Work

Brain Network Alignment Using Structural and Functional Connectivity With Anatomical Constraints

Year: 2025

Type: conference-paper

Abstract: Brain research often segments the cortex into regions based on an atlas, assuming a perfect matching of the regions across different subjects. However, due to genetic and environmen-tal factors, inter-subject variability makes it challenging to produce a single brain atlas with a perfect correspondence of region labels across subjects, especially at a fine-grained scale. Previous work has proposed to use structural connec-tomes constructed from diffusion magnetic resonance imaging to permute brain regions across subjects and align the cortical regions from one subject to another, leading to an improved similarity of connectomes across subjects. In this work, we propose a multimodal approach to exploit simultaneously structural and functional connectivity information in the alignment process. Spatial constraints are included to prevent unlikely permutations between remote regions. Ex-perimental results show the validity of the approach and the effectiveness of the constraint.

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi60581.2025.10981283

Authors: Y. Aeschlimann, A. Calissano, T. Papadopoulo, S. Deslauriers-Gauthier

Institutions: Institut national de recherche en sciences et technologies du numérique, Université Côte d'Azur, CRONOS: Modélisation des résaux dynamiques cérébraux, EPIONE: E-Patient : Images, données & mOdèles pour la médeciNe numériquE, Imperial College London

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

Funder: Imperial College London

OpenAlex ID: W4407198364