DeepCor: denoising fMRI data with contrastive autoencoders.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41315815.
- Also identified by DOI 10.1038/s41592-025-02967-x.
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Abstract
Functional magnetic resonance imaging (fMRI) allows noninvasive measurement of neural activity with high spatial resolution. However, fMRI data are affected by noise. Here we introduce and evaluate a denoising method (DeepCor) that utilizes deep generative models to disentangle and remove noise. The method is applicable to data from single participants. DeepCor outperforms other state-of-the-art denoising approaches on a variety of simulated datasets. In real fMRI data, DeepCor enhances BOLD signal responses to face stimuli, outperforming CompCor by 215%.
Medical subject headings
- Magnetic Resonance Imaging
- Brain
- Image Processing, Computer-Assisted
- Brain Mapping