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Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer's Disease
2019
Entropy
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In this paper, we investigate the connectivity alterations of the subcortical brain network due to Alzheimer's disease (AD). ...
In this work, we examine a mixed cohort including 46 healthy controls (HC) and 40 AD patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI) data set. ...
Materials In this study, we employed data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://adni.loni.usc.edu/). ...
doi:10.3390/e21050475
pmid:33267189
pmcid:PMC7514963
fatcat:6anx7yepxnagbho7rxoj2m6dyq
Alzheimer's disease: Issues worthy of attention
2016
Alzheimer's, dementia & cognitive neurology
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Additionally, numerous studies have demonstrated disrupted functional connectivity within default mode network (DMN) in AD. ...
Of the many non-communicable diseases, dementia is predicted to have the greatest economic and social effect. ...
Additionally, numerous studies have demonstrated disrupted functional connectivity within default mode network (DMN) in AD. ...
doi:10.15761/adcn.1000103
fatcat:2i3m5it4wnh3lopevywwr5pw2y
Machine Learning and DWI Brain Communicability Networks for Alzheimer's Disease Detection
2020
Applied Sciences
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A graph metric particularly suited to describe the disruption of the brain connectivity due to AD is communicability. ...
Advancements have been recently achieved in the context of Alzheimer's disease (AD) diagnosis through the use of diffusion weighted imaging (DWI) data. ...
In [15] , communicability was able to outperform more classic graph measures on a mixed cohort of healthy control (HC) subjects and AD patients from the public Alzheimer's Disease Neuroimaging Initiative ...
doi:10.3390/app10030934
fatcat:aq4azafeojch3bdj57s534dryi
Communicability distance reveals hidden patterns of Alzheimer disease
2020
Network Neuroscience
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The communicability distance between pairs of regions in human brain is used as a quantitative proxy for studying Alzheimer disease. ...
Using this distance we obtain the shortest communicability path lengths between different regions of brain networks from Alzheimer diseased (AD) patients and healthy cohorts (HC). ...
FUNDING INFORMATION Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904) and DOD ADNI (Department ...
doi:10.1162/netn_a_00143
pmid:33195946
pmcid:PMC7655045
fatcat:pc7fnhrjongibfhutkqmvy2cmu
Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders
[article]
2018
bioRxiv
pre-print
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Conversely, disruptions in the brain's connectivity architecture are thought to play an important role in a wide range of psychiatric and neurological brain disorders. ...
Here we show that especially connections important for global communication and network integration are involved in a wide range of brain disorders. ...
However, due to their central 83 embedding in the network, hub regions and associated connections have also been suggested 84 to be generally vulnerable to network disruption 11 and, as a result, disproportionally ...
doi:10.1101/360586
fatcat:eofyw5iisfedfc2ymrypo43sqa
Communicability distance reveals hidden patterns of Alzheimer disease
[article]
2020
bioRxiv
pre-print
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The communicability distance between pairs of regions in human brain is used as a quantitative proxy for studying Alzheimer disease. ...
Using this distance we obtain the shortest communicability path lengths between different regions of brain networks from Alzheimer diseased (AD) patients and healthy cohorts (HC). ...
That is, we will provide a theoretical connection between the network communicability and the probability of a disease factor of propagating from one node to another in a network. ...
doi:10.1101/2020.04.07.029249
fatcat:nvoscnpeqzbudajznaomzeygky
Ganoderma lucidum Modulates Neuronal Distorted Cytoskeletal Proteomics and Protein-Protein Interaction in Alzheimer's Disease Model Animals
2020
Archives in Neurology & Neuroscience
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Alzheimer's disease (AD) is the leading neurodegenerative disorder affecting memory, learning and behavior. ...
pattern in AD model rats. ...
Recently, utilization of G. lucidum in ameliorating neurodegenerative diseases like Alzheimer's disease (AD), have received epoch-making attention [8] . ...
doi:10.33552/ann.2020.09.000713
fatcat:4ipii4uxs5dl7py2hzmnlozawu
Network analysis detects changes in the contralesional hemisphere following stroke
2011
NeuroImage
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Changes in brain structure occur in remote regions following focal damage such as stroke. Such changes could disrupt processing of information across widely distributed brain networks. ...
We applied complex network analysis to calculate 'communicability', a measure of the ease with which information can travel across a network. ...
Complex network analysis approaches have recently been shown to be sensitive to subtle pathology in a number of neurological and neuropsychiatric disorders including Alzheimer's Disease (He et al., 2008 ...
doi:10.1016/j.neuroimage.2010.08.032
pmid:20728543
pmcid:PMC3677803
fatcat:ccki4w7oajewve3fiufhebrryi
Brain networks under attack: robustness properties and the impact of lesions
2016
Brain
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In particular, damage to network hub regions -and especially those connecting different sub-networks -was found to cause the largest disturbances in network organization. ...
