BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction
Functional magnetic resonance imaging (fMRI) enables noninvasive investigation of brain function, while short clinical scan durations, arising from human and non-human factors, usually lead to reduced data quality and limited statistical power for neuroimaging research. In this paper, we propose BrainCast, a novel spatio-temporal forecasting framework specifically tailored for whole-brain fMRI time series forecasting, to extend informative fMRI time series without additional data acquisition. It
Record details
Published: 9 March 2026
Source: arXiv
Category: Research
Topics: Healthcare · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (9 March 2026), “BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction,” evidence record 7515, https://ethics.ai/record/7515 (originally published by arXiv).
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