Back

Imaging the voltage of neurons distributed across entire brains of larval zebrafish

Wang, Z.; Zhang, J.; Symvoulidis, P.; Guo, W.; Zhang, L.; Wilson, M. A.; Boyden, E. S.

2023-12-16 neuroscience
10.1101/2023.12.15.571964 bioRxiv
Show abstract

Neurons interact in networks distributed throughout the brain. Although much effort has focused on whole-brain calcium imaging, recent advances in genetically encoded voltage indicators (GEVIs) raise the possibility of imaging voltage of neurons distributed across brains. To achieve this, a microscope must image at high volumetric rate and signal-to-noise ratio. We present a remote scanning light-sheet microscope capable of imaging GEVI-expressing neurons distributed throughout entire brains of larval zebrafish at a volumetric rate of 200.8 Hz. We measured voltage of [~]1/3 of the neurons of the brain, distributed throughout. We observed that neurons firing at different times during a sequence were located at different brain locations, for sequences elicited by a visual stimulus, which mapped onto locations throughout the optic tectum, as well as during stimulus-independent bursts, which mapped onto locations in the cerebellum and medulla. Whole-brain voltage imaging may open up frontiers in the fundamental operation of neural systems.

Published in Nature Methods (predicted rank #1) · training set

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

Nature Methods · published here
○ 385 papers in training set
Top 0.6%
15.0%
Similar papers in this journal
2
Nature Communications
○ 5641 papers in training set
Top 13%
13.0%
Similar papers in this journal
3
Optica
● 27 papers in training set
Top 0.1%
11.8%
Similar papers in this journal
4
Communications Biology
○ 993 papers in training set
Top 0.5%
7.8%
Similar papers in this journal
5
Scientific Reports
○ 3612 papers in training set
Top 10%
6.7%
Similar papers in this journal
50% of probability mass above
6
Science Advances
● 1243 papers in training set
Top 4%
5.4%
7
Neurophotonics
● 42 papers in training set
Top 0.1%
4.3%
8
eLife
● 5828 papers in training set
Top 30%
4.0%
9
Cell Reports Methods
○ 165 papers in training set
Top 0.6%
3.2%
10
Light: Science & Applications
○ 16 papers in training set
Top 0.1%
2.4%
11
iScience
○ 1154 papers in training set
Top 18%
1.7%
12
Optics Express
● 26 papers in training set
Top 0.2%
1.7%
13
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 30%
1.5%
14
Journal of Neuroscience Methods
○ 122 papers in training set
Top 1%
1.1%
15
PLOS Biology
● 486 papers in training set
Top 7%
1.1%
16
Biomedical Optics Express
● 95 papers in training set
Top 0.8%
1.1%
17
Nature Biotechnology
○ 172 papers in training set
Top 4%
1.0%
18
Cell Reports
○ 1498 papers in training set
Top 25%
1.0%
19
Small Methods
○ 29 papers in training set
Top 0.6%
1.0%
20
eneuro
● 439 papers in training set
Top 8%
0.8%
21
Advanced Intelligent Systems
○ 11 papers in training set
Top 0.3%
0.8%
22
Analytical Chemistry
● 218 papers in training set
Top 3%
0.6%
23
Lab on a Chip
● 96 papers in training set
Top 1%
0.6%
24
npj Imaging
○ 12 papers in training set
Top 0.3%
0.6%
25
Frontiers in Neural Circuits
○ 43 papers in training set
Top 0.9%
0.6%
26
Nature Biomedical Engineering
○ 47 papers in training set
Top 2%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.