LF DNEUR Neurosciences
Název anglicky: Neurosciences
doktorský kombinovaný se specializací
Zahrnut v programu: LF D-NEUR_A Neurosciences

Státní doktorská zkouška a obhajoba disertační práce

Obtaining sufficient results and preparing the dissertation in the phase where these results can be presented.
Obtaining theoretical knowledge and mastering the basic subject of Neurosciences, focusing on the topic of dissertation.
Obtaining the knowledge of statistical data processing and the basis of the methodology of scientific work.
The State Doctoral Exam consists of an Examining Board.
A necessary prerequisite for the submission of the final state doctoral examination application is the fulfilment of all the requirements determined by the doctoral board. At the latest, on the date of submitting the application, the student must submit the doctoral thesis statements (if they are determined by the decision of the doctoral board). The state doctoral examination will then proceed within one year after the submission of the application. Commonly, a part of the state doctoral examination is the discussion regarding the statements of the doctoral thesis, unless stated otherwise by the doctoral board or doctoral committee.
The state doctoral examination and the defense of the doctoral thesis are carried out according to the MU SZŘ, Articles 31, 32 and 33.
Doctoral studies are completed by writing the dissertation thesis and its defense. The following study and research duties must be fulfilled before defense of the dissertation.
The preparation of the dissertation includes especially participation in educational events, literature studies, preparation of an own project, work on an own project, data collection, sample processing, lecture presentation and clinical practice.
Partial results of the dissertation are presented in clinical seminars.
The standards of dissertation theses at LF MU are regulated by the Dean's Directive No. 5/2021 "Guidelines on the formal requirements of dissertation theses prepared at the MU Faculty of Medicine"
The curriculum-specific courses are the following: Neuroanatomical Studies, Neurophysiology, Neuropsychology and Experimental Psychology, Neuropsychopharmacology, Pathophysiology of the Nervous System, Neurology, Psychiatry, Behavioural Pharmacology, Animal Testing Models of CNS Disorders, General Psychology, Processing and Analysing Signals and Images, and Computer Neuroscience.
The final state doctoral examination requirements:
Completing the primary discipline - Neuroscience
Detailed knowledge of the partial issues of the discipline relevant to the chosen doctoral thesis topic
The necessary requirements for the admittance of the doctoral students to the defence of their doctoral thesis are at least THREE publications published in international journals with a measured impact factor. Two of the publication must have the first authorship of the student, and one of them must be original. The minimum impact factor for all three publications is 1.00. One of the original first authorship publications must rate higher than the median of the discipline. An alternative to the above would be 2 first authorship publications ranking in the 3rd quartile of the Web of Science category, which is relevant to the topic of the doctoral thesis (see Faculty-Wide conditions)
The doctoral committee of the Neuroscience discipline allows the students partaking in the CEITEC-MU research groups to receive individual study plan conditions, to make sure the "CEITEC PhD School" requirements are met.

Studijní a výzkumné povinnosti

The basis of the doctoral studies at the Faculty of Medicine of the MU is the procedural pursuit of preparation of the doctoral thesis in close and regular interaction with the tutor and supplemented by the faculty-wide applicable terms for completing the postgraduate studies.
Before the defence of the doctoral thesis is performed, the following conditions need to be met:
- fulfil the requirements of the given individual study plan
- complete at least 4 courses of a common basis
- complete at least 4 subject-area courses (within the competence of the doctoral board)
- meet the publication activity requirements at least in the specified range (see below)
- undergo an internship abroad (with the duration of at least one month)
- present original data at an international conference
- submit the doctoral thesis
- pass the final state doctoral examination
- acquire the total amount of 240 credits over the course of studies (in case the MU study and examination regulations change, the credit system may be bypassed at the discretion of the doctoral board).
The participation in teaching can then only reach the maximum of 150 hours/4 years
The common courses encompass the stated fields of scientific knowledge and capabilities. They can be completed as a part of the organised courses at the MU (with cooperation with CEITEC, Faculty of Science, etc.).
Every doctoral student enrolled at LF MU after 1 September 2023 is required to take an online course FR_p2023 FRESHERS: Skills for Research Careers.
Completion of the course DSEBRa Ethics of Biomedical Research is highly recommended for all Ph.D. candidates of the Faculty of Medicine.
1. Scientific Information, medicine based on evidence
2. Ethical and legal aspects of research
3. Organisation of research projects and clinical trials
4. Data analysis (e.g. the Analysis of Clinical Data courses)
5. Publication, presentation and grant-related skills
6. Computer Network User

Návrh témat disertačních prací a témata obhájených prací

The effect of rTMS on cognitive functions in patients with neurodegenerative diseases
Archiv: http://is.muni.cz/th/i77zb/

Advanced Proton Magnetic Resonance Spectroscopy: Clinical and Basic Neuroscience Applications
Archiv: http://is.muni.cz/th/xtjf6/

Modern pattern recognition methods for image data analysis in neuropsychiatric research
Archiv: http://is.muni.cz/th/narnq/

fMRI data processing with usage of simultaneously acquired EEG
Archiv: http://is.muni.cz/th/lpdm3/

Diffusion Tensor Imaging (DTI) For Structural Connectivity And White Matter Microstructure Mapping
Archiv: http://is.muni.cz/th/vw1a8/

Doporučený průchod studijním plánem


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