Jessica Turner (@jessicaturnerphd.bsky.social)

Yay and congrats to Marlena for getting this done and posted! I mean, seriously, 15,000 brain scans? That's got to be definitive. It is tremendous to see how ICA patterns can become so robust! www.biorxiv.org/content/10.6...

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Neuromark Fusion: A Replicable Multimodal Template for Structure-Function Fusion of Brain MRI Multimodal data fusion is a powerful technique for extracting shared and complementary information about the brain that is captured across neuroimaging modalities. Independent component analysis (ICA)-based approaches are among the most widely utilized methods for multimodal fusion, as they are data-driven, robust to noise, and capable of identifying complex, hidden linkages of varying strengths across high-dimensional datasets. However, the data-driven nature of ICA fusion approaches can make comparisons across analyses difficult without a normative framework in place. In this work, we utilize resting state functional MRI (rsfMRI) and structural MRI (sMRI) scans from >15,000 subjects to generate a normative model of multimodal structure-function linkages that can be used as a template to guide ICA fusions of new datasets. When applying this template in two datasets, resultant components exhibit high correspondence to the template even in small sample sizes, and subject-level loadings from template-derived ICs show significant associations to age. ### Competing Interest Statement The authors have declared no competing interest. https://www.biorxiv.org/content/10.64898/2026.01.23.701328v1.abstract