4.2 Article

All-optical inter-layers functional connectivity investigation in the mouse retina

Journal

CELL REPORTS METHODS
Volume 2, Issue 8, Pages -

Publisher

CELL PRESS
DOI: 10.1016/j.crmeth.2022.100268

Keywords

-

Funding

  1. IHU FOReSIGHT [P-ALLOP3-IHU-000]
  2. Fondation Bettencourt Schueller (Prix Coups d'elan pour la recherche francaise)
  3. National Institutes of Health (NIH) [1UF1NS107574 - 01]
  4. Retina France
  5. AVIESAN-UNADEV
  6. ANR [ANR-18-CE37-0011, ANR-20-CE37-0018-04, ANR-21-CE37-0024]
  7. Sorbonne Universite (emergence program CrInfoNet)
  8. AVIESAN-UNADEV (AIDE)
  9. Axa
  10. Fondation pour la Recherche Medicale
  11. Agence Nationale de la Recherche (ANR) [ANR-18-CE37-0011, ANR-21-CE37-0024, ANR-20-CE37-0018] Funding Source: Agence Nationale de la Recherche (ANR)

Ask authors/readers for more resources

We developed a multi-unit microscope for all-optical inter-layers circuits interrogation, which enables simultaneous functional imaging and optogenetics, and provides precise detection of information transfer in multi-layered circuits.
We developed a multi-unit microscope for all-optical inter-layers circuits interrogation. The system performs two-photon (2P) functional imaging and 2P multiplexed holographic optogenetics at axially distinct planes. We demonstrated the capability of the system to map, in the mouse retina, the functional connectivity between rod bipolar cells (RBCs) and ganglion cells (GCs) by activating single or defined groups of RBCs while recording the evoked response in the GC layer with cell-type specificity and single-cell resolution. We then used a logistic model to probe the functional connectivity between cell types by deriving the ``cellular receptive field'' describing how RBCs impact each GC type. With the capability to simultaneously image and control neuronal activity at axially distinct planes, the system enables a precise interrogation of multi-layered circuits. Understanding this information transfer is a promising avenue to dissect complex neural circuits and understand the neural basis of computations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available