ToFFi -- Toolbox for Frequency-based Fingerprinting of Brain Signals
원문 초록
Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have filled this gap by creating a modular, highly-configurable MATLAB Toolbox for Frequency-based Fingerprinting (ToFFi). It can transform MEG/EEG signals into unique spectral representations using ROIs provided by anatomical (AAL, Desikan-Killiany), functional (Schaefer), or other custom volumetric brain parcellations. Toolbox design supports reproducibility and parallel computations.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
A Statistical Approach for Synthetic EEG Data Generation
Decoding Covert Speech from EEG Using a Functional Areas Spatio-Temporal Transformer
EEG-CLIP : Learning EEG representations from natural language descriptions
Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
토론
이 논문과 연결된 포럼 글이 아직 없습니다.