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MIDAS: Regionally linear multivariate discriminative statistical mapping

Erdem Varol, Aristeidis Sotiras, Christos Davatzikos
2018 NeuroImage  
Statistical parametric maps formed via voxel-wise mass-univariate tests, such as the general linear model, are commonly used to test hypotheses about regionally specific effects in neuroimaging cross-sectional  ...  the power of regional discriminant analysis.  ...  To tackle these shortcomings, we propose a novel statistical method for cross-sectional studies, termed MIDAS, which originates from regionally linear multivariate discriminative statistical mapping.  ... 
doi:10.1016/j.neuroimage.2018.02.060 pmid:29524624 pmcid:PMC5949280 fatcat:335wnnwkfzbzfeabjdwuytjwnm

Predicting U.S. Bank Failures with MIDAS Logit Models

Francesco Audrino, Alexander Kostrov, Juan-Pablo Ortega
2018 Journal of Financial and Quantitative Analysis  
Mixed-data sampling (MIDAS) is introduced in the context of a logistic regression. We also mitigate the class-imbalance problem in data and adjust the classification accuracy evaluation.  ...  We generate multivariate random normal variables Z sim and X sim to replicate 15 Cole's factors and d = 8 past values of a MIDAS-weighted variable.  ...  Foroni, Marcellino, and Schumacher (2015) introduce MIDAS regressions with unrestricted linear lag polynomials (U-MIDAS), which are expected to be particularly useful when the differences in sampling  ... 
doi:10.1017/s0022109018001308 fatcat:py7evzrddvc23kfb4gcmhowcrq

Divergent and non-parallel evolution of MHC IIB in the Neotropical Midas cichlid species complex

Seraina E. Bracamonte, Melinda J. Hofmann, Carlos Lozano-Martín, Christophe Eizaguirre, Marta Barluenga
2022 BMC Ecology and Evolution  
Results We genotyped the MHC IIB for individuals from six sympatric Midas cichlid assemblages, each containing species that have adapted to exploit similar habitats.  ...  Additional ecological data will help evaluating the role of host–parasite interactions in the Midas cichlid radiations and aid in elucidating the potential role of non-parallel features differentiating  ...  Fig. 1 1 Fig. 1 Map of the Nicaraguan great lakes region showing sampled water bodies (modified from NASA Photojournal PIA03364) Fig. 2 2 Fig. 2 Splits network of the phylogenetic relationship of Midas  ... 
doi:10.1186/s12862-022-01997-9 pmid:35365100 pmcid:PMC8974093 fatcat:ckr35mxohfagbnz5q6y44pwd3q

Multivariate analysis of phenotypic traits of indigenous sheep revealed new population in western part of Ethiopia

Wagari Gobena, Getachew Tesfaye, Bayou Elias
2020 International Journal of Agricultural Science and Food Technology  
Physical observations and body weight and linear measurements were studied. Multivariate canonical and discriminant analysis were employed to differentiate population.  ...  It showed that these traits demonstrating their importance to discriminate and to classify the sheep population in the areas.  ...  Canonical discriminant analysis: The univariate and multivariate test statistics are presented in Tables 4,5 , respectively.  ... 
doi:10.17352/2455-815x.000055 fatcat:bijcn6wtt5cl5ijlnize2lq3cm

Nucleus accumbens functional connectivity discriminates medication-overuse headache

D.M. Torta, T. Costa, E. Luda, M.G. Barisone, P. Palmisano, S. Duca, G. Geminiani, F. Cauda
2016 NeuroImage: Clinical  
between MOH and non-MOH patients on the basis of the spatial pattern of resting state functional connectivity of the dorsal and ventral striatal region of interest.  ...  These differences could permit the blind discrimination between the two conditions using classification algorithms.  ...  For each subject the general linear model (GLM) resulted in an ROIbased t-map, the statistical threshold of p b 0.05 was corrected for multiple comparisons using the FDR (q b 0.05, cluster threshold k  ... 
doi:10.1016/j.nicl.2016.05.007 pmid:27330969 pmcid:PMC4900511 fatcat:xx5jmu3iwre3xdfaue3vy6zspi

