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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.  ...  Acknowledgments: We wish to thank Robert Smith of the Florey Institute of Neuroscience and Mental Health,  ... 
doi:10.3390/e21050475 pmid:33267189 pmcid:PMC7514963 fatcat:6anx7yepxnagbho7rxoj2m6dyq

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  
Advancements have been recently achieved in the context of Alzheimer's disease (AD) diagnosis through the use of diffusion weighted imaging (DWI) data.  ...  The results obtained confirm that the whole brain structural communicability alterations due to AD are a valuable biomarker for the characterization and investigation of pathological conditions.  ...  diseases investigation.This issue was partially addressed in [16] , where we focused only on the subcortical sub-network.  ... 
doi:10.3390/app10030934 fatcat:aq4azafeojch3bdj57s534dryi

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  
The human connectome refers to a comprehensive description of the brain's structural and functional connections in terms of brain networks.  ...  those found in Alzheimer's disease (AD), patients with mild cognitive impairment (MCI), and finally in people classified as being Bat risk^.  ...  Connectome-wide analyses hold promise of an unbiased means of characterizing brain network disturbances during manifest disease and in early preclinical and prodromal stages before onset of significant  ... 
doi:10.1007/s40473-015-0056-z pmid:27034914 pmcid:PMC4809258 fatcat:56knflkfyjhnph3dxvlcnlfp6y

Innovative MRI Techniques in Neuroimaging Approaches for Cerebrovascular Diseases and Vascular Cognitive Impairment

Lorenzo Carnevale, Giuseppe Lembo
2019 International Journal of Molecular Sciences  
Different strategies of imaging can be combined to obtain various parameters: (i) measures of cortical and subcortical structures (cortical thickness, subcortical structures volume); (ii) evaluation of  ...  characterize the cerebrovascular network into specific and sensitive biomarkers.  ...  To face this emergency, the World Health Organization (WHO) has declared all non-communicable diseases a threat to the world population [1] .  ... 
doi:10.3390/ijms20112656 fatcat:uitkgieb7vfmhac3m3557sqptm

Optimally controlling the human connectome: the role of network topology

Richard F. Betzel, Shi Gu, John D. Medaglia, Fabio Pasqualetti, Danielle S. Bassett
2016 Scientific Reports  
We also show that the network communicability, a measure of direct and indirect connectedness between brain regions, predicts the extent to which brain regions compensate when input to another region is  ...  How does the brain's network of anatomical connections help facilitate such transitions? Which features of this network contribute to making one transition easy and another transition difficult?  ...  determined by DWI signal in the colony-stimulating factor.  ... 
doi:10.1038/srep30770 pmid:27468904 pmcid:PMC4965758 fatcat:lgllgyxujrg5fnwwykirfqdkuq

Cerebral Small Vessel Disease (CSVD) – Lessons From the Animal Models

Muzaimi Mustapha, Che Mohd Nasril Che Mohd Nassir, Niferiti Aminuddin, Amanina Ahmad Safri, Mazira Mohamad Ghazali
2019 Frontiers in Physiology  
Unlike large vessels, it is a challenge to visualize small vessels in vivo, hence the difficulty to directly monitor the natural progression of the disease.  ...  Growing evidence has also shown a significant association between CSVD's radiological manifestation with dementia and Alzheimer's disease (AD) pathology.  ...  In fact, a recent systematic review had concluded that some neuroimaging features of CSVD are associated with an increased risk of Alzheimer's disease (AD), a disease clinically characterized by cognitive  ... 
doi:10.3389/fphys.2019.01317 pmid:31708793 pmcid:PMC6822570 fatcat:yai67wsazjbx5duwd5egbf5abi

Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, Aisha B. Rahman, Md. Shahriar Kamal, Masbah Uddin Toha, Kyung-Sup Kwak
2021 IEEE Access  
In this study, we present a review on recent machine learning and deep learning approaches in detecting four brain diseases such as Alzheimer's disease (AD), brain tumor, epilepsy, and Parkinson's disease  ...  Detection of brain diseases at an early stage can make a huge difference in attempting to cure them.  ...  The outcome of this study suggests that the alterations in the brain's structural communicability because of AD, can be a worthful biomarker to characterize pathological conditions.  ... 
doi:10.1109/access.2021.3062484 fatcat:lmhp34ad3zdexb5y4bt5ksntia

Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: a review [article]

