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Linear Mixed Models Minimise False Positive Rate and Enhance Precision of Mass Univariate Vertex-Wise Analyses of Grey-Matter

Baptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Olivier Colliot, Jian Yang
2020 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)  
We evaluated the statistical power, family wise error rate (FWER) and precision of several competing methods that perform mass-univariate vertex-wise analyses of greymatter (thickness and surface area)  ...  LMMs should be preferred to GLMs as they minimise the false positive rate and yield smaller clusters of associations.  ...  DISCUSSION Our simulations revealed that using GLMs in mass univariate vertex-wise analyses of grey-matter structure resulted in a gross inflation of tests statistics and false positive rate.  ... 
doi:10.1109/isbi45749.2020.9098719 dblp:conf/isbi/Couvy-DuchesneZ20 fatcat:pg2tgbdqkzf2vjz53r66vpmwxi

A parsimonious model for mass-univariate vertex-wise analysis [article]

Baptiste Couvy-Duchesne, Futao Zhang, Kathryn E. Kemper, Julia Sidorenko, Naomi R. Wray, Peter M. Visscher, Olivier Colliot, Jian Yang
2021 bioRxiv   pre-print
could lead to lower mapping precision (increased size of associated clusters) and create distal false positives associations in mass-univariate vertex-wise analyses.  ...  We evaluated this concern by performing state-of-the-art mass-univariate analyses (general linear model, GLM) on traits simulated from real vertex-wise grey matter data (including cortical and subcortical  ...  We evaluated this concern by performing state-of-the-art mass-univariate analyses (general linear model, GLM) on traits simulated from real vertex-wise grey matter data (including cortical and subcortical  ... 
doi:10.1101/2021.01.22.427735 fatcat:vhtawscrmvgr5bjdn2dzsyyupy

Modeling & Analysis

2003 NeuroImage  
Map-wise false-positive rate The maximum map t-value was obtained for each permutation, and a critical map-wise t threshold corresponding to an alpha=0.05 was obtained.  ...  and lower contrast between white and grey matter.  ...  With this temporal model, we analyze source reconstructed ERP image time series, over voxels, in a mass univariate fashion.  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

Exploring the substructure of nucleons and nuclei with machine learning [article]

Rabah Abdul Khalek
2021 arXiv   pre-print
data; and a quantitative assessment of the impact of future colliders such as the High-Luminosity LHC and the Electron-Ion Collider on the proton and nuclear PDFs.  ...  This thesis focuses on the detailed study of PDFs in protons and nuclei as well as the charged pions FFs by means of a statistical framework based on machine learning algorithms.  ...  Thank you for involving me in a multitude of interesting projects, enlightening discussions and meetings during which I acquired quite a lot of coding skills and knowledge of QCD, statistics and machine  ... 
arXiv:2110.01924v1 fatcat:xd6lgvtwf5evll5jqtalw3g7em

Gaia Early Data Release 3: The Gaia Catalogue of Nearby Stars

Richard Smart, L. M. Sarro, J. Rybizki, C. Reyle, A. C. Robin, N.C. Hambly
2020 Astronomy and Astrophysics  
We produce a clean and well-characterised catalogue of objects within 100 pc of the Sun from the Gaia Early Data Release 3.  ...  We detected local manifestations of several streams, superclusters, and halo objects, in which we identified 12 members of Gaia Enceladus.  ...  WISE and NEOWISE are funded by the National Aeronautics and Space Administration (NASA); the fifth data release of the Radial Velocity Experiment (RAVE DR5, Kunder et al. 2017 Astrophysics.  ... 
doi:10.1051/0004-6361/202039498 fatcat:oc7txtybpnf7xnlfm5qywnlnga

Oral presentations

2011 Pediatric Radiology  
This strategy limited the use of CT in patients with right lower quadrant pain, was not associated with an increased perforation rate and did not contribute to an unacceptable rate of false positive diagnosis  ...  All tumors showed well-defined borders with mostly heterogenous enhancement (72%) and mainly isointense SI on T1 (78%) and T2 (72%)-weighted images with respect to grey-matter.  ...  Univariate tests of association were used to identify specific patient and operative factors associated with primary outcomes.  ... 
doi:10.1007/s00247-011-2024-4 fatcat:fe3o7eyxdfgu3gwtqtpyawpdce

Abstracts From the 16th International Congress on Twin Studies and the 4th World Congress on Twin Pregnancy, Madrid, Spain November 16–18, 2017

2017 Twin Research and Human Genetics  
In individual-based analyses, twins were stratified according to PPI use and multivariate linear regression was used to test for association between PPI use and cognitive function.  ...  The association between BWD and neonatal anemia was found to be insignificant. A wide range of incidence rate was found for the BW.  ...  ACCEPTANCE OF VAGINAL MODE OF DELIVERY IN TRIPLET PREGNANCIES  ... 
doi:10.1017/thg.2017.63 pmid:29192583 fatcat:z3ab2wwv6nacboulqvul7rjj4e

The Calabi-Yau Landscape: from Geometry, to Physics, to Machine-Learning [article]

