{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Optotagging Analysis\n",
"\n",
"## Tutorial overview\n",
"\n",
"This Jupyter notebook will demonstrate how to analyze responses to optotagging stimuli in Neuropixels Brain Observatory datasets. Optotagging makes it possible to link _in vivo_ spike trains to genetically defined cell classes. By expressing a light-gated ion channel (in this case, ChR2) in a Cre-dependent manner, we can activate Cre+ neurons with light pulses delivered to the cortical surface. Units that fire action potentials in response to these light pulses are likely to express the gene of interest.\n",
"\n",
"Of course, there are some shortcomings to this approach, most notably that the presence of light artifacts can create the appearance of false positives, and that false negatives (cells that are Cre+ but do not respond to light) are nearly impossible to avoid. We will explain how to deal with these caveats in order to incorporate the available cell type information into your analyses.\n",
"\n",
"This tutorial will cover the following topics:\n",
"\n",
"* Finding datasets of interest\n",
"* Types of optotagging stimuli\n",
"* Aligning spikes to light pulses\n",
"* Identifying Cre+ units\n",
"* Differences across genotypes\n",
"\n",
"This tutorial assumes you've already created a data cache, or are working with NWB files on AWS. If you haven't reached that step yet, we recommend going through the [data access tutorial](./ecephys_data_access.ipynb) first.\n",
"\n",
"Functions related to analyzing responses to visual stimuli will be covered in other tutorials. For a full list of available tutorials, see the [SDK documentation](https://allensdk.readthedocs.io/en/latest/visual_coding_neuropixels.html)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"First, let's deal with the necessary imports:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"from allensdk.brain_observatory.ecephys.ecephys_project_cache import EcephysProjectCache"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we'll create an `EcephysProjectCache` object that points to a new or existing manifest file.\n",
"\n",
"If you're not sure what a manifest file is or where to put it, please check out [this tutorial](./ecephys_data_access.ipynb) before going further."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Example cache directory path, it determines where downloaded data will be stored\n",
"data_directory = '/local1/ecephys_cache_dir/'\n",
"\n",
"manifest_path = os.path.join(data_directory, \"manifest.json\")\n",
"\n",
"cache = EcephysProjectCache.from_warehouse(manifest=manifest_path)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Finding datasets of interest"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `sessions` table contains information about all the experiments available in the `EcephysProjectCache`. The `full_genotype` column contains information about the genotype of the mouse used in each experiment."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"wt/wt 30\n",
"Sst-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 12\n",
"Pvalb-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 8\n",
"Vip-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt 8\n",
"Name: full_genotype, dtype: int64"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sessions = cache.get_session_table()\n",
"\n",
"sessions.full_genotype.value_counts()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"About half the mice are wild type (`wt/wt`), while the other half are a cross between a Cre line and the Ai32 reporter line. The Cre mice express ChR2 in one of three interneuron subtypes: Parvalbumin-positive neurons (`Pvalb`), Somatostatin-positive neurons (`Sst`), and Vasoactive Intestinal Polypeptide neurons (`Vip`). We know that these genes are expressed in largely non-overlapping populations of inhibitory cells, and that, taken together, they [cover nearly the entire range of cortical GABAergic neurons](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556905/#!po=8.92857), with the caveat that VIP+ cells are a subset of a larger group of 5HT3aR-expressing cells.\n",
"\n",
"To find experiments performed on a specific genotype, we can filter the sessions table on the `full_genotype` column:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
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" published_at specimen_id session_type \\\n",
"id \n",
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"746083955 2019-10-03T00:00:00Z 726170935 brain_observatory_1.1 \n",
