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degree courses
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School of Psychology
NEUROSCIENCE AND NEUROPSYCHOLOGICAL REHABILITATION
Course unit
SPATIO-TEMPORAL ANALYSIS OF ELECTROENCEPHALOGRAPHIC ACTIVITY IN COGNITIVE NEUROSCIENCE
PSP8082780, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course Second cycle degree in
NEUROSCIENCE AND NEUROPSYCHOLOGICAL REHABILITATION
PS1091, Degree course structure A.Y. 2017/18, A.Y. 2019/20
N0
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Number of ECTS credits allocated 3.0
Type of assessment Evaluation
Course unit English denomination SPATIO-TEMPORAL ANALYSIS OF ELECTROENCEPHALOGRAPHIC ACTIVITY IN COGNITIVE NEUROSCIENCE
Department of reference Department of General Psychology
E-Learning website https://elearning.unipd.it/scuolapsicologia/course/view.php?idnumber=2019-PS1091-000ZZ-2018-PSP8082780-N0
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit CANNOT be attended under the option Single Course unit attendance
Optional Course unit The Course unit is available ONLY for students enrolled in NEUROSCIENCE AND NEUROPSYCHOLOGICAL REHABILITATION

Lecturers
Teacher in charge GIOVANNI MENTO M-PSI/02

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Other -- -- 3.0

Course unit organization
Period First semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Laboratory 3.0 21 54.0 No turn

Calendar
Start of activities 07/10/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2017 course timetable

Examination board
Board From To Members of the board
1 2019 01/10/2019 30/09/2020 MENTO GIOVANNI (Presidente)
BEGLIOMINI CHIARA (Membro Effettivo)
SPIRONELLI CHIARA (Membro Effettivo)

Syllabus
Prerequisites: The contents of this Laboratory can be integrated with those provided by the course of Psychophysiology of Cognitive and Emotional Processes. In particular, the prerequisites concern the basic knowledge of the origin of the electroencephalographic signal and of the main steps necessary for the acquisition of the biosignal and for the computation of the event-related potentials.
Target skills and knowledge: The student will acquire practical skills on the acquisition and analysis of the high-density electroencephalographic signal (HD-EEG), which allow to reveal the precise spatio-temporal dynamics of the neural activity underlying cognitive processes. In particular, the student will be able to compute the event-related potentials and analyze their main components, and to apply sophisticated analysis algorithms in order to obtain both the probabilistic reconstruction of the neural sources and the functional connectivity analysis, a promising methodological approach for cognitive neuroscience both in healthy and in pathological conditions.
Examination methods: The exam will take place during the last lecture of the Laboratory or in an ad hoc exam date scheduled by the lecturer, and will focus on the contents dealt with during the Laboratory, with particular reference to their applicative and operational components.
The exam will include the analysis of an electroencephalographic trace using specific softwares. The examination procedures will therefore be in line with the experiential techniques used during the lessons.
Assessment criteria: The exam will aim to assess the student's knowledge and mastery of the contents presented during the course.
Since the Laboratory consists of an experiential teaching methodology, the learning assessment criteria will focus specifically on these aspects, with particular reference to the empirical and operational effects of the instruments, methods, and techniques presented during the Laboratory. Additional elements that will contribute to defining the final evaluation will be the active participation during the lessons/exercises, the activities carried out autonomously in the application of the presented contents, the participatory and shared presence in the work group.
Course unit contents: The following contents will be addressed:
- Introduction to the acquisition and analysis of the high-density (HD) EEG signal.
- Elements of laboratory setting and experimental programming.
- Visual inspection of the continuous HD-EEG trace and identification of the element graphs.
- Pre-processing analysis of the HD-EEG signal (filtering, segmentation, independent component analysis, etc.).
- Averaging and visual inspection of the event-related (ERP) waveforms.
- Analysis of two- and three-dimensional topographic maps.
- Source reconstruction.
Planned learning activities and teaching methods: Regular attendance in class is expected from students, who will be divided into small groups, to facilitate their learning process on a professional and experiential basis. Group work in the classroom is an integral part of the teaching method of the Laboratory and is one of the learning activities, in addition to the assessment of students’ individual contribution. In this sense, regular attendance of the Laboratory is highly recommended.
STUDENTS WHO, FOR EXCEPTIONAL REASONS, ARE UNABLE TO ATTEND ARE ADVISED TO CONTACT THE LECTURER IN A TIMELY MANNER TO ARRANGE FOR ALTERNATIVE ACTIVITIES.
Additional notes about suggested reading: During the course, ad hoc articles will be provided on research techniques and methodologies that will be discussed and evaluated.
The study material for the exam is the following:
- the course slides;
- some scientific articles in English.
All the study material (lesson slides, proposed readings, datasets) will be made available on the Moodle online platform.
Textbooks (and optional supplementary readings)

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Interactive lecturing
  • Working in group
  • Action learning

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Matlab

Sustainable Development Goals (SDGs)
Good Health and Well-Being Quality Education