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Three-dimensional voltage imaging in live larval zebrafish brains using fully genetically encoded voltage indicator.

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Voltage imaging has emerged as a powerful tool for recording membrane potential changes in living cells, offering a direct measurement of rapid neuronal events with high temporal precision. Since the brain is a three-dimensional circuit, it is essential to record signals across a volume. However, achieving effective three-dimensional voltage imaging over large neuronal populations remains challenging due to the need for high imaging speed, high signal-to-noise ratio, and extensive volume coverage. In this study, we demonstrate in vivo three-dimensional voltage imaging in larval zebrafish using oblique plane microscopy and QFDBD-QUAS-driven expression of the genetically encoded voltage indicator Ace-mNeon2-Kv2.1, achieving volumetric imaging rates of up to 200 volumes per second (VPS). This approach enables dye-free voltage imaging, simplifying experimental workflows and improving the reproducibility of in vivo voltage imaging experiments for investigating neuronal circuit dynamics in the living zebrafish animal model.

Red-shifted GRAB acetylcholine sensors for multiplex imaging in vivo.

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The neurotransmitter acetylcholine (ACh) is essential in both the central and peripheral nervous systems. Recent studies highlight the significance of interactions between ACh and various neuromodulators in regulating complex behaviors. The ability to simultaneously image ACh and other neuromodulators can provide valuable information regarding the mechanisms underlying these behaviors. Here we developed a series of red fluorescent G-protein-coupled receptor activation-based ACh sensors, with a wide detection range and expanded spectral profile. The high-affinity sensor rACh1h reliably detects ACh release in various brain regions, including the nucleus accumbens, amygdala, hippocampus and cortex. Moreover, rACh1h can be coexpressed with green fluorescent sensors to record ACh release together with other neurochemicals in various behavioral contexts using fiber photometry, mesoscopic imaging and two-photon imaging with high spatiotemporal resolution.

Optical voltage imaging: ready to spark systems neuroscience.

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Many open questions about neural circuit and systems function could be answered if spikes and synaptic potentials could be accurately measured from many neurons simultaneously in a given network with cell-type specificity, cellular resolution, and at the millisecond time scale. Voltage imaging with genetically encoded voltage indicators (GEVIs) has advanced to the point that this is now possible for small networks or sparsely labeled neurons, and emerging optical methods promise to soon enable imaging from larger, dense cell populations. This review describes recent discoveries made using GEVIs to understand local and propagating cortical activity, network oscillations, and cortical and hippocampal microcircuit dynamics, and outlines several promising future applications in systems neuroscience.
Latest Updated Curations

Basal Ganglia Advances

 
 
Basal Ganglia Advances is a collection highlighting research on the structure, function, and disorders of the basal ganglia. It features studies spanning neuroscience, clinical insights, and computational models, serving as a hub for advances in movement, cognition, and behavior.

Progress in Voltage Imaging

 
 
Recent advances in the field of Voltage Imaging, with a special focus on new constructs and novel implementations.

Navigation & Localization

 
 
Work related to place tuning, spatial navigation, orientation and direction. Mainly includes articles on connectivity in the hippocampus, retrosplenial cortex, and related areas.
Most Popular Recent Articles

Neuropixels Opto: combining high-resolution electrophysiology and optogenetics.

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High-resolution extracellular electrophysiology is the gold standard for recording spikes from distributed neural populations and is especially powerful when combined with optogenetics for manipulation of specific cell types with high temporal resolution. We integrated these approaches into prototype Neuropixels Opto probes, which combine electronic and photonic circuits. These devices pack 960 electrical recording sites and two sets of 14 light emitters onto a 70-μm-wide, 1-cm-long shank, allowing spatially addressable optogenetic stimulation with blue and red light. In mouse cortex, Neuropixels Opto probes delivered high-quality recordings together with spatially addressable optogenetics, differentially activating or silencing neurons at distinct cortical depths. In the mouse striatum and other deep structures, Neuropixels Opto probes delivered efficient optotagging, facilitating the identification of two cell types in parallel. Neuropixels Opto probes represent a promising tool for recording, identifying and manipulating neuronal populations.

Thalamus orchestrates local acetylcholine-dependent dopamine release in the learning striatum.

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Dopamine is essential for striatal function and learning. Striatal dopamine release can be triggered by dopamine cell firing, but also by coordinated cholinergic interneuron activity, which stimulates dopamine release via presynaptic nicotinic acetylcholine receptors on dopamine axons. While acetylcholine-dependent dopamine release is well-documented ex vivo and under artificial optogenetic stimulation in vivo, its role during natural behavior has remained unclear. One possible endogenous driver of acetylcholine-dependent dopamine release is thalamic input, which provides strong excitatory drive to cholinergic interneurons. To examine whether thalamic input provokes acetylcholine-dependent dopamine release during behavior, we performed simultaneous fiber photometry recordings of striatal dopamine (GRAB-rDA3m) and thalamic axon activity (gCaMP8m) in the dorsomedial (DMS) and dorsolateral striatum (DLS) of mice learning the accelerating rotarod, a striatal-dependent task that demands precise and effortful motor control. Recordings were obtained on- and off-task and across days of training to capture the full arc of learning. Dopamine transients in DMS, but not DLS, were frequently coupled to peaks in thalamic axon activity via an acetylcholine-dependent mechanism. The occurrence of these thalamic-evoked DMS dopamine transients depended on learning, task engagement, and the recent history of dopamine activity, but did not contribute to motor error signals. Together, these findings establish thalamic input as a physiological driver of acetylcholine-dependent dopamine release in DMS. Moreover, they reveal that striatal sensitivity to this local release mechanism is dynamically gated by dopaminergic history, providing a compelling framework for understanding how local and soma-triggered dopamine signals are coordinated to support learning.

Ratiometric Fluorescence Biosensor of Allosteric Ag Nanoclusters by G-Quadruplex-Aided Displacement Amplification.

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Conventional displacement reactions often suffer from drawbacks such as high background signal and low reaction rates. To overcome this limitation, we propose a G-quadruplex (G4) folding-aided displacement amplification (G4DA) strategy to illuminate the ratiometric fluorescence of allosteric Ag nanoclusters as bicolor signaling reporters (Ag and Ag) for the rapid and sensitive detection of a specific targeting trigger (T). The recognizable element is totally blocked in the stem of a modular hairpin for minimizing nonspecific background responses, while it can be exclusively unlocked by a short-stranded key effector via disturbing the sticky toehold. Preferably, red Ag emitters are developed only in two proximal template splits through directional complementary hybridization. Upon the effector invasion and affinity binding, the strand-exchange events are executed to drive progressive G4DA operation, which is kinetically sped up by the rapid intramolecular folding of rigid G4 structures with more stable geometry, thereby displacing T for repetitive recycling amplification. During this process, the disassembly of a duplex complex switches red Ag into green Ag to produce reversely changed fluorescence for conformation-dependent ratiometric signaling. Without enzyme participation and tedious chemical modification, this G4DA-based approach is achievable with simplified operation, reaction dynamics, productive yield, and assay sensitivity, further suggesting a new methodological paradigm for potential biosensor, bioanalysis, and therapeutic applications.
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