Topic outline

  • Welcome!

    Network neuroscience - investigating the brain with tools from network science - belongs to the most rapidly growing fields of neuroscience. Brain networks can be constructed at different spatial and temporal scales and from different data. But what does the network model actually tell about the brain?

    In this course, you will learn, applying skills from CS-E5740 (or other similar course on Complex Networks), how to construct networks from functional neuroimaging data and to analyze them to answer questions about human brain function. You will learn to evaluate different network building methods and to select the right ones to tackle the questions at hand. You will familiarize yourself with open data and software available for brain network analysis. Further, you will read topical articles from the field of network neuroscience and discuss their results and impact. After the course, you will be well armed to face the biggest question of the field: is the human brain really a network?

    The course consists of 6 meetings and a set of assignments (pre-lecture reading, article presentations prepared in groups, learning diary, and a short analysis pipeline design project). Active participation in the course meetings is a must: you will learn by discussing and teaching others! There will be no exam; the course is graded as pass/fail.

    The number of places is limited (20 places). So, remember to register in Sisu before the course starts! The main target group are Master's and Doctoral students.

    The course is taught by Onerva Korhonen and organized fully remotely (via Zoom) in 2022 (you can find the Zoom instance at the Meetings tab). In case of any questions or doubts, don't hesitate to contact me (onerva.korhonen@aalto.fi)!