Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes
(2025) 22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025 In Proceedings - International Symposium on Biomedical Imaging- Abstract
Hemispheric asymmetry is a universal property of brain organization with wide implications into brain function and structure, and diseases. This study presents a laterality index for characterizing hemispheric asymmetries that underlie cortical maps using geometric eigenmodes derived from human cortical surfaces. We develop a generalized design to quantify asymmetries across various cortical spatial scales. While the design is individual-specific, we implement normalization steps to enable unbiased comparisons across individuals. As a proof of concept, we validated the method on cortical maps of 545 subjects across two datasets, using fMRI maps of healthy individuals and tau-PET maps of patients across the Alzheimer's disease continuum.... (More)
Hemispheric asymmetry is a universal property of brain organization with wide implications into brain function and structure, and diseases. This study presents a laterality index for characterizing hemispheric asymmetries that underlie cortical maps using geometric eigenmodes derived from human cortical surfaces. We develop a generalized design to quantify asymmetries across various cortical spatial scales. While the design is individual-specific, we implement normalization steps to enable unbiased comparisons across individuals. As a proof of concept, we validated the method on cortical maps of 545 subjects across two datasets, using fMRI maps of healthy individuals and tau-PET maps of patients across the Alzheimer's disease continuum. Our results reveal that cortical regions in different canonical functional networks have connectivity patterns that entail different degrees of hemispheric asymmetry. Moreover, aggregates of the pathological tau protein manifest subtle asymmetries at varying spatial scales along the disease continuum.
(Less)
- author
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Alzheimer's Disease, Cortical Asymmetry, Geometric Eigenmodes
- host publication
- ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings
- series title
- Proceedings - International Symposium on Biomedical Imaging
- 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:105005828511
- ISSN
- 1945-8452
- 1945-7928
- ISBN
- 9798331520526
- DOI
- 10.1109/ISBI60581.2025.10980761
- language
- English
- LU publication?
- yes
- id
- 5862c0f6-6ddc-4a2b-afea-b5ae8e13fe59
- date added to LUP
- 2025-09-24 11:06:16
- date last changed
- 2025-09-25 03:13:05
@inproceedings{5862c0f6-6ddc-4a2b-afea-b5ae8e13fe59, abstract = {{<p>Hemispheric asymmetry is a universal property of brain organization with wide implications into brain function and structure, and diseases. This study presents a laterality index for characterizing hemispheric asymmetries that underlie cortical maps using geometric eigenmodes derived from human cortical surfaces. We develop a generalized design to quantify asymmetries across various cortical spatial scales. While the design is individual-specific, we implement normalization steps to enable unbiased comparisons across individuals. As a proof of concept, we validated the method on cortical maps of 545 subjects across two datasets, using fMRI maps of healthy individuals and tau-PET maps of patients across the Alzheimer's disease continuum. Our results reveal that cortical regions in different canonical functional networks have connectivity patterns that entail different degrees of hemispheric asymmetry. Moreover, aggregates of the pathological tau protein manifest subtle asymmetries at varying spatial scales along the disease continuum.</p>}}, author = {{Milloz, Alicia and Vogel, Jacob and Olsen, Anders and Pang, James C. and Strandberg, Olof and Anijärv, Toomas Erik and Stomrud, Erik and Palmqvist, Sebastian and Spotorno, Nicola and Ossenkoppele, Rik and Van De Ville, Dimitri and Hansson, Oskar and Behjat, Hamid}}, booktitle = {{ISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings}}, isbn = {{9798331520526}}, issn = {{1945-8452}}, keywords = {{Alzheimer's Disease; Cortical Asymmetry; Geometric Eigenmodes}}, language = {{eng}}, publisher = {{IEEE Computer Society}}, series = {{Proceedings - International Symposium on Biomedical Imaging}}, title = {{Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes}}, url = {{http://dx.doi.org/10.1109/ISBI60581.2025.10980761}}, doi = {{10.1109/ISBI60581.2025.10980761}}, year = {{2025}}, }