Fan Zhang, Alessandro Daducci, Yong He, Simona Schiavi, Caio Seguin, Robert Smith, Chun-Hung Yeh, Tengda Zhao, Lauren J. O'Donnell
2021 arXiv   pre-print
In this paper, we provide a high-level overview of how tractography is used to enable quantitative analysis of the brain's structural connectivity in health and disease.  ...  We first provide a review of methodology involved in three main processing steps that are common across most approaches for quantitative analysis of tractography, including methods for tractography correction  ...  CHY is grateful to the Ministry of Science and Technology of Taiwan (MOST 109-2222-E-182-001-MY3) for the support.  ... 
arXiv:2104.11644v1 fatcat:l3ixpcwu7jb7zcqo2sm5pswmja

Using brain connectomics to detect functional connectivity differences in Alzheimer's disease [article]

Joey Annette Contreras, IUPUI University Library, IUPUI # Defaults To Publisher, Karmen K. Yoder, Andrew J. Saykin, Joaquín Goñi Cortes, Olaf Sporns, Mario Dzemidzic, Li Shen
2017
Prodromal Alzheimer's disease (AD) has recently been identified as a disease state where pathophysiological changes may progress despite the absence of significant clinical symptoms.  ...  More recently, the exploration of RSNs in disease states have proved promising since they have been reliably altered when compared to a control population.  ...  Accepted by the Graduate Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy.  ... 
doi:10.7912/c2/2071 fatcat:lsmtswnk65aoxffruuqiqeotga

Poster Session II / Thursday, 31 May 2007

2007 Cerebrovascular Diseases  
Participants and methods: For 10,232 men of diverse countries of origin, civil servants and municipal employees, who participated in the Israeli Ischemic Heart Disease (IHD) study in 1963, extensive demographic  ...  An appreciation of this has made antiplatelet therapy the cornerstone of cardiovascular disease management.  ...  Background: Sneddon's syndrome is a non inflammatory arteriopathy characterized by livedo reticularis and cerebrovascular disease.  ... 
doi:10.1159/000103855 fatcat:t3rudj4am5bedhko32y7sqgxsu

2nd International Congress on Neurology and Epidemiology

2012 Neuroepidemiology  
Distinct Patterns of Spontaneous Speech Decline in Probable Alzheimer's Disease Jung-Wan K.  ...  The discovery of APOE denoted the first gene to be involved in the more common non-mendelian form of Alzheimer's disease.  ...  of treatment strategies for this devastating disease in the post soviet countries such as the Nakhichevan Autonomous Republic of Azerbaijan.  ... 
doi:10.1159/000343765 pmid:23128512 fatcat:zlibc2hggzhknbgves2mvspkqi

ABSTRACT OF CONFERENCES

Srijit Das, Department of Anatomy, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Jalan Yaacob Latif, Bandar Tun Razak, 56000 Cheras, Kuala Lumpur, Malaysia.
2019 Medicine & Health  
cause of obesity-related non-communicable diseases, in particular cardiovascular diseases.  ...  intricate network will result in ageing and disease state.  ... 
doi:10.17576/mh.2018.s1302 fatcat:bw564emkujdajmltgtdh5inkfu

3rd International Congress on Neurology and Epidemiology. Abu Dhabi, UAE, November 21–23, 2013: Abstracts

2013 Neuroepidemiology  
Higher iron concentration in subcortical gray matter structures is documented in HD.  ...  SS3: Dementia and Alzheimer's Disease: Prevention, Early Diagnoses and Treatment SS3-2 EARLY DETECTION OF ALZHEIMER'S DISEASE Andreasen N.  ...  interest turns towards the prevention and management of non-communicable diseases, it is important to note that these diseases are of significant clinical relevance in developing countries also (1, 2)  ... 
doi:10.1159/000356326 fatcat:cwvmef3j4bgbxctcrlbsfml4da

Poster Session 2, Monday 27 September

2010 European Journal of Neurology  
the pathophysiology of Alzheimer's disease (AD).  ...  Since cognitive functions are mediated by spatially distributed neural networks, it seems necessary to take a global network approach to understand the phenomenology of the disease.  ...  Both groups underwent structural brain MRI (T1,T2*,FLAIR, DWI/ADC) and single-voxel 1H-MRS examination of both frontal lobes and upper brainstem (the patient group within 96h after injury).  ... 
doi:10.1111/j.1468-1331.2010.03233.x fatcat:lsellp2xyvc77c7gr7qbzu6coi

The topology of structural brain connectivity in diseases and spatio-temporal connectomics

Alessandra Griffa
2015
for early diagnosis of brain diseases.  ...  First, we have contributed to the characterization of the human connectome in health and pathologies by adapting and developing network measures for the description of the brain architecture at different  ...  The majority of the work presented in this Part III is unpublished. Preliminary results can be found in (Griffa et al., 2015b) .  ... 
doi:10.5075/epfl-thesis-6586 fatcat:sf3psydfxbasdiqjvj3fpw2xj4
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