Congratulations to Ph.D. student Hongru Liu & Jiyong Li & Lingyi Zheng et.al. published an article about Marmoset BMI in “Advanced Science”.

Deciphering neural mechanisms underlying dynamic natural behaviors of freely moving species requires long-term recordings of large-scale brain activities. However, most conventional neural recorders are limited by their weights and measures, electrode coverage, and signal throughput, hindering the dissection of underlying neural mechanisms.

In the article, “Deciphering Neural Mechanisms Underlying Marmoset Dynamic Natural Behaviors Using a Miniaturized Wireless Large-Scale Coverage Neural Recorder “, Liu et al present real-time large-scale recordings and deciphering of brain activities from frontal and temporal cortices of freely moving marmoset across various natural behavioral repertoire using a miniaturized wireless BMI comprising a custom-designed 120-channel flexible μECoG array. Behavior-specific highly resolved spatiotemporal neural dynamics are observed, including alpha-band activations during drinking, anticipatory responses before vocalization, and transient high-gamma increase during vigilance to human intruders. Three phases of drinking behavior are identified using multi-area neural features captured by the BMI with an accuracy exceeding 87%. After over 18 months (March 13, 2024-August 1, 2024, remaining actively recording) of recordings, the neural signals acquired using the BMI maintain high fidelity and low attenuation during both the resting and drinking states, enabling potential long-term dissection of the neural mechanisms of natural behaviors in freely moving marmosets.

Figure | Neuro-behavioural research underlying natural behaviors in marmoset using a customized wireless BMI.

THE BIGGER PICTURE

The diagram shows the neurobehavioural research flow of a marmoset’s natural behaviors including three parts: (i) The freely moving natural behaviors in this study include drinking, vocal communication, and vigilance to human intruders. Behavior-related neural signals of large-scale brain regions are recorded using the neural recorder and transmitted to the upper computer in real-time. (ii) Acquired multi-area neural signals are onffline synchronized with multiple phases of dynamic behavior and converted into scalograms for time-frequency representation. (iii) The spatiotemporal neural dynamics of multiple frequency bands across multi-brain regions are presented during their natural behaviors. IMU, inertial measurement unit. ACC, accelerometer. GYRO, gyroscope.

Highlights

1. A lightweight modular real-time BMI platform with 120-channel wireless throughput, which achieves high density of μECoG signals in freely moving marmosets;
2. Two custom-designed flexible μECoG arrays tailored to the morphology of the frontal cortex (FC) and the temporal cortex (TC), attaining a balance between large-scale coverage and high spatial resolution;
3. Over 18-month stable recordings of high-fidelity neural signals, enabling chronic studies examining neural plasticity and the influence of environmental factors on neural functions;
4. Distinct spatiotemporal neural dynamics in FC and TC were observed, including alpha-band activation during drinking, anticipatory responses before vocalization, and transient high-gamma increase in vigilance.

For more information, please visit the article directly. Link to original article:

H. Liu, X. Cao, J. Li, et al. “ Deciphering Neural Mechanisms Underlying Marmoset Dynamic Natural Behaviors Using a Miniaturized Wireless Large-Scale Coverage Neural Recorder.” Adv. Sci. (2025): e07110. https://doi.org/10.1002/advs.202507110

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