Principles and open questions in functional brain network reconstruction

| 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...

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Bibliographic Details
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
Description
Summary:| 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

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