{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "c6569f4d", "metadata": {}, "outputs": [], "source": [ "import sys, os\n", "sys.path.append(os.path.join(os.getcwd(), '..'))\n", "sys.path.append(os.path.join(os.getcwd(), '..', '..'))" ] }, { "cell_type": "code", "execution_count": 36, "id": "7f255dbd", "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "\n", "from session.sessions import selected_009266\n", "from imports import *\n", "from matplotlib.patches import ConnectionPatch\n", "from scipy.stats import pearsonr\n", "from scipy import signal\n", "from target import build_tgt_matrix\n", "from loading import load_session_data\n", "import functools\n", "\n", "np.set_printoptions(suppress=True)" ] }, { "cell_type": "code", "execution_count": 3, "id": "c6b9cb28", "metadata": {}, "outputs": [ { "data": { "application/javascript": [ "IPython.OutputArea.prototype._should_scroll = function(lines) {\n", " return false;\n", "}\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%javascript\n", "IPython.OutputArea.prototype._should_scroll = function(lines) {\n", " return false;\n", "}" ] }, { "cell_type": "code", "execution_count": 4, "id": "58963ce8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['009266_hippoSIT_2023-04-17_17-04-17',\n", " '009266_hippoSIT_2023-04-18_10-10-37',\n", " '009266_hippoSIT_2023-04-18_17-03-10',\n", " '009266_hippoSIT_2023-04-19_10-33-51',\n", " '009266_hippoSIT_2023-04-20_08-57-39',\n", " '009266_hippoSIT_2023-04-20_15-24-14',\n", " '009266_hippoSIT_2023-04-21_08-43-00',\n", " '009266_hippoSIT_2023-04-21_13-12-31',\n", " '009266_hippoSIT_2023-04-24_10-08-11',\n", " '009266_hippoSIT_2023-04-24_16-56-55',\n", " '009266_hippoSIT_2023-04-26_08-20-17',\n", " '009266_hippoSIT_2023-05-02_12-22-14',\n", " '009266_hippoSIT_2023-05-04_09-11-06',\n", " '009266_hippoSIT_2023-05-04_19-47-15',\n", " '009266_hippoSIT_2023-05-22_09-27-22',\n", " '009266_hippoSIT_2023-05-23_09-18-05',\n", " '009266_hippoSIT_2023-05-25_15-55-57',\n", " '009266_hippoSIT_2023-06-14_08-21-23',\n", " '009266_hippoSIT_2023-06-19_08-58-35']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "selected_009266" ] }, { "cell_type": "code", "execution_count": 5, "id": "e907ae2d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'009266_hippoSIT_2023-04-20_08-57-39'" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "session = selected_009266[4]\n", "\n", "session_data = load_session_data(session)\n", "\n", "tl = session_data['tl']\n", "trials = session_data['trials']\n", "cfg = session_data['cfg']\n", "areas = session_data['areas']\n", "aeps = session_data['aeps']\n", "aeps_events = session_data['aeps_events']\n", "lfp = session_data['lfp']\n", "AEP_metrics_lims = session_data['AEP_metrics_lims']\n", "AEP_metrics_raw = session_data['AEP_metrics_raw']\n", "AEP_metrics_norm = session_data['AEP_metrics_norm']\n", "tgt_matrix = session_data['tgt_matrix']\n", "single_units = session_data['single_units']\n", "spike_times = session_data['spike_times']\n", "unit_names = session_data['unit_names']\n", "animal = session_data['animal']\n", "aeps_file = session_data['aeps_file']\n", "h5_file = session_data['h5_file']\n", "report_path = session_data['report_path']\n", "session" ] }, { "cell_type": "markdown", "id": "a5c8778b", "metadata": {}, "source": [ "## Plot signal" ] }, { "cell_type": "code", "execution_count": 57, "id": "26600f34", "metadata": {}, "outputs": [], "source": [ "area = 'PPC'\n", "s_rate = 1000 # Hz\n", "\n", "sig = lfp[area]" ] }, { "cell_type": "code", "execution_count": 66, "id": "32383794", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# sample of the signal\n", "fig , ax = plt.subplots(1, 1, figsize=(15, 5))\n", "ax.plot(sig[2000:3000])" ] }, { "cell_type": "markdown", "id": "bdd4a756", "metadata": {}, "source": [ "## Power spectrum" ] }, { "cell_type": "code", "execution_count": 58, "id": "7127cf8a", "metadata": {}, "outputs": [], "source": [ "def get_power_spectrum(sig, s_rate=1000):\n", " FFT = np.fft.fft(sig)\n", " nyquist = s_rate / 2\n", " freqs = np.linspace(0, nyquist, int(len(sig)/2))\n", " half_FFT = FFT[:len(freqs)]\n", " complex_conjugate = np.conj(half_FFT)\n", " return freqs, half_FFT*complex_conjugate" ] }, { "cell_type": "code", "execution_count": 59, "id": "00a254f9", "metadata": {}, "outputs": [], "source": [ "def get_spectrum(sig, t_start, t_end, s_rate=1000, nperseg=1000):\n", " # nperseg - Number of samples per segment\n", " t_start_idx = int(t_start * s_rate)\n", " t_end_idx = int(t_end * s_rate)\n", "\n", " noverlap = nperseg // 2 # Overlap between segments\n", " window = signal.hann(nperseg) # Window function (Hann)\n", " frequencies, times, Sxx = signal.spectrogram(sig[t_start_idx:t_end_idx], s_rate, window=window, nperseg=nperseg, noverlap=noverlap)\n", "\n", " specgram = 10 * np.log10(Sxx) # go to log scale\n", " specgram[specgram < 0] = 0 # remove very low powers\n", " return times, frequencies, specgram" ] }, { "cell_type": "code", "execution_count": 71, "id": "2d026682", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "((560300,), (796410,))" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# selected periods\n", "unit = '3-15'\n", "s_rate_coeff = 10 # timeline to LFP sampling diff.\n", "\n", "i_rate = single_units[unit]\n", "idxs_high = np.where(i_rate > i_rate.mean())[0]\n", "idxs_low = np.where(i_rate < i_rate.mean())[0]\n", "idxs_bgr = np.where(tl[:, 6] == 1)[0]\n", "idxs_high_bgr = np.intersect1d(idxs_high, idxs_bgr)\n", "idxs_low_bgr = np.intersect1d(idxs_low, idxs_bgr)\n", "\n", "def get_periods(idxs):\n", " diffs = np.where(np.diff(idxs) > 1)[0]\n", " starts = np.concatenate([np.array([0]), diffs + 1])\n", " ends = np.concatenate([diffs, np.array([len(idxs) - 1])])\n", " return np.column_stack([starts, ends]) * s_rate_coeff\n", "\n", "sig = lfp[area]\n", "sig = sigs['PPC']\n", "\n", "sig_high = np.concatenate([sig[per[0]:per[1]] for per in get_periods(idxs_high_bgr)])\n", "sig_low = np.concatenate([sig[per[0]:per[1]] for per in get_periods(idxs_low_bgr)])\n", "sig_high.shape, sig_low.shape\n", "#result = functools.map(np.concatenate, [sig[per[0]:per[1]] for per in idxs_periods])" ] }, { "cell_type": "code", "execution_count": 72, "id": "e3cbe6b0", "metadata": { "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/sobolev/projects/pySIT/lib/python3.8/site-packages/matplotlib/cbook/__init__.py:1333: ComplexWarning: Casting complex values to real discards