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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 used accelerated tractography to compute a large number of fibers to understand what effect fiber density has on network measures and in distinguishing different disease groups in our data.  ...  Brain connectivity declines in Alzheimer's disease (AD), both functionally and structurally.  ...  Acknowledgments Supported by NIH grants R01 MH097268, AG040060, EB008432, U01 AG024904, and P41 EB015922.  ... 
doi:10.1109/isbi.2013.6556569 pmid:25404994 pmcid:PMC4232938 fatcat:4dpb4l7nljbitdzqyqxgl56msu

Neuroimaging insights into network-based neurodegeneration

Michael D. Greicius, Daniel L. Kimmel
2012 Current Opinion in Neurology  
Recent work applying theoretical measures of network efficiency to in-vivo network imaging has allowed for the development and evaluation of models of disease spread along networks.  ...  Purpose of review Convergent evidence from a number of neuroscience disciplines supports the hypothesis that Alzheimer's disease and other neurodegenerative disorders progress along brain networks.  ...  Structural connectivity maps have proven useful in distinguishing Alzheimer's disease patients from controls [43 & ] and, with higher order network measures described below, in distinguishing healthy  ... 
doi:10.1097/wco.0b013e32835a26b3 pmid:23108250 fatcat:hkma2in4vvdsvdpvjpfuzyervy

Flow-based network measures of brain connectivity in Alzheimer'S disease

Gautam Prasad, Shantanu H. Joshi, Talia M. Nir, Arthur W. Toga, Paul M. Thompson
2013 2013 IEEE 10th International Symposium on Biomedical Imaging  
Network measures such as global efficiency, transitivity, path length, mean degree, density, modularity, small world, and assortativity are computed from the flow connectivity matrix.  ...  Experimental results showed better performance compared to the standard fiber-counting methods when distinguishing Alzheimer's disease from normal aging.  ...  Acknowledgments Supported by NIH grants R01 MH097268, AG040060, EB008432, U01 AG024904, P41 EB015922, and R01 MH094343.  ... 
doi:10.1109/isbi.2013.6556461 pmid:25067993 pmcid:PMC4109645 fatcat:bbgkhgkganbhhk7azpxfgb4sxa

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  
Such network models typically use networks based on functional or structural connectivity in young and healthy individuals, and only end-stage patterns of pathology, thereby ignoring/excluding the effects  ...  Ours is the first single model to contribute to understanding all three of the nature, the location, and the sequence of changes to anatomical connectivity in the human brain due to 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

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  
Fiber tractography methods can infer neural pathways and connectivity patterns, yielding sensitive mathematical metrics of network integrity.  ...  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  ...  Cost and density network metrics may be reduced in disease leading to an altered global topology as seen in bvFTD participants (as expected), but not in EOAD.  ... 
doi:10.1117/12.2082352 pmid:25848494 pmcid:PMC4384394 dblp:conf/miip/DaianuJMBJT15 fatcat:bc6ya42qhjas5de3y5w6koh454

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 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.  ...  Here we combined genotyping, anatomical MRI and HARDI to understand how our genes influence the cortical connections, using whole-brain tractography.  ...  Acknowledgments This study was supported by the National Institute of Child Health and Human Development (R01 HD050735), and the National Health and Medical Research Council (NHMRC 486682), Australia.  ... 
doi:10.1007/978-3-642-33530-3_3 pmid:25584366 pmcid:PMC4288784 fatcat:tk4hg5uzjzh2zf46jprizdsxfm

Brain network efficiency is influenced by pathological source of corticobasal syndrome [article]

John D. Medaglia, Weiyu Huang, Santiago Segarra, Christopher Olm, James Gee, Murray Grossman, Alejandro Ribeiro, Corey T. McMillan, Danielle S. Bassett
2016 arXiv   pre-print
A support vector machine procedure demonstrates that gray matter density poorly discriminates between frontotemporal lobar degeneration and Alzheimer's disease pathology subgroups with low sensitivity  ...  Multimodal neuroimaging studies of corticobasal syndrome using volumetric MRI and DTI successfully discriminate between Alzheimer's disease and frontotemporal lobar degeneration but this evidence has typically  ...  Conclusion Local network topology in a distributed fronto-temporo-parietal system dissociates Alzheimer's disease from frontotemporal lobar degeneration in corticobasal syndrome.  ... 
arXiv:1601.07867v1 fatcat:kytuyqbtgvf3ndikt72jqfckpa

