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Modeling the brain morphology distribution in the general aging population

W. Huizinga, D. H. J. Poot, G. Roshchupkin, E. E. Bron, M. A. Ikram, M. W. Vernooij, D. Rueckert, W. J. Niessen, S. Klein, Barjor Gimi, Andrzej Krol
2016 Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging  
Modeling the brain morphology distribution in the general aging population Huizinga, W.; Poot, Dirk; Roshchupkin, G.; Bron, E. E.; Ikram, M. A.; Vernooij, M.  ...  To this end, we developed a method for analyzing and visualizing these changes for the entire brain morphology distribution in the general aging population.  ...  . 5 We propose a method for modeling the brain morphology distribution in the general aging population.  ... 
doi:10.1117/12.2207228 dblp:conf/mibam/HuizingaPRBIVRN16 fatcat:s5ehrzjedfgerk5j5coir2pave

A spatio-temporal reference model of the aging brain

W. Huizinga, D.H.J. Poot, M.W. Vernooij, G.V. Roshchupkin, E.E. Bron, M.A. Ikram, D. Rueckert, W.J. Niessen, S. Klein
2018 NeuroImage  
To facilitate making this distinction and thus aid the diagnosis of neurodegenerative disorders, we propose a method for developing a spatio-temporal model of morphological differences in the brain due  ...  A spatio-temporal reference model of the aging brain. NeuroImage, 169, 11-22. https://doi.  ...  Acknowledgments The research leading to these results has received funding from the European Union Seventh Framework Programme FP7/2007 -2013  ... 
doi:10.1016/j.neuroimage.2017.10.040 pmid:29203452 fatcat:svklmoubpbdatd4rnwx4ttrqr4

A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments

Raphaël Sivera, Hervé Delingette, Marco Lorenzi, Xavier Pennec, Nicholas Ayache
2019 NeuroImage  
In this study we propose a deformation-based framework to jointly model the influence of aging and Alzheimer's disease (AD) on the brain morphological evolution.  ...  More generally, the joint modeling of normal and pathological evolutions shows promising results to describe age-related brain diseases over long time scales.  ...  Acknowledgment This work has been supported by the Université Côte d'Azur and by the Inria Sophia Antipolis -Méditerranée, "NEF" computation cluster.  ... 
doi:10.1016/j.neuroimage.2019.05.040 pmid:31121298 fatcat:wbqftvirtvbu3dnh35esp4yymy

Morphometricity as a measure of the neuroanatomical signature of a trait

Mert R. Sabuncu, Tian Ge, Avram J. Holmes, Jordan W. Smoller, Randy L. Buckner, Bruce Fischl
2016 Proceedings of the National Academy of Sciences of the United States of America  
Neuroanatomical features are in turn influenced by factors such as age, sex, training, and genetics (1-4).  ...  Morphometricity is defined as the proportion of phenotypic variation that can be explained by macroscopic brain morphology.  ...  The model relates the variation in brain morphology computed from brain-wide, MRIderived measurements to the variation in observable traits and can be fitted using well-established, robust computational  ... 
doi:10.1073/pnas.1604378113 pmid:27613854 pmcid:PMC5047166 fatcat:uqunboja3fccfbyrve45ltwva4

Generating Templates and Growth Charts for School-Aged Brain Development [article]

Hao-Ming Dong, F. Xavier Castellanos, Ning Yang, Zhe Zhang, Ye He, Lei Zhang, Ting Xu, Avram Holmes, B.T. Thomas Yeo, Feiyan Chen, Bin Wang, Christian F Beckmann (+10 others)
2019 bioRxiv   pre-print
In our approach, population- and age-specific templates were first constructed to avoid systemic bias in registration.  ...  Brain areas were then labeled based on the appropriate templates, and their morphological metrics were extracted for modeling associated growth curves.  ...  Zhi Yang from Shanghai Mental Health Center for their highly valuable comments on templates validation and brain morphological metric quantifications.  ... 
doi:10.1101/747352 fatcat:qgcpgubyarfz7ltgak2ezwudhm

Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains [chapter]

Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2017 Lecture Notes in Computer Science  
Our evaluation on the developing functional and morphological brain networks at 1, 3, 6, 9 and 12 months of age has showed a better centeredness of our network atlases, in comparison with the baseline  ...  close to all subjects and representing the individual traits of each subject in the population).  ...  Acknowledgments This work was supported in part by National Institutes of Health grants (MH100217, MH108914 and MH107815).  ... 
doi:10.1007/978-3-319-59050-9_31 pmid:29081630 pmcid:PMC5659735 fatcat:tjczkcckhrdnbgnwoqu4hjzz2y

The association between body mass index and brain morphology in children: a population-based study

Cathelijne Steegers, Elisabet Blok, Sander Lamballais, Vincent Jaddoe, Fabio Bernardoni, Meike Vernooij, Jan van der Ende, Manon Hillegers, Nadia Micali, Stefan Ehrlich, Pauline Jansen, Gwen Dieleman (+1 others)
2021 Brain Structure and Function  
This study provides evidence for an association between BMI-SDS and brain morphology in a large sample of children from the general population and suggests that a normal BMI during childhood is important  ...  The study involved 3160 9-to-11 year-old children (50.3% female) who participate in Generation R, a population-based study.  ...  NWO), and the Ministry of Health, Welfare and Sport, and is conducted by the Erasmus Medical Center in close collaboration with the Faculty of Social Sciences of the Erasmus University Rotterdam, and the  ... 
doi:10.1007/s00429-020-02209-0 pmid:33484342 fatcat:ofs5tmk55bgmfnl5vddw4zemge

A Geographic Cline of Skull and Brain Morphology among Individuals of European Ancestry

