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...
Published in: | Human Brain Mapping |
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Main Authors: | , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Wiley
2021
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Subjects: | |
Online Access: | https://aaltodoc.aalto.fi/handle/123456789/108036 https://doi.org/10.1002/hbm.25462 |
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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