Yang-Hui He
2020 arXiv   pre-print
We present a pedagogical introduction to the recent advances in the computational geometry, physical implications, and data science of Calabi-Yau manifolds.  ...  Based on various lecture series, colloquia and seminars given by the author in the past year, this writing is a very preliminary draft of a book to appear with Springer, by whose kind permission we post  ...  Of course, this is precisely (non-linear) regression for model function f .  ... 
arXiv:1812.02893v2 fatcat:fvjjtjo2tngjzl6ubuv42f56va

The impact of genetic factors and cognitive reserve on brain network organizations of healthy elderly adults

M Pietzuch
2021
FMRIB Software Library (FSL) was used to pre-process and clean the datasets. Functional datasets were analysed using whole-brain and seed-based analyses via FSL apply [...]  ...  This work explored the common genetic polymorphisms of APOE and BDNF Val66Met, and the lifecourse factor, cognitive reserve, in relation to age-related changes in functional and structural connectivity  ...  Functional network modelling analysis was done with a mass univariate approach in FSLNets, which also used General Linear Models, however, instead of investigating voxels, edges were examined and compared  ... 
doi:10.25959/100.00045972 fatcat:tpw2pgilzvc7dnky2lwp4ltw6i

39th Annual European Brain and Behaviour Society Abstracts

2007 Neural Plasticity  
Alessandro Treves (SISSA) was the head and inspiration of the Local Organizing committee, supported by P. Battaglini, L. Chelazzi, M. Diamond and G. Vallortigara.  ...  All approaches relating brain and behaviour were represented at the meeting, which aimed to further expand the wide spectrum of previous EBBS AGMs, and to bring together integrative, system, cognitive,  ...  Rats were trained in each task, and then underwent bilateral cannulation of the dorsal hippocampus.  ... 
doi:10.1155/2007/23250 fatcat:7xnzbdkh5bgqxfe5vemcbmoie4

Mapping and Modelling Brain Changes in the Early Stages of Psychosis Sidhant Chopra

SIDHANT CHOPRA
2022
The results of this thesis provide guidance and recommendations for the treatment of psychosis and its implications on brain health.  ...  This thesis investigates the causes of brain alterations in psychosis and specifically examines whether these changes are a result of antipsychotic medications or other illness-related processes.  ...  Assessing the specificity of findings to grey matter To assess the specificity of our findings to grey matter, we repeated the above primary and secondary analyses in white matter.  ... 
doi:10.26180/19316135 fatcat:jmqsmitktzaipc3j6e64w5mgei

2nd European Headache and Migraine Trust International Congress-EHMTIC

2010 The Journal of Headache and Pain  
To find risk indicators for migraine aura we calculated univariate and multivariate generalized linear mixed models (random factor patient) using bias-corrected sandwich estimators for the covariance matrix  ...  We assessed association of six candidate SNPs of the ADIPOQ gene and change of the 28-day rate of migraine days using a linear regression model.  ...  Interestingly, RAMP1 and CLR positive fibers were also detected close to the central canal of the brainstem of both human and rat.  ... 
doi:10.1007/s10194-010-0259-3 pmid:21049310 pmcid:PMC3639733 fatcat:tkg2xwo5jjau5hbxgi4a2u2lpa

Program Analysis of Probabilistic Programs [article]

Maria I. Gorinova
2022 arXiv   pre-print
While substantial work has been done both to formalise probabilistic programming and to improve efficiency of inference, there has been little work that makes use of the available program structure, by  ...  The techniques analyse a probabilistic program and adapt it to make inference more efficient, sometimes in a way that would have been tedious or impossible to do by hand.  ...  Another useful application of mixed discrete and continuous variable models is found in mixture models.  ... 
arXiv:2204.06868v1 fatcat:2dbonwruuzaopil4aijdeuz4mi

The Graphical Representation of Structured Multivariate Data

Michaela J. Cottee
1997
This thesis is concerned with the development of some new and existing graphical representation techniques for the communication and interpretation of fitted statistical models.  ...  The first part of this thesis takes the form of a general overview of the use in statistics of graphical representations for exploratory data analysis and diagnostic model checking.  ...  Hierarchical models for mixed data, also called mixed interaction models or graphical association models, are defined by a sum of interaction terms and, rather like log-linear interaction modelling, mixed  ... 
doi:10.21954/ou.ro.0000e110 fatcat:hkn65aynprahvgjwlhdrczuywq

Neuroimaging biomarkers associated with clinical dysfunction in Parkinson disease [article]

Conor Owens-Walton, University, The Australian National, University, The Australian National
2020
A 'hubs-and-spokes' neural circuit-based approach can contribute to this aim, by analysing the component elements and also the interconnections of important brain networks.  ...  The interconnections, or 'spokes', between these hubs and other brain regions were investigated using seed-based resting-state functional connectivity analyses.  ...  The goal of this process is to separate signal from noise, while maximising the true positive rate and minimising the false positive rate.  ... 
doi:10.25911/5e4bb817f23a0 fatcat:nf7yk5heznehxfv33bpl2yadvm
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