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).  ...  Among other connectivity measures showing disease effects, network nodal degree, normalized characteristic path length, and efficiency decreased with disease, while normalized small-worldness increased  ...  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

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).  ...  These measures are sensitive to diagnostic group differences, and may help understand the complex changes in AD.  ...  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

Graph theoretical modeling of brain connectivity

Yong He, Alan Evans
2010 Current Opinion in Neurology  
Importantly, these quantifiable network properties were found to change during normal development, aging, and various neurological and neuropsychiatric diseases such as Alzheimer's disease and schizophrenia  ...  Purpose of review In recent years, there has been an explosion of studies on network modeling of brain connectivity.  ...  Acknowledgements The study was conducted with partial support from the Natural Science Foundation of China (grant 30870667), Beijing Natural Science Foundation (grant 7102090), and the Scientific Research  ... 
doi:10.1097/wco.0b013e32833aa567 pmid:20581686 fatcat:tnvxcjz3rfbxvm3juzmsijmnxy

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)  
Anatomical brain networks change throughout life and with diseases.  ...  We fitted genetic structural equation models to all nine network measures, after a normalization step to increase network consistency across tractography algorithms.  ...  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

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.  ...  Here we studied anatomical fiber networks in 44 controls and 22 identically scanned people with Alzheimer's disease (AD) using novel mathematical network metrics derived from the 'structural backbone'  ... 
doi:10.1007/978-3-319-02475-2_18 fatcat:w6jtfg46dbeg7dpcha3rxkqy3q

Brain connectivity and novel network measures for Alzheimer's disease classification

Gautam Prasad, Shantanu H. Joshi, Talia M. Nir, Arthur W. Toga, Paul M. Thompson
2015 Neurobiology of Aging  
We compare a variety of different anatomical connectivity measures, including several novel ones, that may help in distinguishing Alzheimer's disease patients from controls.  ...  We first evaluated measures derived from connectivity matrices based on whole-brain tractography; next, we studied additional network measures based on a novel flowbased measure of brain 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.2014.04.037 pmid:25264345 pmcid:PMC4276322 fatcat:l5b7cltbyvesbdss43um7f5kmm

Discriminative fusion of multiple brain networks for early mild cognitive impairment detection

Qi Wang, Liang Zhan, Paul M. Thompson, Hiroko H. Dodge, Jiayu Zhou
2016 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)  
In neuroimaging research, brain networks derived from different tractography methods may lead to different results and perform differently when used in classification tasks.  ...  network models.  ...  Funded in part by NIH ENIGMA Center grant U54 EB020403, supported by the Big Data to Knowledge (BD2K) Centers of Excellence program, and ONR grant N00014-14-1-0631.  ... 
doi:10.1109/isbi.2016.7493332 dblp:conf/isbi/WangZTDZ16 fatcat:vqd3qzk6jrerfed3cxei5s7yfy

Alzheimer's disease disrupts rich club organization in brain connectivity networks

Madelaine Daianu, Emily L. Dennis, Neda Jahanshad, Talia M. Nir, Arthur W. Toga, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
2013 2013 IEEE 10th International Symposium on Biomedical Imaging  
Diffusion imaging and brain connectivity analyses can monitor white matter deterioration, revealing how neural pathways break down in aging and Alzheimer's disease (AD).  ...  As expected, AD patients had a lower nodal degree (average number of connections) in cortical regions implicated in the disease. Unexpectedly, the normalized rich club coefficient was higher in AD.  ...  Introduction Alzheimer's Disease (AD) is a progressive, degenerative brain disease affecting around 1 in 8 people (13%) aged 65 or older [1] .  ... 
doi:10.1109/isbi.2013.6556463 pmid:24953139 pmcid:PMC4063983 dblp:conf/isbi/DaianuDJNTJWT13 fatcat:2jctckbbsfh3zms33qnaida37e
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