Researcher: Asst. Prof. Sevdalina Kandilarova, MD, PhD

RIMU » Изследователи » Asst. Prof. Sevdalina Kandilarova, MD, PhD

Research Division:

Translational neuroscience

Workplace:

Department of Psychiatry and Medical Psychology, MU Plovdiv; Research Complex for Translational Neuroscience, MU Plovdiv

E-mail address:

Portfolio:

Dr. Kandilarova is a medically trained psychiatrist, currently engaged with both teaching and research. She has been involved in the establishment of the Research Complex for Translational Neuroscience and since it's official launch in 2015, she has been the leading on-site researcher developing and testing the paradigms for functional magnetic resonance imaging (fMRI).

She has been trained in Basel and Bergen to perform neuroimaging studies and to analyze structural and functional neuroimaging data.

Dr. Kandilarova has performed her own research project on depression leading to a PhD degree in 2017 and she is continuing with her postdoctoral training. She has been involved in several long-lasting collaborations with fMRI research groups at the University of Bergen and the University of Basel.

Her main research interests are in the application of structural, resting state, and task-related fMRI, as well as magnetic resonance spectroscopy for the differential diagnosis of major psychiatric disorders.

Projects in which Asst. Prof. Sevdalina Kandilarova, MD, PhD participates:

Selected Project:Clinical, cognitive and neurobiological markers for auditory hallucinations: Multicenter study Bergen-Plovdiv

Deadline:

01.07.2017

01.07.2020

Completed Project See the Results

Schizophrenia is one of the psychiatric disorders with the highest social burden, and auditory hallucinations are one of its most common manifestations. Despite advances in neuroscience, the underlying pathological process is not well understood.

Data from recent functional magnetic resonance ...

Leaders:

Prof. Dr Drozdstoy Stoyanov, MD, PhD, DSc, PGCert, IDFAPA

Department of Psychiatry and Medical Psychology, MU Plovdiv

Prof. Kenneth Hugdahl

Department of Biological and Medical Psychology, Faculty of Psychology, University of Bergen

Selected Project:Installation and assessment of Medical Informatics Platform (MIP) developed and provided by Human Brain Project

Deadline:

18.09.2017

Active Project Applications are closed

Medical Informatics Platform (MIP) is a global open access platform that allows hospitals and research centers around the world to share medical data. It enables online users to have effective access to accurate and relevant information about brain diseases while ...

Leaders:

Prof. Dr Drozdstoy Stoyanov, MD, PhD, DSc, PGCert, IDFAPA

Department of Psychiatry and Medical Psychology, MU Plovdiv

Selected Project:Novel Biomarkers of Depression and Anxiety Disorders. Psychopathologic and translational neurobiological constellations

Deadline:

01.04.2019

01.04.2021

Completed Project See the Results

Depression is among the most common socially significant diseases.

The aim of the project is to refine the diagnosis of depression by building on studies on functional magnetic-resonance imaging (MRI), magnetic resonance spectroscopy (MRI) and neuroimmunology, and by finding a ...

Leaders:

Prof. Dr Drozdstoy Stoyanov, MD, PhD, DSc, PGCert, IDFAPA

Department of Psychiatry and Medical Psychology, MU Plovdiv

Prof. Marianna Murdjeva, MD, PhD

Department of Microbiology and Immunology, MU-Plovdiv

Selected Publications:

1. Kandilarova, S., Stoyanov, D., Sirakov, N., Maes, M., & Specht, K. (2019). Reduced grey matter volume in frontal and temporal areas in depression: contributions from voxel-based morphometry study. Acta Neuropsychiatr, 31(5), 252-257. doi:10.1017/neu.2019.20

2. Kandilarova S, Stoyanov D, Kostianev S, Specht K. Altered Resting State Effective Connectivity of Anterior Insula in Depression. Front Psychiatry. 2018 Mar 15; 9:83 doi: 10.3389/fpsyt.2018.00083

3. Stoyanov, D., Kandilarova, S., Paunova, R., Barranco Garcia, J., Latypova, A., & Kherif, F. (2019). Cross-Validation of Functional MRI and Paranoid-Depressive Scale: Results From Multivariate Analysis. Front Psychiatry, 10, 869. doi:10.3389/fpsyt.2019.00869

4. Kandilarova S, Stoyanov D, Popivanov ID, Kostianev S. Application of functional magnetic resonance imaging in psychiatric clinical evaluation: Controversies and avenues. J Eval Clin Pract. 2018 Aug;24(4):807-814. doi: 10.1111/jep.12906. Epub 2018 Mar 13.

5. Stoyanov, D., Kandilarova, S., Arabadzhiev, Z., Paunova, R., Schmidt, A., & Borgwardt, S. (2019). Cross-Validation of Paranoid-Depressive Scale and Functional MRI: New Paradigm for Neuroscience Informed Clinical Psychopathology. Front Psychiatry, 10, 711. doi:10.3389/fpsyt.2019.00711