{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Fiber Photometry Epoch Averaging Example\n",
"\n",
"This example goes through fiber photometry analysis using techniques such as data smoothing, bleach detrending, and z-score analysis. \n",
"The epoch averaging was done using `epoc_filter`.\n",
"\n",
"Author Contributions: \n",
"TDT, David Root, and the Morales Lab contributed to the writing and/or conceptualization of the code. \n",
"The signal processing pipeline was inspired by the workflow developed by David Barker et al. (2017) for the Morales Lab. \n",
"The data used in the example were provided by David Root.\n",
"\n",
"Author Information: \n",
"David H. Root \n",
"Assistant Professor \n",
"Department of Psychology & Neuroscience \n",
"University of Colorado, Boulder \n",
"Lab Website: https://www.root-lab.org \n",
"david.root@colorado.edu\n",
"\n",
"About the authors: \n",
"The Root lab and Morales lab investigate the neurobiology of reward, aversion, addiction, and depression.\n",
"\n",
"TDT edits all user submissions in coordination with the contributing author(s) prior to publishing.\n",
"\n",
"## Housekeeping\n",
"\n",
"Import the tdt package and other python packages we care about."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# magic for Jupyter\n",
"%matplotlib inline\n",
"\n",
"#import the read_block function from the tdt package\n",
"#also import other python packages we care about\n",
"import numpy as np\n",
"from sklearn.metrics import auc\n",
"import matplotlib.pyplot as plt # standard Python plotting library\n",
"import scipy.stats as stats\n",
"\n",
"import tdt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Importing the Data\n",
"This example uses our [example data sets](https://www.tdt.com/files/examples/TDTExampleData.zip). To import your own data, replace `BLOCK_PATH` with the full path to your own data block.\n",
"\n",
"In Synapse, you can find the block path in the database. Go to Menu --> History. Find your block, then Right-Click --> Copy path to clipboard."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"tags": []
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": "demo data ready\n"
}
],
"source": [
"tdt.download_demo_data()\n",
"BLOCKPATH = 'data/FiPho-180416'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"# Jupyter has a bug that requires import of matplotlib outside of cell with \n",
"# matplotlib inline magic to properly apply rcParams\n",
"import matplotlib \n",
"matplotlib.rcParams['font.size'] = 16 #set font size for all plots"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup the variables for the data you want to extract\n",
"\n",
"We will extract two different stream stores surrounding the 'PtAB' epoch event. We are interested in a specific event code for the shock onset."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"tags": []
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": "read from t=0s to t=583.86s\n"
}
],
"source": [
"\n",
"REF_EPOC = 'PtAB' #event store name. This holds behavioral codes that are \n",
"# read through ports A & B on the front of the RZ\n",
"SHOCK_CODE = [64959] #shock onset event code we are interested in\n",
"\n",
"# make some variables up here to so if they change in new recordings you won't\n",
"# have to change everything downstream\n",
"ISOS = '_4054' # 405nm channel. Formally STREAM_STORE1 in maltab example\n",
"GCaMP = '_4654' # 465nm channel. Formally STREAM_STORE2 in maltab example\n",
"TRANGE = [-10, 20] # window size [start time relative to epoc onset, window duration]\n",
"BASELINE_PER = [-10, -6] # baseline period within our window\n",
"ARTIFACT = float(\"inf\") # optionally set an artifact rejection level\n",
"\n",
"#call read block - new variable 'data' is the full data structure\n",
"data = tdt.read_block(BLOCKPATH)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Use epoc_filter to extract data around our epoc event\n",
"\n",
"Using the 't' parameter extracts data only from the time range around our epoc event. \n",
"Use the 'values' parameter to specify allowed values of the REF_EPOC to extract. \n",
"For stream events, the chunks of data are stored in cell arrays structured as `data.streams[GCaMP].filtered`"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"data = tdt.epoc_filter(data, REF_EPOC, t=TRANGE, values=SHOCK_CODE)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# Optionally remove artifacts. If any waveform is above ARTIFACT level, or\n",