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"839557629 2019-10-03T00:00:00Z 821469666 functional_connectivity \n",
"840012044 2019-10-03T00:00:00Z 820866121 functional_connectivity \n",
"\n",
" age_in_days sex full_genotype \\\n",
"id \n",
"721123822 125.0 M Pvalb-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt \n",
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"840012044 116.0 M Pvalb-IRES-Cre/wt;Ai32(RCL-ChR2(H134R)_EYFP)/wt \n",
"\n",
" unit_count channel_count probe_count \\\n",
"id \n",
"721123822 444 2229 6 \n",
"746083955 582 2216 6 \n",
"760345702 501 1862 5 \n",
"773418906 546 2232 6 \n",
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"839557629 450 1853 5 \n",
"840012044 758 2298 6 \n",
"\n",
" ecephys_structure_acronyms \n",
"id \n",
"721123822 [MB, SCig, PPT, NOT, DG, CA1, VISam, nan, LP, ... \n",
"746083955 [VPM, TH, LGd, CA3, CA2, CA1, VISal, nan, grey... \n",
"760345702 [MB, TH, PP, PIL, DG, CA3, CA1, VISal, nan, gr... \n",
"773418906 [PPT, NOT, SUB, ProS, CA1, VISam, nan, APN, DG... \n",
"797828357 [PPT, MB, APN, NOT, HPF, ProS, CA1, VISam, nan... \n",
"829720705 [SCig, SCop, SCsg, SCzo, POST, VISp, nan, CA1,... \n",
"839557629 [APN, NOT, MB, DG, CA1, VISam, nan, VISpm, LGd... \n",
"840012044 [APN, DG, CA1, VISam, nan, LP, VISpm, VISp, LG... "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pvalb_sessions = sessions[sessions.full_genotype.str.match('Pvalb')]\n",
"\n",
"pvalb_sessions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The table above contains 8 sessions, 5 of which used the `brain_observatory_1.1` visual stimulus, and 3 of which used the `functional_connectivity` stimulus. Any experiments with the same stimulus set are identical across genotypes. Importantly, the optotagging stimulus does not occur until the end of the experiment, so any changes induced by activating a specific set of interneurons will not affect the visual responses that we measure."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Types of optotagging stimuli"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's load one of the above sessions to see how to extract information about the optotagging stimuli that were delivered."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"session = cache.get_session_data(pvalb_sessions.index.values[-3])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The optotagging stimulus table is stored separately from the visual stimulus table. So instead of calling `session.stimulus_presentations`, we will use `session.optogenetic_stimulation_epochs` to load a DataFrame that contains the information about the optotagging stimuli:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
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" start_time condition level stop_time \\\n",
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},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"session.optogenetic_stimulation_epochs"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This returns a table with information about each optotagging trial. To find the unique conditions across all trials, we can use the following Pandas syntax:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
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"
1.3
\n",
"
pulse
\n",
"
0.010
\n",
"
\n",
"
\n",
"
1
\n",
"
a single square pulse
\n",
"
1.7
\n",
"
pulse
\n",
"
0.010
\n",
"
\n",
"
\n",
"
8
\n",
"
a single square pulse
\n",
"
2.0
\n",
"
pulse
\n",
"
0.010
\n",
"
\n",
"
\n",
"
5
\n",
"
half-period of a cosine wave
\n",
"
1.3
\n",
"
raised_cosine
\n",
"
1.000
\n",
"
\n",
"
\n",
"
14
\n",
"
half-period of a cosine wave
\n",
"
1.7
\n",
"
raised_cosine
\n",
"
1.000
\n",
"
\n",
"
\n",
"
6
\n",
"
half-period of a cosine wave
\n",
"
2.0
\n",
"
raised_cosine
\n",
"
1.000
\n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" condition level stimulus_name duration\n",
"id \n",
"3 2.5 ms pulses at 10 Hz 1.3 fast_pulses 1.000\n",
"2 2.5 ms pulses at 10 Hz 1.7 fast_pulses 1.000\n",
"4 2.5 ms pulses at 10 Hz 2.0 fast_pulses 1.000\n",
"17 a single square pulse 1.3 pulse 0.005\n",
"7 a single square pulse 1.7 pulse 0.005\n",
"0 a single square pulse 2.0 pulse 0.005\n",
"13 a single square pulse 1.3 pulse 0.010\n",
"1 a single square pulse 1.7 pulse 0.010\n",
"8 a single square pulse 2.0 pulse 0.010\n",
"5 half-period of a cosine wave 1.3 raised_cosine 1.000\n",
"14 half-period of a cosine wave 1.7 raised_cosine 1.000\n",
"6 half-period of a cosine wave 2.0 raised_cosine 1.000"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"columns = ['stimulus_name', 'duration','level']\n",
"\n",