Furthermore, large-scale network effects of these focal lesions are compared to those of a widely studied multifocal neurodegenerative disorder, Alzheimer's disease, in which central parts of the connectome ...
those observed in patients with Alzheimer's disease. ...
doi:10.1093/brain/aww194
pmid:27497487
fatcat:wybbsc7lcjhildr2t6upgvmyu4
Redundancy as a Graph-Based Index of Frequency Specific MEG Functional Connectivity
2012
Computational and Mathematical Methods in Medicine
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We used a recently proposed graph index to investigate connectivity redundancy in resting state MEG recordings. ...
The redundancy in the MEG networks, for each frequency band, was significantly (P<0.05) higher than in the random graphs, thus, confirming a natural tendency of the brain to present multiple interaction ...
during brain development in the first span and in healthy aging [6] in the last part of life, as well as brain injuries or diseases (e.g., Alzheimer's disease, brain tumors, etc ...
doi:10.1155/2012/207305
pmid:23118799
pmcid:PMC3480692
fatcat:5fch2fk4xjd5bo6coh4lvjvoz4
The Structural and Functional Connectome and Prediction of Risk for Cognitive Impairment in Older Adults
2015
Current Behavioral Neuroscience Reports
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those found in Alzheimer's disease (AD), patients with mild cognitive impairment (MCI), and finally in people classified as being Bat risk^. ...
The human connectome refers to a comprehensive description of the brain's structural and functional connections in terms of brain networks. ...
Using Connectomics to Study Alzheimer's Disease As dementia continues to become more prevalent, the field of brain connectomics is quickly evolving to not only study human connectome disruptions that occur ...
doi:10.1007/s40473-015-0056-z
pmid:27034914
pmcid:PMC4809258
fatcat:56knflkfyjhnph3dxvlcnlfp6y
Resiliency of EEG-Based Brain Functional Networks
2015
PLoS ONE
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Brain functional networks extracted from EEG time series have been frequently studied in health and diseases. In this manuscript, we studied failure resiliency of EEG-based brain functional networks. ...
Applying tools available in network science and graph theory to study brain networks has opened a new era in understanding brain mechanisms. ...
Analysis of brain networks in health and disease has revealed that their structure might be disrupted in brain disorders such as epilepsy [10] , Parkinson's disease [11] , schizophrenia [9, 12] , Alzheimer's ...
doi:10.1371/journal.pone.0135333
pmid:26295341
pmcid:PMC4546659
fatcat:lxg7sxoq4feslnekp73wumr47q
A Network Flow-based Analysis of Cognitive Reserve in Normal Ageing and Alzheimer's Disease
2015
Scientific Reports
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Accordingly, patients with high education levels show more deterioration in structural brain connectivity than those with low education levels before symptoms of Alzheimer's disease (AD) become apparent ...
For example, Katzman et al. 2 observed advanced pathology of Alzheimer's disease (AD) from brains of ten cognitively normal people at their death. ...
AD patients fulfilled the criteria for probable Alzheimer's disease proposed by the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders ...
doi:10.1038/srep10057
pmid:25992968
pmcid:PMC4438712
fatcat:234a37bwhfgpxfoqre4cxb74xq
Recent Development in Disease Diagnosis by Information, Communication and Technology
2020
Journal of Clinical and Diagnostic Research
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The major causes of life threats reported in literature are; heart and brain diseases. ...
The usage of Information, Communication and Technology (ICT) in health sector has a great potential in improving the health of individuals and communities, disease detection, prevention and overall strengthening ...
Anticorrelation shows the empirical evidence of anteriorposterior disruption in brain connectivity in ASD. ...
doi:10.7860/jcdr/2020/43331.13535
fatcat:ckz6wcgmjnan5fkiok5zvoywky
Functional Brain Networks: Does the Choice of Dependency Estimator and Binarization Method Matter?
2016
Scientific Reports
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In this work we study topological properties of EEG-based functional networks in Alzheimer's Disease (AD). ...
Various brain disorders have been shown to disrupt statistical and dynamical properties of its network structure, such as Alzheimer's Disease (AD) 4 , schizophrenia 9 , epilepsy 10 , early blindness 11 ...
Results Global communicability. ...
doi:10.1038/srep29780
pmid:27417262
pmcid:PMC4945914
fatcat:xx5kpm3b2fccviifona72imdym
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