Busche; Arthur Konnerth
Journal:  Bioessays       Date:  2015-03-14       Impact factor: 4.345

Review 5.  Synaptic depression and aberrant excitatory network activity in Alzheimer's disease: two faces of the same coin?

Authors:  Jorge J Palop; Lennart Mucke
Journal:  Neuromolecular Med       Date:  2009-10-17       Impact factor: 3.843

6.  Sparse coding and high-order correlations in fine-scale cortical networks.

Authors:  Ifije E Ohiorhenuan; Ferenc Mechler; Keith P Purpura; Anita M Schmid; Qin Hu; Jonathan D Victor
Journal:  Nature       Date:  2010-07-04       Impact factor: 49.962

7.  Resting-state BOLD networks versus task-associated functional MRI for distinguishing Alzheimer's disease risk groups.

Authors:  Adam S Fleisher; Ayesha Sherzai; Curtis Taylor; Jessica B S Langbaum; Kewei Chen; Richard B Buxton
Journal:  Neuroimage       Date:  2009-06-16       Impact factor: 6.556

8.  A characterization of performance by men and women in a virtual Morris water task: a large and reliable sex difference.

Authors:  R S Astur; M L Ortiz; R J Sutherland
Journal:  Behav Brain Res       Date:  1998-06       Impact factor: 3.332

9.  Inferring structural connectivity using Ising couplings in models of neuronal networks.

Authors:  Balasundaram Kadirvelu; Yoshikatsu Hayashi; Slawomir J Nasuto
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

10.  Cascading network failure across the Alzheimer's disease spectrum.

Authors:  David T Jones; David S Knopman; Jeffrey L Gunter; Jonathan Graff-Radford; Prashanthi Vemuri; Bradley F Boeve; Ronald C Petersen; Michael W Weiner; Clifford R Jack
Journal:  Brain       Date:  2015-11-19       Impact factor: 13.501

View more
  1 in total

1.  Inferring excitation-inhibition dynamics using a maximum entropy model unifying brain structure and function.

Authors:  Igor Fortel; Mitchell Butler; Laura E Korthauer; Liang Zhan; Olusola Ajilore; Anastasios Sidiropoulos; Yichao Wu; Ira Driscoll; Dan Schonfeld; Alex Leow
Journal:  Netw Neurosci       Date:  2022-06-01
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.