the imaginary part\n", " return np.asarray(x, float)\n", "/home/sobolev/projects/pySIT/lib/python3.8/site-packages/matplotlib/transforms.py:2837: ComplexWarning: Casting complex values to real discards the imaginary part\n", " vmin, vmax = map(float, [vmin, vmax])\n", "/home/sobolev/projects/pySIT/lib/python3.8/site-packages/matplotlib/cbook/__init__.py:1333: ComplexWarning: Casting complex values to real discards the imaginary part\n", " return np.asarray(x, float)\n", "/home/sobolev/projects/pySIT/lib/python3.8/site-packages/matplotlib/transforms.py:2837: ComplexWarning: Casting complex values to real discards the imaginary part\n", " vmin, vmax = map(float, [vmin, vmax])\n" ] }, { "data": { "text/plain": [ "" ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "freqs_high, powers_high = get_power_spectrum(sig_high, s_rate=1000)\n", "freqs_low, powers_low = get_power_spectrum(sig_low, s_rate=1000)\n", "d_max = np.max([powers_high.max(), powers_low.max()])\n", "\n", "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", "axes[0].plot(freqs_high, powers_high)\n", "axes[0].set_xlim(0, 60)\n", "axes[0].set_ylim(0, d_max)\n", "axes[0].axvspan(3.5, 4.5, alpha=0.3, color='gray')\n", "axes[1].plot(freqs_low, powers_low)\n", "axes[1].set_xlim(0, 60)\n", "axes[1].set_ylim(0, d_max)\n", "axes[1].axvspan(3.5, 4.5, alpha=0.3, color='gray')" ] }, { "cell_type": "code", "execution_count": 56, "id": "8db156c3", "metadata": {}, "outputs": [], "source": [ "from scipy.io import savemat\n", "\n", "savemat(os.path.join(report_path, 'andrey.mat'), lfp)" ] }, { "cell_type": "markdown", "id": "7cb4eceb", "metadata": {}, "source": [ "## Spectrogram - selected period" ] }, { "cell_type": "code", "execution_count": 167, "id": "5719c5e4", "metadata": {}, "outputs": [], "source": [ "t_start, t_end = 1000, 1100 # in seconds\n", "\n", "# spectrogram\n", "times, frequencies, specgram = get_spectrum(sig, t_start, t_end)\n", "\n", "# speed\n", "speed = tl[(tl[:, 0] > t_start) & (tl[:, 0] < t_end)][:, 3]" ] }, { "cell_type": "code", "execution_count": 168, "id": "ddb44aa1", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 168, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(15, 4))\n", "im = ax.pcolormesh(t_start + times, frequencies, specgram, shading='auto')\n", "ax.plot(np.linspace(t_start, t_end, len(speed)), speed*10, color='white', lw=2)\n", "#ax.plot(times, SxxM.sum(axis=0)/15, color='white')\n", "ax.set_xlabel('Time (s)', fontsize=14)\n", "ax.set_ylabel('Frequency (Hz)', fontsize=14)\n", "ax.set_title('Spectrogram', fontsize=14)\n", "ax.set_xlim(t_start, t_end)\n", "ax.set_ylim(0, 30)\n", "fig.colorbar(im, label='Power Spectral Density (dB/Hz)')" ] }, { "cell_type": "markdown", "id": "9701d7b2", "metadata": {}, "source": [ "## Power spectrum for diff areas in time" ] }, { "cell_type": "markdown", "id": "5f232428", "metadata": {}, "source": [ "### First filter the LFP in 4Hz" ] }, { "cell_type": "code", "execution_count": 64, "id": "02057745", "metadata": {}, "outputs": [], "source": [ "areas = ['A1', 'PPC']" ] }, { "cell_type": "code", "execution_count": 65, "id": "c56e2ea6", "metadata": {}, "outputs": [], "source": [ "# filter 4Hz\n", "low_cut = 3.9 # Hz\n", "high_cut = 