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@nicofarr
Created November 18, 2017 04:45
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from nilearn.datasets import fetch_neurovault_ids"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Reading local neurovault data.\n",
"Already fetched 1 image\n",
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"84 images found on local disk.\n"
]
}
],
"source": [
"paindata = fetch_neurovault_ids(collection_ids=[504])"
]
},
{
"cell_type": "code",
"execution_count": 95,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/Users/nicolasfarrugia/nilearn_data/neurovault/collection_504/image_7509.nii.gz'"
]
},
"execution_count": 95,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"paindata.images[0]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"b'Neurovault statistical maps\\n\\n\\nNotes\\n-----\\nNeurovault is a public repository of unthresholded statistical\\nmaps, parcellations, and atlases of the human brain. You can read\\nabout it and browse the images it contains at www.neurovault.org.\\n\\nIt is also possible to ask Neurosynth to annotate the maps found on\\nNeurovault. Neurosynth is a platform for large-scale, automated\\nsynthesis of fMRI data. It can be used to perform decoding. You can\\nfind out more about Neurosynth at www.neurosynth.org.\\n\\nContent\\n-------\\n :\\'images\\': Nifti images representing the statistical maps.\\n :\\'images_meta\\': Dictionaries containing metadata for each image.\\n :\\'collections_meta\\': Dictionaries containing metadata for collections.\\n :\\'vocabulary\\': A list of words retrieved from neurosynth.org\\n :\\'word_frequencies\\': For each image, the weights of the words\\n from \\'vocabulary\\'.\\n\\n\\nReferences\\n----------\\n.. [1] Gorgolewski KJ, Varoquaux G, Rivera G, Schwartz Y, Ghosh SS,\\n Maumet C, Sochat VV, Nichols TE, Poldrack RA, Poline J-B, Yarkoni\\n T and Margulies DS (2015) NeuroVault.org: a web-based repository\\n for collecting and sharing unthresholded statistical maps of the\\n human brain. Front. Neuroinform. 9:8. doi:\\n 10.3389/fninf.2015.00008\\n\\n.. [2] Yarkoni, Tal, Russell A. Poldrack, Thomas E. Nichols, David\\n C. Van Essen, and Tor D. Wager. \"Large-scale automated synthesis\\n of human functional neuroimaging data.\" Nature methods 8, no. 8\\n (2011): 665-670.\\n\\n\\nLicense\\n-------\\nAll data are distributed under the CC0 license.\\n'\n"
]
}
],
"source": [
"print(paindata.description)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Checking whether all images are in MNI "
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import numpy as np\n",
"\n",
"all_mni = [not(image_not_mni['not_mni']) for image_not_mni in paindata.images_meta]\n",
"np.alltrue(all_mni)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Testing visualization of a bunch of guys "
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
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ehxyxWZMwrE9j9CNqe/Ju6kc2PkutLpzESdCNRHwTu8K9QOyU1IO9FHXb87KE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\nxAfHDgM4fF7x9yVPyFxknFuMCTMllghaH1ujP7NGkv5EIuh0Ol8rBS/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V6cuXLxobG1ND\nQ0PObRzygQAEAPgmCECL08uXL7V69Wo5jqOBgQHt3LlTb9++DZwLNDw8rB07duS0CiyfeAQGAPgm\nfpmn/1+77s/z8nvD4sqVK7p48aIKCwtVXFysnp6eRPhZt26dBgcH53mEuaECBAAAQodO0AAAIHQI\nQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAA\nIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQI\nQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHQIQAAAIHR+BTGEdiMnUUfe\nAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116c46198>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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zzz7by6cZrSuvvBKdnZ04//zz8fGPfxzbt2/Hn//854yV1v/93//h9a9/PT7zmc/gv/7r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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11099ca20>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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Pf/bq/wBAZ2cnrrzySnz3u9/F1KlT8cgjj2DEiBHYd9998ZGPfCTplJdccgkefPBB3Hff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\niOv4f+zjzDkPePGWAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10f81e9b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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rrJzIsh5iazrrqW7ISMMcT5oZ4qcwffRwZYImk/f1LCTvF+vNo2250m8S1lBC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\nm7F48WIccsgh2G233XDIIYds5pIHbE6ccsopWLBgAZqamrB8+XL827/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"text/plain": [
"<matplotlib.figure.Figure at 0x116da5d30>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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ZuMWbAlQ6o0fTx4X3AcuH2+hOjB49GcXudMUvl7J42A3DMIwCLTAj6LQk+71d\nNW/Z2iGkkd8auEOnA/pwAkQp3U28fzzUjcDPh8K/a33XWuukEXobWDOKdnUG0D5ypF66fnyYBO36\nyBYokVV+d+9+b2r91+eVH6n2HI4ovAJfpzlnMyUy0RqWDtuyy5Jrxtq91bSNjLLcBU8zpAxKeB61\nvEnlSz6Hrn37iW1JCWrEW3itaAvpBu8ibRtfPhWDMplupAJJpELiGraCb5dFUrV1DXrK4eVYKj8y\nbojrPSdNBaSbOk9fhm6QhvGanU8aXNum7RglqCy67KHkNQkNtJpsDPbq7lczgjYMwzAMo+ywLrD2\nwPuANat76c7JWwtaC0VzJfZ5XMgavzYQJEfrq++HSAHqg8J5pHGdp321VohsZfF9NYVJttS4cgFE\nCtF2sY6Qeee47QUGioEqu4MSlFR+yJ6HDJynxNNpQNUBxZtIIW0zBTfkRsyh4IUuw3ppwKzZ8dB6\nKlt9ETW7XG7tmpux6zgyHzINng+fBuPal78RtfORLtA12BZfp7/HrvHSKNr1pKbRKlw5BLqmjBYP\n9Awk75UrhIDcluBnI98J2r4uZUMrv67j0HZaoEvXuzeLqMyS+izLk2b24FKatXLMy76m3kh8FmTy\nfEqnlH6GHospQIZhGIZhlB0WCDFMYaBCrVVSjWSQL62Gz21XQlYCmvLDW6Wa2hLqR+bpytZsFaLb\n1Qelu5TzFpn0LtD68V1tDe04rsE2Q/3avvSjdRQGvjsaQxeUH+mBRLY/R0ST4QcURlfhY4ICwN/j\naVYG1eQeePI+yXlXGQp5bkmbGRpWYAjcSqDrONyziC/zHb8R7nIttwGSwT5dXm6h8AwFD8Nt8fG2\nxTYjE+Iy5Tq6doXltvJJbURXq5XaO6kSydyGFDjdJk+f52U2pPz4bHO0MhilNRT1oKu6J7YBAOq9\n6o0rj67jaPBz0HoAXMMPybxoxy1d7ujVSpANhmoYhmEYRnflvPPOw4gRI3DIIYc417/33ns47bTT\ncOihh+LII4/EK6+8ki5hGwxVh6zfkRhM09XCkd4Lmr0LVx7StjLlcXk6sv9bBqhz3UWf8gNErfO+\n7Dc/jmaf5FMJCJIlNI8LF9qQCq5AiBKfSuDOrxw4lWwecrmtnuPsHgqDnMr7RAY+e8fTcYXZGrFL\nQnyTnoXcBghsGd+plCaS1l6k5RWIml38mSF8xwsNiutTp2TkYUJ6tfmCa2qeOLxsyYsf8X+xEjSU\nDZxKKVKqstxVim1dJVgOpNq1SpDPHkXieidq75HQoLoNiX2kipscDJm/e/3v3EqU4rfoSkOzsJXH\nd70LS1W0mhDOZXrbIHmUUfGq5cgSAAAgAElEQVT3cEMXeIOde+65uPDCC3HOOec411977bWYOHEi\nHnroIaxevRpz5szB73//+3DCpgAZhmEYhtFdOfbYYzF06FB1/auvvooZM2YAAA488ECsWbMGGzdu\nDCdMXmDaXwfSYxSgQXnlJ4JaFAVbDGnX4Ir8LHH1xWoeASF4i0kbCsNV03d5bAAFZYafQwWito/0\npArlNascm/LNj+NLS1OcZKvdZ9sk+8r5vZH7+/XOTGZYp6lAmczU+JdULOTAumL4zSoUToumMpiz\nM8ZUyM7C1ToPNZs0RYDiSw2B3pKV96SabRtSWLkXGG0rh6ORrnEuGxLptZmMLl48X4VkeUPR/LZE\nDCtX+c86j6pvWaBz7NfSvKt8Niou+DtDqnGJkaHFduGyWHh/SyWII2NAVeZTJ72jMOSMdg1c9klp\nVG6ZZsjeshTVXYsk5dqmeF3IGqs7cdhhh+HBBx/E1KlTsWLFCrz11ltYu3YtRo50j9iQx4bCSCKL\nTH2i4Pu6wHyunnK+1C4Gvr3s8pLjNbkM6LSXuRyssAq6YCfTcFVytGEtCNqHV4Q0N9eO6vLi66sd\nxyG0F1bnPP6ZzNlIGp7Lri+q+NCHPaYWya4vit3WKCvKvqFEiLSG7659JPy5oACb2jAxdDx+floF\nhPZ1DWkgy4N0V3aVQwmvULnS5HlP0y0HuANKEjLwpzs3rj3pqLsjcF3SEcTX1SnXyfLsmsphWGQX\nvqz48Mqq/9lMvr/lb6jLo0oPHUtWvmUarq7UtO94X+BOaRovK9ClhNp0deUW31O6XkO7oUOIxrx5\n83DRRRdh4sSJ+NCHPoQPf/jDqKioCO9ocYAMwzAMw+ipDBo0CHfeeScAIJfL4Z//+Z8xYcKE8I6t\n6DRpq0dUgGT3l5u07p2cYvfK0lx7pSrBXT9dLXq+La/da8pPGgPGNK7lRKjVk6bFHTJ+9OUjpEBV\nQr93UlEoHG93GkRnMhfGv6qRbJJoxs+iu3U72zUvCNJ5rBEreDlJ647uup/yWocUUBdpjKG1MlpK\nd4BsSfsMeF3PD5B8hvg+MvwDHNvw7XhXtq9bLInrykg6UgkiNWCbtxsJKO561MwBXCpvqNtVC9XQ\n1q4/rUvINfjtzvi39t5qT1exzI8vb1KNTHM8n2u+3Kb4GU7zpu0u1NbWoqqqCv369cMdd9yBY489\nFoMGDQrvaHGADMMwDMPorpx55plYunQptmzZgrFjx+Kqq65CNhtV0b70pS/hb3/7G2bNmoVMJoOD\nDz4YP/nJT9IlbJGgkyR78Etx9dRciuWAnS6XRdlXDjHP+8NlurKPnHD1e6dxJdZajTK4YVvcXiUu\nNaYt9icarpaU1jqVzQHfwJgdCb8HMqQC2a6Q8jNGLI+pBdCYYzNAwQhIKoWu66sNn+IzPJct5pCx\nfCsiGyBXi9dHyE6JcJ0PnbPmclyKnZ58hvgzS9dCG75F2hxxBai2aJ9sHHRP2rT7tDFJR9oEUVpJ\nJcilDEuVTDOKdhkyp1X0CmmlD2Lqsock0gQMlMO6aOWmLTZzpbxbtHzw4J/acQifPWRUfsnpZ2Bc\nFumed8VAvPfcc493/ZQpU/D666+XnrApQIZhGIZhlB0hBagDay09pgJUejs/i6TbJqGFaa90LJNo\n/d61SNpyhIaDcKXray1oNXzN/onyw1sUmt2Oj7Sus6Xg680mFSVkw8JtgTou4FzB9sdnqzVGTGXA\nvThvjUDSK3CzmLo8kDQVRbO/SqP6aa3jHApvnVDTi+dR2j247OL4vM/+QracXaEjaJkWtNOlCmvn\nrF1fVx6jPFBru1KoGpRD7tI9UBlqoyOeoFHCJpLOtuBa7nOr9jnxS0IDfmp2L6XYAKV5t7jW5VAI\nh8i30TxX+TTUa5DmmdLs0GQafBgisGWufXiaMv3ikAD+8AE9nJAXWAozorT0mAqQYRiGYRi9HIsD\nFOHy/krGj/DFtZGtWdkyTXOVZWtAtsD5fJq4OGlxtXpaEcUC0tQi2SIjJYV7dBChYGDc7iXUEvQR\nak3x5dwOA9Dbz7snSEQmc544rqvVKINrap5r3L6MD3LK1/nKi6aEaOolJ63XVxqPP59NRUih8wUz\nlNtqChDPh1uZSW7L74lsSWu2Ii5vMzkfTZOxbJPeZwUVZlvRGplyJjOozapl2Ae0vXqTfJ9odpfp\nvQz9ykU6m7KBqEcjgBZUIFle/IEvi9XckALUlsCuPu9FeR19Nk6+/PdyLA6QYRiGYRhlh3mBRbhb\nC1rN2NUfrXnQaHYA3AZIq6X7FCCtpl9K/7t256tRiAQtvaW01mwabymfx4O8FmlUHJlu2hZLJZJ9\n41Ldk5GF09hslYJsyafxBpEtUMLVApSqiq+F6fYC0ct0PyTvk1YOZR5dthShvGv55vg81bQhKKTS\n6iuXMi3NG4yv03B5ZhLacy3n+dAbkcpXn4gU7FOe0hHeQ5aNBujDhWjDl/iOKN+1yQj00gvMPfip\nnJdKzzbnHpWIogBl0ILmRERoDde7V7sGvudRSy/NOz7tO7gJBbVYs2WK4LZW1GPS2d5gHY55gRmG\nYRiGUXaYAiTxxc3xbRvyAJH9xnx7qUZo6hG39WjLXZPp+TwDMmKZRA4eyK+R1tJOo3aU2kp1qQQh\nuwFAt+eS+UiWB2ottsUbLJP5YvxLtghd9i68VQ0kY0n5InlL5cJnXyOXaUqTy24grfpGee2L6K3D\ntw8pTpxQTBnfGFFa+Uijvskoz9RqJkVoCJLKgNZy5/mR68T4bglcChAdN2TvlUUmMwoAkMttCByn\nkEMgaTGnb9mIpKIgt9H2dRGyT6nK768rP2EV3PfGyMR/hRhIhLzfrkjR2jMq1bo0yO+R77w0WcNl\nm6oNPN1JNYMupBMFoO5ZAaLhDdJ9eNNs4wuLzqcuebSUbrRSu31cHy9p4Mxf2BlE3WCaRK+9Cvux\nbeTHXY4s70ojJNv7Xqppux74PqGKEN+u+GXVthD8fMBZnhefoT1tIz8sru4Y7eMucQUMDBkju5Zp\nXRbaJ6UCUQWo8OHS8+Yrs6HAdVnHNjQvy6Gr3GiVo+KAhcXHo8pLqKvHdd5ph9XhH1B5HjLYJaXJ\nB1hN/1EblsmonfM6WeiflJAhsPzN52V3pQutQiIpBKCUz7DrKeyD6ENJ65IhALSp63lMEzhUlp+0\n5gBZJMurfKZdy/3Pu+sa9ZaqUScKQN2zAmQYhmEYRvlR9gqQm1DNXta8fe2jUkKsy21CBpGufbQ2\nm6vLQUuvElG7pw/01qyWR75dGglaI9QtUYps7tonVO/XjKMLUvvQEhSgQsBDCmYouxDTKHrawAhE\nNQoqhExfI40RZqlqI99WyvUViF471Uh26ZVCqMu5ybFNqNvOV16lOkvz69jxpMKkqWMuNCVwsFhf\nzZb7urBdaRauSZruW1cHf/KpdF0zTeEtRU1O231WieQ10+5rcr4+TjfNsxx+m8kyz7sptXMPG2jr\nuK5RGsWngDT+BpJdidLIvLeoP4ApQIZhGIZhlCGdGAaop1SAXH2x2ryrFp9WsUhjcCmNo9MoP5oS\n5AomR/Oyr7wfkkbQmj2Sq8Uh8xmys+HGoK51vuPzPKa1f/EdL0zbWkKk/OytrOeG45p6EjKS52jl\nwjUNBTxs+7VKppEMOKq7OqdBUyDT2JX4jMilPYk2xI0r/MMQMSVKUTo0Oz1eFqQ6JPNWJebbDx2p\noBLQMfi11MqLZlTvemdIfNZImt2ZvL8uxalwRtpRyRpSz6FUi/k9SvtO4s+AfA60++t6tuV7WTqk\nFKflD/8SfsN15LBAXUErOi0QdE+pABmGYRiG0dsxBSgBVwdk6ytklc/XyVq86zJrrT/NeyWNDYE2\nn8a2xIfWwva5Lmv59eVFa+34bI00ZUs7XtaxbcjTwtey1clkvh7/2i+eyla7K6ihdG8ewtYB7oE/\naRqyu5DXkw+r4lNRQpSi2hCabYYWJBIIl1Wej1AoAE1dcUHrNLVsPXR3Yt9QJlprO81AsbJ1T2hl\nOunJmLYFH1Z+eFgHTXHRLYnCgzn73oGyvMjz9w0TGx1XDj7LtZccog9lcm+tvPrUsDTqirZNKXZv\nobJfqfzW81GPoUpaPRezATIMwzAMo+wwLzBn/a/Ulj5XFHzeCr71HUUpdi+a0tSEqG6cgd5qcykJ\nWl5C19PVwpctmTQxkYaIbUtRmjrCzsVFTTyVdiE+Dyip/MjYQZpo67OlkNePB81ri+KjlSUt9gql\n7Qqdn+bah1q/afbVbOpkWatEuNz5huugqVT7aMrVkzTxjFzzvAxo6ptvSAZd+B8WD3PA/ZGSqgfd\nZ1k2XV5Mmmrn+/SkfT5dyzXlR8ZNSh6n0WEL1IKo1G5U1S+pgvkUxdD3gV8/7br5AuemSR8ofk41\nOyVfWe8dmAJkGIZhGEbZYQpQHl77DbU207ROQjFGXK0QrSVeis2RxNV3LluRrhgnLfFv6e2i2TnI\nFjMQjrjrU35C9gMuQq1nTtq4HElkXAyNaNiLw+I5UoJk+q5hC2QrTe6rtfh9Q6VoA+u6lKg0NjFy\nW82jSrZiqT3tsj1qS0vTZy+hpauVLVcrXLtuLiVGHk9rwVcF1rvySnAPIK08VIkplR+fWqXnAOC2\nP1JdkWol31NTOeX1dr1ztbLnep+FymmaAWuj+fo43fqi55Fi5cjnUKpfLnuotqirhBaDrZRBZTXl\nh+dRRqUnZNUg+Xy2LRp+98EUIMMwDMMwyg7zAsvjUwA0bzAXWmsk3P+cno62V3HZQFBLXapEmiLE\nWwfSY0aLn+SL2RK6Nrz1qCkWoXmet9A15S1uai26YmhwapBe+aHzrUayleaKtQK4vZg07w86znYx\nz1t5Pu8hThpFUkJ5bUH02tnOlmleaDw/WrryueXn71MngcL1dA3eq6m+xWWWt4Bp7235bTWljkdz\nJjS7D03VrETS3koqE5IsIm81nge9A8BlzZO0e3EpDXQ9pQ2OjF/TlggsrjLKnx3ftjzP0r5ODjjM\nyyT9plhe8pwpDZctUGicPXkOPrS4dC6bR6kOaipVNZL3Sb5DklUEqfwMiu3G6nIuG7/uSw4WBygm\nTaVCC+TlMiiT8y6pngqndJeVx0nzAdIM2FxdX3JeBk4DCh+qWrENPQzyQ+rqCpAPlm84jbQVHgkf\nFFLrEnDdE/likLgqxJrxbDGZzNnxr4lIvpRl15Or/SFf2Nr5+Spv8oMqKwG+42rdWq5tQwa4spLb\nCqAZ0flr3UoybdfHntDOh5e14uMUBrOU3TpwzPu6bYu3oi0Lo4Zrz36abhHNkNh1z+WHWDMC5unK\ngXQNo/wwBcgwDMNI4G+WaJX0UIp82paI3/L48jegx+XhNjuyUqopNVkAbyFqEJKaK48rVRWuwGnq\nt08JkutCjTV+LlrjT8vjEEe6oajnhevd06vPLShTI+jjjjsu/vV+PN1Zwt4VYr4PW5ZRtpHw8Fpy\nyrfhacpjcuS+Mg1+PMrbOpFWBZvWxsd9KF5GRtGURrOS91aWXkZMZZ60+VLIoGCkKO+Blo8+KfJG\n59vMps1im2haKEvE3+PpCgB7iuPQy43K3S6RZiXbZw+2jPLN80Rp7WLztI7ynxNT3/2S5UAu96GV\n+xYx3Rzn5SEkrydBrwo67z3YMjqOPJ9mMW1C4ZneGacaXS+6WnvESo3rySmkKq9FMfXx+r5oSeSs\noJLSvd4YT1+Op/yVSEeU5U97NiqgK4KUV0qzBsAnEJUPUh6Tn65RzP0dKO5cTqpKmjG0j1KcFEJG\n0Vxl1gKh0vxgti0QXQ+tS9plON8PxRUgzbjbpbzJ9GT3n+saaNUKTXV1ucFrRtCu+xZyYJBKbWdp\nJrsfM4I2DMMwDKPsKNsusD/8gVphg+Jpmn5/zTiUS6qaXOmz05Dzpbi0a2gBBV154i6RNL8SUWv7\nECVvmmsxT1czTnYZmIYMln0tQp9BJpTtQulTK287m3ef89KlS4v2zGQujH8dhuTgp6S6vRpPN4v1\newM4KP5Nw2dIo1bKG+27ns27jDgBv3GtZsxJLWdZ3lwDgErkcek6/haRSvNhtoygckjGpvvH0/FI\nGpPLckjnu5lNSYmLpnviFYClJLUMTsFSqyWej6aF4QCK8zGIWfxQzrYlzqdGTLl6kdZVn6hm6cqp\ndLjg9j5pjf6lEbT2fPqCLRKaKsGDMsqrl8bVWyLTleWZz2vn3yi2pXQzLN2Qcb3PNjT0bvcpQtq3\nhV/HjjDplYNk6+/VzlJPdhdmBG0YhmEYRtlRtgpQAZ/yIPvWtX199WBf37imUBBaoDZfGnI573sO\nuaXzgVtb2G9XXjS4uqL1WctWr0t9852zto9EpsHn5XloXlK8Ze4/90xmavyLFBzeIiO1g6s1fMqH\n8ZB5kOVCc9FO403n8iCTLrKu4Q04VUheH62cSK83sqXibvA8XVc+eDgBQhvI1GWTEuWlPp+n1wAk\nnZrTmPHWJ66v73qnVULTIMsyH/hSbqOly5/N0LtNliafh56cdz3XfBuXmis9R7Vnt5QQJJrdEt9O\nu2Z8mz6IPl/ymkmbmO1ives9I6+X/PxWsmUhlc737fJ53PLj+gJKyu9CYX3aYLDdHbMBMgzDMAyj\n7LChMPK4lJ9SWnCheqRshbhq3tpxSlcjksfxuUhqLQ0asoATajG5WplyG9lHzlsr4ZZp8fo09jxp\nCCkZaXqKpV1KAwoKj7RR2S6WEzVI3m/NpsJlWxFS0Fwuwr4gaa40XNdXs8mRcaQowCZXMELln6Mp\ndITPziuC2qzrYyVIaks8FCVBOR0Z7+0KnZgkZNfGU9aQSoHLvkTzznHdE32YDn9OQmo3vxKauqEN\n6ZBFUvmR81KNcKG9t2UeswjbSPI0MohUIE0RlYqXz7pMg18L7VqnGeRZor2nZdlwId3fe7rFTxJT\ngAzDMAzDKDtMAUrQD7p3lNYS5q1ZWZ/0tVhkSyWNFQKQ7pa5av6aZ5o8P18LPxSfw4WvJUbHD9nx\n+K6jZgtBLSbpFeMye9O8blzeUsXHy2RGxb/IqoTbBGjRvbU++kYUVBOygQndH15+5PWSrVNXQDTf\nYI58X55XWkZ5lTFDtOvI49poSqFsnW5G2EvKNQyCaxDQwnHr4/Osj+2yRsZxelyh4UJRbvgVakws\n1Z7rNPZDmj2NiyYxlSpcLZLPQFofGE2NcKEpej67l7Q2f65nXZ63BlfRtHIkj0fTjCdvmr0b3z+k\nnLl6E2SeQhHT+fYhXYOrSTI2FO0rPUqT783wcEDdG1OADMMwDMMoO0JeYKXEKg/RgytAWouGt6Jk\n7VnW4kuxbwi1GPlt0VoFaeJJ+PKUQXH9WKsnh1puvn1KSSdNS1XzmmuPyJkmwi3hiiYrjy1VAXkt\nalGIvyNjBGlReF1oygHNu0Lhh+L/8LJF21SLbbXx0nz3QObR1SLVni95PSlfNSwvdK5S9Sh+HjbG\n841Ymzg7mVNf27uA5inFCT232rhvaWzfpDLRCN1OKO2TLNUAea98e8ttXOpqR+A6bw6/D1JZdJWz\nnFgmjyPLOL/f0pZJw/d+C3nVwbE+dD1dNqghO76kJ3ByXL2u5fHHH8dFF12ElpYW/Md//AfmzZvn\n3b4V/ivfiytAaR5YbR+JS1LVXtj8QZCBDWWgLd/rV7tt2oNWyq2sRGT0l0P66+MygmzLS02Tf9si\nVPrq9tr9lx8c/vIJVQJdH3steJksJzyv0p2WoC4dWUHxXW/50nKNNC8rD2m7woDCuVLe1olt5XNQ\ngcgQ2jVIr/ZxroVeYZSVQf5BC1Uq3F1k9eiH+rjySUbPaUoypVL4GPjcr3leXWgVV17hC1WAZNcQ\nD7HQWZYPhtE5tLS0YM6cOXjyyScxduxYHHHEETjllFNw0EEHqfuEFKABHZi/blYBMgzDMHwUqliy\nYaLZjfAKtVSsXR5slEYpNkYaMm6Wpj7yY4WiOTfE6/qwbaV3lK8yKRu5aeKqaRVbTYFyKT9aQ0Gm\n7YpGTmiectlE/J/uEA9oxYoV2G+//TBhwgQAwGc/+1k8/PDD3gqQ2QA50VQbn5qTpnACxQ60ocKa\npluL0F4YPnd7uZyg42SQdFUPCeUug+ZQ/n0vuzRdcKH2eZoirrl8u4yYS3k5y+EQZHh+mlJ3F+82\nk+oGKTQybf5hCRm5lmK0TnmLlZLKfoXV8pY2UjfBuHgqh++gDfsganfxj55UKuQ5uLp7tG5cLttr\nqqcWgJGub0P+N3WLDYwH3JV3hOe40JKUShpdizTPsUTeC64qSXVRpt82Ad//hGvtZV4B0oIE0HSw\nmM9Cd7UOGQ+7cinLleu9rZU1GbiUq+0yhIX2PXAppmm+IUTo/em7Q2lNEng3nabWatcxSXfoAlu3\nbh322Wef/PzYsWPx3HPPefcxLzDDMAzDMMqOVlSgPtGw3D30kApQE5KSrdbiTzM8hGYgx48jjXU1\nY2WeZkgWdcnMmgknxPIGhIN/tcdoMU1LuBTZtz1orVR5PFde0qRNrf+94yldz/ViniNbw9K42nWc\ntPmrFfO8DCjB6KribfgYnlIwy2ai6foR8VQzrOyLpAIEsa1LQfAZfPJ5Oj9ugCq3kabLLkeC4uMV\nBP5s/D9pG1QYKJXuuVQ6JGnUWS04pWsAZg1XcNGkS7oc3oBrq0PZsmhb+XxSOi6bMqmAaXZ2QFKB\nkaR57tMMBB0ayoXoB2AXonchKUAyuKdMX3YPUjppcD0X8nppASVdSql2fJ+CFlKcsgnFpzt0ge29\n995455138vNr167F3nvv7dkDiO5r2vAz7aNPpxzFMAzDMIyy4ogjjsDf//53vPnmm2hqasLChQtx\nyimnBPai+E7aX8fRTRWgNHY2oT51X1+sNu86NiGVH5dKEFID5Dw3dtNUD64eVSBqqWueaHKe5yfU\nq+pq4YTsajQ1zmUAmAbNw0krBz4lSLueXIUg+WSMmKf1vEUqz1Fr0boGzy1VPXKlL64BzfKxSTU/\n8bzpz17RZD3ZBK1haTej2F7JZ6tB+6QbfKK4lVzqkDYy8BunWB2j9m6xG7Bm36UdrxRVVr4LKpG8\n+KUolPrzxpUgraQXzlse2/ccy8CePFWpgncEPhuz0D3nz0Ariq1FNHslee5SbXXBewRC22jfId8z\nIctg6Pnhx5GelXJ9ge5gA9S3b1/ccsstmDlzJlpaWnDeeefh4IMPDuxVgc5SgLppBcgwDMMwjJ7O\niSeeiBNPPLGEPXwRvjuWbloBStNq0mrNvGYu7Qm0uC+u+ZCdC9XAXQqU1nKQLcZqJPviJbzF1AfF\nhUNOfcEapUdOKI9pbIHStJDk9fH1mftUG9dxuaeKzJsvIKGIOTM8ns/GtjJ5Uwf60YCkAgK2Dijc\nR2lrsB26q66mNmaRVKGEakV5BVstxQ55K0khWs8DLgJRuaqIEwm19nmiml0ClHmXAiRVP76tKw2+\nrVt5LI75Q8eRtj8yDV7mNJUIYrk8Fx4HSLsWcliSJse2+jF5q36gsAHyE1L2pK0jH6Q1LT7VXao5\n8v3ZhKQy6nu/tKLYgkO+I6SKk+ZdRaT1ekuzL99GUz/TqB20DV0j+b6pQvKedk4louPhdq4u3u+w\nI3XTCpBhGIZhGOVHBn4D9V5bAUoTSyFtX2vWsUw7jsu+QAbL0nrefXmWNX6qtfPWvNba1DwhXJGg\nNa8UmVYp8GPIVqPWOnd5yGkKnWuaNlq1b/gC7T65iNeR6Q8luy5WV7bsFy/YDPegihzZsuf5kvcy\njVKieV/FmW2MPSkaqgub+YI2A0zZcuUjFH7MdR/TtNTlcXyqF1/uup8hdcXX+pZodmvV0J8jmUdN\n5eTQva8VU7oZvpi3LgrnU/BwC9m/uTzNZP6kwuBTZNpj16Q9A2kicPOpVMNdUaCApNLHh0jSVHzf\n4MuSkNri+w5pZb3BkSdNyeRKc9guqGcQUoA0b8TS6WYVIMMwDMMwypeytwFKg6v/ncNb3kPYMj6V\n/f8umxLtuD6lQbNzkDE4uAJEyHGB6DjbEXnq5FBoRcp9tTGuSvFYc+2nhaTXPC5cnjSaEuSLlyEV\nOp93RsgDj7eoRAuvX7yOnKPoNr1wQHx43kpfpxxP5pGXMdlKlJG8CZ6mtP2he/5WPI3L0D/ikPLZ\nTLE5AE+OwhutpzK1RqzIIhoLrAHJFrrPxo4opcUcerHJffnJ+JWfZFycSnXbZH54OdSUyJCaydOX\nis96Mc/tyzRvJ+0YEk0RJlxBojTFmfDd3zTqt0R7r/L7IgeedsVZovm+iD6UclBdLX3Cpa6GFNk0\n70qfzajWe+F7Z8lrK2O/udJqy1Al3ZHOiwPUAytAaeVEbswYKhj84QkZdhKul6RW8ZEuuDVsKo8n\nKz48wFcrog+VDPteJaYEH39HStzSyNZHMkBb8fHTGE7LtFwfk7RGp/xc5Atdvmxc8rbozmqqLk5W\njhjxwkSgUUrQFIBNH8k7mX+ZR21Uav6x4BVgfty/F69/axywfq/iw+SHwpD7vBpP18TTXYgq1y4Z\nXZ6Dq7tHaxS40ggZhMo0+bx8NqLpQHVw1Cz00cdlYEAXoUqg61rI7k4ZqG+7sh0/XhZAHY477jgA\ndfGyjCefEtlFQEbuPJ0K+Mkhet/AMeXbaHmTIebkvjINfrwKMe3jWF4bH3dJvKxFHKdZyTs3ns6I\nqcyTNl8KGSSvOc1r+ejjWCbzQufbzKbNYpv25LsrMQXIMAzDyEMfsz5IVjxkZaOPmGaQ/PhqFSrX\nR7OUyhehVZbkPN9OqxBQ3vuy5fSnVeRoW1kp4JWLUN4IrfLm24eg6P0uZN75+cp7K6+NXN6H/abK\nUU/FFCCBrzaoGYv5WuI+g+a0XSkuQ0OtNSsVGi5Hy9azlGe5EWUzCl0VHGrxSZWH8J0XkUZqT2tU\nl8boVR7Xl75mbOu6fhDbymkjCq3xuHW+ee/iTagrjIS6agDPxMG7ttM1JjVFBm2T98anbPmUH5kO\nzW8Wy5malSUXebmO9riHpg8AACAASURBVFkTT0kBom4Zaj1yA+9SDH21suMyGtYGCw0Nq6EtS6bE\nzYS3qWs1Y1m+LnR8V36kkisVqFqxnetYlQCGYenSpchkhnmOKbtUfYFE015nXial4hYysvU9y6Fu\nc/7+lM4i3GSAlv8q/v3peCqvr29YjZC6r+XRt4+Gr4fAtQ3Nh+6pq6tVlq2eagRtCpBhGIZhGGVH\nyAus4+gFFSCqnbsuWCicv9b64tvIlpNmmOdKQ9qhuFoAlAdpNClbMlkUpFhpcCvVAWljwpfJaZqa\ndsiQOQ2ypZ0mH+1xv5Vp8BYhXadYAdkSGxI3xnmjW8tHyKBL+Yfx8T6UX1JRyDha2vW43GA1OzPf\nNZCtcJd7tQyqKVvF68WUrgN1E7jySLgCV2rBBDXFwJVuCJ+iW7zMnRs5RAnlST63fC95zUNDz7jQ\nnrf24ipPhPaOgmMf7T3Hl1N5cgVJlHlqK1wN12wnpYpHwwLxbbR7lSaPvh4BibbOpyaFjMZdqlzo\n3eBSGndXmets+iD9QLXtoxdUgAzDMAzD6B2YAiTwtXoIlxuy1nrWVAi+Ts7LFpJslZSCy9aD7Hhq\nxfI0rRAtzLyPkBeOa1nITig0hACQbE2W4mLqU+7kttq+3AaIVJtYEdk8vnjXMWJKuwPAM7HdUCIm\nl+++abYFvmsgy7V03eUqj2wxSzsBUnykisQppTzLZ4GQeea2RVpre/e48BYGCJXeXvL6DWbLtSCo\nMpyGK5BeWls7roi299zlcxlyeQ+t05bLZ1cL48DVHJ+dkMyHlm/pRUtUOLbRFC3N49KFS3XR7pH2\nvkmjXGoDm3JbOfksyTRcg8n2VOWHMBsgwzAMwzDKjrL1Agt5YPFt5ECnkjQDWIZaJ3yZy4OLz7vS\nk8eTqlEWSU8dGSKf2yb0QbFLpmYX4rIxkS0iGezGpd5orSnZ2oJju1DQL9e9SdsS5vu6g7Tlcu8A\nADKZfUXaDhsg8o5aMz6aSkerGgA0KoY0n3kpVoKyWsvP5UESKueuFqC8164yLWM8SZVDi4kDtK3V\nFVIcXMMgaNcpZGemK6GaxVEj+OChbSmPEldLXe7jUwBd+7pUuNC+pdjvhUhjlyLt97TAjTzfad6t\nfLlruI62nF9IWU6jqPtsdrQhVNpiU+nbRx7HHQOrd2IKkGEYhmEYZUfZKkASXlPW+kBlK5cvT6sW\nuWriWpwSV4vFlV9+XM17ohLF3kl8KltdlFYfhK+Fz7ZEqjeap4fr/DTlh+CteE3N8Q2rkUYB5Pvw\nmB5ynYSXE8U7akt8DdZUFy0ucsqQoUnIdGTLGLYxT7sSSY8+3xAYWr618u7aVovXotmGUbA2nxea\nhMdt0QwWixWnodiWX7Mtr8xoz5nLZsOtFlFaBXufgWx9yFZPa9H78LXc5TOYdhiZ9iA93doyVIzP\ndiX0XmnLubjeq1I5lHnhA7fm4A741xZlrxRCUc81BZP/1jycXNe++JoPjJ8heZTC89QbKHsFyCWf\ntsV4si0PbFu7AdJ8xOSDzddp58crQhkURxxNK5VzNBlfG0eMb0OkHWLEtY32QedDVIQMNNN3K+Vy\nbwAAMpkPse1k2IA18TQOEPjCEdG0hm1Gu1ClSA5bRC70jdKwkQco08YekvCuvZChtC+UgytdDt1z\nLVJtCK0yVmzQPzZ+aVcX5SCqrBSqRNr4ddIgmUPnOThO0VWZCnVhpxmfSb5rfPdEq6jKfXqj8aph\ndATmBWYYhmHkcalOUiWWjRvfRySNiiu3TaMwy+UdYa8kG45NKIzppVUwOwKfwheyYXMpWz47K45L\n2faP2UjqJ6e+x6pCZd8FVooMXUqBdxmmAm5Z0ydlutJw5TlkzFdK3psQHtxOe8DSuI2Xcg1C18Jn\nDKm9RBuVLgy+jdYV5n4BuLflHwk6Z5J1VsWzsfTz2Pho+io7tG/Ei6I0uQIgQxyEPgpZJNWiUj46\npXSxAcXKYlrjUX4B5EWJlLWR2AigODxjqDPO/1EIfUBcDgpSAdLCP6RRcOW8797ID7McBLWQhiy7\ndbmeOoilYXQEZd8FZhiGYRRsP2TjgCMVkgaxvBRcFdD2qCtpP2S+hlea44a2cdmThhqxvgaky5wB\nKFTC+XhmaeKjUd4obfpdW7RFvSgPvBrfezpQK1DmChDhMiCTyNZ0KQaAsiXnK6CajY4271rXHvfO\nNPiMUtNK3nwqX4Zy2BEpy7rsGvx2WC6jPl0JKt7XbzhdTC63GgCQyRyIpME3VwyA/Hmvj22E1o9D\nIsjg4EzxLgn4C0wb3kRT1LidUtrXmutapO1+aIvikEUyaGekcoyN7x+ZUPEOGnkF3MM2+I7JkeXc\nZc8mhweRHyOfTY52XKljuWRBqQAVK3ryA2YYBmEKkGEYRtkju8cGoh71GJpy7zQVYK1R5urGTuv5\nlAaXQb5mmO5zipAN3pDqxbUSTeFxdZO6PNGA5DWWI9cPZstkJT9pBlBYro23Rgb/Eb6u/7BZQHel\nTI2gc7k6AEAmMypeUootkBYy3LePq2UnC3TI48klrcqbpwVP5FJnyCbB5QWmqVC+gVo1JUt76biQ\nFhyuQWc1V+ywhEvLCkpQR7YGGuAfCgVIDlC7BoUXWjzdPj7eVb7U5CClm5EciqIUxTGNxxhNtXAP\npaiVGtIICqBzHRjb+ogrJLaKLK22YWQ8JwNxhvBdB82TsRq695fc13UcrVzIdw637XKFYyyUZd9r\nfYPD9ke+DSJVNGQT56owaLZP2vPv8srUFHNfeU5baXIZC/uCz1bA7xGbpmdA4huAU3s/y7zSlOJj\n1KBQ1mWZ15RE19AxMohpdFzeJSrfqVt7rC1ZBjYYqmEYhmEYZUaZKkCloQ1YyGvmWgtOksYDRMqm\ncn0VdFsfnwdK2MMpIo0XmEzfpwSFcNlCuJQe17TJsSyiFNuHdDZAcls/udw7KRRGSpd7b5GusX/x\nvo3jxb7SyqXRscw9fIef0L1wW9gUE1JD+LJQy70w9Aa1deVwo5Sb1/L3ZgyS+lA6W7F0+NSdtNfa\nZX+leX1J259sYtuhDqVT8o6npU6t+GGZyOYs6gLTngsJfx/Id5CMmeRSJ6RySYQUxjS47odLwePz\nPlUgZOfpI6R+u7rN0iq0/aC/h2V58tlfStJ4L/ZUzAbIMAzDMIxyI5MB+loXmECzXZFGaT6XRX+a\nxa0rbV9p/FbKjXIpGVorUzs+T0fbVrY0+jmWafDWndZHrS0v3V3WZXGRPg5QUuUjOzI/IdsG1zAG\ntE5rldK2m8WUD8obUtCIUmyDuM1RsReWzNn22OOuHmPjJT7Pq7Ar8kBxHGmt8FreWJdUszEsXWnv\noF0bX55CNjBZJMusFlmaqzhaOSe08l54dqTSqV3pN1LaabifKJedoGt5Jdzu2Txncr6BLQspvmkU\ndO3ecdUn1Ornz2MOUTDEkFLZHkWR76OVhZCKXOvYRnvv8LzJUAZpI8P3AjpPAOpJFSDDMAzDMHo1\nnRcIuntWgHK5DQC4N5iLkE2Eaxv/8mL1R7P9kTFkeKtE1uylWuRqSZYa74Ujq8la/zSPoqspF7Kl\nVgs9zkkoSrHLfihCs9Vxq29aM8DleZf++hW8DQeJfbUWtWtMKZdXFJCMjdOYIm8u5UJTN3RbGbI3\nkW19WcLqE4Nn0rACPpKtVplDSvX/8srPQWI6BAVlTJYhLcR2Gtsd33MeUh4Ibtcjr5im+OiqmDyq\n1J3aEqIQCNm6+TxVpZeS9ExyKUKaWidJ8+xxW8m028rrz8tgCyIVKHRs13s6pLK7VMLQHdNsQ7kt\nlVaWXe9Vee6uwb7dru491/srxhSgiEJFaJhjbUii5x+m9hiMaZUXud5lBC339XWBaRUh+crMePIq\nH1J+XEpHG5CTS7Za3rSugfbIzOTOOTSxTJ9Ppp+u66sY+fIofFxcgRJlBYioFdvK68jxdVFItGsq\n7yORbDLJ8VoLOZIfmD5Iup7Kj0DSMFjmupD+mHi6v5g2Idnl1SCmWuWCl0ft7egbbFZrLLjOU+sS\nDXf5UBka6vgw8ZR8hs+GUdaUuwJkGIZhhNAqYlKN6MeWSZsfzRYIKC22GlDcAEvjWaWlLRsRrn2b\n499Ucd4dRrM+1YjnxTUtJQ1Z0eYqZKhh0AsxBUji6+pIc6W0BzmsLCSXaUpQE/RgY2kIFWwKhNgW\nsghLuPJBc7lVh9yDI9zdWWnoiPuTnjqHizHAAy/yayEVIClRy+WckDF3KecgXWYLZW5brKJVxsbO\nuibqK5/pDFEHYlvCcXpbkbs7UHB55w4LUk10d4W5x75ydRX6cJ1L6EPp+2CF7xPlW9uzx3dPGMbu\nJhQGqAMfoR5SATIMwyhfqLJesFvjaBUzl32iFqtMViqbkKyspj0uP7amBLlsZjQ1x9XobRXr+olp\nGtJaYvkaNVqUf36eIQ8uV5erZmcZ0XOHuUhBKBD0ro47VI+oAOVydcqDD/gfQq2g6S1IrWAVWqKa\nAV11qvSTaLYJru3kUBghso7fWvouVaftsmv4OsrjprGDSdIW2x/tKHoIhEYUrpsczkIad7rGVpIf\nmfQ2JXpuZdpD8r835rUZaXypBULkymKoDGfzKSW30D6uSVd9zf3dNfYVkXwG26IAafuWYoelP9+U\nR6kEdZKibxidwurVq/H5z38eL774Ir797W9j7ty5zu0WL16MuXPnoqmpCZMmTcJPfvIT9O0bqHaE\nFKAOrACFXD8MwzCMXg91T9bGf5vZb/rLij+iCe4BRcl7kv9xeyROKD2+vAGRFxjFAco69pHH4fNa\n+vL85Hm6oPOqRmHsuSpEDRJqlMi8ULqNKNj7NLB8pT12MXW5XF4p3N0MHToUN998s1rxAYDW1lbM\nmjULCxcuxCuvvIJx48bhrrvuCidONkDaXwfSIxQgwGUT0J62VbhgyVSTHkMEVVX5IJsSn2uvlE6l\nTQmHCndoFGNXS1+2+jW7FJ8s7L5u8trwayf3cNt26GknUyyQy2317JMevXuBqwWa7ZfcVl57QPfA\n02yq2uLyXYXkYBTSmDSN6qEduziP7q1kGdosltOHFNBtgPRclCr7u+3QQs9+xxiZakpQe/Gr4WnK\njexS2S62491etE4rn5qqzMNuaPgUN21ffpwMova7pjq25Vkq5R2kDXfkc1/S7oG2Xs+TLF+dzYgR\nIzBixAg88sgj6jZbt25Fv379cMABBwAAPvaxj+G6667D+eef70+8Ap3mBWYKkGEYhmEYHcrw4cPR\n3NyMF154AQBw//3345133gnvaApQEr8RIKftbS1fbVrv9XfV1ounWkyQLHj8G9onjRIUUn5crRIt\njo2E0tqOtK1lX2tEu27uGDyaQlG8vKOUnyRpWou+mE6hNKXnmOZdlyYfsuVLsjuQbD7JQS1LsZvT\nWqnJK1KAlIP1Iq9cAWq7UWcpFnbpaY8dVhJ5Pp3TNSGVBX6HpNu738ar0CXD05No5dRl/+YbgFfD\n561YgWJ/aemFKdVInpYWj0vieh41xUc7P+qe4+mlGRLH73HbNeWrNDKZDBYuXIiLL74Yu3btwr/+\n67+ioqIivGMnxgEyBcgwDMMwDC8/+MEPMHHiREycOBHr168P7wBgypQpWL58OVasWIFjjz023x3m\nxRQgncIwBjI6tF6b1+1OdEr350oarZHy4xt8gmK2bEvYNlFrnttItARyI4/ESWfbkRyEz5WG++q0\np2z6vX0iOsLjKx3yTHgcIBlXOeSRxNPSoh/7IhjLfSW85SmHNdBawbIlSuXKZ+eUTcwlnaSlzZHM\ns2uYCfc5+56/tFpNmnhUbXk3pIHS2x1lltIclCmOC6Z7yZGxLZCMiabZzvB1Ls9GFz4FU5YF353V\n1ByeZ1ISpFTQFg/cUmyBZEBJ7Znj9yBtHDXudaqpRV3HnDlzMGfOnJL22bRpE0aMGIFdu3bhO9/5\nDi677LLwTiEvsA7EFCDDMAzDMFKzYcMGjB07FjfeeCOuueYajB07FnV1UcX8xBNPzCtECxYswAc/\n+EEceuihOPnkkzFjxoxw4hQHSPvrQHqcAkRodiAuG6G0rbt6DEz0rbal3q0pP1DmAVdLVNqa9EMh\n+JcMTFalLCd4P7Q2QKvLK6e0Voiv/VdKu6zzlB553KhM+Qfh1YK1af36/Gpo1zo0WKIrXUkldE+U\nkPdZLv7Tyg/fJ02OpMLF9yjtiWpP5OSwvWDH0lXlNolU4oCkiiLLmG9e21e7l9kU20hc6mMoz74x\nEzSVhT8n2rYu6DjkaakNLutSdbS8+BQh9zo52G5XRRYfNWoU1q5d61z36KOP5n8vWLAACxYsKC3x\nTlSAemwFSMP1EpIvQlnZcHW/lC6NZ1VDTq3zgn8Oko+xa4gF6qrwpajNUzpkCCsHudRGfPel6zbI\nS/P6k9e5OxrxFaOdiYx463rh0tWQ17iUcX7c17q+qIIsXZopT7XKlKCRtdN3gTXCVWalkXc4HWJ3\n3P/uUyExDCM1NhaYYRiG4YMqjYMSY9nJRhu3YZNeTG2xg5G4PAe1hoGmvvDfae1eXF/K9tjOUFpS\n5eWeY3LbNF9qTR3WhrvIJraVyk8n1Q+6BhsNvmMJtQTpBeJTe9oSwK8tr5DkcaQSxLsq/EbJxY+L\n1rrXWu1cupXbFiPVnEr09EEf29Lx6TJkBIpf+JoU3hEfH35/Ndd1+cKlqRxXyXcc35LwGkmvHtPI\nMIzSMQXIMAzDSIP8VuhR6/nW0gtMwu0G/V3g7u1kpVsqP6VEIZdUIZIJeMjgUGOiFEVI8yxz4bOD\nkuulbZavC9yv/Gzo0Q3MAGYD1Llw+wOyF5JKT1vcZNM8anIb/TiNSLbUfUazgNtWKGS8q+VMW9aT\n7HjSUTCGlqEWgPTqhms7/yCoLpUxvULCDSdLO25hiJW2udq23W6u95QZwzA6iD7ocG8vDasAGYZh\n9GCou3lY3JUvm0NDsS2ONgYUDOVljJ/BYh4oXfnxGfPL7ldXJHMZTVnOD2HTvogUIFom45f5GnQy\n/xo8j5qtkcvjji/nMZhkHDB3/C/e6Ckr5YcwBajr6C6eIzRq7qhRkUt2Q0MDrrjiCmSz2bxbYXNz\nMwDk3RG//OUvd0FOey+7b8gNP9/97ndRU1MDABgwYAAA5EPIt7ZGKuD7778PANi2Lfq01dXVoX//\n/gCAww47DAAwevRoAFFIeqBQXnLiJTpr1iw0NDTg0ksvDQ9UaHRbNAPZLICBcRWoPrGVDJbJKx1a\nAD+I+WTFR3bd0JqCOujrgtNczGlaE+9fgULFTXpaaqq4y0NRnpesgPFt5P6aCs9t8+j6uQeX9Q0m\n7VvWazEbIMMwDMMwyg7zAjNmzZoFAPj5z38OAGhqakI2m0VLSws2btxYtK0pP70PUnpaWqLYT6Ti\n0PyuXbuKpgAwcGDUuq6ujt4effq4A71TWrS+tbUVLS0t+UiuRs+Eukf2ie8vd0AvNKi1GE0ykF8l\nkspO+gE6NZ2pMt6mMPQPKU+DkVR8asT8GLa8PyIFiLah+GahwIj8mJp64xu4VSpBUnFyxfzazn4X\n1pWi/LxTDl1fhClAhmEYhmGUHaYAGcQ555yT/3333XcDAGbPnt1V2TE6gYsvvhi33347AKBv3+gR\nJeWnqSlqvTY0NBQtHzx4MIYNi7zWyBaIlB5Sk8j2Ry7PZrMYO3YsLr744t14VkZn4zLxLXjqURNb\nG4bFFb/KbROUxlNRc9WvLzK+lgOMSuWHK0D9EH0paRtSgEI58Hk6pnF3l4bMoe0bII2dQ8oPny8L\no2eJKUCGYRiGYZQd5gVmGOVNfX3USiSFh5SgbDZqRTY2Rq3KPfbYAwAwYcKEvO0PbUtKj1R+yPaH\nbH4oTaN3QPYio+L7Dbi8sDQPLjkcBMc/PIPcqnTSeH/RfF9EX0pCDrmh4ZMW+inb8KCQUgXTKFyr\ngSwIgSt1V47KUvkhOrELzG0l2ctYsmQJPvShD2HIkCEYNmwYTjvtNKxbty6/fteuXTjvvPMwaNAg\njBo1CjfeeGMX5tboLli5MAzD6GSoC0z760DKQgE66KCD8MQTT2DMmDHYtWsXLr/8clxwwQX49a9/\nDQCYP38+/v73v+Ott97Chg0bMH36dBx00EE44YQTujjnRlfSleXikksuKZq//vrrAQCXXnpp0XLy\nEqS4QUCxdxdQUJEIWk7ehGPGjIHR+9jABkvVonNr9ju+aN5DlRg/RKVjWTh9/nWTSoxrGI0+iCLj\nSw81Lbgh99JyDd7qmnKk8uO265FR0fmRjZTwEU52M91OAVqwYAE+9alPFS378pe/jIsuuqjNaY4c\nObLoJV9RUYF//OMf+fm77roLl19+Ofbaay988IMfxOzZs/Gzn/2szcczup433ngDQ4cOxYsvvggA\nWL9+PWpqarB06dLUaVi5MAzD6HwqKvS/jqTbKUBnn3025s+fj9raWgwZMgTNzc1YuHAhHnvsMfzn\nf/4nfvnLXzr3+6d/+if85S9/UdN9++23ceihh6Kurg4VFRX48Y9/DAB477338O677+aj5wJRJN1F\nixZ17IkZncq+++6L73znOzj77LPxwgsv4POf/zxmzZqF4447LlU56m7lQio/xJ577gkA6NevXz7S\nM0FKD0HRpLdujSJcr1+/vqOzaXRD6nK5/BiHGsnhM3TPLi3GD7cQSm8X5Iq544tpDURxdZoBtKDg\n/SW92bQYP77hL3wDqhYrP3R9pDZVFS9PYwel2QKVVcwfB3yAk91Nt6sAjR49Gsceeyx+9atfYfbs\n2Xj88ccxfPhwTJo0CZMmTcKtt97apnT/6Z/+CbW1tdi2bRt+/OMf48ADDwQA7NixA0DkRkwMHjw4\nb4TanZg4cWJXZ6FHMXv2bPzmN7/BUUcdhUwmk+/yvPXWW4PlqCeVi/Zi5cowjO5CHwB7dNKxul0F\nCIiiIN92222YPXs27r77bnzuc59Lve/y5cvx8Y9/HAAwbtw4/PWvfy1aP3ToUMyaNQuHHXYY1q1b\nlx9rqa6uLu9RU1dXl4+q25246aabujoLPY7Zs2fjlFNOwe23356Pj5OGnlIuKG886jMpPzIS9M6d\nOwEA77zzDgDgggsu6IwsGj0QX1Rin68UEGksoVHD3LqRtrUcQ2szgJ2IFKD1bBmQVIKkt1ajY50c\nrDTpIUc2PXLIWHkN5NFK8Ygrd+WH4CO87W66nQ0QAJx66qn4y1/+gldeeQW//e1v8e///u8AgC99\n6UsYMGCA8+/ggw8GAEydOhU7duzAjh07EpUform5GZs2bUJdXR322msvjB49Gi+99FJ+/UsvvZRP\nz+i57NixA1/5yldw/vnnY/78+fmBQ9OUo55SLvr374/+/fujT58++T+NTZs2YdOmTTjzzDNx5pln\ndmIuDcMw0kEKkPbXkWRycmjobsLs2bPx3HPPYfjw4Vi8eHG70nrwwQdx8MEHY//998fWrVsxZ84c\n/OMf/8gbyM6bNw/PPvssFi1ahI0bN2L69Om48847zQush3P++edjx44duPfee/GFL3wBtbW1uO++\n+1Lv3xPKxe9+9zsAURcvRYmmSpD0BqPQDzNnzuzsbBrdBGkLpEUldlnkhHyziCySGorUVjbmvcCo\nrb83gHHxbx7xGUhahDQCuA2RHRA9i7VsHeBXd+QyGpsraiBJVacKSUslTf1yHU0ba54o65g/DgYd\nfjiOeOEFdf32ww/HC571pdAtu8CAqBvsjjvuwE9/+tN2p7Vu3Tpccskl2LRpEwYOHIjjjjsODz30\nUH79VVddhQsuuADjxo3Dnnvuia9//evd6iNnlM7DDz+Mxx9/HC+//DIA4MYbb8TEiRPxi1/8Iq8o\nhugJ5YK6wIBkoEOaf//99wGgKPaVUZ7kclHwy0Fx2XC5bQNuQ2YNWTHiYQPp40+VJaogjIyPVxjW\nuRqFytAQsTUdgVLdHqfcjELXVwNbx+eTlR1Z0aG80VEIXtmRlUBCM6lO0/VlFR83GfiVnu2edSUf\nq7sqQG+//TYOPPBAbNiwAYMG+T0YDKNcWbZsGQBgxIgR+YjO5O1FFSAy6KbK4HnnndfZ2TS6GVoF\nyOeLpSlAaSpAhNRnCkrQGBQUoPHxVCpAvAJ0D6IK0GSRYtdUgLTR0vg6ma5VgNwMO/xwnOBReF7r\n7QpQa2srbrzxRnz2s5+1yo9heKBhL3K5XL7CQ1AAxPfeew+AVXyMAnX54VGK36/bHIqQpmZoH3ZX\nwF7plF5YT0pQLZJDYFQpe1Ui0gl8o2ZSVSTqGhsaV3qqkL4rj+CVHs10W3b1udhqFZ5UZACkd1dp\nH92uAtTQ0ICRI0di3LhxePzxx7s6O4ZhGIZhdBJlHQeouro6L9kbhuHn6KOPDm5zyCGHdEJOjJ4I\n2QQRpAjxoSpIDWqEG6nB9INuLKzrNRtRn19brUyHsPlKRJ9KOYyL26Wda0vaKAva0B5Njt9S+WkQ\n8xxTfkqj7OMAGYZhGIZRfpS1AmQYhmF0DaQIbdiwEaNHHwQgaShdPAxoUjmpgm44nRXLab4GQH3e\ngJlc2jeztZQyze8BIAdgf3EGlDv6hG4vOp4PTflxubL7FB++3NSf0jEFyDAMw+gyRo0a2dVZMMqU\nso8EbRiGYbSPJUuWYPr06Rg8eDDGjx+fWP/MM8/gyCOPxMCBA3HooYfij3/8Y9H6XG4rcrmtIL+u\negxEPQZiW/zXCBT9NcR/rmX01yT+OENRHw8yWhv/yb2IIYja7pWI1CD+Nzj+qyz6o5SySOZB5pGO\n7joPuS4r/jbkctiQy2Fr/GeUTmdGgrYKkGEYRi+kuroa5513HhYsWJBYt23bNpx88sn42te+htra\nWlx66aU4+eST8yETDKOrIBsg7a8jsQqQYRhGN+Tee+8tGqeuf//+OO6441Lvf+SRR+Jzn/scJkyY\nkFj3zDPPYNSoUfj0pz+NiooKnH322aipqcGDDz6Y2JaUoFyuLrYRKlaEpArClRL62678kZJSrAZR\nSnJv2roWURDEpJU2hgAABNVJREFUNApLlFeeP5mapmTxP7mNPGdTfDoOigRtCpBhGEaZcsYZZ+QH\ndl6/fj0mTJiAM888E//93/+NIUOGqH9pkYMA5HI5vPLKKx19GruJfwawb1dnwtgN9EXnKUBmBG0Y\nhtGNaW1txVlnnYXjjjsOX/ziFwFEA/W2hylTpmD9+vW45557cPrpp+OXv/wl3njjDTQ2atF+CkR2\nQUAmMwxA0kuMjyMm4+VoFHtayYElaAw78gJrADAF0efwrXjZZrGP+8gNCOPKKy2jc5Xxk8qNhx9+\nGJdffjn69OmDvn374qabbsIxxxxTtE19fT2mTp2an1+7di3OPvts3HTTTd60Q2OBdSRWATIMw+jG\nXHbZZaivr8fNN9/cYWkOGzYMDz/8MObOnYs5c+Zg5syZOP744zF27NjUaVBFiBjEhmKRFQaqHGnz\nETJ8IqVClRtyZic3+SGQQ14kK0IRNMTH0BRDfEjqMbDsKzySj370ozjllFOQyWTwl7/8BZ/5zGew\nevXqom0GDhyIVatW5ecnTZqET37yk8G0O9MLzCpAhmEY3ZSFCxfinnvuwfPPP4/KyqhicO211+La\na69V90kbSX/atGl4/vnnAQDNzc2YMGECLrnkkvZn2uj1DBgwIP+7oaEhMQ6h5PXXX8emTZuKFCEN\niwNkGIZR5qxcuRL/9V//hSeffBI1NTX55d/85jfxzW9+M7h/a2srmpqakM1mkcvlsHPnTvTp0wf9\n+vXLp3/IIYfg/fffxxVXXIF99tkHM2fObHN+6xxGwK6hNVzz7kEy+OjvQEGziQazyOX+pOYlk9nH\nuXxb4rjJY0tly3Dz0EMP4Rvf+AY2bdqERx55xLvtwoULccYZZwQrSgAwcvhwHH/44er64cOHl5xX\njUxOWsIZhmEYXc78+fNxzTXXYI89Cu3hqVOn4rHHHku1/9KlSzF9+vSiZdOmTcPSpUsBAGeeeSYe\nffRRAMAJJ5yA73//+xgxYkTHZD5GjjavU+n4LeNJkw1QKRUgaRMUOrZVgEpl2bJluPrqq/HUU0+p\n2xx00EH43//9X0yaNKkTcxbGKkCGYRhGl0IG1RyriHQvfvCDH+DHP/4xAODRRx/FmDGFgWgnTJiA\nFStWONWZl156CZ/+9Kfx+uuvd1pe02Ju8IZhGIZheJkzZw5WrVqFVatWobGxMR9G4cUXX8SuXbsw\nbFiyEgsA99xzD84888zOzGpqzAbIMAzD6FJM7elZPPDAA/j5z3+OyspK7Lnnnrj33nvz9j0TJ04s\n8v6677778l2t3Q3rAjMMwzAMo+ywLjDDMAzDMMoOqwAZhmEYhlF2WAXIMAzDMIyywypAhmEYhmGU\nHVYBMgzDMAyj7LAKkGEYhmEYZYdVgAzDMAzDKDusAmQYhmEYRtlhFSDDMAzDMMoOqwAZhmEYhlF2\nWAXIMAzDMIyywypAhmEYhmGUHVYBMgzDMAyj7LAKkGEYhmEYZYdVgAzDMAzDKDusAmQYhmEYRtlh\nFSDDMAzDMMoOqwAZhmEYhlF2WAXIMAzDMIyywypAhmEYhmGUHVYBMgzDMAyj7LAKkGEYhmEYZYdV\ngAzDMAzDKDusAmQYhmEYRtlhFSDDMAzDMMoOqwAZhmEYhlF2WAXIMAzDMIyywypAhmEYhmGUHf8f\nf97o5Fq3elUAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x116da5d68>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from nilearn.plotting import plot_stat_map\n",
"import matplotlib.pyplot as plt \n",
"\n",
"%matplotlib inline\n",
"\n",
"# We'll fetch a total of images specified here \n",
"numberofguys=5\n",
"\n",
"for i in range(numberofguys):\n",
" #pick one guy randomly\n",
" im_ind_rand = np.random.randint(len(paindata.images))\n",
"\n",
" plot_stat_map(paindata.images[im_ind_rand],title=paindata.images_meta[im_ind_rand]['name'])\n",
" plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[ -2., 0., 0., 78.],\n",
" [ 0., 2., 0., -112.],\n",
" [ 0., 0., 2., -50.],\n",
" [ 0., 0., 0., 1.]])"
]
},
"execution_count": 96,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from nilearn.image import load_img\n",
"\n",
"load_img(paindata.images[0]).affine"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3.375"
]
},
"execution_count": 97,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"3**3 / 2**3"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Issue ex : \n",
"\n",
"- \n",
"\n",
"\n",
"Issue on the fly resampling in the neurovault downloader \n",
"\n",
"- add a resample = true option , would resample on the FSL standard affine before storing the images (temporary download, resample , storing the resampled version only) \n",
"- cached resampling"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Building the y vector using the Pain Levels"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"y = [curmeta['PainLevel'] for curmeta in paindata.images_meta]\n",
" "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Resampling on MNI downsampled 4x4x4"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/nicolasfarrugia/miniconda3/envs/tf/lib/python3.6/site-packages/scipy/ndimage/interpolation.py:478: UserWarning: The behaviour of affine_transform with a one-dimensional array supplied for the matrix parameter has changed in scipy 0.18.0.\n",
" \"The behaviour of affine_transform with a one-dimensional \"\n"
]
}
],
"source": [
"from nilearn.datasets import fetch_icbm152_brain_gm_mask\n",
"mni_mask = fetch_icbm152_brain_gm_mask()\n",
"\n",
"target_affine_4mm = np.diag([4,4,4])\n",
"\n",
"from nilearn.input_data import MultiNiftiMasker\n",
"\n",
"mymasker = MultiNiftiMasker(mask_img=mni_mask,target_affine=target_affine_4mm)\n",
"\n",
"X = mymasker.fit_transform(paindata.images)\n",
"\n",
"X = np.vstack(X)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Straightforward decoding by applying a K-best Anova followed by an SVM regressor"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 0.66666667 0.5 0.5 0.53333333 0.6 ]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/nicolasfarrugia/miniconda3/envs/tf/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:113: UserWarning: Features [ 1765 1792 1819 2377 2403 2430 2431 2459 2460 2488 2489 2512\n",
