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bioRxiv · 10.1101/2022.04.26.489497

Utilising hippocampal neuronal calcium activity in mouse CA1 for a multimodal optical brain-computer interface

Sun, D.·Saatlou, F. H.·Yu, Y.·Unnithan, R. R.·French, C.
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Abstract

The hippocampus has been proposed to integrate information from multiple sensory modalities, supporting a comprehensive "cognitive map" for both spatial and non-spatial information. Previous studies have demonstrated decoding of hippocampal spatial information in real time by recording neuronal action potentials with electrodes. However, decoding of hippocampal non-spatial information robustly in real-time has not been previously shown. Here, we utilise the advantages of widefield optical calcium imaging to construct an optical brain-computer interface (BCI) driven by calcium activity of large neuronal ensembles ([~]600 neurons) to decode spatial, visual and auditory information effectively in real time. We developed a high speed end-to-end analysis workflow with advanced machine learning techniques for decoding. This methodology achieves high decoding accuracy and provides a "cognitive translation" approach that may be applied to both research and clinical applications to allow direct neural communication with animals and patients with impairment of function.

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Sun, D., Saatlou, F. H., Yu, Y., Unnithan, R. R., French, C.. 2022-04-27. Utilising hippocampal neuronal calcium activity in mouse CA1 for a multimodal optical brain-computer interface. https://doi.org/10.1101/2022.04.26.489497

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