@article {70284, title = {Astrocyte-induced internal state transitions reshape brainwide sensory, integrative, and motor computations}, journal = {bioRxiv}, year = {2026}, month = {2026 Feb 05}, abstract = {

Animals rapidly adapt to changing circumstances by shifting how they perceive, integrate, and act. Such flexibility is often attributed to transitions between internal states that exert widespread influence across the brain. Yet the mechanisms that drive state transitions and how they reconfigure brainwide computation remain unclear. Larval zebrafish, when actions are rendered futile by decoupling visual flow feedback from swimming in virtual reality, enter a temporary passive, energy-preserving state. In this state, astrocyte calcium levels are elevated, and swim reinitiation requires greater accumulated visual motion. Using whole-brain, cellular-resolution activity imaging, we observed widespread circuit alterations underlying this disengaged state: neuronal visual responses weakened, visual motion integration over time became dramatically leakier, motor inhibition increased, and motor preparation slowed, together suppressing conversion of sensory evidence into action. Astrocyte calcium rose during futile swimming, tracked the emergence and resolution of these brainwide changes, and was both necessary and sufficient to drive them. Thus, astrocytes orchestrate internal states that profoundly reshape neural computations, most powerfully at intermediate integrative processing stages, to meet changing demands.

}, doi = {10.64898/2026.02.05.704034}, url = {https://www.biorxiv.org/content/early/2026/02/05/2026.02.05.704034}, author = {Lim, Jing-Xuan and Wei, Ziqiang and Narayan, Sujatha and Zhang, Yan and Hasseman, Jeremy P. and Kolb, Ilya and Zheng, Jihong and Sheikhattar, Alireza and Mi, Xuelong and Zheng, Wei and Yang, Xueying and Beriashvili, Mariam and Fleishman, Greg and Wee, Caroline L. and de Zeeuw, Chris and Yu, Guoqiang and Babadi, Behtash and Rubinov, Mikail and Looger, Loren L. and Bergles, Dwight E. and Fitzgerald, James E. and Ahrens, Misha B.} } @article {70093, title = {iGABASnFR2: Improved genetically encoded protein sensors of GABA}, journal = {eLife}, year = {2026}, month = {2026 Feb 25}, abstract = {

Monitoring GABAergic inhibition in the nervous system has been enabled by development of an intensiometric molecular sensor that directly detects GABA. However, the first generation iGABASnFR exhibits low signal-to-noise and suboptimal kinetics, making in vivo experiments challenging. To improve sensor performance, we targeted several sites in the protein for near-saturation mutagenesis and evaluated the resulting sensor variants in a high throughput screening system using evoked synaptic release in primary cultured neurons. This identified a sensor variant, iGABASnFR2, with 4.2-fold improved sensitivity and 20\% faster kinetics, and binding affinity that remained in a range sensitive to changes in GABA concentration at synapses. We also identified sensors with an inverted response, decreasing fluorescence intensity upon GABA binding. We termed the best such negative-going sensor iGABASnFR2n, which can be used to corroborate observations with the positive-going sensor. These improvements yielded a qualitative enhancement of in vivo performance when compared directly to the original sensor. iGABASnFR2 enabled the first measurements of direction-selective GABA release in the retina. In vivo imaging in somatosensory cortex revealed that iGABASnFR2 can report volume-transmitted GABA release following whisker stimulation. Overall, the improved sensitivity and kinetics of iGABASnFR2 make it a more effective tool for imaging GABAergic transmission in intact neural circuits.

}, doi = {10.7554/eLife.108319.2}, url = {https://doi.org/10.7554/eLife.108319.2}, author = {Kolb, Ilya and Hasseman, Jeremy P and Matsumoto, Akihiro and Jensen, Thomas P and Kopach, Olga and Arthur, Benjamin J and Zhang, Yan and Tsang, Arthur and Reep, Daniel and Tsegaye, Getahun and Zheng, Jihong and Patel, Ronak H and Looger, Loren L and Marvin, Jonathan S and Korff, Wyatt L and Rusakov, Dmitri A and Yonehara, Keisuke and Turner, Glenn C} } @article {69831, title = {iGABASnFR2: Improved genetically encoded protein sensors of GABA}, journal = {bioRxiv}, year = {2025}, month = {2025 Mar 25}, abstract = {