"# below -ARTIFACT level, remove it from the data set.\n",
"total1 = np.size(data.streams[GCaMP].filtered)\n",
"total2 = np.size(data.streams[ISOS].filtered)\n",
"\n",
"# List comprehension checking if any single array in 2D filtered array is > Artifact or < -Artifact\n",
"data.streams[GCaMP].filtered = [x for x in data.streams[GCaMP].filtered \n",
" if not np.any(x > ARTIFACT) or np.any(x < -ARTIFACT)]\n",
"data.streams[ISOS].filtered = [x for x in data.streams[ISOS].filtered \n",
" if not np.any(x > ARTIFACT) or np.any(x < -ARTIFACT)]\n",
"\n",
"# Get the total number of rejected arrays\n",
"bad1 = total1 - np.size(data.streams[GCaMP].filtered)\n",
"bad2 = total2 - np.size(data.streams[ISOS].filtered)\n",
"total_artifacts = bad1 + bad2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Applying a time filter to a uniformly sampled signal means that the length of each segment could vary by one sample. Let's find the minimum length so we can trim the excess off before calculating the mean."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# More examples of list comprehensions\n",
"min1 = np.min([np.size(x) for x in data.streams[GCaMP].filtered])\n",
"min2 = np.min([np.size(x) for x in data.streams[ISOS].filtered])\n",
"data.streams[GCaMP].filtered = [x[1:min1] for x in data.streams[GCaMP].filtered]\n",
"data.streams[ISOS].filtered = [x[1:min2] for x in data.streams[ISOS].filtered]\n",
"\n",
"# Downsample and average 10x via a moving window mean\n",
"N = 10 # Average every 10 samples into 1 value\n",
"F405 = []\n",
"F465 = []\n",
"for lst in data.streams[ISOS].filtered: \n",
" small_lst = []\n",
" for i in range(0, min2, N):\n",
" small_lst.append(np.mean(lst[i:i+N-1])) # This is the moving window mean\n",
" F405.append(small_lst)\n",
"\n",
"for lst in data.streams[GCaMP].filtered: \n",
" small_lst = []\n",
" for i in range(0, min1, N):\n",
" small_lst.append(np.mean(lst[i:i+N-1]))\n",
" F465.append(small_lst)\n",
"\n",
"#Create a mean signal, standard error of signal, and DC offset\n",
"meanF405 = np.mean(F405, axis=0)\n",
"stdF405 = np.std(F405, axis=0)/np.sqrt(len(data.streams[ISOS].filtered))\n",
"dcF405 = np.mean(meanF405)\n",
"meanF465 = np.mean(F465, axis=0)\n",
"stdF465 = np.std(F465, axis=0)/np.sqrt(len(data.streams[GCaMP].filtered))\n",
"dcF465 = np.mean(meanF465)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot epoc averaged response"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"# Create the time vector for each stream store\n",
"ts1 = TRANGE[0] + np.linspace(1, len(meanF465), len(meanF465))/data.streams[GCaMP].fs*N\n",
"ts2 = TRANGE[0] + np.linspace(1, len(meanF405), len(meanF405))/data.streams[ISOS].fs*N\n",
"\n",
"# Subtract DC offset to get signals on top of one another\n",
"meanF405 = meanF405 - dcF405\n",
"meanF465 = meanF465 - dcF465\n",
"\n",
"# Start making a figure with 4 subplots\n",
"# First plot is the 405 and 465 averaged signals\n",
"fig = plt.figure(figsize=(9, 14))\n",
"ax0 = fig.add_subplot(411) # work with axes and not current plot (plt.)\n",
"\n",
"# Plotting the traces\n",
"p1, = ax0.plot(ts1, meanF465, linewidth=2, color='green', label='GCaMP')\n",
"p2, = ax0.plot(ts2, meanF405, linewidth=2, color='blueviolet', label='ISOS')\n",
"\n",
"# Plotting standard error bands\n",
"p3 = ax0.fill_between(ts1, meanF465+stdF465, meanF465-stdF465,\n",
" facecolor='green', alpha=0.2)\n",
"p4 = ax0.fill_between(ts2, meanF405+stdF405, meanF405-stdF405,\n",
" facecolor='blueviolet', alpha=0.2)\n",
"\n",
"# Plotting a line at t = 0\n",
"p5 = ax0.axvline(x=0, linewidth=3, color='slategray', label='Shock Onset')\n",
"\n",
"# Finish up the plot\n",
"ax0.set_xlabel('Seconds')\n",
"ax0.set_ylabel('mV')\n",
"ax0.set_title('Foot Shock Response, %i Trials (%i Artifacts Removed)'\n",
" % (len(data.streams[GCaMP].filtered), total_artifacts))\n",
"ax0.legend(handles=[p1, p2, p5], loc='upper right')\n",
"ax0.set_ylim(min(np.min(meanF465-stdF465), np.min(meanF405-stdF405)),\n",
" max(np.max(meanF465+stdF465), np.max(meanF405+stdF405)))\n",
"ax0.set_xlim(TRANGE[0], TRANGE[1]+TRANGE[0]);\n",
"\n",