Trygve E. Bakken, Anders M. Dale, Nicholas J. Schork
2011 Human Heredity  
However, the relationship between specific brain morphology and genetically-determined ancestry is largely unknown.  ...  Results: We found that both skull and brain morphological variation exhibit a population-genetic fingerprint among individuals of European ancestry.  ...  ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineer-  ... 
doi:10.1159/000330168 pmid:21849792 pmcid:PMC3171282 fatcat:minr376qjfaqnjmus6obdowtdi

Morphologic correlates of age at death of infants with perinatal telencephalic leukoencephalopathy

A Leviton, F H Gilles
1971 American Journal of Pathology  
of the various morphologic expressions of perinatal telencephalic leukoencephalopathy.  ...  These and other findings have been interpreted as evidence that perinatal telencephalic leukoencephalopathy may consist of several morphologic constellations whose differences may reflect variations in  ...  The age-critical model is based on the concept that the ability of the maturing brain to respond to an insult changes with age.  ... 
pmid:5134885 pmcid:PMC2047442 fatcat:d6b5q464dzbitgmi5km4ycuc4a

The Changes of Cerebral Morphology Related to Aging in Taiwanese Population

Hsiao-Lan Sharon Wang, Rongjun Yu, Yu-Tzu Wu, Wen-Yuan Lee, Ming-Fan Lin, Chia-Yuan Chen, Ein-Yiao Shen, Francisco José Esteban
2013 PLoS ONE  
However, no significant age-related changes in the cortex and whole brain volume were determined throughout adulthood.  ...  A cross-sectional study with the 3-dimensional (3D) MRI reconstruction technique was conducted to investigate cerebral complexity changes related to age differences in native Taiwanese population.  ...  Acknowledgments We thank Miss Hsiao-En Cho to key in the data and edit the writing. We thank all the participants and their families for their participation in our study.  ... 
doi:10.1371/journal.pone.0055241 pmid:23358658 pmcid:PMC3554665 fatcat:5i2yu5zplzgv5g57zwdua4qksm

Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants

Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
2018 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)  
regions in the brain.  ...  However, research work on brain morphological (i.e., shape-to-shape) connections, which can be derived from T1-w and T2-w MR images, in both typical and atypical development or ageing is very scarce.  ...  On the other hand, to generate the kinectome, we simply average the growth brain networks of different individuals in the population.  ... 
doi:10.1109/isbi.2018.8363736 pmid:30450154 pmcid:PMC6239168 fatcat:zyzlp6ccpjadbgtmcpybqgtpaa

The subcortical morphology correlates of autistic traits in school-age children: a population-based neuroimaging study [article]

Tamsin Sharp, Mayada Elsabbagh, Andrew Pickles, Rachael Bedford
2021 medRxiv   pre-print
There is emerging evidence that the neuroanatomy of autism forms a spectrum which extends into the general population.  ...  Methods Our analyses included data from 7,005 children aged 9-10 years (female: 47.19%) participating in the Adolescent Brain Cognitive Development Study.  ...  Acknowledgements Data used in the preparation of this article were obtained from the Adolescent Brain Cognitive Development SM (ABCD) Study (https://abcdstudy.org), held in the NIMH Data Archive (NDA).  ... 
doi:10.1101/2021.11.26.21266878 fatcat:an7bughzrfhvpeolnrx77knk3e

Automatic Generation of Training Data for Brain Tissue Classification from MRI [chapter]

Chris A. Cocosco, Alex P. Zijdenbos, Alan C. Evans
2002 Lecture Notes in Computer Science  
Starting from a set of samples generated from prior tissue probability maps (the "model") in a standard, brain-based coordinate system ("stereotaxic space"), the method reduces the fraction of incorrectly  ...  As opposed to existing methods, which are often sensitive to anatomical variability and pathology (such as atrophy), the proposed procedure is robust against morphological deviations from the model.  ...  As opposed to existing methods, it does not make any assumptions about the image intensity distributions, or about the close morphological similarity between the subject's brain and the anatomical model  ... 
doi:10.1007/3-540-45786-0_64 fatcat:uwzumf2ucvgilmogfgtuy5rduq

Charting brain growth in tandem with brain templates for schoolchildren

Hao-Ming Dong, F. Xavier Castellanos, Ning Yang, Zhe Zhang, Quan Zhou, Ye He, Lei Zhang, Ting Xu, Avram J. Holmes, B.T. Thomas Yeo, Feiyan Chen, Bin Wang (+11 others)
2020 Science Bulletin  
The protocol generated and compared population-and age-specific brain templates and growth charts, respectively.  ...  Age-and ethnicity-specific brain templates facilitate establishing unbiased pediatric brain growth charts, indicating the necessity of the brain charts and brain templates generated in tandem.  ...  We thank all families participating in this study and all the support from schools and the communities.  ... 
doi:10.1016/j.scib.2020.07.027 fatcat:farnwmouwjgv5gcq3t74quyncy

Morphological and behavioural variation in CNS innate defence cell microglia is development and age sensitive

Payel Ghosh, Anirban Ghosh
2016 Neuroimmunology and Neuroinflammation  
Results: HE staining spotted overall cellular distribution in the brain and cells with monocytic appearance among the other CNS cells.  ...  Conclusion: In normally developing brains, microglia shows variability in morphology and baseline phagocytic activity that changes with age.  ...  Acknowledgments The authors are grateful to Dr. Srikanta Chakroborty of the USIC, Burdwan University, WB, India for providing technical support for SEM.  ... 
doi:10.20517/2347-8659.2015.32 fatcat:utvl2tnyinghbfpsh5ivtlzspy
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