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Multiscale Quantification of Hemispheric Asymmetry in Cortical Maps Using Geometric Eigenmodes

Milloz, Alicia ; Vogel, Jacob LU ; Olsen, Anders ; Pang, James C. ; Strandberg, Olof LU ; Anijärv, Toomas Erik LU orcid ; Stomrud, Erik LU orcid ; Palmqvist, Sebastian LU orcid ; Spotorno, Nicola LU and Ossenkoppele, Rik LU , et al. (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.

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organization
publishing date
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
1945-7928
1945-8452
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
2025-10-22 09:05:38
@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         = {{1945-7928}},
  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}},
}