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Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry [article]

Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
2019 arXiv   pre-print
In addition to the volumes of brain structures, the FNN uses cortical WM/GM contrast and cortical thickness at 78 cortical regions.  ...  We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge.  ...  In addition to volume measures, we used cortical thickness and cortical white/gray contrast measures that were regionally averaged based on the Automated Anatomical Labeling (AAL) atlas [21] .  ... 
arXiv:1909.05660v1 fatcat:ljopr4dzive6jnpuu2tcppfmxu

Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry [chapter]

Juan Miguel Valverde, Vandad Imani, John D. Lewis, Jussi Tohka
2019 Lecture Notes in Computer Science  
In addition to the volumes of brain structures, the FNN uses cortical WM/GM contrast and cortical thickness at 78 cortical regions.  ...  We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge.  ...  In addition to volume measures, we used cortical thickness and cortical white/gray contrast measures that were regionally averaged based on the Automated Anatomical Labeling (AAL) atlas [21] .  ... 
doi:10.1007/978-3-030-31901-4_7 fatcat:z3mtbs2rurfwrm3vkhjcjhlr5a

White matter fiber density abnormalities in cognitively normal adults at risk for late-onset Alzheimer´s disease

Stella M. Sánchez, Bárbara Duarte-Abritta, Carolina Abulafia, Gabriela De Pino, Hernan Bocaccio, Mariana N. Castro, Gustavo E. Sevlever, Greg A. Fonzo, Charles B. Nemeroff, Deborah R. Gustafson, Salvador M. Guinjoan, Mirta F. Villarreal
2020 Journal of Psychiatric Research  
We also evaluated the relation of white matter microstructure metrics with cortical thickness, volumetry, in vivo amyloid deposition (with the help of PiB positron emission tomography -PiB-PET) and regional  ...  with greater cortical thickness of the right superior temporal gyrus.  ...  SMS, CA, BDA and HB are doctoral fellows from CONICET.  ... 
doi:10.1016/j.jpsychires.2019.12.019 pmid:31931231 fatcat:mbl3twdf4newni2wwmmrihw4g4

Global fractional anisotropy and mean diffusivity together with segmented brain volumes assemble a predictive discriminant model for young and elderly healthy brains: a pilot study at 3T

Guadalupe Garcia-Lazaro Haydee
2016 Functional Neurology  
Multivariate discriminant analysis, with age as the dependent variable and WM, GM and CSF volumes, global FA and MD, and gender as the independent variables, was used to assemble a predictive model.  ...  The total accuracy was 93.5%; the sensitivity, specificity and positive and negative predictive values were 91.30%, 100%, 100% and 80%, respectively.  ...  ., 2006) allows the calculation of surface-based cortical thickness measures.  ... 
doi:10.11138/fneur/2016.31.1.039 fatcat:ia65xcbkgjfllonsibowcotqni

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans

Adriënne M. Mendrik, Koen L. Vincken, Hugo J. Kuijf, Marcel Breeuwer, Willem H. Bouvy, Jeroen de Bresser, Amir Alansary, Marleen de Bruijne, Aaron Carass, Ayman El-Baz, Amod Jog, Ranveer Katyal (+18 others)
2015 Computational Intelligence and Neuroscience  
The evaluated methods are ranked based on their overall performance to segment GM, WM, and CSF and evaluated using three evaluation metrics (Dice, H95, and AVD) and the results are published on the MRBrainS13  ...  The multitude of methods proposed complicates the choice of one method above others.  ...  the University Medical Center Utrecht, and Eindhoven University of Technology.  ... 
doi:10.1155/2015/813696 pmid:26759553 pmcid:PMC4680055 fatcat:uhsmxrfz65ahtc7fciqt6v3fem

Brain Maturation in Adolescence and Young Adulthood: Regional Age-Related Changes in Cortical Thickness and White Matter Volume and Microstructure

Christian K. Tamnes, Ylva Østby, Anders M. Fjell, Lars T. Westlye, Paulina Due-Tønnessen, Kristine B. Walhovd
2009 Cerebral Cortex  
One hundred and sixty-eight healthy participants aged 8--30 years underwent sMRI and DTI.  ...  Note: Correlations between cortical thickness and WM volume (with gender regressed out), FA, MD, DA, and DR.  ...  The authors would like to thank Mari Torstveit and Victoria Torp Sells for their effort in the data collection and Inge Amlien for making the Supplementary movie.  ... 
doi:10.1093/cercor/bhp118 pmid:19520764 fatcat:vepq7nv2tjb2peafhe3dsavsse

Multivariate neuroanatomical classification of cognitive subtypes in schizophrenia: A support vector machine learning approach

