Article

Scalable and Adaptive Spatiotemporal Modeling for Task-Based fMRI Analysis

2025-12-09

Abstract excerpt

Task-based fMRI is commonly analyzed using voxel-wise general linear models, a non-spatial scalable approach that can yield fragmented activation maps. Spatial alternatives such as kernel smoothing and Bayesian models address this but either blur activation boundaries or are computationally prohibitive at modern spatial resolutions. We introduce SPLASH (Spline-Based Processing for Localized Adaptive Spatial Hemody...

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Literature Corpus work: da2a3b34-495c-5a39-accb-3a74917637b7
DOI: 10.64898/2025.12.04.692389

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