4D hyperspherical harmonic (HyperSPHARM) representation of surface anatomy: A holistic treatment of multiple disconnected anatomical structures

A. Pasha Hosseinbor, Moo K. Chung, Cheng Guan Koay, Stacey M. Schaefer, Carien M. van Reekum, Lara Peschke Schmitz, Matt Sutterer, Andrew L. Alexander, Richard J. Davidson
2015 Medical Image Analysis  
The MIDAS's surface coordinates are mapped onto the region S ′ along the 4D hypersphere.  ...  The 3D displacement vector field from the template to individual surface is taken as the response vector in the multivariate general linear model (MGLM) (Chung et al., 2010) and its Tstatistic is computed  ... 
doi:10.1016/j.media.2015.02.004 pmid:25828650 pmcid:PMC4405486 fatcat:5uqhwbp2wncjfhmeenquujqmr4

CRATER LAKE HABITAT PREDICTS MORPHOLOGICAL DIVERSITY IN ADAPTIVE RADIATIONS OF CICHLID FISHES

Hans Recknagel, Kathryn R. Elmer, Axel Meyer
2014 Evolution  
We also showed that lakes with a larger littoral zone have on average higher bodied Midas cichlid s, indicating that Midas cichlid flocks are locally adapted to their crater lake habitats.  ...  Here, we examined morphological variation in body shape for replicate flocks of Nicaraguan Midas cichlid fi shes and tested its association with biological and physical characteristics of their crater  ...  A multivariate PCA mainly discriminated between crater Ta ble 2.  ... 
doi:10.1111/evo.12412 pmid:24660780 fatcat:5yzhkc6k4bewpbckwe4vfwfw3a

Improving multi-site autism classification based on site-dependence minimisation and second-order functional connectivity [article]

Mwiza Kunda, Shuo Zhou, Gaolang Gong, Haiping Lu
2020 bioRxiv   pre-print
Our analysis shows that 1) statistical dependence between site and FC features is statistically significant at the 5% level, and 2) extracting second-order features from neuroimaging data and minimising  ...  Recently, studies have shifted towards using large multi-site neuroimaging datasets to boost the clinical applicability and statistical power of results.  ...  Given a multivariate random variable S for the acquisition site, a projection map parameterised by W, φ W (·), and a random variable X for the subject FC 260 features, MIDA aims to learn W such that the  ... 
doi:10.1101/2020.02.01.930073 fatcat:qgreugvm5nf5fdndzyrnoskkqa

15-year variability of desert dust optical depth on global and regional scales

Stavros-Andreas Logothetis, Vasileios Salamalikis, Antonis Gkikas, Stelios Kazadzis, Vassilis Amiridis, Andreas Kazantzidis
2021 Atmospheric Chemistry and Physics  
This study aims to investigate global, regional and seasonal temporal dust changes as well as the effect of dust particles on total aerosol loading using the ModIs Dust AeroSol (MIDAS) fine-resolution  ...  Both regions observed their highest seasonal trends in summer (up to 0.031 yr−1).  ...  The MIDAS dataset has been developed in the framework of the DUST-GLASS project (grant no. 749461; European Union's Horizon 2020 Research and Innovation program under the Marie Skłodowska-Curie Actions  ... 
doi:10.5194/acp-21-16499-2021 fatcat:m2ncqczlojg3zpnl5tax5c7brm

The cerebellum is associated with 2-year prognosis in patients with high-frequency migraine

Hung-Yu Liu, Pei-Lin Lee, Kun-Hsien Chou, Kuan-Lin Lai, Yen-Feng Wang, Shih-Pin Chen, Wei-Ta Chen, Shuu-Jiun Wang
2020 The Journal of Headache and Pain  
This approach uses a multivariate linear mixed effects regression with terms for biological variables and imaging protocols to model quantitative measurements (for example: voxel-wise GMV maps in the current  ...  those with good outcomes with fair discrimination (AUC = 0.72).  ...  Liu, 106-2221-E-010-011-and 107-2221-E-010-010-MY3 to KH Chou, 107-2314-B-075 -015 -MY2 to WT Chen, 108-2321-B-010-014-MY2, 108-2321-B-010-001-and Availability of data and materials Anonymized and statistical  ... 
doi:10.1186/s10194-020-01096-4 pmid:32188423 fatcat:idh4tqcoafdo5lrss6hx62ipfy

