Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

By completing the course, the student gets a good understanding of diffusion MRI acquisition and analysis methods, and an overview of applications of these methods. Student is able to explain the principles of investigating brain microstructure and structural brain connectivity with diffusion MRI and recognize issues in applying these methods in research and clinical work.

Credits: 5

Schedule: 05.03.2025 - 21.05.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Timo Roine

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Diffusion MRI acquisition, preprocessing, and analysis methods, including streamlines tractography for structural brain connectivity, graph theoretical analysis of brain networks, and biophysical models for imaging brain microstructure.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    The seminar consists of six face-to-face sessions, in which participation is compulsory and five voluntary exercise / demonstration sessions. Learning is evaluated via quizzes during the teaching sessions. Students are expected to read assigned material before each session and engage in discussion. Students will also return five smaller homework assignments individually and a larger project assignment in small groups (for instance, writing a research plan or a small research project, for instance, implementation of an analysis algorithm on real data and writing corresponding report). Evaluation 0-5 is based on face-to-face sessions (quiz answers and oral responses) (33.3%), homework assignments (33.3%), and the quality of the project work (33.3%).

Workload
  • valid for whole curriculum period:

    Self-learning (assigned material, approx. 50 pages of professional text per topic): 6 x 8 h = 48 h Project work (approx. 6 pages): 60 h, of which reading (30 h) and writing (30 h)

DETAILS

Study Material
  • valid for whole curriculum period:

    Will be announced in the beginning of the course.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2023-2024 Spring V