Abstract
The simultaneous utilization of electrophysiological recordings and two-photon imaging allows the observation of neural activity in a high temporal and spatial resolution at the same time. The three dimensional monitoring of morphological features near the microelectrode array makes the observation more precise and complex. In vitro experiments were performed on mice neocortical slices expressing the GCaMP6 genetically encoded calcium indicator for monitoring the neural activity with two-photon microscopy around the implanted microelectrodes. A special filtering algorithm was used for data analysis to eliminate the artefacts caused by the imaging laser. Utilization of a special filtering algorithm allowed us to detect and sort single unit activities from simultaneous two-photon imaging and electrophysiological measurement.
Highlights
Measurement methods which yield signals of neural activities with high information content, such as electrocorticography (ECoG) and intracortically implanted high density microelectrode arrays (MEAs), have vastly contributed to the progress of neuroscience and brain-computer interfacing [1,2,3,4]
In vitro experiments were performed on mice expressing the GCaMP6 genetically encoded calcium indicator for the monitoring of neural activity around the MEA [38,39]
Simultaneous two-photon imaging and electrophysiological measurements with MEMS microelectrode arrays at the same location is compromised by the Simultaneous utilization of electrophysiological recordings and two-photon imaging formation of photoelectric artefacts in the electrophysiological signals
Summary
Measurement methods which yield signals of neural activities with high information content, such as electrocorticography (ECoG) and intracortically implanted high density microelectrode arrays (MEAs), have vastly contributed to the progress of neuroscience and brain-computer interfacing [1,2,3,4]. MEAs are capable of recording the summed bioelectrical activities of neuron populations (i.e. local field potentials, LFPs), but they can detect individual activities of neurons (i.e. single unit activities, SUAs) [5,6]. These methods had an instrumental role in the functional mapping of the brain [7] and they are still the ultimate solution when high spatial and temporal resolution are required [4,8,9].
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