| AI | Artificial intelligence |
| ADHD | Attention deficit hyperactivity disorder |
| ANN | Artificial neural networks |
| ANOVA | Analysis of variance |
| Chi2 | Chi squared |
| Conv-LSTM | Convolutional long short-term memory |
| CNN | Convolutional neural network |
| C-SVM | Cubic support vector machine |
| dPTE | Directed phase transfer entropy |
| DWT | Discrete wavelet transform |
| EBM | Explainable boosted machine |
| ECM | Effective connectivity matrices |
| EEG | Electroencephalography |
| EMD | Empirical mode decomposition |
| EWD | Empirical wavelet transform |
| EVD | Empirical variational decomposition |
| FFT | Fast Fourier transform |
| fMRI | Functional magnetic resonance imaging |
| FN | False negative |
| FP | False positive |
| FS | Feature selection |
| GA | Genetic algorithm |
| Grad-CAM | Gradient-weighted Class Activation Mapping |
| GRU | Gated recurrent network |
| HT | Hilbert transform |
| ITD | Intrinsic time-scale decomposition |
| k-NN | k-nearest neighbors |
| KW | Kruskal–Wallis |
| LRM | Layer-wise Relevance Propagation |
| LSTM | Long short-term memory |
| MCC | Mathew correlation coefficient |
| ML | Machine learning |
| MRA | Multi-resolution analysis |
| MRI | Magnetic resonance imaging |
| mRMR | Minimum redundancy and maximal relevance |
| M-SVM | Medium Gaussian support vector machine |
| PCA | Principal component analysis |
| Q-SVM | Quadratic support vector machine |
| RLMD | Robust local mode decomposition |
| SVM | Support vector machine |
| TN | True negative |
| TP | True positive |
| VMD | Variational mode decomposition |