Pisano et al. utilize tapered fibers to achieve depth-resolved fiber photometry.
Meng et al. design a spectrometer-based photometry system that allows for recording in multiple colors.
Cui et al. record in the striatum of freely-moving animals using their newly developed in vivo photometry method.
Neurophotometrics got in touch with its roots recently when the Oberlin Neuroscience Newsletter featured our President Dr. Sage Aronson. Sage graduated from Oberlin in 2012, and loves to stay in touch with fellow Obies!
The data presented here were collected and analyzed by Kauê M. Costa, a postdoctoral fellow from Geoffrey Schoenbaum’s laboratory at the National Institute on Drug Abuse.
These dopamine transients (dLight1.2) were recorded in the ventromedial striatum (nucleus accumbens core) during a classical conditioning paradigm. The gray rectangle at time point 0 indicates the conditioned stimulus (CS; a cue), whereas the green rectangle at time point 10s indicates the unconditioned stimulus (US; a sucrose reward).
A reward prediction error signal (RPE) can be seen at both time points. As the sessions progress, you can see how this RPE signal transfers from the US to the CS as the subject begins to associate reward with cue. Each session trace represents an average of only six trials from a single animal — no need to average many trials from several animals to observe meaningful effects. Though we should note, these data were recorded while simultaneously recording from two rats, so it would be possible to have a side-by-side comparison of two individual subjects in this case!
The signal from this subject is so stable that you can follow the shift in RPE from US to CS in the heat map to the left. The signal at time point 0 (CS response) becomes considerably stronger as trials progress down the Y-axis. Concurrently, the strong signal observed at time point 10s (US response) gradually diminishes.
“With this kind of single trial resolution I can now figure out how individual neural and behavioral learning curves relate to each other.” said Kauê. “[I can] see what can disrupt one but maybe not the other, fit them to specific models… all kinds of cool stuff. I think it would be nice for people to know what can be done.”
Data presented here are published with permission from the lab of Geoffrey Schoenbaum at the National Institute on Drug Abuse. This figure and all of the beautiful data that went into it were produced by Kauê Machado Costa. This highlight was written by Caroline E. Sferrazza.
Congratulations to our friends in Fritjof Helmchen’s lab at the University of Zurich! They have published an excellent study in Nature this summer on the use of high-density multi-fiber arrays in freely-moving animals.
Neurophotometrics CEO Dr. Sage Aronson gives a talk on fiber photometry at Tabor Academy on February 11, 2019.
This data highlight features experiments from Kamran Khodakhah’s laboratory at the Albert Einstein College of Medicine.
A) Scheme of the experimental configuration. Channelrhodopsin was injected in the ventral tegmental area (VTA) and the fluorescent dopamine sensor dLight1.1 was injected in the left nucleus accumbens (NAc) and right medial prefrontal cortex (mPFC). Fibers were implanted in the right VTA, left NAc, and right mPFC.
B) Raw data of fiber photometry recordings (Neurophotometrics, Constant mode, 40 Hz) of dLight1.1 fluorescence, collected simultaneously in NAc and mPFC while optically stimulating the VTA with 440 nm light at different power intensities (trains of 14 pulses, 1 ms length, at 20 Hz).
C) Average dLight1.1 signal in the NAc evoked with optical stimulation in the contralateral VTA at four light power levels (10 sweeps each, average +/- SE) extracted from the signal in B.
D) Average dLight1.1 signal in the mPFC evoked with optical stimulation in the ipsilateral VTA at four light power levels (10 sweeps each, average +/- SE) extracted from the signal in B.
The analysis was performed with Igor Pro 7. The dopamine sensor (AAV9.CAG.dLight1.1) was kindly provided by Dr. Lin Tian (UC Davis).
Data presented here are published with permission from the lab of Kamran Khodakhah at the Albert Einstein College of Medicine. This figure was produced by Jorge Vera and Maritza Oñate. If you have any questions or comments about the data shown here, you may contact email@example.com.