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Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry
[article]
2019
arXiv
pre-print
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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]
2019
Lecture Notes in Computer Science
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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
2020
Journal of Psychiatric Research
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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
2016
Functional Neurology
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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
2015
Computational Intelligence and Neuroscience
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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
2009
Cerebral Cortex
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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
2014
NeuroImage: Clinical
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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
2012
Diabetes Care
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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
2009
Cerebral Cortex
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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
Functional Neurology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
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]
2020
arXiv
pre-print
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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
2016
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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
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'', 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