4.1 # Hz\n", "\n", "sigs = {}\n", "sos = signal.butter(10, [low_cut / (0.5*s_rate), high_cut/(0.5*s_rate)], analog=False, btype='band', output='sos')\n", "sigs['A1'] = signal.sosfiltfilt(sos, lfp['A1'])\n", "sigs['PPC'] = signal.sosfiltfilt(sos, lfp['PPC'])\n", "\n", "# get power spectrum\n", "spectrum = {'A1': {'freq': None, 'power': None}, 'PPC': {'freq': None, 'power': None}}\n", "spectrum['A1']['freq'], spectrum['A1']['power'] = get_power_spectrum(sigs['A1'], s_rate=1000)\n", "spectrum['PPC']['freq'], spectrum['PPC']['power'] = get_power_spectrum(sigs['PPC'], s_rate=1000)" ] }, { "cell_type": "code", "execution_count": 38, "id": "e5865e6e", "metadata": { "scrolled": false }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/sobolev/projects/pySIT/lib/python3.8/site-packages/matplotlib/cbook/__init__.py:1333: ComplexWarning: Casting complex values to real discards the imaginary part\n", " return np.asarray(x, float)\n", "/home/sobolev/projects/pySIT/lib/python3.8/site-packages/matplotlib/cbook/__init__.py:1333: ComplexWarning: Casting complex values to real discards the imaginary part\n", " return np.asarray(x, float)\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1, 2, figsize=(15, 3))\n", "for i, area in enumerate(areas):\n", " axes[i].plot(spectrum[area]['freq'], spectrum[area]['power'])\n", " axes[i].set_xlim(0, 10)\n", " axes[i].set_title(areas[i])" ] }, { "cell_type": "code", "execution_count": 39, "id": "08e08730", "metadata": {}, "outputs": [], "source": [ "# hilbert\n", "hilbert = {}\n", "for area in areas:\n", " hilbert[area] = {}\n", " a_signal = signal.hilbert(sigs[area]) # hilbert transform\n", " hilbert[area]['envelope'] = np.abs(a_signal) # amplitude envelope\n", " hilbert[area]['phase'] = np.angle(a_signal) # instantaneous phase\n", "\n", "# compute spectrograms\n", "#times, frequencies, sgram_A1 = get_spectrum(sig_filt_A1, tl[0][0], tl[-1][0], nperseg=2*s_rate)\n", "#times, frequencies, sgram_PPC = get_spectrum(sig_filt_PPC, tl[0][0], tl[-1][0], nperseg=2*s_rate)" ] }, { "cell_type": "markdown", "id": "889417a2", "metadata": {}, "source": [ "### Plot the timeline" ] }, { "cell_type": "code", "execution_count": null, "id": "803244ad", "metadata": {}, "outputs": [], "source": [ "window_l = 10 # in AEP events, 10 sec is ~40 events\n", "\n", "def get_time_corrs(metrics1, metrics2):\n", " time_corrs = {}\n", " for metric in ['P1', 'N1', 'P3']:\n", " inst_corrs = np.zeros(len(metrics1[metric]) - window_l)\n", " metric1 = metrics1[metric]\n", " metric2 = metrics2[metric]\n", " for i in range(len(inst_corrs)):\n", " inst_corrs[i] = stats.pearsonr(metric1[i:i + window_l], metric2[i:i + window_l])[0]\n", "\n", " time_corrs[metric] = np.array(inst_corrs)\n", " return time_corrs\n", "\n", "time_corrs_raw = get_time_corrs(AEP_metrics_raw_A1, AEP_metrics_raw_PPC)\n", "time_corrs_norm = get_time_corrs(AEP_metrics_norm_A1, AEP_metrics_norm_PPC)" ] }, { "cell_type": "code", "execution_count": 40, "id": "a15fbfb2", "metadata": {}, "outputs": [], "source": [ "aeps_tl_idxs = [] # idxs to timeline for AEP events\n", "for event_t in aeps_events[:, 0]: # AEP event times\n", " event_idx = (np.abs(tl[:, 0] - event_t)).argmin()\n", " aeps_tl_idxs.append(event_idx)\n", "aeps_tl_idxs = np.array(aeps_tl_idxs)" ] }, { "cell_type": "code", "execution_count": 41, "id": "055097da", "metadata": {}, "outputs": [], "source": [ "# events / speed\n", "bgr = np.zeros(len(tl))\n", "tgt = np.zeros(len(tl))\n", "bgr[tl[:, 6] == 1] = 1\n", "tgt[tl[:, 6] == 2] = 2\n", "\n", "# unit\n", "unit_id = '3-15'\n", "with h5py.File(h5_file, 'r') as f:\n", " i_rate = np.array(f['units'][str(unit_id)]['inst_rate'])\n", " s_times = np.array(f['units'][str(unit_id)]['spike_times'])" ] }, { "cell_type": "code", "execution_count": 45, "id": "ef92e778", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "t_start, t_end = 1000, 1400 # in seconds\n", "\n", "tl_idxs = np.where((tl[:, 0] > t_start) & (tl[:, 0] < t_end))[0]\n", "\n", "fig, axes = plt.subplots(4, 1, figsize=(16, 10))\n", "\n", "# spectrograms for A1, PPC\n", "for i, area in enumerate(areas[:1]):\n", " #sgram_idxs = np.where((times > t_start) & (times < t_end))[0]\n", " #im = axes[i].pcolormesh(times[sgram_idxs], frequencies, specgram[:, sgram_idxs], shading='auto')\n", " #axes[i].plot(times[sgram_idxs], specgram[:, sgram_idxs].sum(axis=0)/30, color='white')\n", " #ax.plot(t_start + times, specgram[9]/5, color='orange')\n", " #axes[i].set_ylim(0, 10)\n", " \n", " factor = 3\n", " env = np.array(hilbert[area]['envelope'][::10])\n", " env[env > factor*env.std()] = factor*env.std()\n", " env_scaled = 5 * env/env.max()\n", " axes[0].plot(tl[tl_idxs][:, 0], env_scaled[tl_idxs], lw=2)\n", " axes[0].set_ylabel(area, fontsize=14)\n", "\n", " # events\n", " axes[i].plot(tl[tl_idxs][:, 0], tgt[tl_idxs], color='green', lw=2) # target\n", " axes[i].plot(tl[tl_idxs][:, 0], bgr[tl_idxs], color='black', lw=2) # background\n", " axes[i].set_xlim(t_start, t_end)\n", "\n", " \n", "#env_scaled = np.array(hilbert[area]['envelope'][::10])\n", "\n", " \n", " \n", "# # unit\n", "axes[2].plot(tl[tl_idxs][:, 0], i_rate[tl_idxs]/i_rate[tl_idxs].max(), color='orange', lw=2) # unit\n", "axes[2].set_xlim(t_start, t_end)\n", "axes[2].set_ylabel(unit_id, fontsize=14)\n", "aeps_idxs = np.where((aeps_events[:, 0] > t_start) & (aeps_events[:, 0] < t_end))\n", "axes[2].plot(aeps_events[aeps_idxs][:, 0], AEP_metrics_norm['A1']['N1'][aeps_idxs], color='red')\n", "\n", "# speed\n", "#ax.plot(tl_slice[:, 0], tl_slice[:, 3]*(-5), color='red', lw=2) # speed\n", "\n", "#fig.colorbar(im, label='Power Spectral Density (dB/Hz)') \n", "#fig.tight_layout()" ] }, { "cell_type": "code", "execution_count": 82, "id": "1156cb16", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.08515950881305112, 0.0)" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pearsonr(env_A1[::10][:-10], i_rate)" ] }, { "cell_type": "code", "execution_count": 159, "id": "6995874e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.1077891531350649, 1.5857728756071434e-15)" ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ "bgr_aep_idxs = np.where(aeps_events[:, 1] == 1)[0]\n", "\n", "metric1 = i_rate[aeps_tl_idxs][bgr_aep_idxs]\n", "metric2 = AEP_metrics_norm['PPC']['P1'][bgr_aep_idxs]\n", "\n", "pearsonr(metric1, metric2)" ] }, { "cell_type": "code", "execution_count": null, "id": "245e6e67", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 5 }