Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T
Knowledge of how the functional architecture and hierarchical integration of local contours (curvature) contribute to formation of shapes can inform computational models of object recognition. Techniques described here allow for quantification of individual differences in functional architecture of mid-level visual areas to help drive a better understanding of how changes in functional brain organization relate to difference in visual perception.
Authors
- Elia Formisano (ORCID: https://orcid.org/0000-0001-5008-2460)
- Rainer Goebel (ORCID: https://orcid.org/0000-0003-1780-2467)
- Rüdiger Stirnberg (ORCID: https://orcid.org/0000-0001-7021-1063)
- Antony Bryan Morland (ORCID: https://orcid.org/0000-0002-6754-5545)
- Isaac Watson (ORCID: https://orcid.org/0000-0002-4332-0835)
- Elisa Zamboni (ORCID: https://orcid.org/0000-0001-9200-8031)
- Laurentius Huber (ORCID: https://orcid.org/0000-0002-3291-2202)
- Aneurin J. Kennerley (ORCID: https://orcid.org/0000-0002-7599-7461)
Institutions
- Manchester Metropolitan University (GB)
- National Institutes of Health (US)
- University of Leeds (GB)
- University of Nottingham (GB)
- German Center for Neurodegenerative Diseases (DE)
- Maastricht University (NL)
- University of York (GB)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3389/fnins.2025.1537026
- Citations
- 3
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Biotechnology and Biological Sciences Research Council