diff --git a/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.html b/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.html index 7251ff70c..3ef49ef0a 100644 --- a/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.html +++ b/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.html @@ -13115,7 +13115,7 @@ div#notebook {
-
In [27]:
+
In [1]:
%load_ext autoreload
@@ -13126,25 +13126,6 @@ div#notebook {
 
-
-
- - -
- -
- - -
-
The autoreload extension is already loaded. To reload it, use:
-  %reload_ext autoreload
-
-
-
- -
-
-
@@ -13198,7 +13179,7 @@ div#notebook {
-
13:25:29 [I] klustakwik KlustaKwik2 version 0.2.6
+
12:47:23 [I] klustakwik KlustaKwik2 version 0.2.6
 
@@ -13443,7 +13424,7 @@ div#notebook {
-
In [30]:
+
In [13]:
density = True
@@ -13508,6 +13489,18 @@ div#notebook {
     
+
+
/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/lib/histograms.py:898: RuntimeWarning: invalid value encountered in true_divide
+  return n/db/n.sum(), bin_edges
+
+
+
+ +
+ +
+ +
@@ -13569,7 +13562,7 @@ div#notebook {
-
In [31]:
+
In [14]:
density = True
@@ -13694,7 +13687,7 @@ div#notebook {
 
-
In [32]:
+
In [15]:
def summarize(data):
@@ -13735,7 +13728,7 @@ div#notebook {
 
-
In [33]:
+
In [16]:
stat = pd.DataFrame()
@@ -13769,6 +13762,10 @@ div#notebook {
 
/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/scipy/stats/stats.py:5700: RuntimeWarning: divide by zero encountered in double_scalars
   z = (bigu - meanrank) / sd
+/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/core/fromnumeric.py:3257: RuntimeWarning: Mean of empty slice.
+  out=out, **kwargs)
+/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/core/_methods.py:161: RuntimeWarning: invalid value encountered in double_scalars
+  ret = ret.dtype.type(ret / rcount)
 /home/mikkel/apps/expipe-project/spike-statistics/spike_statistics/core.py:401: RuntimeWarning: invalid value encountered in less
   pval = np.sum(diffs > observed_diff) / float(num_samples)
 
@@ -13777,7 +13774,7 @@ div#notebook {
-
Out[33]:
+
Out[16]:
@@ -13868,10 +13865,10 @@ div#notebook { PRS Baseline I 11 Hz - 0.04, 0.365 - 0.01, 0.820 - 0.20, 0.262 - 0.06, 0.653 + 0.04, 0.374 + 0.01, 0.821 + 0.20, 0.260 + 0.06, 0.666 NaN NaN NaN @@ -13891,9 +13888,9 @@ div#notebook { PRS Baseline I Baseline II 0.00, 0.955 - 0.01, 0.606 - 0.30, 0.009 - 0.05, 0.587 + 0.01, 0.598 + 0.30, 0.010 + 0.05, 0.573 NaN NaN NaN @@ -13934,10 +13931,10 @@ div#notebook { PRS 11 Hz Baseline II - 0.04, 0.354 - 0.00, 0.985 - 0.10, 0.492 - 0.11, 0.470 + 0.04, 0.355 + 0.00, 0.986 + 0.10, 0.495 + 0.11, 0.463 NaN NaN NaN @@ -14000,11 +13997,11 @@ div#notebook {
-
In [34]:
+
In [17]:
stat.to_latex(output_path / "statistics" / "statistics.tex")
-stat.to_latex(output_path / "statistics" / "statistics.csv")
+stat.to_csv(output_path / "statistics" / "statistics.csv")
 
@@ -14021,7 +14018,7 @@ div#notebook {
-
In [15]:
+
In [18]:
psd = pd.read_feather(pathlib.Path("output") / "stimulus-lfp-response" / 'data' / 'psd.feather')
@@ -14035,7 +14032,7 @@ div#notebook {
 
-
In [16]:
+
In [19]:
from septum_mec.analysis.plotting import plot_bootstrap_timeseries
@@ -14048,7 +14045,7 @@ div#notebook {
 
-
In [18]:
+
In [20]:
freq = freqs.T.iloc[0].values
@@ -14063,7 +14060,7 @@ div#notebook {
 
