Using noise to distinguish between system and observer effects in multimodal neuroimaging
This study shows that noise can be used in empirical datasets to determine whether cross-scale variation arises from differences in neural dynamics or differences in observer functions.
Authors
- Robert Leech (ORCID: https://orcid.org/0000-0002-5801-6318)
- Gregory Scott (ORCID: https://orcid.org/0000-0001-8063-5871)
- Hirokazu Tanaka (ORCID: https://orcid.org/0000-0002-3153-8802)
- Peter Zeidman (ORCID: https://orcid.org/0000-0003-3610-6619)
- Federico Turkheimer (ORCID: https://orcid.org/0000-0002-3766-3815)
- Karl Friston (ORCID: https://orcid.org/0000-0001-7984-8909)
- Milan Brázdil (ORCID: https://orcid.org/0000-0001-7979-2343)
- Erik D. Fagerholm (ORCID: https://orcid.org/0000-0001-5828-7882)
Institutions
- Queen Mary University of London (GB)
- King's College London (GB)
- Tokyo City University (JP)
- Masaryk University (CZ)
- St. Anne's University Hospital Brno (CZ)
- University College London (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Frontiers in Computational Neuroscience
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3389/fncom.2025.1693279
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Masarykova Univerzita
- NIHR Maudsley Biomedical Research Centre
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Core Research for Evolutional Science and Technology