"plt.close() # Jupyter cells will output any figure calls made, so if you don't want to see it just yet, close existing axis\n",
" # https://stackoverflow.com/questions/18717877/prevent-plot-from-showing-in-jupyter-notebook\n",
" # Note that this is not good code practice - Jupyter lends it self to these types of bad workarounds "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fitting 405 channel onto 465 channel to detrend signal bleaching\n",
"\n",
"Scale and fit data. Algorithm sourced from Tom Davidson's Github:\n",
"https://github.com/tjd2002/tjd-shared-code/blob/master/matlab/photometry/FP_normalize.m\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"Y_fit_all = []\n",
"Y_dF_all = []\n",
"for x, y in zip(F405, F465):\n",
" x = np.array(x)\n",
" y = np.array(y)\n",
" bls = np.polyfit(x, y, 1)\n",
" fit_line = np.multiply(bls[0], x) + bls[1]\n",
" Y_fit_all.append(fit_line)\n",
" Y_dF_all.append(y-fit_line)\n",
"\n",
"# Getting the z-score and standard error\n",
"zall = []\n",
"for dF in Y_dF_all: \n",
" ind = np.where((np.array(ts2)BASELINE_PER[0]))\n",
" zb = np.mean(dF[ind])\n",
" zsd = np.std(dF[ind])\n",
" zall.append((dF - zb)/zsd)\n",
" \n",
"zerror = np.std(zall, axis=0)/np.sqrt(np.size(zall, axis=0))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Heat Map based on z score of 405 fit subtracted 465"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"ax1 = fig.add_subplot(412)\n",
"cs = ax1.imshow(zall, cmap=plt.cm.Greys, interpolation='none', aspect=\"auto\",\n",
" extent=[TRANGE[0], TRANGE[1]+TRANGE[0], 0, len(data.streams[GCaMP].filtered)])\n",
"cbar = fig.colorbar(cs, pad=0.01, fraction=0.02)\n",
"\n",
"ax1.set_title('Individual z-Score Traces')\n",
"ax1.set_ylabel('Trials')\n",
"ax1.set_xlabel('Seconds from Shock Onset')\n",
"\n",
"plt.close() # Suppress figure output again"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot the z-score trace for the 465 with std error bands"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"ax2 = fig.add_subplot(413)\n",
"p6 = ax2.plot(ts2, np.mean(zall, axis=0), linewidth=2, color='green', label='GCaMP')\n",
"p7 = ax2.fill_between(ts1, np.mean(zall, axis=0)+zerror\n",
" ,np.mean(zall, axis=0)-zerror, facecolor='green', alpha=0.2)\n",
"p8 = ax2.axvline(x=0, linewidth=3, color='slategray', label='Shock Onset')\n",
"ax2.set_ylabel('z-Score')\n",
"ax2.set_xlabel('Seconds')\n",
"ax2.set_xlim(TRANGE[0], TRANGE[1]+TRANGE[0])\n",
"ax2.set_title('Foot Shock Response')\n",
"\n",
"plt.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Quantify changes as an area under the curve for cue (-5 sec) vs shock (0 sec)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"AUC = [] # cue, shock\n",
"ind1 = np.where((np.array(ts2)<-3) & (np.array(ts2)>-5))\n",
"AUC1= auc(ts2[ind1], np.mean(zall, axis=0)[ind1])\n",
"ind2 = np.where((np.array(ts2)>0) & (np.array(ts2)<2))\n",
"AUC2= auc(ts2[ind2], np.mean(zall, axis=0)[ind2])\n",
"AUC.append(AUC1)\n",
"AUC.append(AUC2)\n",
"\n",
"# Run a two-sample T-test\n",
"t_stat,p_val = stats.ttest_ind(np.mean(zall, axis=0)[ind1],\n",
" np.mean(zall, axis=0)[ind2], equal_var=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Make a bar plot"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": "",
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"image/png": 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\n"
},
"metadata": {},
"execution_count": 13
}
],
"source": [
"ax3 = fig.add_subplot(414)\n",
"p9 = ax3.bar(np.arange(len(AUC)), AUC, color=[.8, .8, .8], align='center', alpha=0.5)\n",
"\n",
"# statistical annotation\n",
"x1, x2 = 0, 1 # columns indices for labels\n",
"y, h, col = max(AUC) + 2, 2, 'k'\n",
"ax3.plot([x1, x1, x2, x2], [y, y+h, y+h, y], lw=1.5, c=col)\n",
"p10 = ax3.text((x1+x2)*.5, y+h, \"*\", ha='center', va='bottom', color=col)\n",
"\n",
"# Finish up the plot\n",
"ax3.set_ylim(0,y+2*h)\n",
"ax3.set_ylabel('AUC')\n",
"ax3.set_title('Cue vs Shock Response Changes')\n",
"ax3.set_xticks(np.arange(-1, len(AUC)+1))\n",
"ax3.set_xticklabels(['','Cue','Shock',''])\n",
"\n",
"fig.tight_layout()\n",
"fig"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.6.8 64-bit ('spy': conda)",
"language": "python",
"name": "python36864bitspyconda4e4a217d6bc34d79800c8a79c30c5bd0"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8-final"
}
},
"nbformat": 4,
"nbformat_minor": 4
}