Main Menu
apply now
apply now
Facebook X-twitter Youtube Linkedin Instagram
Main Menu
01 uol logo tagline lockup
Main Menu
Flyout Menu

PSY314 – Neuroimaging Techniques

Bachelor of Science in Psychology

Return to the program

Elective Course

PSY314 – Neuroimaging Techniques

Course Unit Code: PSY314

Type Of Unit: Elective

Level of Course Unit: Undergraduate

Year of Study: Year 3

Number of ECTS Credits: 7.5

Class Contact Hours: 36

Mode of Delivery

Face to Face

Prerequisites

PSY202, PSY207 & PSY209

empty chairs tables room vintage retro tone (1)

The purpose of this course is to provide students with a comprehensive understanding of the various neuroimaging techniques used in the field of psychology. This course aims to equip students with the theoretical knowledge and practical skills necessary to critically evaluate, utilize, and contribute to research involving neuroimaging methods. By the end of the course, students should be able to apply neuroimaging techniques to investigate brain structure and function, analyze neuroimaging data, and interpret the implications of findings for psychological theories and applications. 

Learning Outcomes

The following learning outcomes are expected, where students will:  

  1. Understand the fundamental principles of various neuroimaging techniques, including MRI, fMRI, PET, SPECT, and EEG/MEG. 
  2. Explain the differences between structural and functional imaging modalities and their applications. 
  3. Analyze and interpret neuroimaging data, including activation patterns and connectivity networks. 
  4. Discuss ethical considerations in neuroimaging research involving human participants. 
  5. Communicate neuroimaging findings clearly to both expert and non-expert audiences. 

This course aims to equip students with the theoretical knowledge and practical skills necessary to critically evaluate, utilize, and contribute to research involving neuroimaging methods. By the end of the course, students should be able to apply neuroimaging techniques to investigate brain structure and function, analyze neuroimaging data, and interpret the implications of findings for psychological theories and applications.

Week 1: Introduction to Neuroimaging Techniques

Week 2: Neuroimaging Technology and Data Acquisition

Week 3: Preprocessing and Data Analysis

Week 4: Structural and Functional Neuroimaging

Week 5: Advanced Analysis Techniques

Week 6: Linking Neuroimaging and Psychology

Week 7: Ethical Considerations and Responsible Research

Week 8: Research Design and Methodology

Week 9: Data Interpretation and Communication

Week 10: Emerging Trends and Future Directions

Week 11: Practical Labs and Hands-on Experience

Week 12: Final Projects and Presentations

Course Features

Teaching methodology: Lecture

Assessment:

  1. Midterm & Final Exam (30% & 30%): Mid-term and final exams will be conducted covering the entire course. Both exams will include multiple-choice, short-answer, and essay questions.  
  2. Group assignment and presentation (20%): Assign group project where students integrate theoretical knowledge, practical skills, and critical analysis to address a complex neuroimaging question. 
  3. Individual assignments (10%): Hands-on assignments that involve preprocessing and analyzing neuroimaging data using software tools. Assignments will include tasks such as image registration, normalization, activation analysis, and connectivity analysis. 
  4. Presence & Participation (10%): Students should be present and actively participate in in-class discussions. 

Readings

The latest peer-reviewed journal articles, reviews, and reputable online resources will be distributed by the lecturer throughout the course. 

Call Center

CYPRUS

GREECE

INTERNATIONAL

Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is implemented under the programme of social cohesion “THALIA 2021-2027” co-funded by the European Union, through the Research and Innovation Foundation in Cyprus [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.