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Age-Related Regional Network Covariance of Magnetic Resonance Imaging Gray Matter in the Rat

Gene E. Alexander, Lan Lin, Eriko S. Yoshimaru, Pradyumna K. Bharadwaj, Kaitlin L. Bergfield, Lan T. Hoang, Monica K. Chawla, Kewei Chen, James R. Moeller, Carol A. Barnes, Theodore P. Trouard
2020 Frontiers in Aging Neuroscience  
We investigated 7.0T MRI gray matter covariance in 10 young and 10 aged adult male Fischer 344 rats to identify, using SSM VBM, the age-related regional network gray matter covariance pattern in the rodent  ...  Greater expression of the age-related MRI gray matter pattern was associated with poorer spatial learning in the age groups combined.  ...  ACKNOWLEDGMENTS We are grateful for support from the National Institute on Aging at the National Institutes of Health, the state of Arizona and Arizona Department of Health Services, the Arizona Advanced  ... 
doi:10.3389/fnagi.2020.00267 pmid:33005147 pmcid:PMC7479213 fatcat:fkggcjlwhrdljh3btdcpcdoauy

Associations between age and gray matter volume in anatomical brain networks in middle-aged to older adults

Anne Hafkemeijer, Irmhild Altmann-Schneider, Anton J. M. de Craen, P. Eline Slagboom, Jeroen van der Grond, Serge A. R. B. Rombouts
2014 Aging Cell  
Here, we investigate anatomical brain networks based on structural covariance of gray matter volume among 370 middle-aged to older adults of 45-85 years.  ...  After segmentation of structural MRI scans, nine anatomical networks were defined based on structural covariance of gray matter volume among subjects.  ...  Fig. 1 1 Gray matter structural networks and associations with age. (A) Overview of the nine anatomical networks based on the covariation of gray matter volumes among middle-aged to older adults.  ... 
doi:10.1111/acel.12271 pmid:25257192 pmcid:PMC4326918 fatcat:hauiaupoqrb2ho7nicwqtsqlgm

Structural covariance networks across the life span, from 6 to 94 years of age

Elizabeth DuPre, R. Nathan Spreng
2017 Network Neuroscience  
Structural covariance examines covariation of gray matter morphology between brain regions and across individuals.  ...  the development of structural covariance networks.  ...  Future longitudinal studies of structural covariance patterns will be important to address the impact of age on specific cortical networks.  ... 
doi:10.1162/netn_a_00016 pmid:29855624 pmcid:PMC5874135 fatcat:674zd7spdzd6hjce6rux37smom

Altered Integration of Structural Covariance Networks in Young Children With Type 1 Diabetes

S.M. Hadi Hosseini, Paul Mazaika, Nelly Mauras, Bruce Buckingham, Stuart A. Weinzimer, Eva Tsalikian, Neil H. White, Allan L. Reiss
2016 Human Brain Mapping  
These results suggest that early-onset T1D negatively impacts the global organization of structural covariance networks and influences the trajectory of brain development in childhood.  ...  This is the first study to examine structural covariance networks in young children with T1D.  ...  Acknowledgements The authors thank the children and their families as well as the clinical and imaging staff at all of the investigator sites.  ... 
doi:10.1002/hbm.23293 pmid:27339089 pmcid:PMC5053865 fatcat:vrmael3q35fbbcqbcbkiwnk4ti

Network-level structural covariance in the developing brain

B. A. Zielinski, E. D. Gennatas, J. Zhou, W. W. Seeley
2010 Proceedings of the National Academy of Sciences of the United States of America  
-18 y) to characterize gray matter structural relationships between cortical nodes that make up large-scale functional networks.  ...  In general, structural covariance in the youngest age group was limited to seed and contralateral homologous regions.  ...  Hillblom Foundation, the Pediatric National Institutes of Health MRI Data Repository, and a University of California San Francisco Clinical and Translational Science Institute Resident Research Award (  ... 
doi:10.1073/pnas.1003109107 pmid:20921389 pmcid:PMC2964249 fatcat:ocr2tau7ovcajdij4xycu7qzci

