Individual Prediction of Behavioral Variant Frontotemporal Dementia Development Using Multivariate Pattern Analysis of Magnetic Resonance Imaging Data

2019 ◽  
Vol 68 (3) ◽  
pp. 1229-1241 ◽  
Author(s):  
Paul Zhutovsky ◽  
Everard G.B. Vijverberg ◽  
Willem B. Bruin ◽  
Rajat M. Thomas ◽  
Mike P. Wattjes ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Frontotemporal Dementia ◽  
Pattern Analysis ◽  
Multivariate Pattern Analysis ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Data ◽  
Behavioral Variant Frontotemporal Dementia ◽  
Multivariate Pattern

scholarly journals Sex Matters: A Multivariate Pattern Analysis of Sex- and Gender-Related Neuroanatomical Differences in Cis- and Transgender Individuals Using Structural Magnetic Resonance Imaging

2019 ◽  
Vol 30 (3) ◽  
pp. 1345-1356 ◽  
Author(s):  
Pia Baldinger-Melich ◽  
Maria F Urquijo Castro ◽  
René Seiger ◽  
Anne Ruef ◽  
Dominic B Dwyer ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Pattern Analysis ◽  
Transgender Women ◽  
Sex And Gender ◽  
Multivariate Pattern Analysis ◽  
Resonance Imaging ◽  
Structural Magnetic Resonance Imaging ◽  
And Gender ◽  
Multivariate Pattern

Abstract Univariate analyses of structural neuroimaging data have produced heterogeneous results regarding anatomical sex- and gender-related differences. The current study aimed at delineating and cross-validating brain volumetric surrogates of sex and gender by comparing the structural magnetic resonance imaging data of cis- and transgender subjects using multivariate pattern analysis. Gray matter (GM) tissue maps of 29 transgender men, 23 transgender women, 35 cisgender women, and 34 cisgender men were created using voxel-based morphometry and analyzed using support vector classification. Generalizability of the models was estimated using repeated nested cross-validation. For external validation, significant models were applied to hormone-treated transgender subjects (n = 32) and individuals diagnosed with depression (n = 27). Sex was identified with a balanced accuracy (BAC) of 82.6% (false discovery rate [pFDR] < 0.001) in cisgender, but only with 67.5% (pFDR = 0.04) in transgender participants indicating differences in the neuroanatomical patterns associated with sex in transgender despite the major effect of sex on GM volume irrespective of the self-identification as a woman or man. Gender identity and gender incongruence could not be reliably identified (all pFDR > 0.05). The neuroanatomical signature of sex in cisgender did not interact with depressive features (BAC = 74.7%) but was affected by hormone therapy when applied in transgender women (P < 0.001).

Articulatory Synthesis Based on Real-Time Magnetic Resonance Imaging Data

2016 ◽  
Author(s):  
Asterios Toutios ◽  
Tanner Sorensen ◽  
Krishna Somandepalli ◽  
Rachel Alexander ◽  
Shrikanth S. Narayanan
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Real Time ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Data ◽  
Articulatory Synthesis

scholarly journals LAB–QA2GO: A Free, Easy-to-Use Toolbox for the Quality Assessment of Magnetic Resonance Imaging Data

2019 ◽  
Vol 13 ◽  
Author(s):  
Christoph Vogelbacher ◽  
Miriam H. A. Bopp ◽  
Verena Schuster ◽  
Peer Herholz ◽  
Andreas Jansen ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Quality Assessment ◽  
Imaging Data ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Data
Sign in / Sign up

Export Citation Format

Share Document