Neuroscience (DR) Preview
PhD	TR-NQF-HE: Level 8	QF-EHEA: Third Cycle	EQF-LLL: Level 8

Course Introduction and Application Information

Course Code:

SBY6001

Course Name:

Advanced Electroneurophysiology

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Departmental Elective

Course Level:

PhD

TR-NQF-HE:8. Master`s Degree

QF-EHEA:Third Cycle

EQF-LLL:8. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. GÖKÇER ESKİKURT

Course Lecturer(s):

Asst. Prof. Gökçer Eskikurt

Course Assistants:

Course Objective and Content

Course Objectives:

Advanced electrophysiologic methods used in different situations other than routine examinations will be discussed theoretically for one hour a week in group seminars where students come prepared from the recommended sources, and the topics will be supported practically with laboratory studies for 2 hours a week. In the article hour, a common article on the subject will be discussed by the students.

Course Content:

Neuromuscular junction physiology, single fiber EMG, macro EMG, motor unit counting, superficial EMG, electrophysiological principles, recording and measurements related to exercise tests and collision techniques, clinical uses, pelvic floor examinations, electrophysiological evaluation of the larynx, near-nerve recording techniques, intraoperative monitoring and heart rate variability analysis will be covered.

Learning Outcomes

The students who have succeeded in this course;
1) Candidates will have knowledge in clinical neuro-electrophysiology, be able to practice, conduct seminars and lectures, plan research and follow innovations.
2) Graduates of this program have the theoretical knowledge and skills to produce new projects and evaluate new projects in the field of neuro-electrophysiology.
3) Candidates who complete the program learn how to take and interpret EEG in children and adults, have theoretical and practical knowledge about basic applications related to EEG, activation methods, EEG monitoring.
4) Candidates who complete the program have the theoretical and practical knowledge of nerve conduction techniques, needle electromyography, single fiber EMG, posterior nerve stimulation, evoked potentials and autonomic tests, perform and evaluate these examinations and have the knowledge and skills to undertake a laboratory responsibility alone.
5) Candidates recognize the devices related to neuro-electrophysiology, know the indications for use and can apply them.

Course Flow Plan

Week	Subject	Related Preparation
1)	Signal origin	-
2)	Preprocessing, artifact rejection and correction (e.g. ICA)	-
3)	Classical analysis methods (ERP analyses)	-
4)	Analysis in the frequency domain: Filters (“dos and don’ts”)	-
5)	Time-frequency analysis – including STFT, wavelet analysis and Hilbert transform.	-
6)	Novel analysis methods: separating rhythmic signals from non-rhythmic background “noise”, techniques for analyzing non-sinusoidal signals	-
7)	Cross-frequency-coupling: detection and possible caveats	-
8)	Midterm	-
9)	Multi-variate analysis methods: Background and comparison to conventional statistical approaches	-
10)	Important techniques from the world of machine-learning (and specifically – getting to know several important classifiers)	-
11)	Decoding problems	-
12)	Encoding problems – including regression methods to deal with signal overlap	-
13)	Representational Similarity Analysis	-
14)	Advanced statistical methods	-

Sources

Course Notes / Textbooks:	Ders notları
References:	Electrophysiology Basics, Modern Approaches and Applications Jürgen Rettinger , Silvia Schwarz , Wolfgang Schwarz

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) 1) To be able to define the basic concepts of neuroscience, understand and express neurophysiological functions of brain and neuroanatomical structures, functional organization of central nervous system and basic principles of normal functioning.	1	1	1	1	1
2) 2) To have theoretical knowledge about etiopathogenesis of neurological and psychiatric diseases and to have knowledge of neurological and cognitive impairments and central nervous system pathology knowledge in these diseases.	1	1	1	1	1
3) 1) To be able to have basic theoretical knowledge about transcranial neuromodulation methods and to use these methods in the field of study, such as radiological and electrophysiological research and investigation methods used in neurological and psychiatric diseases such as electronomyfromography, electroencephalography, evoked potentials and neuroimaging methods.	3	3	3	3	3
4) 1) Ability to work within the team in the field of neuroscience research	2	2	2	2	2
5) 1) Transcribe and present the findings and research results verbally or in writing	3	3	3	3	3
6) 1) Ability to use communication and computer technologies efficiently in their work.	2	2
7) 2) Having a sense of ethical responsibility in research.	3	3
8) 1) Undertake the responsibility of the task alone and carry out independent work.	2	2	2	2	2

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	1) To be able to define the basic concepts of neuroscience, understand and express neurophysiological functions of brain and neuroanatomical structures, functional organization of central nervous system and basic principles of normal functioning.	1
2)	2) To have theoretical knowledge about etiopathogenesis of neurological and psychiatric diseases and to have knowledge of neurological and cognitive impairments and central nervous system pathology knowledge in these diseases.	2
3)	1) To be able to have basic theoretical knowledge about transcranial neuromodulation methods and to use these methods in the field of study, such as radiological and electrophysiological research and investigation methods used in neurological and psychiatric diseases such as electronomyfromography, electroencephalography, evoked potentials and neuroimaging methods.	3
4)	1) Ability to work within the team in the field of neuroscience research	2
5)	1) Transcribe and present the findings and research results verbally or in writing	2
6)	1) Ability to use communication and computer technologies efficiently in their work.	2
7)	2) Having a sense of ethical responsibility in research.	3
8)	1) Undertake the responsibility of the task alone and carry out independent work.	3

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Laboratory	1	% 20
Presentation	1	% 10
Midterms	1	% 20
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	16	32
Application	16	32
Study Hours Out of Class	16	48
Midterms	1	30
Final	1	50
Total Workload		192