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Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer's Disease

Eufemia Lella, Nicola Amoroso, Domenico Diacono, Angela Lombardi, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
2019 Entropy  
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

Can Sheng
2016 Alzheimer's, dementia & cognitive neurology  
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

Eufemia Lella, Angela Lombardi, Nicola Amoroso, Domenico Diacono, Tommaso Maggipinto, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
2020 Applied Sciences  
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

Eufemia Lella, Ernesto Estrada
2020 Network Neuroscience  
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]

Siemon C. de Lange, Lianne H Scholtens, Leonard H. van den Berg, Marco P. Boks, Marco Bozzali, Wiepke Cahn, Udo Dannlowski, Sarah Durston, Elbert Geuze, Neeltje E.M. van Haren, Manon H.J. Hillegers, Kathrin Koch (+9 others)
2018 bioRxiv   pre-print
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]

Eufemia Lella, Ernesto Estrada
2020 bioRxiv   pre-print
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

Mohammad Azizur Rahman
2020 Archives in Neurology & Neuroscience  
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

J.J. Crofts, D.J. Higham, R. Bosnell, S. Jbabdi, P.M. Matthews, T.E.J. Behrens, H. Johansen-Berg
2011 NeuroImage  
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

Hannelore Aerts, Wim Fias, Karen Caeyenberghs, Daniele Marinazzo
2016 Brain  
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

Claudia Di Lanzo, Laura Marzetti, Filippo Zappasodi, Fabrizio De Vico Fallani, Vittorio Pizzella
2012 Computational and Mathematical Methods in Medicine  
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

Joey A. Contreras, Joaquín Goñi, Shannon L. Risacher, Olaf Sporns, Andrew J. Saykin
2015 Current Behavioral Neuroscience Reports  
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

Mahdi Jalili, Michal Zochowski
2015 PLoS ONE  
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

Sang Wook Yoo, Cheol E. Han, Joseph S. Shin, Sang Won Seo, Duk L. Na, Marcus Kaiser, Yong Jeong, Joon-Kyung Seong
2015 Scientific Reports  
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

Shabana Urooj, Astha Sharma, Chitransh Sinha, Fadwa Alrowais
2020 Journal of Clinical and Diagnostic Research  
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?

Mahdi Jalili
2016 Scientific Reports  
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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