Rositsa Paunova

The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder

Elena Pitsik, V. A. Maximenko, Semen Kurkin et al. · Chaos Solitons & Fractals · 2023 · 80 citations

Network Analysis, Social Sciences, Functional Connectivity +16

Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode

Drozdstoy Stoyanov, Vladimir Khorev, Rositsa Paunova et al. · International Journal of Environmental Research and Public Health · 2022 · 47 citations · Full text

Diagnostic Task Specific Activations in Functional MRI and Aberrant Connectivity of Insula with Middle Frontal Gyrus Can Inform the Differential Diagnosis of Psychosis

Drozdstoy Stoyanov, Katrin Aryutova, Sevdalina Kandilarova et al. · Diagnostics · 2021 · 45 citations · Full text

Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures

Andrey Andreev, Semen Kurkin, Drozdstoy Stoyanov et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 2023 · 39 citations

Toward Interpretability, Feature Selection, Mental Health +26

Cross-Validation of Functional MRI and Paranoid-Depressive Scale: Results From Multivariate Analysis

Drozdstoy Stoyanov, Sevdalina Kandilarova, Rositsa Paunova et al. · Frontiers in Psychiatry · 2019 · 32 citations · Full text