Biology subjects

Akitake, B.

Publications and source records attributed to Akitake, B..

4 recordsLinked to original sources

bioRxiv2022

Bicistronic expression of a high-performance calcium indicator and opsin yields stable, robust cortical expression for holographic two-photon stimulation

Patterns of activity across many neurons are fundamental units of neural computation. Two-photon holographic photostimulation allows both delivering input to, and imaging responses from, patterns or populations of neurons. However, to make this method an easily-deployable tool, simple methods are needed to robustly and stably express opsins and indicators in the same cells. Here we describe a bicistronic adeno-associated virus (AAV) that in transfected cells expresses both the fast and bright calcium indicator GCaMP8s, and a soma-targeted (st) and two-photon-activatable opsin, ChrimsonR. With this method, in the visual cortex of mice, stChrimsonR stimulation with two-photon holography drives robust spiking in targeted cells, and neural responses to visual sensory stimuli and spontaneous activity are strong and easy to measure. stChrimsonR is a good choice of opsin when a balance is needed between stimulation-laser activatability and avoidance of imaging laser activation. This approach is a simple and robust way to prepare neurons in vivo for two-photon holography and imaging. Significance statementThe recent advent of holographic photostimulation methods in conjunction with standard two-photon calcium imaging promises unprecedented levels of control in manipulating and dissecting brain circuitry in vivo while reading out neural activity. These all-optical methods rely on a working synergy between optogenetic strategies to both measure calcium activity through genetically-encoded calcium indicators and modulate cell activity through light-activated opsins. Genetic strategies to achieve reliable and stable co-expression of opsin and indicator remain sparse and often challenging to execute. Here, we present a genetic tool to achieve robust co-expression of jGCaMP8s indicator and stChrimsonR opsin via a single injected virus to help facilitate experiments aiming to use holography to investigate the circuit principles underlying brain activity.

neuroscience↗

bioRxiv2022

Amplified cortical neural responses as animals learn to use novel activity patterns

Cerebral cortex supports representations of the world in patterns of neural activity, used by the brain to make decisions and guide behavior. Past work has found diverse, or limited, changes in the primary sensory cortex in response to learning, suggesting the key computations might occur in downstream regions. Alternatively, sensory cortical changes may be central to learning. We studied cortical learning by using controlled inputs we insert: we trained mice to recognize entirely novel, non-sensory patterns of cortical activity in the primary visual cortex (V1) created by optogenetic stimulation. As animals learned to use these novel patterns, we found their detection abilities improved by an order of magnitude or more. The behavioral change was accompanied by large increases in V1 neural responses to fixed optogenetic input. Neural response amplification to novel optogenetic inputs had little effect on existing visual sensory responses. A recurrent cortical model shows that this amplification can be achieved by a small mean shift in recurrent network synaptic strength. Amplification would seem to be desirable to improve decision-making in a detection task, and therefore these results suggest that adult recurrent cortical plasticity plays a significant role in improving behavioral performance during learning.

neuroscience↗

bioRxiv2020

Performance in even a simple perceptual task depends on mouse secondary visual areas

Primary visual cortex (V1) in the mouse projects to numerous brain areas, including several secondary visual areas, frontal cortex, and basal ganglia. While it has been demonstrated that optogenetic silencing of V1 strongly impairs visually-guided behavior, it is not known which downstream areas are required for visual behaviors. Here we trained mice to perform a contrast-increment change detection task, for which substantial stimulus information is present in V1. Optogenetic silencing of visual responses in secondary visual areas revealed that their activity is required for even this simple visual task. In vivo electrophysiology showed that, although inhibiting secondary visual areas could produce some feedback effects in V1, the principal effect was profound suppression at the location of the optogenetic light. The results show that pathways through secondary visual areas are necessary for even simple visual behaviors.

neuroscience↗

bioRxiv2019

Inhibition stabilization is a widespread property of cortical networks

Many cortical network models use recurrent coupling strong enough to require inhibition for stabilization. Yet it has been experimentally unclear whether inhibition-stabilized network (ISN) models describe cortical function well across areas and states. Here we test several ISN predictions, including the counterintuitive (paradoxical) suppression of inhibitory firing in response to optogenetic inhibitory stimulation. We find clear evidence for ISN operation in mouse visual, somatosensory, and motor cortex. Simple two-population ISN models describe the data well and let us quantify coupling strength. Though some models predict a non-ISN to ISN transition with increasingly strong sensory stimuli, we find ISN effects without sensory stimulation and even during light anesthesia. Additionally, average paradoxical effects result only with transgenic, not viral, opsin expression in parvalbumin (PV)-positive neurons; theory and expression data show this is consistent with ISN operation. Taken together, these results show strong coupling and inhibition stabilization are common features of cortex.

neuroscience↗