-
In [23]:
+
In [21]:
fig, axs = plt.subplots(1, 2, sharex=True, sharey=True, figsize=(5,2))
@@ -14104,10 +14101,22 @@ div#notebook {
     
+
+
/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide
+  ret, rcount, out=ret, casting='unsafe', subok=False)
+
+
+
+ +
+ +
+ +
-
@@ -14127,7 +14136,7 @@ div#notebook {
-
In [24]:
+
In [35]:
action = project.require_action("stimulus-lfp-response-mec")
@@ -14140,7 +14149,7 @@ div#notebook {
 
-
In [25]:
+
In [36]:
copy_tree(output_path, str(action.data_path()))
@@ -14156,13 +14165,15 @@ div#notebook {
 
 
-
Out[25]:
+
Out[36]:
-
['/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/figures/lfp-psd-histogram-stim_energy.png',
+
['/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/statistics/statistics.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/statistics/statistics.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/figures/lfp-psd-histogram-stim_energy.png',
  '/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/figures/lfp-psd-histogram-stim_strength.png',
  '/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/figures/lfp-psd.png',
  '/media/storage/expipe/septum-mec/actions/stimulus-lfp-response-mec/data/figures/lfp-psd-histogram-theta_peak.svg',
@@ -14190,7 +14201,7 @@ div#notebook {
 
