All-optical recreation of naturalistic neural activity with a multifunctional transgenic reporter mouse

Bounds, Hayley A.; Sadahiro, Masato; Hendricks, William D.; Gajowa, Marta; Gopakumar, Karthika; Quintana, Daniel; Tasic, Bosiljka; Daigle, Tanya L.; Zeng, Hongkui; Oldenburg, Ian A.; Adesnik, Hillel

doi:10.1016/j.celrep.2023.112909

Cited by 5 publications

(4 citation statements)

References 89 publications

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“…Standardizing these parameters should aid in better comparison across studies. More generally, using an approach that ensures specific numbers and temporal patterns of the evoked spikes 58 should obviate the need for matching these parameters.…”

Section: Discussionmentioning

confidence: 99%

The logic of recurrent circuits in the primary visual cortex

Oldenburg,

Hendricks,

Handy

et al. 2024

Nat Neurosci

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Recurrent cortical activity sculpts visual perception by refining, amplifying or suppressing visual input. However, the rules that govern the influence of recurrent activity remain enigmatic. We used ensemble-specific two-photon optogenetics in the mouse visual cortex to isolate the impact of recurrent activity from external visual input. We found that the spatial arrangement and the visual feature preference of the stimulated ensemble and the neighboring neurons jointly determine the net effect of recurrent activity. Photoactivation of these ensembles drives suppression in all cells beyond 30 µm but uniformly drives activation in closer similarly tuned cells. In nonsimilarly tuned cells, compact, cotuned ensembles drive net suppression, while diffuse, cotuned ensembles drive activation. Computational modeling suggests that highly local recurrent excitatory connectivity and selective convergence onto inhibitory neurons explain these effects. Our findings reveal a straightforward logic in which space and feature preference of cortical ensembles determine their impact on local recurrent activity.

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Section: Discussionmentioning

confidence: 99%

The logic of recurrent circuits in the primary visual cortex

Oldenburg,

Hendricks,

Handy

et al. 2024

Nat Neurosci

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“…For example, the DeMOSAIC system may be combined with structured illumination microscopy to attain higher resolution in defining the ROIs 36,37 , or with light-sheet illumination to observe thick biological specimens such as organoids, brain tissues, and whole organisms [36][37][38] . Alternatively, targeted photostimulation combined with optogenetic actuators will allow precise control of neural activities while recording the circuit-scale neural dynamics 12,[38][39][40][41][42][43] . Moreover, the DeMOSAIC system is also compatible with various detectors for versatile applications.…”

Section: Discussionmentioning

confidence: 99%

Optical segmentation-based compressed readout of neuronal voltage dynamics

Kim,

Ko,

Kang

et al. 2023

Preprint

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Functional imaging of biological dynamics generally begins with acquiring time-series images, followed by quantifying spatially averaged intensity traces for the regions of interest (ROIs). The conventional pipeline discards a substantial portion of the acquired data when quantifying intensity traces, indicative of inefficient data acquisition. Here we propose a conceptually novel acquisition pipeline that assigns each ROI to a single pixel in the detector, enabling optimally compressed acquisition of the intensity traces. As a proof-of-principle, we implemented a detection module composed of a pair of spatial light modulators and a microlens array, which segments the original image into multiple subimages by introducing distinct angular shifts to each ROI. Each subimage exclusively encodes the signal for the corresponding ROI, facilitating the compressed readout of its intensity trace using a single pixel. This spatial compression allowed for maximizing the temporal information without compromising the spatial information on ROIs. Harnessing our novel approach, we demonstrate the recording of circuit-scale neuronal voltage dynamics at over 5 kHz sampling rate, revealing the individual action potential waveforms within subcellular structures, as well as their submillisecond-scale temporal delays.

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“…In contrast, GCaMP offers significant advantages, including precision in delivery and targeted expression, achieving spatial resolution down to individual dendritic spines. , This precision is crucial in detailed neural activity observation . Genetic manipulation techniques, like viral vector and transgenic approaches, , enable selective GCaMP expression in specific cell types or compartments, facilitating customization and sustained imaging over months. This specificity allows for the detailed monitoring and decoding of distinct neural networks and individual neuron activities .…”

Section: How Does Gcamp Outperform Conventional Calcium Indicators?mentioning

confidence: 99%

Injectable Fluorescent Neural Interfaces for Cell-Specific Stimulating and Imaging

Xu,

Xiao,

Manshaii

et al. 2024

Nano Lett.

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Building on current explorations in chronic optical neural interfaces, it is essential to address the risk of photothermal damage in traditional optogenetics. By focusing on calcium fluorescence for imaging rather than stimulation, injectable fluorescent neural interfaces significantly minimize photothermal damage and improve the accuracy of neuronal imaging. Key advancements including the use of injectable microelectronics for targeted electrical stimulation and their integration with cellspecific genetically encoded calcium indicators have been discussed. These injectable electronics that allow for posttreatment retrieval offer a minimally invasive solution, enhancing both usability and reliability. Furthermore, the integration of genetically encoded fluorescent calcium indicators with injectable bioelectronics enables precise neuronal recording and imaging of individual neurons. This shift not only minimizes risks such as photothermal conversion but also boosts safety, specificity, and effectiveness of neural imaging. Embracing these advancements represents a significant leap forward in biomedical engineering and neuroscience, paving the way for advanced brain−machine interfaces.

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All-optical recreation of naturalistic neural activity with a multifunctional transgenic reporter mouse

Cited by 5 publications

References 89 publications

The logic of recurrent circuits in the primary visual cortex

The logic of recurrent circuits in the primary visual cortex

Optical segmentation-based compressed readout of neuronal voltage dynamics

Injectable Fluorescent Neural Interfaces for Cell-Specific Stimulating and Imaging

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