" 2532 3059 3085 3086 3113 3114 3141 3142 3143 3170 3171 3172\n",
" 3195 3196 3218 3219 3239 3771 3793 3794 3814 3815 3835 3836\n",
" 3837 3859 3860 3861 3880 3881 3882 3902 3903 3904 3924 3925\n",
" 3926 3946 3947 3966 4525 4546 4547 4568 4569 4570 4588 4589\n",
" 4590 4607 4608 4609 4628 4629 4630 4649 4650 4651 4670 4671\n",
" 4672 4695 4696 4718 4719 4913 4937 5246 5267 5268 5290 5291\n",
" 5313 5314 5315 5338 5339 5340 5364 5365 5366 5389 5390 5391\n",
" 5413 5414 5415 5439 5440 5441 5461 5462 5482 5483 5506 5669\n",
" 5691 5991 6013 6014 6036 6037 6061 6062 6063 6087 6088 6089\n",
" 6110 6111 6112 6134 6135 6136 6155 6156 6157 6179 6180 6181\n",
" 6203 6204 6224 6225 6247 6738 6757 6758 6780 6781 6806 6807\n",
" 6808 6833 6834 6835 6860 6861 6862 6890 6891 6892 6916 6917\n",
" 6918 6937 6938 6939 6961 6962 6963 6987 6988 7008 7498 7517\n",
" 7518 7543 7544 7571 7572 7573 7600 7601 7602 7629 7630 7631\n",
" 7658 7659 7660 7685 7686 7687 7688 7713 7714 7715 7716 7736\n",
" 7737 7738 7757 7758 7759 8251 8275 8302 8303 8330 8331 8362\n",
" 8363 8364 8393 8394 8395 8423 8424 8425 8426 8451 8452 8453\n",
" 8454 8483 8484 8485 8486 8511 8512 8513 8514 8541 8542 8543\n",
" 9103 9131 9161 9162 9193 9194 9224 9225 9226 9257 9258 9259\n",
" 9260 9291 9292 9293 9294 9327 9328 9329 9330 9361 9362 9363\n",
" 9364 9395 9396 9397 9427 10131 10132 10162 10163 10164 10195 10196\n",
" 10197 10198 10230 10231 10232 10233 10265 10266 10267 10268 10300 10301\n",
" 10302 10303 10304 10334 10335 10336 10337 10338 10365 10366 10367 10368\n",
" 10395 10396 10397 11155 11156 11157 11187 11188 11189 11220 11221 11222\n",
" 11252 11253 11254 11255 11284 11285 11286 11287 11288 11314 11315 11316\n",
" 11317 11318 11344 11345 11346 11347 11348 11374 11375 11376 11405 12112\n",
" 12113 12114 12144 12145 12146 12177 12178 12179 12209 12210 12211 12212\n",
" 12241 12242 12243 12244 12245 12271 12272 12273 12274 12275 12301 12302\n",
" 12303 12304 12305 12331 12332 12333 12362 13074 13075 13105 13106 13107\n",
" 13138 13139 13140 13141 13173 13174 13175 13176 13208 13209 13210 13211\n",
" 13243 13244 13245 13246 13247 13277 13278 13279 13280 13281 13308 13309\n",
" 13310 13311 13338 13339 13340 14029 14057 14087 14088 14119 14120 14150\n",
" 14151 14152 14183 14184 14185 14186 14217 14218 14219 14220 14253 14254\n",
" 14255 14256 14287 14288 14289 14290 14321 14322 14323 14353 14958 14982\n",
" 15009 15010 15037 15038 15069 15070 15071 15100 15101 15102 15130 15131\n",
" 15132 15133 15158 15159 15160 15161 15190 15191 15192 15193 15218 15219\n",
" 15220 15221 15248 15249 15250 15782 15801 15802 15827 15828 15855 15856\n",
" 15857 15884 15885 15886 15913 15914 15915 15942 15943 15944 15969 15970\n",
" 15971 15972 15997 15998 15999 16000 16020 16021 16022 16041 16042 16043\n",
" 16526 16545 16546 16568 16569 16594 16595 16596 16621 16622 16623 16648\n",
" 16649 16650 16678 16679 16680 16704 16705 16706 16725 16726 16727 16749\n",
" 16750 16751 16775 16776 16796 17275 17297 17298 17320 17321 17345 17346\n",
" 17347 17371 17372 17373 17394 17395 17396 17418 17419 17420 17439 17440\n",
" 17441 17463 17464 17465 17487 17488 17508 17509 17531 18008 18029 18030\n",
" 18052 18053 18075 18076 18077 18100 18101 18102 18126 18127 18128 18151\n",
" 18152 18153 18175 18176 18177 18201 18202 18203 18223 18224 18244 18245\n",
" 18268 18431 18453 18760 18781 18782 18803 18804 18805 18823 18824 18825\n",
" 18842 18843 18844 18863 18864 18865 18884 18885 18886 18905 18906 18907\n",
" 18930 18931 18953 18954 19148 19172 19483 19505 19506 19526 19527 19547\n",
" 19548 19549 19571 19572 19573 19592 19593 19594 19614 19615 19616 19636\n",
" 19637 19638 19658 19659 19678 20228 20254 20255 20282 20283 20310 20311\n",
" 20312 20339 20340 20341 20364 20365 20387 20388 20408 20946 20972 20999\n",
" 21000 21028 21029 21057 21058 21081 21101 21650 21677 21704] are constant.\n",
" UserWarning)\n",
"/Users/nicolasfarrugia/miniconda3/envs/tf/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:114: RuntimeWarning: invalid value encountered in true_divide\n",
" f = msb / msw\n"
]
}
],
"source": [
"from sklearn.feature_selection import f_regression, SelectKBest, f_classif\n",
"\n",
"from sklearn.model_selection import cross_val_score,train_test_split\n",
"\n",
"from sklearn.svm import SVC\n",
"\n",
"featureselet = SelectKBest(score_func=f_classif,k=2000)\n",
"\n",
"lowdim = featureselet.fit_transform(X,y)\n",
"\n",
"from sklearn.preprocessing import StandardScaler\n",
"\n",
"lowdim_sc = StandardScaler().fit_transform(lowdim)\n",
"\n",
"cvscores = cross_val_score(estimator=SVC(),X=lowdim_sc,y=y,cv=5)\n",
"\n",
"print(cvscores)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Just run on one fold to visualize the weights "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from sklearn.preprocessing import StandardScaler"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"pvals = featureselet.pvalues_\n",
"logpvals = -np.log10(pvals)\n",
"\n",
"plot_stat_map(mymasker.inverse_transform(logpvals),cut_coords=8,display_mode='z')\n",
"plt.show()\n",
"\n",
"\n",
"plot_stat_map(mymasker.inverse_transform(logpvals),cut_coords=8,display_mode='x')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 109,
"metadata": {},
"outputs": [],
"source": [
"aff_standard = np.array([[ 3., 0., 0., -90.],\n",
"[ 0., 3., 0., -126.],\n",
" [ 0., 0., 3., -72.],\n",
" [ 0., 0., 0., 1.]])"
