Our work about fNIRS processing in speech featured in Neurophotonics

Our work entitled "Functional near-infrared spectroscopy for speech protocols: characterization of motion artifacts and guidelines for improving data analysis" has been listed as featured content in Neurophotonics, the main scientific journal in functional NIRS (fNIRS).

The work is authored by our own Sérgio Novi and it aimed to analyze the effects of motion artifacts due to jaw movement during speech-related protocols. The team characterized the effects of speech production on fNIRS signals, and validated a systematic preprocessing workflow to ameliorate motion artifacts due to jaw movement during speech.

To reinforce the importance of the guidelines suggested, the study compared the performance of different motion artifact algorithms in 50 healthy subjects. The results suggest a standard processing scheme (based on spline interpolation and wavelet decomposition) for fNIRS data during speech protocols that decreases spurious responses and intersubject variability due to motion artifacts.

To read the full article:

Sergio L. Novi, Erin Roberts, Danielle Spagnuolo, Brianna M. Spilsbury, D'manda C. Price, Cara A. Imbalzano, Edwin Forero, Arjun G. Yodh, Glen M. Tellis, Cari M. Tellis, and Rickson C. Mesquita "Functional near-infrared spectroscopy for speech protocols: characterization of motion artifacts and guidelines for improving data analysis," Neurophotonics 7(1), 015001 (10 January 2020). https://doi.org/10.1117/1.NPh.7.1.015001