On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes
(2025) 22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025- Abstract
Understanding the interplay between human brain structure and function is crucial to discern neural dynamics. This study explores the relation between brain structure and macroscale functional activity using subject-specific structural connectome eigenmodes, complementing prior work that focused on group-level models and geometry. Leveraging data from the Human Connectome Project, we assess accuracy in reconstructing various functional MRI-based cortical maps using individualised eigenmodes, specifically, across a range of connectome construction parameters. Our results show only minor differences in performance between surface geometric eigen-modes, a local neighborhood graph, a highly smoothed null model, and individual and... (More)
Understanding the interplay between human brain structure and function is crucial to discern neural dynamics. This study explores the relation between brain structure and macroscale functional activity using subject-specific structural connectome eigenmodes, complementing prior work that focused on group-level models and geometry. Leveraging data from the Human Connectome Project, we assess accuracy in reconstructing various functional MRI-based cortical maps using individualised eigenmodes, specifically, across a range of connectome construction parameters. Our results show only minor differences in performance between surface geometric eigen-modes, a local neighborhood graph, a highly smoothed null model, and individual and group-level connectomes at modest smoothing and density levels. Furthermore, our results suggest that spatially smooth eigenmodes best explain functional data. The absence of improvement of individual connectomes and surface geometry over smoothed null models calls for further methodological innovation to better quantify and understand the degree to which brain structure constrains brain function.
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- author
- Olsen, Anders S. ; Sina Mansour, L. ; Pang, James C. ; Zalesky, Andrew ; Van De Ville, Dimitri and Behjat, Hamid LU
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- brain structure-function interplay, cortical geometry, functional MRI, structural connectivity
- host publication
- ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings
- publisher
- IEEE Computer Society
- conference name
- 22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025
- conference location
- Houston, United States
- conference dates
- 2025-04-14 - 2025-04-17
- external identifiers
-
- scopus:105005828947
- ISBN
- 9798331520526
- DOI
- 10.1109/ISBI60581.2025.10980669
- language
- English
- LU publication?
- yes
- id
- bb0c184f-ffe9-4565-ab84-32dbea661a7e
- date added to LUP
- 2025-09-26 12:06:23
- date last changed
- 2025-10-14 10:44:05
@inproceedings{bb0c184f-ffe9-4565-ab84-32dbea661a7e,
abstract = {{<p>Understanding the interplay between human brain structure and function is crucial to discern neural dynamics. This study explores the relation between brain structure and macroscale functional activity using subject-specific structural connectome eigenmodes, complementing prior work that focused on group-level models and geometry. Leveraging data from the Human Connectome Project, we assess accuracy in reconstructing various functional MRI-based cortical maps using individualised eigenmodes, specifically, across a range of connectome construction parameters. Our results show only minor differences in performance between surface geometric eigen-modes, a local neighborhood graph, a highly smoothed null model, and individual and group-level connectomes at modest smoothing and density levels. Furthermore, our results suggest that spatially smooth eigenmodes best explain functional data. The absence of improvement of individual connectomes and surface geometry over smoothed null models calls for further methodological innovation to better quantify and understand the degree to which brain structure constrains brain function.</p>}},
author = {{Olsen, Anders S. and Sina Mansour, L. and Pang, James C. and Zalesky, Andrew and Van De Ville, Dimitri and Behjat, Hamid}},
booktitle = {{ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings}},
isbn = {{9798331520526}},
keywords = {{brain structure-function interplay; cortical geometry; functional MRI; structural connectivity}},
language = {{eng}},
publisher = {{IEEE Computer Society}},
title = {{On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes}},
url = {{http://dx.doi.org/10.1109/ISBI60581.2025.10980669}},
doi = {{10.1109/ISBI60581.2025.10980669}},
year = {{2025}},
}