Drozdstoy Stoyanov
Biographic Data
| ID | 7532008 |
|---|---|
| NAME | Drozdstoy Stoyanov |
| GIVEN NAMES | Drozdstoy |
| FAMILY NAME | Stoyanov |
| SIGNATURE | STOYANOV D |
| AFFILIATIONS | Medical University Plovdiv |
| ORCID | 0000-0002-9975-3680 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
How Norms Depend on the Presence and Status of Observers: The Relational Contingency of Everyday Behaviors in 90 Societies
Norms are fundamental to social life, but basic questions about how they are affected by social context remain. Specifically, how do normative constraints depend on the presence and status of observers, and how do such relational contingencies vary across cultures? Using data from more than 25,000 individuals across 90 societies, we test several hypotheses linking normative constraints on everyday behaviors (like arguing, laughing, cursing, kissi…
Epistemology and Mental Health: Introducing the Special Issue
Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes
Our results suggest that we can use the multivariate structural covariance method to identify specific regions that have higher predictive value for specific psychiatric diagnoses. In our research, we have identified brain signatures that suggest that degeneracy shapes brain networks in different ways both within and across major psychiatric disorders
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during …
Predicting attitudinal and behavioral responses to Covid-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social…
Perspectives before incremental trans-disciplinary cross-validation of clinical self-evaluation tools and functional MRI in psychiatry: 10 Years Later
Translational validity (or trans-disciplinary validity) is defined as one possible approach to achieving incremental validity by combining simultaneous clinical state-dependent measures and functional MRI data acquisition. It is designed under the assumption that the simultaneous administration of the two methods may produce a dataset with enhanced synchronization and concordance. Translational validation aims at "bridging" the explanatory gap by…
Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode
The study provides supportive evidence for impaired functional connectivity networks in MDE patients
Does greenery experienced indoors and outdoors provide an escape and support mental health during the Covid-19 quarantine?
University Students’ Self-Rated Health in Relation to Perceived Acoustic Environment during the Covid-19 Home Quarantine
These findings suggest a role of positive indoor soundscape and restorative quality for promoting self-rated health in times of social distancing
Dynamic Functional Connectivity Patterns in Schizophrenia and the Relationship With Hallucinations
There is a wealth of evidence showing aberrant functional connectivity (FC) in schizophrenia but with considerable variability in findings across studies. Dynamic FC is an extension of traditional static FC, in that such analyses allow for explorations of temporal changes in connectivity. Thereby they also provide more detailed information on connectivity abnormalities in psychiatric disorders such as schizophrenia. The current study investigated…
Cross-Validation of Functional MRI and Paranoid-Depressive Scale: Results From Multivariate Analysis
Introduction: There exists over the past decades a constant debate driven by controversies in the validity of psychiatric diagnosis. This debate is grounded in queries about both the validity and evidence strength of clinical measures. Materials and Methods: The objective of the study is to construct a bottom-up unsupervised machine learning approach, where the brain signatures identified by three principal components based on activations yielded…
Cross-Validation of Paranoid-Depressive Scale and Functional MRI: New Paradigm for Neuroscience Informed Clinical Psychopathology
There is reported a study performed with a novel paradigm aiming at investigation of the translational validity of von Zerssen's paranoid-depression scale and its fMRI correlates in terms of focus on exploration of the results on the contrast between the Paranoid Specific (DP) blocks and the Depression Specific (DS) blocks. Patients with schizophrenia demonstrated significant activations in a number of regions (right angular gyrus, left posterior…
Multiple pathways link urban green- and bluespace to mental health in young adults
Psychopathology Assessment Methods Revisited: On Translational Cross-Validation of Clinical Self-Evaluation Scale and fMRI
We present in this article a study design that combines clinical self-assessment scale, simultaneously administered with fMRI data acquisition. We have used a standard block-design with two different conditions. Each active block consisted of four text statements (items), alternating diagnostically specific (DS) blocks comprising items from von Zerssen depression scale and diagnostically neutral (DN) blocks with items from a questionnaire about g…
Altered Resting State Effective Connectivity of Anterior Insula in Depression
Depression has been associated with changes in both functional and effective connectivity of large scale brain networks, including the default mode network, executive network, and salience network. However, studies of effective connectivity by means of spectral dynamic causal modeling (spDCM) are still rare and the interaction between the different resting state networks has not been investigated in detail. Thus, we aimed at exploring differences…
Lower Noise Annoyance Associated with GIS-Derived Greenspace: Pathways through Perceived Greenspace and Residential Noise
Growing amounts of evidence support an association between self-reported greenspace near the home and lower noise annoyance; however, objectively defined greenspace has rarely been considered. In the present study, we tested the association between objective measures of greenspace and noise annoyance, with a focus on underpinning pathways through noise level and perceived greenspace. We sampled 720 students aged 18 to 35 years from the city of Pl…
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Multiple pathways link urban green- and bluespace to mental health in young adults