"session.optogenetic_stimulation_epochs.drop_duplicates(columns).sort_values(by=columns).drop(columns=['start_time','stop_time'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The optotagging portion of the experiment includes four categories of blue light stimuli: 2.5 ms pulses delivered at 10 Hz for one second, a single 5 ms pulse, a single 10 ms pulse, and a raised cosine pulse lasting 1 second. All of these stimuli are delivered through a 400 micron-diameter fiber optic cable positioned to illuminate the surface of visual cortex. Each stimulus is delivered at one of three power levels, defined by the peak voltage of the control signal delivered to the light source, not the actual light power at the tip of the fiber.\n",
"\n",
"Unfortunately, light power has not been perfectly matched across experiments. A little more than halfway through the data collection process, we switched from delivering light through an LED (maximum power at fiber tip = 4 mW) to a laser (maximum power at fiber tip = 35 mW), in order to evoke more robust optotagging responses. To check whether or not a particular experiment used a laser, you can use the following filter:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([False, False, False, False, False, False, False, False, False,\n",
" False, False, False, False, False, False, False, False, False,\n",
" False, False, False, False, False, False, False, False, False,\n",
" False, False, False, False, False, False, False, False, False,\n",
" False, False, False, False, True, True, True, True, True,\n",
" True, True, True, True, True, True, True, True, True,\n",
" True, True, True, True])"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sessions.index.values >= 789848216"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We realize that this makes it more difficult to compare results across experiments, but we decided it was better to improve the optotagging yield for later sessions than continue to use light levels that were not reliably driving spiking responses."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Aligning spikes to light pulses"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Aligning spikes to light pulses is a bit more involved than aligning spikes to visual stimuli. This is because we haven't yet created convenience functions for performing this alignment automatically, such as `session.presentationwise_spike_times` or `sesssion.presentationwise_spike_counts`. We are planning to incorporate such functions into the AllenSDK in the future, but for now, you'll have to write your own code for extracting spikes around light pulses (or copy the code below).\n",
"\n",
"Let's choose a stimulus condition (10 ms pulses) and a set of units (visual cortex only), then create a DataArray containing binned spikes aligned to the start of each stimulus."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"trials = session.optogenetic_stimulation_epochs[(session.optogenetic_stimulation_epochs.duration > 0.009) & \\\n",
" (session.optogenetic_stimulation_epochs.duration < 0.02)]\n",
"\n",
"units = session.units[session.units.ecephys_structure_acronym.str.match('VIS')]\n",
"\n",
"time_resolution = 0.0005 # 0.5 ms bins\n",
"\n",
"bin_edges = np.arange(-0.01, 0.025, time_resolution)\n",
"\n",
"def optotagging_spike_counts(bin_edges, trials, units):\n",
" \n",
" time_resolution = np.mean(np.diff(bin_edges))\n",
"\n",
" spike_matrix = np.zeros( (len(trials), len(bin_edges), len(units)) )\n",
"\n",
" for unit_idx, unit_id in enumerate(units.index.values):\n",
"\n",
" spike_times = session.spike_times[unit_id]\n",
"\n",
" for trial_idx, trial_start in enumerate(trials.start_time.values):\n",
"\n",
" in_range = (spike_times > (trial_start + bin_edges[0])) * \\\n",
" (spike_times < (trial_start + bin_edges[-1]))\n",
"\n",
" binned_times = ((spike_times[in_range] - (trial_start + bin_edges[0])) / time_resolution).astype('int')\n",
" spike_matrix[trial_idx, binned_times, unit_idx] = 1\n",
"\n",
" return xr.DataArray(\n",
" name='spike_counts',\n",
" data=spike_matrix,\n",
" coords={\n",
" 'trial_id': trials.index.values,\n",
" 'time_relative_to_stimulus_onset': bin_edges,\n",
" 'unit_id': units.index.values\n",
" },\n",
" dims=['trial_id', 'time_relative_to_stimulus_onset', 'unit_id']\n",
" )\n",
"\n",
"da = optotagging_spike_counts(bin_edges, trials, units)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can use this DataArray to plot the average firing rate for each unit as a function of time:"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
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