-
In [26]:
+
In [37]:
septum_mec.analysis.registration.store_notebook(action, "20_stimulus-lfp-response-mec.ipynb")
diff --git a/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.ipynb b/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.ipynb
index 6d26abc96..12bdbbf69 100644
--- a/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.ipynb
+++ b/actions/stimulus-lfp-response-mec/data/20_stimulus-lfp-response-mec.ipynb
@@ -2,18 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "The autoreload extension is already loaded. To reload it, use:\n",
-      "  %reload_ext autoreload\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%load_ext autoreload\n",
     "%autoreload 2"
@@ -28,7 +19,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "13:25:29 [I] klustakwik KlustaKwik2 version 0.2.6\n"
+      "12:47:23 [I] klustakwik KlustaKwik2 version 0.2.6\n"
      ]
     }
    ],
@@ -262,11 +253,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 13,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/lib/histograms.py:898: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  return n/db/n.sum(), bin_edges\n"
+     ]
+    },
     {
      "data": {
       "image/png": 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\n",
@@ -369,7 +368,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 14,
    "metadata": {
     "scrolled": false
    },
@@ -475,7 +474,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -512,7 +511,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -521,6 +520,10 @@
      "text": [
       "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/scipy/stats/stats.py:5700: RuntimeWarning: divide by zero encountered in double_scalars\n",
       "  z = (bigu - meanrank) / sd\n",
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/core/fromnumeric.py:3257: RuntimeWarning: Mean of empty slice.\n",
+      "  out=out, **kwargs)\n",
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/core/_methods.py:161: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
       "/home/mikkel/apps/expipe-project/spike-statistics/spike_statistics/core.py:401: RuntimeWarning: invalid value encountered in less\n",
       "  pval = np.sum(diffs > observed_diff) / float(num_samples)\n"
      ]
@@ -614,10 +617,10 @@
        "    \n",
        "    \n",
        "      PRS Baseline I 11 Hz\n",
-       "      0.04, 0.365\n",
-       "      0.01, 0.820\n",
-       "      0.20, 0.262\n",
-       "      0.06, 0.653\n",
+       "      0.04, 0.374\n",
+       "      0.01, 0.821\n",
+       "      0.20, 0.260\n",
+       "      0.06, 0.666\n",
        "      NaN\n",
        "      NaN\n",
        "      NaN\n",
@@ -637,9 +640,9 @@
        "    \n",
        "      PRS Baseline I Baseline II\n",
        "      0.00, 0.955\n",
-       "      0.01, 0.606\n",
-       "      0.30, 0.009\n",
-       "      0.05, 0.587\n",
+       "      0.01, 0.598\n",
+       "      0.30, 0.010\n",
+       "      0.05, 0.573\n",
        "      NaN\n",
        "      NaN\n",
        "      NaN\n",
@@ -680,10 +683,10 @@
        "    \n",
        "    \n",
        "      PRS 11 Hz Baseline II\n",
-       "      0.04, 0.354\n",
-       "      0.00, 0.985\n",
-       "      0.10, 0.492\n",
-       "      0.11, 0.470\n",
+       "      0.04, 0.355\n",
+       "      0.00, 0.986\n",
+       "      0.10, 0.495\n",
+       "      0.11, 0.463\n",
        "      NaN\n",
        "      NaN\n",
        "      NaN\n",
@@ -744,13 +747,13 @@
        "Baseline II                 0.24 ± 0.02 (34)  0.17 ± 0.02 (34)   \n",
        "30 Hz                          nan ± nan (0)     nan ± nan (0)   \n",
        "MWU Baseline I 11 Hz           248.00, 0.194     225.00, 0.447   \n",
-       "PRS Baseline I 11 Hz             0.04, 0.365       0.01, 0.820   \n",
+       "PRS Baseline I 11 Hz             0.04, 0.374       0.01, 0.821   \n",
        "MWU Baseline I Baseline II     860.00, 0.682     850.00, 0.753   \n",
-       "PRS Baseline I Baseline II       0.00, 0.955       0.01, 0.606   \n",
+       "PRS Baseline I Baseline II       0.00, 0.955       0.01, 0.598   \n",
        "MWU Baseline I 30 Hz             0.00, 0.000       0.00, 0.000   \n",
        "PRS Baseline I 30 Hz              nan, 0.000        nan, 0.000   \n",
        "MWU 11 Hz Baseline II          100.00, 0.255     121.00, 0.642   \n",
-       "PRS 11 Hz Baseline II            0.04, 0.354       0.00, 0.985   \n",