A forward application of age associated gray and white matter networks

Adam M. Brickman, Christian Habeck, Marco A. Ramos, Nikolaos Scarmeas, Yaakov Stern
2008 Human Brain Mapping  
To capture patterns of normal age-associated atrophy, we previously used a multivariate statistical approach applied to voxel based morphometry that identified age-associated gray and white matter covariance  ...  The findings suggest that the previously derived age-associated covariance pattern for gray matter is reliable and may provide information that is more functionally meaningful than chronological age.  ...  of 80%and specificity of r Age-Associated Structural Covariance Networks r r 1141 r 61.9% for white matter.  ... 
doi:10.1002/hbm.20452 pmid:17935180 pmcid:PMC2637464 fatcat:7wr6wkqmmzexpnnhce33bc5vmi

The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks

A. Alexander-Bloch, A. Raznahan, E. Bullmore, J. Giedd
2013 Journal of Neuroscience  
To test this prediction, we used a structural MRI dataset on healthy young people (N ϭ 108; aged 9 -22 years at enrollment), comprising 3-6 longitudinal scans on each participant over 6 -12 years of follow-up  ...  ., increase or decrease in volume at the same rate over the course of years in the same individual, are thus expected to demonstrate strong structural covariance or anatomical connectivity across individuals  ...  The impact of age and in-scanner motion on structural-functional convergence.  ... 
doi:10.1523/jneurosci.3554-12.2013 pmid:23407947 pmcid:PMC3711653 fatcat:umar7w5cwnb5ddgtlquaolbqpa

scMRI Reveals Large-Scale Brain Network Abnormalities in Autism

Brandon A. Zielinski, Jeffrey S. Anderson, Alyson L. Froehlich, Molly B. D. Prigge, Jared A. Nielsen, Jason R. Cooperrider, Annahir N. Cariello, P. Thomas Fletcher, Andrew L. Alexander, Nicholas Lange, Erin D. Bigler, Janet E. Lainhart (+1 others)
2012 PLoS ONE  
We used structural covariance MRI to investigate network-level differences in gray matter structure within two large-scale networks strongly implicated in autism, the salience network and the default mode  ...  network, in autistic subjects and age-, gender-, and IQ-matched controls.  ...  Acknowledgments The authors express their sincere gratitude to the young people and their families who participated in the study. Author Contributions  ... 
doi:10.1371/journal.pone.0049172 pmid:23185305 pmcid:PMC3504046 fatcat:y7ol3xst6vejrjg6mukdq7b6bu

Decreased centrality of cortical volume covariance networks in autism spectrum disorders

Joana Bisol Balardin, William Edgar Comfort, Eileen Daly, Clodagh Murphy, Derek Andrews, Declan G.M. Murphy, Christine Ecker, João Ricardo Sato
2015 Journal of Psychiatric Research  
However, atypical functional and structural connectivity are likely to be also linked to abnormal development of the correlated structure of cortical gray matter.  ...  Such covariations of gray matter are particularly well suited to the investigation of the complex cortical pathology of ASD, which is not confined to isolated brain regions but instead acts at the systems  ...  of gray matter covariance networks.  ... 
doi:10.1016/j.jpsychires.2015.08.003 pmid:26343606 fatcat:ktd5hiqabbdxrk3a3f7byarntm

Discrete Alterations of Brain Network Structural Covariance in Individuals at Ultra-High Risk for Psychosis

Kareen Heinze, Renate L.E.P. Reniers, Barnaby Nelson, Alison R. Yung, Ashleigh Lin, Ben J. Harrison, Christos Pantelis, Dennis Velakoulis, Patrick D. McGorry, Stephen J. Wood
2015 Biological Psychiatry  
Mean gray matter volume of the seed region, and global gray matter, as well as age (since UHR and HC group differed significantly in terms of mean age) were included as covariates.  ...  ANCOVAs comparing UHR and HC participants ANCOVAs, with mean seed gray matter intensity, age and global gray matter volume of each seed region as covariates, revealed reduced structural covariance in the  ... 
doi:10.1016/j.biopsych.2014.10.023 pmid:25524754 fatcat:h4widmmocbeavjcdvagvz3hnvy