A Survey on Visualizing Magnetic Resonance Spectroscopy Data [article]

Miguel Nunes, Andrea Laruelo, SoleaKhena Ken, Anne Laprie, Katja Bühler
2014 Eurographics Workshop on Visual Computing for Biomedicine  
These support doctors in identifying and treat diseases as well as better defining regions of interest.  ...  Center: A linear brushing that selects MRSI voxels outside the tumour region. Right: A second brushing selecting MRSI voxels inside the tumour region (Image courtesy of Lester Kwock).  ...  Also, tools for running statistics in these studies are not specially designed for this kind of multivariate data.  ... 
doi:10.2312/vcbm.20141180 fatcat:w2w6kbv5c5dsvc3oae2rpf7thi

Generalized linear modelling in geomorphology

Peter Atkinson, Hester Jiskoot, Remo Massari, Tavi Murray
1998 Earth Surface Processes and Landforms  
Generalized linear modelling (GLM) is a statistical technique used to model the relation between a response variable and a set of explanatory variables.  ...  The GLIM software at MIDAS in Manchester was used to run the logit models on glacier surging. H. J. and R.  ...  As the name suggests, GLM is designed to model linear relations between a response variable and a set of explanatory variables: the underlying statistical model is linear and additive.  ... 
doi:10.1002/(sici)1096-9837(199812)23:13<1185::aid-esp928>3.0.co;2-w fatcat:c5e53emprffpti6ttkn3uj23xq

A multidimensional Neural Maturation Index reveals reproducible developmental patterns in children and adolescents

M. Truelove-Hill, G. Erus, V. Bashyam, E. Varol, C. Sako, R. C. Gur, R. E. Gur, N. Koutsouleris, C. Zhuo, Y. Fan, D. H. Wolf, T.D. Satterthwaite (+1 others)
2020 Journal of Neuroscience  
brain signatures associated with NMI scores revealed that elevated scores were related to significantly lower gray matter volume and significantly higher white matter volume, particularly in high-order regions  ...  Voxelwise comparisons were applied using a multivariate discriminative statistical mapping method (MIDAS; 28).  ...  MIDAS scans a voxelwise volumetric map using a set of overlapping neighborhoods and conducts regional discriminative analysis with least-squares SVM.  ... 
doi:10.1523/jneurosci.2092-19.2019 pmid:31896669 pmcid:PMC7002145 fatcat:klc57u2v75halhcgjwl67opkm4

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning

2020 Brain  
Regional volumetric measures of grey matter, white matter, and CSF were used to identify distinct and reproducible neuroanatomical subtypes of schizophrenia.  ...  Voxel-wise analysis We conducted voxel-wise volumetric analyses using regionally linear multivariate discriminative statistical mapping (MIDAS) (Varol et al., 2018) to explore the neuroanatomical alterations  ...  Effect size maps were generated from regional volumetric maps masked by the set of regions that showed statistically significant differences (P FDR 5 0.05) in the MIDAS analysis.  ... 
doi:10.1093/brain/awaa025 pmid:32103250 pmcid:PMC7089665 fatcat:s4b4mg3j3jbghjpzi26mczpuoe

Use of ecological thresholds to assess recovery in lotic ecosystems

William H. Clements, Nicole K. M. Vieira, Derek L. Sonderegger
2010 Journal of The North American Benthological Society  
(Ephemeroptera:Leptophlebiidae), Heterlimnius corpulentus (Coleoptera:El-midae), and Pericoma sp. (Diptera:Psychodidae).  ...  -Mean (61 SE) values for canonical discriminant variables 1 and 2 by year (1989-2006) and % of variation explained by each variable in a canonical discriminant analysis of the Arkansas River data based  ... 
doi:10.1899/09-133.1 fatcat:xpyd4ce3sfhfddrocfpmhlvq5a
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