Application of mass multivariate analysis on neuroimaging data sets for precision diagnostics of depression

R Paunova, S Kandilarova, A Todeva-Radneva… - Diagnostics, 2022 - mdpi.com
We used the Mass Multivariate Method on structural, resting-state, and task-related fMRI
data from two groups of patients with schizophrenia and depression in order to define …

Functional connectivity directionality between large-scale resting-state networks across typical and non-typical trajectories in children and adolescence

MJ Lund, D Alnæs, J Rokicki, S Schwab… - Plos one, 2022 - journals.plos.org
Mental disorders often emerge during adolescence and have been associated with age-
related differences in connection strengths of brain networks (static functional connectivity) …

Introducing the PLOS ONE Collection on the neuroscience of reward and decision making

SM Groman, S Ikemoto, M Rushworth, JR Taylor… - PloS one, 2020 - journals.plos.org
The survival of an organism depends on the ability to make adaptive decisions to achieve
the needs of the organism: where to get food, who to mate with, and how to evade predators …

Application of Mass Multivariate Analysis on Neuroimaging Data Sets in Psychiatric Diagnostics

R Paunova, S Kandilarova, A Todeva-Radneva… - 2022 - preprints.org
Abstract We have used Mass Multivariate Method on structural, resting state and task related
fMRI data from two groups of patients with schizophrenia and depression, respectively, in …