fMRI-Diffusion generates synthetic ROI-level fMRI time series via a temporal transformer diffusion model with supervised pretraining, improving MDD diagnostic accuracy by up to 3.7 percentage points over prior FC-matrix synthesis methods on the REST-meta-MDD dataset.
Higher-order organization in the human brain from matrix-basedrényi’sentropy
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fMRI-Diffusion: Generating fMRI Time Series Via a Temporal Transformer Diffusion Model for Major Depressive Disorder Diagnosis
fMRI-Diffusion generates synthetic ROI-level fMRI time series via a temporal transformer diffusion model with supervised pretraining, improving MDD diagnostic accuracy by up to 3.7 percentage points over prior FC-matrix synthesis methods on the REST-meta-MDD dataset.