Ian C. Gould, Alana M. Shepherd, Kristin R. Laurens, Murray J. Cairns, Vaughan J. Carr, Melissa J. Green
2014 NeuroImage: Clinical  
The use of more homogenous clinical phenotypes may improve the accuracy of predicting psychotic disorder/s on the basis of observable brain disturbances.  ...  Distinct neuroanatomical patterns predicted cognitive subtype status in each sex: sex-specific multivariate patterns did not predict cognitive subtype status in the other sex above chance, and weight map  ...  Acknowledgements This study uses data from the Australian Schizophrenia Research Bank (ASRB), funded by the National Health and Medical Research Council of Australia (NHMRC) enabling grant (No. 386500)  ... 
doi:10.1016/j.nicl.2014.09.009 pmid:25379435 pmcid:PMC4215428 fatcat:do4rxydl7jh7xkisu5757gs6lq

Age-Related Loss of Brain Volume and T2 Relaxation Time in Youth With Type 1 Diabetes

G. S. Pell, A. Lin, R. M. Wellard, G. A. Werther, F. J. Cameron, S. J. Finch, J. Papoutsis, E. A. Northam
2012 Diabetes Care  
There were no substantial group differences on socioeconomic status, sex ratio, or intelligence quotient.  ...  CONCLUSIONSdWe demonstrated an interaction between age and group in predicting brain volumes and T2 relaxation time such that there was a decline in these outcomes in type 1 diabetic participants that  ...  †More than or equal to one episode of hypoglycemia with associated seizure or coma. lentiform and thalamic nuclei and insular and cingulate cortices.  ... 
doi:10.2337/dc11-1290 pmid:22301124 pmcid:PMC3322703 fatcat:fpn7esywgje4hbwqqrdwbzmbna

Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry

L. T. Westlye, K. B. Walhovd, A. M. Dale, A. Bjornerud, P. Due-Tonnessen, A. Engvig, H. Grydeland, C. K. Tamnes, Y. Ostby, A. M. Fjell
2009 Cerebral Cortex  
Magnetic resonance imaging volumetry studies report inverted Upatterns with increasing white-matter (WM) volume into middle age suggesting protracted WM maturation compared with the cortical gray matter  ...  We used automated regional brain volume segmentation and tract-based statistics of fractional anisotropy, mean, and radial diffusivity as markers of WM integrity.  ...  28.6 Note: The FA values were computed as mean values in regions encompassing both the TBSS skeleton and the atlas-based tract. t 5 t value, F 5 F value, R 2 5 adjusted R 2 , age at maxima 5 age at LOESS  ... 
doi:10.1093/cercor/bhp280 pmid:20032062 fatcat:genhrhvwzvdobfa4dlkcy62tsi

Global fractional anisotropy and mean diffusivity together with segmented brain volumes assemble a predictive discriminant model for young and elderly healthy brains: a pilot study at 3T

Haydee Guadalupe Garcia-Lazaro, Ivonne Becerra-Laparra, David Cortez-Conradis, Ernesto Roldan-Valadez
Functional Neurology  
Multivariate discriminant analysis, with age as the dependent variable and WM, GM and CSF volumes, global FA and MD, and gender as the independent variables, was used to assemble a predictive model.  ...  The total accuracy was 93.5%; the sensitivity, specificity and positive and negative predictive values were 91.30%, 100%, 100% and 80%, respectively.  ...  ., 2006) allows the calculation of surface-based cortical thickness measures.  ... 
pmid:27027893 pmcid:PMC4819817 fatcat:6ssr6xde4vf7pmw6vftwemsxzy

Unsupervised learning for vascular heterogeneity assessment of glioblastoma based on magnetic resonance imaging: The Hemodynamic Tissue Signature [article]

Javier Juan-Albarracín
2020 arXiv   pre-print
This thesis focuses on the research and development of the Hemodynamic Tissue Signature (HTS) method: an unsupervised machine learning approach to describe the vascular heterogeneity of glioblastomas by  ...  & Nuclear Medicine, Machine Learning and Data Mining and Biomedical Engineering.  ...  The ICBM atlas include a T 1 , T 2 and Proton density MR images, with the associated WM, GM and CSF tissue probability maps.  ... 
arXiv:2009.06288v1 fatcat:dum2y7fuuve73lxbb2any6iak4

Quantification of cortical folding using MR image data

Robert Wright, Daniel Rueckert, Paul Aljabar, Engineering And Physical Sciences Research Council
2016
A framework is presented that quantifies global and regional folding using curvature-based measures.  ...  A spectral-based method is outlined for constructing a spatio-temporal surface atlas (a sequence of mean cortical surface meshes for weekly intervals).  ...  The remaining rows show greyscale probability maps for WM, GM, CSF and subcortical GM (top to bottom).  ... 
doi:10.25560/39037 fatcat:zmqceawl2nh6bj55spmlctnq2y

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
'', and Amazon Inc., for providing valuable computing resources through an ''AWS in Education Research'' grant.  ...  References Acknowledgments This work was supported by projects IPT-2012-0401-300000, TEC2013-48251-C2-1-R, DTS14/00192, PI15/02121, EU FP7 IRSES TAHITI (#269300) and FEDER funds.  ...  In this study, we propose an interactive tool to semi-automatically locate the depth electrodes, and to automatically identify the anatomical location (WM, GM or CSF) of each contact.  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq