Modern neuroscientific approaches to mapping brain function
| Title | Σύγχρονες νευροεπιστημονικές προσεγγίσεις στη χαρτογράφηση της λειτουργίας του εγκεφάλου / Modern neuroscientific approaches to mapping brain function |
| Code | ΤΙΜΝΝΕΒ007 |
| Interdepartmental Programme | DTPMS "Neuroepistīmes, Neuroglōssología kai Efarmogés" (2022-sīmera) |
| Collaborating Schools | Medicine Italian Language and Literature |
| Cycle / Level | 2nd / Postgraduate |
| Teaching Period | Winter/Spring |
| Coordinator | Panagiotis Bamidis |
| Common | No |
| Status | Active |
| Course ID | 600022614 |
Programme of Study: DTPMS "Neuroepistīmes, Neuroglōssología kai Efarmogés" (2022-sīmera)
Registered students: 11
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| Gnōstikī Neuroepistīmī tīs Glṓssas kai Neuroapokatástasī | Elective Courses | 2 | 1 | 7.5 |
| Academic Year | 2025 – 2026 |
| Class Period | Spring |
| Faculty Instructors | |
| Instructors from Other Categories |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600290154
|
Course Type 2021
Specific Foundation
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600290154
- eLearning (Moodle): https://elearning.auth.gr/course/view.php?id=17795
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
The learning outcomes are that students will be able to understand and interpret modern problems in the interpretation of imaging data and to use modern analysis tools. They will also be able to carry out simple experiments.
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Work in teams
- Generate new research ideas
Course Content (Syllabus)
This course presents basic concepts of neuroimaging with a focus on brain function. Although all methods are covered, emphasis is placed on non-invasive, neurophysiological methods such as Electroencephalography and Magnetoencephalography. Elements of experimental design and techniques for data analysis and visualisation are also given and practical use is made of tools for their analysis and interpretation.
In detail:
Introduction to medical informatics, biomedical technology, health information systems - modern developments in digital health
Principles of neuroimaging methods
Physiological basis of non-invasive neurophysiological recordings
Electroencephalography & Magnetoencephalography
Preprocessing of neurophysiological recordings
Brain mapping systems
Analysis and visualisation of neurophysiological recordings
Experimental recordings & practical training
General discussion
Keywords
neuroimaging, electroencephalography, magnetoencephalography
Educational Material Types
- Notes
- Slide presentations
- Podcast
- Multimedia
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 16 | ✓ | |||
| Laboratory Work | 8 | ✓ | |||
| Reading Assigment | 27 | ✓ | |||
| Field trips and participation in conferences / seminars / activities | 4 | ✓ | |||
| Project | 20 | ✓ | |||
| Written assigments | 30 | ✓ | |||
| Exams | 20 | ✓ | |||
| Total | 125 |
Student Assessment
Student Assessment methods
- Written Exam with Multiple Choice Questions (Summative)
- Written Assignment (Summative)
- Report (Summative)
- Labortatory Assignment (Formative)
Last Update
08-01-2024