Psychopathology Assessment Methods Revisited: On Translational Cross-Validation of Clinical Self-Evaluation Scale and fMRI
We present in this article a study design that combines clinical self-assessment scale, simultaneously administered with fMRI data acquisition. We have used a standard block-design with two different conditions. Each active block consisted of four text statements (items), alternating diagnostically specific (DS) blocks comprising items from von Zerssen depression scale and diagnostically neutral (DN) blocks with items from a questionnaire about g…
Altered Resting State Effective Connectivity of Anterior Insula in Depression
Depression has been associated with changes in both functional and effective connectivity of large scale brain networks, including the default mode network, executive network, and salience network. However, studies of effective connectivity by means of spectral dynamic causal modeling (spDCM) are still rare and the interaction between the different resting state networks has not been investigated in detail. Thus, we aimed at exploring differences…
Lower Noise Annoyance Associated with GIS-Derived Greenspace: Pathways through Perceived Greenspace and Residential Noise
Growing amounts of evidence support an association between self-reported greenspace near the home and lower noise annoyance; however, objectively defined greenspace has rarely been considered. In the present study, we tested the association between objective measures of greenspace and noise annoyance, with a focus on underpinning pathways through noise level and perceived greenspace. We sampled 720 students aged 18 to 35 years from the city of Pl…
Cross-Validation of Functional MRI and Paranoid-Depressive Scale: Results From Multivariate Analysis
Introduction: There exists over the past decades a constant debate driven by controversies in the validity of psychiatric diagnosis. This debate is grounded in queries about both the validity and evidence strength of clinical measures. Materials and Methods: The objective of the study is to construct a bottom-up unsupervised machine learning approach, where the brain signatures identified by three principal components based on activations yielded…
Cross-Validation of Paranoid-Depressive Scale and Functional MRI: New Paradigm for Neuroscience Informed Clinical Psychopathology
There is reported a study performed with a novel paradigm aiming at investigation of the translational validity of von Zerssen's paranoid-depression scale and its fMRI correlates in terms of focus on exploration of the results on the contrast between the Paranoid Specific (DP) blocks and the Depression Specific (DS) blocks. Patients with schizophrenia demonstrated significant activations in a number of regions (right angular gyrus, left posterior…
Dynamic Functional Connectivity Patterns in Schizophrenia and the Relationship With Hallucinations
There is a wealth of evidence showing aberrant functional connectivity (FC) in schizophrenia but with considerable variability in findings across studies. Dynamic FC is an extension of traditional static FC, in that such analyses allow for explorations of temporal changes in connectivity. Thereby they also provide more detailed information on connectivity abnormalities in psychiatric disorders such as schizophrenia. The current study investigated…
Does greenery experienced indoors and outdoors provide an escape and support mental health during the Covid-19 quarantine?
University Students’ Self-Rated Health in Relation to Perceived Acoustic Environment during the Covid-19 Home Quarantine
These findings suggest a role of positive indoor soundscape and restorative quality for promoting self-rated health in times of social distancing
National identity predicts public health support during a global pandemic
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during …
Predicting attitudinal and behavioral responses to Covid-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multi-national data collected by the International Collaboration on the Social…
Perspectives before incremental trans-disciplinary cross-validation of clinical self-evaluation tools and functional MRI in psychiatry: 10 Years Later
Translational validity (or trans-disciplinary validity) is defined as one possible approach to achieving incremental validity by combining simultaneous clinical state-dependent measures and functional MRI data acquisition. It is designed under the assumption that the simultaneous administration of the two methods may produce a dataset with enhanced synchronization and concordance. Translational validation aims at "bridging" the explanatory gap by…
Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode
The study provides supportive evidence for impaired functional connectivity networks in MDE patients
Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes
Our results suggest that we can use the multivariate structural covariance method to identify specific regions that have higher predictive value for specific psychiatric diagnoses. In our research, we have identified brain signatures that suggest that degeneracy shapes brain networks in different ways both within and across major psychiatric disorders
Epistemology and Mental Health: Introducing the Special Issue
How Norms Depend on the Presence and Status of Observers: The Relational Contingency of Everyday Behaviors in 90 Societies
Norms are fundamental to social life, but basic questions about how they are affected by social context remain. Specifically, how do normative constraints depend on the presence and status of observers, and how do such relational contingencies vary across cultures? Using data from more than 25,000 individuals across 90 societies, we test several hypotheses linking normative constraints on everyday behaviors (like arguing, laughing, cursing, kissi…
Psychology (12 works) · Medicine (10 works) · Computer Science (8 works) · Functional Brain Connectivity Studies (8 works) · Psychiatry (6 works) · Artificial Intelligence (5 works) · Neuroscience (5 works) · 2019-20 coronavirus outbreak (4 works) · Cognitive psychology (4 works) · Mental Health Research Topics (4 works)