ArticleNature neuroscience2025
High-throughput synaptic connectivity mapping using in vivo two-photon holographic optogenetics and compressive sensing.
Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- The Importance of Synchrony in the Neural Control of Movement.bioRxiv : the preprint server for biology · 2026Article
- STIMscope: centimeter-scale all-optical imaging and patterned optogenetic manipulation at single-cell resolution.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell Perturbations Reveal Selective Modulation of Causal Connectivity During Decision-Making.bioRxiv : the preprint server for biology · 2026Article
- Photomapping electrically coupled networks of the mature thalamus and cortex.bioRxiv : the preprint server for biology · 2026Article
- Multitarget neurostimulation of the deep brain: clinical opportunities, challenges, and emerging technologies.Journal of neural engineering · 2025Review
- Multiphoton Neurophotonics: Recent Advances in Imaging and Manipulating Neuronal Circuits.ACS photonics · 2025Review
- Metaplasticity and continual learning: mechanisms subserving brain computer interface proficiency.Journal of neural engineering · 2025Article
- Multicolor two-photon light-patterning microscope exploiting the spatio-temporal properties of a fiber bundle.Biomedical optics express · 2024Article
- Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles.Patterns (New York, N.Y.) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Characterizing synaptic connectivity in living neural circuits is key to understanding the interplay between network structure and function during behavior. However, the throughput of current in vivo synaptic mapping methods remains very limited. Here, we present a framework for increasing mapping throughput and speed that combines two-photon holographic optogenetic stimulation of presynaptic neurons, whole-cell recordings of postsynaptic responses and compressive sensing reconstruction of sparse connectivity. Under sequential single-cell stimulation, the method enables rapid probing of connectivity across up to 100 potential presynaptic cells within ~5 min in the visual cortex of anesthetized mice, identifying synaptic pairs along with their strength and spatial distribution. Furthermore, in sparsely connected populations, holographic multi-cell stimulation combined with a compressive sensing approach further improved sampling efficiency and recovered most connections found using the sequential approach, with up to a threefold reduction in the number of required measurements. Overall, these results highlight the potential for higher throughput in vivo circuit analysis and deeper insights into brain structure-function relationships.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.