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Topological Measurements of DWI Tractography for Alzheimer's Disease Detection
2017
Computational and Mathematical Methods in Medicine
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Because of its stereotyped pattern Alzheimer's disease (AD) is a natural benchmark for the study of novel methodologies. ...
We define and assess a diagnostic score to characterize the brain topology and measure the disease effects on a mixed cohort of 52 normal controls (NC) and 47 AD patients, from Alzheimer's Disease Neuroimaging ...
be combined to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). ...
doi:10.1155/2017/5271627
pmid:28352290
pmcid:PMC5352968
fatcat:mgusmsuohbcfpehcebxignp2gy
Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding
[chapter]
2013
Mathematics and Visualization
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Here we chart differences in brain structural networks between normal aging and Alzheimer's disease (AD) using 3-Tesla whole-brain diffusion-weighted images (DWI) from 66 subjects (22 AD/44 normal elderly ...
We found clear disease effects on anatomical network topology in the structural backbone -the so-called 'kcore' -of the anatomical network, defined by varying the nodal degree threshold, k. ...
We also performed whole-brain tractography as described in [5] on the sets of DWI volumes. ...
doi:10.1007/978-3-319-02475-2_18
fatcat:w6jtfg46dbeg7dpcha3rxkqy3q
Genetics of Path Lengths in Brain Connectivity Networks: HARDI-Based Maps in 457 Adults
[chapter]
2012
Lecture Notes in Computer Science
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We defined a new measure, based on Dijkstra's algorithm, to compute path lengths for tracts connecting pairs of cortical regions. ...
We then analyzed a large cohort of healthy twins and show that our path length measure is reliable, heritable, and influenced even in young adults by the Alzheimer's risk gene, CLU. ...
Additional support for algorithm development was provided by NIH R01 grants EB008432, EB008281, and EB007813. ...
doi:10.1007/978-3-642-33530-3_3
pmid:25584366
pmcid:PMC4288784
fatcat:tk4hg5uzjzh2zf46jprizdsxfm
Heritability of brain network topology in 853 twins and siblings
2015
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
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Genetic analysis of these networks may help identify processes giving rise to heritable brain disorders, but we do not yet know which network measures are promising for genetic analyses. ...
Anatomical brain networks change throughout life and with diseases. ...
ACKNOWLEDGMENTS This work was supported in part by NIH Big Data to Knowledge (BD2K) Center of Excellence grant U54 EB020403, funded by a cross-NIH consortium including NIBIB and NCI. ...
doi:10.1109/isbi.2015.7163908
pmid:26413204
pmcid:PMC4578220
dblp:conf/isbi/ZhanJFZPMZMWT15
fatcat:4jmwwba7svbn3fz5mx7hhi6zya
Tractography density and network measures in Alzheimer'S disease
2013
2013 IEEE 10th International Symposium on Biomedical Imaging
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We derived connectivity matrices and network topology measures, for each subject, from whole-brain tractography and cortical parcellations. ...
Brain connectivity declines in Alzheimer's disease (AD), both functionally and structurally. ...
INTRODUCTION Alzheimer's disease (AD) is the most common form of dementia worldwide, and to date has no known cure. ...
doi:10.1109/isbi.2013.6556569
pmid:25404994
pmcid:PMC4232938
fatcat:4dpb4l7nljbitdzqyqxgl56msu
Communication of brain network core connections altered in behavioral variant frontotemporal dementia but possibly preserved in early-onset Alzheimer's disease
2015
Medical Imaging 2015: Image Processing
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Here, we analyzed 1.5-Tesla whole-brain diffusion-weighted images from 64 participants -15 patients with behavioral variant frontotemporal dementia (bvFTD), 19 with early-onset Alzheimer's disease (EOAD ...
The high-cost backbone of the brain, predicted by fiber density and minimally short pathways between brain regions, accounted for 81-92% of the overall brain communication metric in all diagnostic groups ...
Behavioral variant frontotemporal dementia (bvFTD) and early-onset Alzheimer's disease (EOAD) are the two common forms of early-onset dementia in patients less than 65 years of age, and are often characterized ...
doi:10.1117/12.2082352
pmid:25848494
pmcid:PMC4384394
dblp:conf/miip/DaianuJMBJT15
fatcat:bc6ya42qhjas5de3y5w6koh454
Interactions Between Aging and Alzheimer's Disease on Structural Brain Networks
2021
Frontiers in Aging Neuroscience
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Normative aging and Alzheimer's disease (AD) propagation alter anatomical connections among brain parcels. ...
In this study, diffusion-weighted magnetic resonance imaging (MRI) datasets of 139 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were used to document their structural brain ...
The research was supported in part by Natural Science Foundation of Zhejiang Province (LY20E070005, LY17E070007), National Natural Science Foundation of China (51207038) ...
doi:10.3389/fnagi.2021.639795
pmid:34177548
pmcid:PMC8222527
fatcat:mbxfss4zjjb3xkj6u5m23tqahe
Algebraic Connectivity of Brain Networks Shows Patterns of Segregation Leading to Reduced Network Robustness in Alzheimer's Disease
[chapter]
2014
Mathematics and Visualization
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Measures of network topology and connectivity aid the understanding of network breakdown as the brain degenerates in Alzheimer's disease (AD). ...
