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Topological Measurements of DWI Tractography for Alzheimer's Disease Detection

Nicola Amoroso, Alfonso Monaco, Sabina Tangaro, Alzheimer's Disease Neuroimaging Initiative
2017 Computational and Mathematical Methods in Medicine  
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]

Madelaine Daianu, Emily L. Dennis, Neda Jahanshad, Talia M. Nir, Arthur W. Toga, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
2013 Mathematics and Visualization  
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]

Neda Jahanshad, Gautam Prasad, Arthur W. Toga, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Margaret J. Wright, Paul M. Thompson
2012 Lecture Notes in Computer Science  
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

L. Zhan, N. Jahanshad, J. Faskowitz, D. Zhu, G. Prasad, N. G. Martin, G. I. de Zubicaray, K. L. McMahon, M. J. Wright, P. M. Thompson
2015 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)  
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

Gautam Prasad, Talia M. Nir, Arthur W. Toga, Paul M. Thompson
2013 2013 IEEE 10th International Symposium on Biomedical Imaging  
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

Madelaine Daianu, Neda Jahanshad, Mario F. Mendez, George Bartzokis, Elvira E. Jimenez, Paul M. Thompson, Sébastien Ourselin, Martin A. Styner
2015 Medical Imaging 2015: Image Processing  
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

Zhanxiong Wu, Yunyuan Gao, Thomas Potter, Julia Benoit, Jian Shen, Paul E. Schulz, Yingchun Zhang, and The Alzheimer's Disease Neuroimaging Initiative
2021 Frontiers in Aging Neuroscience  
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]

Madelaine Daianu, Neda Jahanshad, Talia M. Nir, Cassandra D. Leonardo, Clifford R. Jack, Michael W. Weiner, Matt A. Bernstein, Paul M. Thompson
2014 Mathematics and Visualization  
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

Talia M. Nir, Julio E. Villalon-Reina, Gautam Prasad, Neda Jahanshad, Shantanu H. Joshi, Arthur W. Toga, Matt A. Bernstein, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
2015 Neurobiology of Aging  
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

Madelaine Daianu, Neda Jahanshad, Talia M. Nir, Arthur W. Toga, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson, for the Alzheimer's Disea
2013 Brain Connectivity  
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

Talia M. Nir, Neda Jahanshad, Arthur W. Toga, Matt A. Bernstein, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
2015 Neurobiology of Aging  
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

Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Jason D. Warren, Jonathan M. Schott, Daniel C. Alexander
2017 Frontiers in Neurology  
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

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.  ...  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

Zhanxiong Wu, Dong Xu, Thomas Potter, Yingchun Zhang
2019 Frontiers in Aging Neuroscience  
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

Tao Wang, Feng Shi, Yan Jin, Pew-Thian Yap, Chong-Yaw Wee, Jianye Zhang, Cece Yang, Xia Li, Shifu Xiao, Dinggang Shen
2016 Neural Plasticity  
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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