The segregated connectome of late-life depression: a combined cortical thickness and structural covariance analysis

Elijah Mak, Sean J. Colloby, Alan Thomas, John T. O'Brien
2016 Neurobiology of Aging  
However, previous literature has not been consistent and, in particular, its impact on the topology organization of brain networks remains to be established.  ...  Freesurfer was used to perform vertex-wise comparisons of cortical thickness, whereas the Graph Analysis Toolbox (GAT) was implemented to construct and analyze the structural covariance networks.  ...  of Cambridge, and the NIHR Biomedical Research Unit in Dementia and the Biomedical Research Centre awarded to Newcastle on Tyne Hospitals NHS Foundation Trust and the Newcastle University.  ... 
doi:10.1016/j.neurobiolaging.2016.08.013 pmid:27721203 pmcid:PMC5096887 fatcat:aa6c62rk3bafnae4sxmrh4icna

Moving forward: Age effects on the cerebellum underlie cognitive and motor declines

Jessica A. Bernard, Rachael D. Seidler
2014 Neuroscience and Biobehavioral Reviews  
The diverse functions of the cerebellum make it an important structure to investigate in aging. Here, we review the extant literature on this topic.  ...  Importantly, we provide a conceptual framework for the cerebellum influencing age differences in performance, centered on the notion of degraded internal models.  ...  The network of gray matter covariance related to age included bilateral frontal, temporal, and thalamic gray matter along with gray matter in the right cerebellum located in the regions of Crus I and II  ... 
doi:10.1016/j.neubiorev.2014.02.011 pmid:24594194 pmcid:PMC4024443 fatcat:ae2ryw2gozhvbgx6kzxvesc6f4

Predicting Brain Age of Healthy Adults Based on Structural MRI Parcellation Using Convolutional Neural Networks

Huiting Jiang, Na Lu, Kewei Chen, Li Yao, Ke Li, Jiacai Zhang, Xiaojuan Guo
2020 Frontiers in Neurology  
In recent years, many studies have focused on estimating age using structural MRI measurements. However, the age prediction effects on different structural networks remain unclear.  ...  First, based on the reference map of CorticalParcellation_Yeo2011, we obtained structural network images for each subject, including images of the following: the frontoparietal network (FPN), the dorsal  ...  AUTHOR CONTRIBUTIONS HJ, LY, and XG designed the study. HJ and NL performed data analysis. HJ, KC, KL, JZ, and XG interpreted the results. HJ, NL, and XG drafted the manuscript.  ... 
doi:10.3389/fneur.2019.01346 pmid:31969858 pmcid:PMC6960113 fatcat:vg7y7lu5tvc5fcnlcwlt3m7erm

Neurodegenerative diseases target large-scale human brain networks

Bill Seeley
2010 Alzheimer's & Dementia  
We further discovered a direct link between intrinsic connectivity and gray matter structure.  ...  During development, the healthy human brain constructs a host of large-scale, distributed, function-critical neural networks.  ...  This finding builds on existing notions of ''small worldness'' in human cortical gray matter structure (He et al., 2007) by demonstrating a direct, network-based function-structure relationship.  ... 
doi:10.1016/j.jalz.2010.05.522 fatcat:dd3jz4n2kfdidnqheao2lbfhu4

Neurodegenerative Diseases Target Large-Scale Human Brain Networks

William W. Seeley, Richard K. Crawford, Juan Zhou, Bruce L. Miller, Michael D. Greicius
2009 Neuron  
We further discovered a direct link between intrinsic connectivity and gray matter structure.  ...  During development, the healthy human brain constructs a host of large-scale, distributed, function-critical neural networks.  ...  This finding builds on existing notions of ''small worldness'' in human cortical gray matter structure (He et al., 2007) by demonstrating a direct, network-based function-structure relationship.  ... 
doi:10.1016/j.neuron.2009.03.024 pmid:19376066 pmcid:PMC2691647 fatcat:fuqwhwxla5hkjkedtgcrfz5l34
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