+       "PRS 11 Hz Baseline II            0.04, 0.355       0.00, 0.986   \n",
        "MWU 11 Hz 30 Hz                  0.00, 0.000       0.00, 0.000   \n",
        "PRS 11 Hz 30 Hz                   nan, 0.000        nan, 0.000   \n",
        "MWU Baseline II 30 Hz            0.00, 0.000       0.00, 0.000   \n",
@@ -762,13 +765,13 @@
        "Baseline II                 7.96 ± 0.09 (34)  1.23 ± 0.22 (33)   \n",
        "30 Hz                          nan ± nan (0)     nan ± nan (0)   \n",
        "MWU Baseline I 11 Hz           141.50, 0.240     192.00, 0.855   \n",
-       "PRS Baseline I 11 Hz             0.20, 0.262       0.06, 0.653   \n",
+       "PRS Baseline I 11 Hz             0.20, 0.260       0.06, 0.666   \n",
        "MWU Baseline I Baseline II     645.50, 0.108     805.00, 0.651   \n",
-       "PRS Baseline I Baseline II       0.30, 0.009       0.05, 0.587   \n",
+       "PRS Baseline I Baseline II       0.30, 0.010       0.05, 0.573   \n",
        "MWU Baseline I 30 Hz             0.00, 0.000       0.00, 0.000   \n",
        "PRS Baseline I 30 Hz              nan, 0.000        nan, 0.000   \n",
        "MWU 11 Hz Baseline II          141.00, 0.885     128.00, 0.908   \n",
-       "PRS 11 Hz Baseline II            0.10, 0.492       0.11, 0.470   \n",
+       "PRS 11 Hz Baseline II            0.10, 0.495       0.11, 0.463   \n",
        "MWU 11 Hz 30 Hz                  0.00, 0.000       0.00, 0.000   \n",
        "PRS 11 Hz 30 Hz                   nan, 0.000        nan, 0.000   \n",
        "MWU Baseline II 30 Hz            0.00, 0.000       0.00, 0.000   \n",
@@ -811,7 +814,7 @@
        "PRS Baseline II 30 Hz                   NaN  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -834,12 +837,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
     "stat.to_latex(output_path / \"statistics\" / \"statistics.tex\")\n",
-    "stat.to_latex(output_path / \"statistics\" / \"statistics.csv\")"
+    "stat.to_csv(output_path / \"statistics\" / \"statistics.csv\")"
    ]
   },
   {
@@ -851,7 +854,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -861,7 +864,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -870,7 +873,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -881,12 +884,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/core/_methods.py:154: RuntimeWarning: invalid value encountered in true_divide\n",
+      "  ret, rcount, out=ret, casting='unsafe', subok=False)\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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b/actions/stimulus-lfp-response-mec/data/figures/lfp-psd.svg index d1e2b2c3e..f22a0999a 100644 --- a/actions/stimulus-lfp-response-mec/data/figures/lfp-psd.svg +++ b/actions/stimulus-lfp-response-mec/data/figures/lfp-psd.svg @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:59f6f031fda39ac2c38c4404d1135206141d9defa9abfe65531aa4e495fbbdaa -size 131111 +oid sha256:069c50d70017e758fd578d06bc40277aab9c803cd99667e883a922cf1d31ccb8 +size 131047 diff --git a/actions/stimulus-lfp-response-mec/data/statistics/statistics.csv b/actions/stimulus-lfp-response-mec/data/statistics/statistics.csv index e7c24f876..9122b9185 100644 --- a/actions/stimulus-lfp-response-mec/data/statistics/statistics.csv +++ b/actions/stimulus-lfp-response-mec/data/statistics/statistics.csv @@ -1,22 +1,17 @@ -\begin{tabular}{lllllllll} -\toprule -{} & Theta energy & Theta peak & Theta freq & Theta half width & Stim energy & Stim half width & Stim p max & Stim strength \\ -\midrule -Baseline I & 0.25 ± 0.02 (48) & 0.18 ± 0.02 (48) & 7.78 ± 0.09 (48) & 1.79 ± 0.33 (46) & NaN & NaN & NaN & NaN \\ -11 Hz & 0.20 ± 0.02 (8) & 0.14 ± 0.02 (8) & 7.99 ± 0.06 (8) & 0.99 ± 0.10 (8) & 0.15 ± 0.05 (8) & 2.42 ± 1.36 (8) & 0.40 ± 0.19 (8) & 3.09 ± 2.06 (8) \\ -Baseline II & 0.24 ± 0.02 (34) & 0.17 ± 0.02 (34) & 7.96 ± 0.09 (34) & 1.23 ± 0.22 (33) & NaN & NaN & NaN & NaN \\ -30 Hz & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) \\ -MWU Baseline I 11 Hz & 248.00, 0.194 & 225.00, 0.447 & 141.50, 0.240 & 192.00, 0.855 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 11 Hz & 0.04, 0.365 & 0.01, 0.820 & 0.20, 0.262 & 0.06, 0.653 & NaN & NaN & NaN & NaN \\ -MWU Baseline I Baseline II & 860.00, 0.682 & 850.00, 0.753 & 645.50, 0.108 & 805.00, 0.651 & NaN & NaN & NaN & NaN \\ -PRS Baseline I Baseline II & 0.00, 0.955 & 0.01, 0.606 & 