Monitoring GABAergic inhibition in the nervous system has been enabled by development of an intensiometric molecular sensor that directly detects GABA. However the first generation iGABASnFR exhibits low signal-to-noise and suboptimal kinetics, making in vivo experiments challenging. To improve sensor performance, we targeted several sites in the protein for near-saturation mutagenesis, and evaluated the resulting sensor variants in a high throughput screening system using evoked synaptic release in primary cultured neurons. This identified a sensor variant, iGABASnFR2, with 4.2-fold improved sensitivity and 20\% faster kinetics, and binding affinity that remained in a range sensitive to changes in GABA concentration at synapses. We also identified sensors with an inverted response, decreasing fluorescence intensity upon GABA binding. We termed the best such negative-going sensor iGABASnFR2n, which can be used to corroborate observations with the positive-going sensor. These improvements yielded a qualitative enhancement of in vivo performance, enabling us to make the first measurements of direction selective GABA release in the retina and confirm a longstanding hypothesis for how sensitivity to motion arises in the visual system.

}, doi = {10.1101/2025.03.25.644953}, url = {https://www.biorxiv.org/content/early/2025/03/26/2025.03.25.644953}, author = {Kolb, Ilya and Hasseman, Jeremy P. and Matsumoto, Akihiro and Arthur, Benjamin J. and Zhang, Yan and Tsang, Arthur and Reep, Daniel and Tsegaye, Getahun and Zheng, Jihong and Patel, Ronak and Looger, Loren L. and Marvin, Jonathan S. and Korff, Wyatt L. and Yonehara, Keisuke and Turner, Glenn C.} } @article {68665, title = {Fast and sensitive GCaMP calcium indicators for imaging neural populations.}, journal = {Nature}, year = {2023}, month = {2023 Mar 15}, abstract = {

Calcium imaging with protein-based indicators is widely used to follow neural activity in intact nervous systems, but current protein sensors report neural activity at timescales much slower than electrical signalling and are limited by trade-offs between sensitivity and kinetics. Here we used large-scale screening and structure-guided mutagenesis to develop and optimize several fast and sensitive GCaMP-type indicators. The resulting {\textquoteright}jGCaMP8{\textquoteright} sensors, based on the calcium-binding protein calmodulin and a fragment of endothelial nitric oxide synthase, have ultra-fast kinetics (half-rise times of 2 ms) and the highest sensitivity for neural activity reported for a protein-based calcium sensor. jGCaMP8 sensors will allow tracking of large populations of neurons on timescales relevant to neural computation.

}, issn = {1476-4687}, doi = {10.1038/s41586-023-05828-9}, author = {Zhang, Yan and Rozsa, Marton and Liang, Yajie and Bushey, Daniel and Wei, Ziqiang and Zheng, Jihong and Reep, Daniel and Broussard, Gerard Joey and Tsang, Arthur and Tsegaye, Getahun and Narayan, Sujatha and Obara, Christopher J and Lim, Jing-Xuan and Patel, Ronak and Zhang, Rongwei and Ahrens, Misha B and Turner, Glenn C and Wang, Samuel S-H and Korff, Wyatt L and Schreiter, Eric R and Svoboda, Karel and Hasseman, Jeremy P and Kolb, Ilya and Looger, Loren L} } @article {68630, title = {Fast and sensitive GCaMP calcium indicators for neuronal imaging.}, journal = {The Journal of Physiology}, year = {2023}, month = {2023 Feb 22}, abstract = {

We review the principles of development and deployment of genetically encoded calcium indicators (GECIs) for the detection of neural activity. Our focus is on the popular GCaMP family of green GECIs, culminating in the recent release of the jGCaMP8 sensors, with dramatically improved kinetics relative to previous generations. We summarize the properties of GECIs in multiple color channels (blue, cyan, green, yellow, red, far-red) and highlight areas for further improvement. With their low-millisecond rise-times, the jGCaMP8 indicators allow new classes of experiments following neural activity in timeframes approaching the underlying computations. Abstract legend: GCaMP calcium sensors are widely used to report neuronal activity via fluorescence readout. This article is protected by copyright. All rights reserved.

}, issn = {1469-7793}, doi = {10.1113/JP283832}, author = {Zhang, Yan and Looger, Loren L} }