ISTINYE UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| Neuroscience (Master) (with Thesis) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code: | SBY5008 | ||||
| Course Name: | Scanning Techniques in Neuroscience | ||||
| Semester: | Fall | ||||
| Course Credits: |
|
||||
| Language of instruction: | Turkish | ||||
| Course Condition: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
|
||||
| Mode of Delivery: | E-Learning | ||||
| Course Coordinator: | Dr. Öğr. Üy. GÖKÇER ESKİKURT | ||||
| Course Lecturer(s): | Asst. Prof. Bernis Sütçübaşı | ||||
| Course Assistants: |
Course Objective and Content
| Course Objectives: | The aim of this course is to conceptually introduce the neuroimaging methods (MRI, fMRI, DTI, TMS, etc.) used in the field of neuroscience, as well as to enable students to design experiments in which they will use neuroimaging techniques to improve their practical skills and to enable them to analyze the data obtained from the experiments. |
| Course Content: | An overview of the advantages and disadvantages of different neuroimaging methods will be given and discussed in order to understand what is the background information of neuroimaging methods such as MRI, fMRI, TMS, DTI, etc., which provide the opportunity to examine the neural basis underlying human behavior. In addition, in order to improve the students' ability to conduct independent research, basic analyzes will be made after sample data sets collected by different methods are passed through the preprocessing stages. |
Learning Outcomes
|
The students who have succeeded in this course;
1) Will have theoretical knowledge about imaging methods in neuroscience 2) Will be able to choose the appropriate neuroimaging method for research questions 3) Will be able to collect data using neuroimaging methods effectively 4) Will be able to analyze the data collected in accordance with their hypotheses at a basic level |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introducing of course and syllabus | |
| 2) | History of Neuroimaging Methods in Neuroscience | |
| 3) | Magnetic Resonance Imaging (MRI) Basics | |
| 4) | Functional Magnetic Resonance Imaging (fMRI) Basics | |
| 5) | Neuroimaging literature discussing | |
| 6) | Neuroimaging literature discussing | |
| 7) | Preprocessing of resting state fMRI data | |
| 8) | Connectivity analysis of resting state fMRI data | |
| 9) | Preprocessing of task-based fMRI data | |
| 10) | Midterm exam | |
| 11) | General linear model analysis of task-based fMRI data | |
| 12) | Connectivity analysis of task-based fMRI data | |
| 13) | Visualization of the neuroimaging data | |
| 14) | Presentation of student projects at the end of semester | |
| 15) | Submission of the written projects |
Sources
| Course Notes / Textbooks: | Faro, S. H., & Mohamed, F. B. (Eds.). (2010). BOLD fMRI: A guide to functional imaging for neuroscientists. Springer Science & Business Media. SPM: https://www.fil.ion.ucl.ac.uk/spm/ Conn: https://web.conn-toolbox.org/ Soares, J. M., Magalhães, R., Moreira, P. S., Sousa, A., Ganz, E., Sampaio, A., ... & Sousa, N. (2016). A hitchhiker's guide to functional magnetic resonance imaging. Frontiers in neuroscience, 10, 515. Opensesame, MRICron, Xjview, MRIConvert, dcm2niix, Matlab yazılımları |
| References: | Opensesame, MRICron, Xjview, MRIConvert, dcm2niix, Matlab yazılımları |
Course - Program Learning Outcome Relationship
| Course Learning Outcomes | 1 |
2 |
3 |
4 |
||||
|---|---|---|---|---|---|---|---|---|
| Program Outcomes | ||||||||
| 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 | ||||
| 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 | ||||
| 3) 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 | ||||
| 4) Ability to use communication and computer technologies efficiently in their work. | 3 | 3 | 3 | 3 | ||||
| 5) Transcribe and present the findings and research results verbally or in writing. | 3 | 3 | 3 | 3 | ||||
| 6) Ability to work within the team in the field of neuroscience research | ||||||||
| 7) Undertake the responsibility of the task alone and carry out independent work. | 3 | 3 | 3 | 3 | ||||
| 8) Having a sense of ethical responsibility in research. | 1 | 1 | 1 | 1 | ||||
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Average | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 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) | 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 |
| 3) | 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) | Ability to use communication and computer technologies efficiently in their work. | 3 |
| 5) | Transcribe and present the findings and research results verbally or in writing. | 3 |
| 6) | Ability to work within the team in the field of neuroscience research | |
| 7) | Undertake the responsibility of the task alone and carry out independent work. | 3 |
| 8) | Having a sense of ethical responsibility in research. | 1 |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 60 |
| Midterms | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 100 | |
| PERCENTAGE OF FINAL WORK | % | |
| total | % 100 | |
Workload and ECTS Credit Calculation
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 28 |
| Application | 14 | 14 |
| Study Hours Out of Class | 14 | 111 |
| Project | 1 | 10 |
| Midterms | 1 | 10 |
| Final | 1 | 20 |
| Total Workload | 193 | |