Using whole-brain tractography, we reconstructed structural connectivity networks representing connections between pairs of cortical regions. ...
ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through contributions from the following: Abbott; Alzheimer's Association; Alzheimer's ...
doi:10.1007/978-3-319-11182-7_6
pmid:26640830
pmcid:PMC4669194
fatcat:zcgqh5nbozdtdb4zz5ivad4cpm
Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease
2015
Neurobiology of Aging
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Characterizing brain changes in Alzheimer's disease (AD) is important for patient prognosis, and for assessing brain deterioration in clinical trials. ...
As an MDP is a compact, low-dimensional representation of white matter organization, we tested the utility of DTI measures along these MDPs as features for support vector machine (SVM) based classification ...
ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through contributions from the following: Abbott; Alzheimer's Association; Alzheimer's ...
doi:10.1016/j.neurobiolaging.2014.05.037
pmid:25444597
pmcid:PMC4283487
fatcat:wyw7upmqsvdbhgpabwnw5uhtty
Breakdown of Brain Connectivity Between Normal Aging and Alzheimer's Disease: A Structural k-Core Network Analysis
2013
Brain Connectivity
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Brain connectivity analyses show considerable promise for understanding how our neural pathways gradually break down in aging and Alzheimer's disease (AD). ...
We computed a variety of measures sensitive to anatomical network topology, including the structural backbone--the so-called "k-core"--of the anatomical network, and the nodal degree. ...
Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ...
doi:10.1089/brain.2012.0137
pmid:23701292
pmcid:PMC3749712
fatcat:s7i6bqcnm5fbjgllbjludflc2u
Connectivity network measures predict volumetric atrophy in mild cognitive impairment
2015
Neurobiology of Aging
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the Alzheimer's Disease Neuroimaging Initiative (ADNI). ...
Diffusion weighted imaging (DWI) and graph theory can be used to evaluate major brain networks, and detect signs of a breakdown in network connectivity. ...
ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through contributions from the following: Abbott; Alzheimer's Association; Alzheimer's ...
doi:10.1016/j.neurobiolaging.2014.04.038
pmid:25444606
pmcid:PMC4276308
fatcat:26tixfgwafexrp77z36oqdc47e
Data-Driven Sequence of Changes to Anatomical Brain Connectivity in Sporadic Alzheimer's Disease
2017
Frontiers in Neurology
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individual: DWI preprocessing → DWI normalization → rigid registration of T1 MRI to DWI → T1 parcelation → anatomically constrained tractography → connectomes based on density of WM neuronal connections ...
Using data from the Alzheimer's Disease Neuroimaging Initiative dataset, we sequence the progressive decline of anatomical connectivity, as quantified by graph-theory metrics, in the Alzheimer's disease ...
be combined to measure the progression of mild cognitive impairment (MCI) and early Alzheimer's disease (AD). ...
doi:10.3389/fneur.2017.00580
pmid:29163343
pmcid:PMC5681907
fatcat:xmt3bhonafcbvjaftpovepxqky
Machine Learning and DWI Brain Communicability Networks for Alzheimer's Disease Detection
2020
Applied Sciences
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Advancements have been recently achieved in the context of Alzheimer's disease (AD) diagnosis through the use of diffusion weighted imaging (DWI) data. ...
for the analysis of biomedical data for finding new disease biomarkers. ...
In particular, a very promising research direction consists in feeding graph-based topological measures into machine learning algorithms so as to automatize the disease detection, e.g., [9] [10] [11] ...
doi:10.3390/app10030934
fatcat:aq4azafeojch3bdj57s534dryi
Effects of Brain Parcellation on the Characterization of Topological Deterioration in Alzheimer's Disease
2019
Frontiers in Aging Neuroscience
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Alzheimer's disease (AD) causes the progressive deterioration of neural connections, disrupting structural connectivity (SC) networks within the brain. ...
20 late mild cognitive impairment (LMCI), and 20 AD patients, from the Alzheimer's Disease Neuroimaging Initiative. ...
Alzheimer's disease (AD) causes the progressive deterioration of neural connections, disrupting structural connectivity (SC) networks within the brain. ...
doi:10.3389/fnagi.2019.00113
pmid:31164815
pmcid:PMC6536693
fatcat:jlnfpkdeofbkno2xkd4ncnm4ya
Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer's Disease: A Diffusion MRI Study with DTI and HARDI Models
2016
Neural Plasticity
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In this paper, we utilized diffusion-weighted imaging (DWI) to detect abnormal topological organization of white matter (WM) structural networks. ...
Alzheimer's disease (AD) is the most common form of dementia in elderly people. It is an irreversible and progressive brain disease. ...
Enrollment criteria included (1) the National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer's Disease and Related Disorder Association (NINCDS/ADRDA) criteria for probable ...
doi:10.1155/2016/2947136
pmid:26881100
pmcid:PMC4737469
fatcat:pod4hbx3jfej7m6uhc23e5osee
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