Search bioRxiv⌕ Search

Biology subjects

Zanettin, I.

Publications and source records attributed to Zanettin, I..

2 recordsLinked to original sources

Methodological determinants of signal quality in electrobulbogram recordings

The electrobulbogram (EBG) is a new, non-invasive method for measuring the functional activity of the human olfactory bulb (OB). To date, the EBG has been used to assess how the OB process odor identity, valence, intensity, and it has shown promise as an early biomarker for Parkinsons disease. However, current implementation of the EBG method depends on several methodological components, including subject specific co-registration of electrode positions through neuronavigation and EEG source reconstruction, which may limit accessibility for many research groups. In this study, we test the quality and reliability of the OB signal under different configurations to potentially remedy this. Specifically, we compare six EBG setups that vary in the use of subject-specific T1 scans versus a template head model, co-registered versus template electrode positions, and individualized versus template-based OB location. Our results indicate that strongest EBG signals are obtained when using subject-specific T1 scans in combination with co-registered electrode positions. However, we obtained significant EBG activity even when using a fully template-based configuration. Our anatomical analysis of OB location of 941 individuals reveals that in 86% of cases, the OB is centered within the spatial resolution bounds of the EEG source dipole, supporting the feasibility of detecting olfactory bulb signals without precise individual anatomical mapping using template coordinates. These findings suggest that while subject-specific configurations enhance signal quality, the EBG method remains robust enough to yield meaningful results even with less complex setups. This enables a broader adoption of the EBG method in both clinical and research settings.

neuroscience↗

Olfactory bulb and cortex activity reflects subjective odor intensity perception rather than concentration

Understanding stimulus intensity processing is fundamental in sensory science, yet this question remains largely unexplored in human olfaction. We investigated how the human olfactory bulb (OB) and piriform cortex (PC) process odor concentration versus subjective perceived intensity. We demonstrate that OB-PC network oscillatory dynamics are predominantly driven by perceived intensity, not physical concentration. The OB initially processes and communicates perceived intensity to the PC via early gamma-band oscillations (bottom-up feedback). The PC then refines and sends this percept back to the OB via later beta-band oscillations (top-down feedback), updating the OBs gamma activity for subsequent odorants. Critically, analyses of phase-amplitude coupling and beta burst activity demonstrate that transient beta patterns from the PC update OB gamma activity, providing the OB with an updated internal representation of the odor percept. These results reveal an oscillatory mechanism by which the olfactory system maintains perceptual constancy and adaptability despite fluctuations in environmental odor concentrations.

neuroscience↗