Table 5.
Articles included in the review focusing on brain decoding.
| Authors | Year | Application | Population (No. of Patients) |
Image Modality | ML Model | Results |
|---|---|---|---|---|---|---|
| Qiao | 2020 | Brain decoding | 1750 training sample and 120 testing sample | fMRI | GAN-based Bayesian visual reconstruction model (GAN-BVRM) | PSM: 0381 ± 0.082 |
| Ren | 2021 | Brain decoding | Various datasets | MRI | Dual-Variational Autoencoder/Generative Adversarial Network (D-Vae/Gan) | Mean identification accuracy: 87% |
| Huang | 2021 | Brain decoding | Five volunteers (3 males and 2 females) |
fMRI | CAE, LSTM, and conditional progressively growing GAN (C-PG-GAN) deep | Various results for each participant |
| Al-Tahan | 2021 | Brain decoding | 50 healthy right-handed participants | fMRI | Adversarial Autoencoder (AAE) framework | MAE 0.49 ± 0.024 |