0.30, 0.009 & 0.05, 0.587 & NaN & NaN & NaN & NaN \\ -MWU Baseline I 30 Hz & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 30 Hz & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz Baseline II & 100.00, 0.255 & 121.00, 0.642 & 141.00, 0.885 & 128.00, 0.908 & NaN & NaN & NaN & NaN \\ -PRS 11 Hz Baseline II & 0.04, 0.354 & 0.00, 0.985 & 0.10, 0.492 & 0.11, 0.470 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz 30 Hz & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 \\ -PRS 11 Hz 30 Hz & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 \\ -MWU Baseline II 30 Hz & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline II 30 Hz & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & NaN & NaN & NaN & NaN \\ -\bottomrule -\end{tabular} +,Theta energy,Theta peak,Theta freq,Theta half width,Stim energy,Stim half width,Stim p max,Stim strength +Baseline I,0.25 ± 0.02 (48),0.18 ± 0.02 (48),7.78 ± 0.09 (48),1.79 ± 0.33 (46),,,, +11 Hz,0.20 ± 0.02 (8),0.14 ± 0.02 (8),7.99 ± 0.06 (8),0.99 ± 0.10 (8),0.15 ± 0.05 (8),2.42 ± 1.36 (8),0.40 ± 0.19 (8),3.09 ± 2.06 (8) +Baseline II,0.24 ± 0.02 (34),0.17 ± 0.02 (34),7.96 ± 0.09 (34),1.23 ± 0.22 (33),,,, +30 Hz,nan ± nan (0),nan ± nan (0),nan ± nan (0),nan ± nan (0),nan ± nan (0),nan ± nan (0),nan ± nan (0),nan ± nan (0) +MWU Baseline I 11 Hz,"248.00, 0.194","225.00, 0.447","141.50, 0.240","192.00, 0.855",,,, +PRS Baseline I 11 Hz,"0.04, 0.374","0.01, 0.821","0.20, 0.260","0.06, 0.666",,,, +MWU Baseline I Baseline II,"860.00, 0.682","850.00, 0.753","645.50, 0.108","805.00, 0.651",,,, +PRS Baseline I Baseline II,"0.00, 0.955","0.01, 0.598","0.30, 0.010","0.05, 0.573",,,, +MWU Baseline I 30 Hz,"0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000",,,, +PRS Baseline I 30 Hz,"nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000",,,, +MWU 11 Hz Baseline II,"100.00, 0.255","121.00, 0.642","141.00, 0.885","128.00, 0.908",,,, +PRS 11 Hz Baseline II,"0.04, 0.355","0.00, 0.986","0.10, 0.495","0.11, 0.463",,,, +MWU 11 Hz 30 Hz,"0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000" +PRS 11 Hz 30 Hz,"nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000" +MWU Baseline II 30 Hz,"0.00, 0.000","0.00, 0.000","0.00, 0.000","0.00, 0.000",,,, +PRS Baseline II 30 Hz,"nan, 0.000","nan, 0.000","nan, 0.000","nan, 0.000",,,, diff --git a/actions/stimulus-lfp-response-mec/data/statistics/statistics.tex b/actions/stimulus-lfp-response-mec/data/statistics/statistics.tex index e7c24f876..ae896aed4 100644 --- a/actions/stimulus-lfp-response-mec/data/statistics/statistics.tex +++ b/actions/stimulus-lfp-response-mec/data/statistics/statistics.tex @@ -7,13 +7,13 @@ Baseline I & 0.25 ± 0.02 (48) & 0.18 ± 0.02 (48) & 7.78 ± Baseline II & 0.24 ± 0.02 (34) & 0.17 ± 0.02 (34) & 7.96 ± 0.09 (34) & 1.23 ± 0.22 (33) & NaN & NaN & NaN & NaN \\ 30 Hz & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) & nan ± nan (0) \\ MWU Baseline I 11 Hz & 248.00, 0.194 & 225.00, 0.447 & 141.50, 0.240 & 192.00, 0.855 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 11 Hz & 0.04, 0.365 & 0.01, 0.820 & 0.20, 0.262 & 0.06, 0.653 & NaN & NaN & NaN & NaN \\ +PRS Baseline I 11 Hz & 0.04, 0.374 & 0.01, 0.821 & 0.20, 0.260 & 0.06, 0.666 & NaN & NaN & NaN & NaN \\ MWU Baseline I Baseline II & 860.00, 0.682 & 850.00, 0.753 & 645.50, 0.108 & 805.00, 0.651 & NaN & NaN & NaN & NaN \\ -PRS Baseline I Baseline II & 0.00, 0.955 & 0.01, 0.606 & 0.30, 0.009 & 0.05, 0.587 & NaN & NaN & NaN & NaN \\ +PRS Baseline I Baseline II & 0.00, 0.955 & 0.01, 0.598 & 0.30, 0.010 & 0.05, 0.573 & NaN & NaN & NaN & NaN \\ MWU Baseline I 30 Hz & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & NaN & NaN & NaN & NaN \\ PRS Baseline I 30 Hz & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & NaN & NaN & NaN & NaN \\ MWU 11 Hz Baseline II & 100.00, 0.255 & 121.00, 0.642 & 141.00, 0.885 & 128.00, 0.908 & NaN & NaN & NaN & NaN \\ -PRS 11 Hz Baseline II & 0.04, 0.354 & 0.00, 0.985 & 0.10, 0.492 & 0.11, 0.470 & NaN & NaN & NaN & NaN \\ +PRS 11 Hz Baseline II & 0.04, 0.355 & 0.00, 0.986 & 0.10, 0.495 & 0.11, 0.463 & NaN & NaN & NaN & NaN \\ MWU 11 Hz 30 Hz & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 \\ PRS 11 Hz 30 Hz & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 & nan, 0.000 \\ MWU Baseline II 30 Hz & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & 0.00, 0.000 & NaN & NaN & NaN & NaN \\