Principles and open questions in functional brain network reconstruction

• Published in: Human Brain Mapping
• Main Authors: Korhonen, Onerva, Zanin, Massimiliano, Papo, David
• Other Authors: Department of Computer Science, University of the Balearic Islands, Italian Institute of Technology, Aalto-yliopisto, Aalto University
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2021
• Subjects: brain dynamics; brain topology; edges; functional imaging; functional networks; nodes; resting state; structure–function relationship; temporal networks; Arctic
• Online Access: https://aaltodoc.aalto.fi/handle/123456789/108036; https://doi.org/10.1002/hbm.25462

| openaire: EC/H2020/851255/EU//ARCTIC Graph theory is now becoming a standard tool in system-level neuroscience. However, endowing observed brain anatomy and dynamics with a complex network representation involves often covert theoretical assumptions and methodological choices which affect the way networks are reconstructed from experimental data, and ultimately the resulting network properties and their interpretation. Here, we review some fundamental conceptual underpinnings and technical issues associated with brain network reconstruction, and discuss how their mutual influence concurs in clarifying the organization of brain function. Peer reviewed