Literature DB >> 22207633

Investigating the neural correlates of pathological cortical networks in Alzheimer's disease using heterogeneous neuronal models.

Kamal Abuhassan1, Damien Coyle, Liam P Maguire.   

Abstract

This paper describes an investigation into the pathophysiological causes of abnormal cortical oscillations in Alzheimer's disease (AD) using two heterogeneous neuronal network models. The effect of excitatory circuit disruption on the beta band power (13-30 Hz) using a conductance-based network model of 200 neurons is assessed. Then, the neural correlates of abnormal cortical oscillations in different frequency bands based on a larger network model of 1000 neurons consisting of different types of cortical neurons are also analyzed. EEG studies in AD patients have shown that beta band power (13-30 Hz) decreased in the early stages of the disease with a parallel increase in theta band power (4-7 Hz). This abnormal change progresses with the later stages of the disease but with decreased power spectra in other fast frequency bands plus an increase in delta band power (1-3 Hz). Our results show that, despite the heterogeneity of the network models, the beta band power is significantly affected by excitatory neural and synaptic loss. Second, the results of modeling a functional impairment in the excitatory circuit shows that beta band power exhibits the most decrease compared with other bands. Previous biological experiments on different types of cultural excitatory neurons show that cortical neuronal death is mediated by dysfunctional ionic behavior that might specifically contribute to the pathogenesis of β-amyloid-peptide-induced neuronal death in AD. Our study also shows that beta band power was the first affected component when the modeled excitatory circuit begins to lose neurons and synapses.

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Year:  2011        PMID: 22207633     DOI: 10.1109/TBME.2011.2181843

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  Assessing dynamic spectral causality by lagged adaptive directed transfer function and instantaneous effect factor.

Authors:  Haojie Xu; Yunfeng Lu; Shanan Zhu; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-07       Impact factor: 4.538

2.  Integration of network topological and connectivity properties for neuroimaging classification.

Authors:  Biao Jie; Daoqiang Zhang; Wei Gao; Qian Wang; Chong-Yaw Wee; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2014-02       Impact factor: 4.538

3.  Compensating for synaptic loss in Alzheimer's disease.

Authors:  Kamal Abuhassan; Damien Coyle; Ammar Belatreche; Liam Maguire
Journal:  J Comput Neurosci       Date:  2013-06-02       Impact factor: 1.621

4.  Compensating for thalamocortical synaptic loss in Alzheimer's disease.

Authors:  Kamal Abuhassan; Damien Coyle; Liam Maguire
Journal:  Front Comput Neurosci       Date:  2014-06-17       Impact factor: 2.380

5.  Eyes-closed task-free electroencephalography in clinical trials for Alzheimer's disease: an emerging method based upon brain dynamics.

Authors:  Elisabeth Cw van Straaten; Philip Scheltens; Alida A Gouw; Cornelis J Stam
Journal:  Alzheimers Res Ther       Date:  2014-12-19       Impact factor: 6.982

6.  Magnetoencephalography for the Detection of Intervention Effects of a Specific Nutrient Combination in Patients with Mild Alzheimer's Disease: Results from an Exploratory Double-Blind, Randomized, Controlled Study.

Authors:  Elisabeth C W van Straaten; Hanneke de Waal; Marieke M Lansbergen; Philip Scheltens; Fernando Maestu; Rafal Nowak; Arjan Hillebrand; Cornelis J Stam
Journal:  Front Neurol       Date:  2016-10-17       Impact factor: 4.003

7.  Dysregulation of excitatory neural firing replicates physiological and functional changes in aging visual cortex.

Authors:  Seth Talyansky; Braden A W Brinkman
Journal:  PLoS Comput Biol       Date:  2021-01-26       Impact factor: 4.475

Review 8.  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

Review 9.  Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders.

Authors:  Daniela Gandolfi; Giulia Maria Boiani; Albertino Bigiani; Jonathan Mapelli
Journal:  Int J Mol Sci       Date:  2021-04-27       Impact factor: 5.923

10.  Atrophy of amygdala and abnormal memory-related alpha oscillations over posterior cingulate predict conversion to Alzheimer's disease.

Authors:  Laura Prieto Del Val; Jose L Cantero; Mercedes Atienza
Journal:  Sci Rep       Date:  2016-08-22       Impact factor: 4.379

  10 in total

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