]
},
{
"cell_type": "code",
"execution_count": 112,
"metadata": {},
"outputs": [],
"source": [
"y = np.stack(y)"
]
},
{
"cell_type": "code",
"execution_count": 122,
"metadata": {},
"outputs": [],
"source": [
"ind_lh = (y!=2)\n",
"y_lowhigh = y[ind_lh]\n",
"X_lowhigh = X[ind_lh]"
]
},
{
"cell_type": "code",
"execution_count": 123,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[ 0.83333333 0.83333333 0.75 0.7 0.7 ]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/nicolasfarrugia/miniconda3/envs/tf/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:113: UserWarning: Features [ 1765 1792 1819 2377 2403 2430 2431 2459 2460 2488 2489 2512\n",
" 2532 3059 3085 3086 3113 3114 3141 3142 3143 3170 3171 3172\n",
" 3195 3196 3218 3219 3239 3771 3793 3794 3814 3815 3835 3836\n",
" 3837 3859 3860 3861 3880 3881 3882 3902 3903 3904 3924 3925\n",
" 3926 3946 3947 3966 4525 4546 4547 4568 4569 4570 4588 4589\n",
" 4590 4607 4608 4609 4628 4629 4630 4649 4650 4651 4670 4671\n",
" 4672 4695 4696 4718 4719 4913 4937 5246 5267 5268 5290 5291\n",
" 5313 5314 5315 5338 5339 5340 5364 5365 5366 5389 5390 5391\n",
" 5413 5414 5415 5439 5440 5441 5461 5462 5482 5483 5506 5669\n",
" 5691 5991 6013 6014 6036 6037 6061 6062 6063 6087 6088 6089\n",
" 6110 6111 6112 6134 6135 6136 6155 6156 6157 6179 6180 6181\n",
" 6203 6204 6224 6225 6247 6738 6757 6758 6780 6781 6806 6807\n",
" 6808 6833 6834 6835 6860 6861 6862 6890 6891 6892 6916 6917\n",
" 6918 6937 6938 6939 6961 6962 6963 6987 6988 7008 7498 7517\n",
" 7518 7543 7544 7571 7572 7573 7600 7601 7602 7629 7630 7631\n",
" 7658 7659 7660 7685 7686 7687 7688 7713 7714 7715 7716 7736\n",
" 7737 7738 7757 7758 7759 8251 8275 8302 8303 8330 8331 8362\n",
" 8363 8364 8393 8394 8395 8423 8424 8425 8426 8451 8452 8453\n",
" 8454 8483 8484 8485 8486 8511 8512 8513 8514 8541 8542 8543\n",
" 9103 9131 9161 9162 9193 9194 9224 9225 9226 9257 9258 9259\n",
" 9260 9291 9292 9293 9294 9327 9328 9329 9330 9361 9362 9363\n",
" 9364 9395 9396 9397 9427 10131 10132 10162 10163 10164 10195 10196\n",
" 10197 10198 10230 10231 10232 10233 10265 10266 10267 10268 10300 10301\n",
" 10302 10303 10304 10334 10335 10336 10337 10338 10365 10366 10367 10368\n",
" 10395 10396 10397 11155 11156 11157 11187 11188 11189 11220 11221 11222\n",
" 11252 11253 11254 11255 11284 11285 11286 11287 11288 11314 11315 11316\n",
" 11317 11318 11344 11345 11346 11347 11348 11374 11375 11376 11405 12112\n",
" 12113 12114 12144 12145 12146 12177 12178 12179 12209 12210 12211 12212\n",
" 12241 12242 12243 12244 12245 12271 12272 12273 12274 12275 12301 12302\n",
" 12303 12304 12305 12331 12332 12333 12362 13074 13075 13105 13106 13107\n",
" 13138 13139 13140 13141 13173 13174 13175 13176 13208 13209 13210 13211\n",
" 13243 13244 13245 13246 13247 13277 13278 13279 13280 13281 13308 13309\n",
" 13310 13311 13338 13339 13340 14029 14057 14087 14088 14119 14120 14150\n",
" 14151 14152 14183 14184 14185 14186 14217 14218 14219 14220 14253 14254\n",
" 14255 14256 14287 14288 14289 14290 14321 14322 14323 14353 14958 14982\n",
" 15009 15010 15037 15038 15069 15070 15071 15100 15101 15102 15130 15131\n",
" 15132 15133 15158 15159 15160 15161 15190 15191 15192 15193 15218 15219\n",
" 15220 15221 15248 15249 15250 15782 15801 15802 15827 15828 15855 15856\n",
" 15857 15884 15885 15886 15913 15914 15915 15942 15943 15944 15969 15970\n",
" 15971 15972 15997 15998 15999 16000 16020 16021 16022 16041 16042 16043\n",
" 16526 16545 16546 16568 16569 16594 16595 16596 16621 16622 16623 16648\n",
" 16649 16650 16678 16679 16680 16704 16705 16706 16725 16726 16727 16749\n",
" 16750 16751 16775 16776 16796 17275 17297 17298 17320 17321 17345 17346\n",
" 17347 17371 17372 17373 17394 17395 17396 17418 17419 17420 17439 17440\n",
" 17441 17463 17464 17465 17487 17488 17508 17509 17531 18008 18029 18030\n",
" 18052 18053 18075 18076 18077 18100 18101 18102 18126 18127 18128 18151\n",
" 18152 18153 18175 18176 18177 18201 18202 18203 18223 18224 18244 18245\n",
" 18268 18431 18453 18760 18781 18782 18803 18804 18805 18823 18824 18825\n",
" 18842 18843 18844 18863 18864 18865 18884 18885 18886 18905 18906 18907\n",
" 18930 18931 18953 18954 19148 19172 19483 19505 19506 19526 19527 19547\n",
" 19548 19549 19571 19572 19573 19592 19593 19594 19614 19615 19616 19636\n",
" 19637 19638 19658 19659 19678 20228 20254 20255 20282 20283 20310 20311\n",
" 20312 20339 20340 20341 20364 20365 20387 20388 20408 20946 20972 20999\n",
" 21000 21028 21029 21057 21058 21081 21101 21650 21677 21704] are constant.\n",
" UserWarning)\n",
"/Users/nicolasfarrugia/miniconda3/envs/tf/lib/python3.6/site-packages/sklearn/feature_selection/univariate_selection.py:114: RuntimeWarning: invalid value encountered in true_divide\n",
" f = msb / msw\n"
]
}
],
"source": [
"from sklearn.feature_selection import f_regression, SelectKBest, f_classif\n",
"\n",
"from sklearn.model_selection import cross_val_score,train_test_split\n",
"\n",
"from sklearn.svm import SVC\n",
"\n",
"featureselet = SelectKBest(score_func=f_classif,k=2000)\n",
"\n",
"lowdim = featureselet.fit_transform(X_lowhigh,y_lowhigh)\n",
"\n",
"from sklearn.preprocessing import StandardScaler\n",
"\n",
"lowdim_sc = StandardScaler().fit_transform(lowdim)\n",
"\n",
"cvscores = cross_val_score(estimator=SVC(),X=lowdim_sc,y=y_lowhigh,cv=5)\n",
"\n",
"print(cvscores)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Features that were selected"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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cuBEAMHXqVADAeeedl6fSKcWO8WLLNV1dXRg7diwAu1edwXhHtba2Aoh5cY0b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KY8eO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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11b36c128>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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wGxvmgcfl2JDCUAY7rF9Q59hzY2OjHPy/hyRc31VGQ8WGhcuh/h/A/mzaBygN8We2gwGz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\n4m1pbo4l7NJpyKp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DSpAp7J8+8onU1cWyUTY3N8tXz/k/xvIvQDtNNl/75J07RaTvQ1Mn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wOsE+0ZH7y9mS++iFGjRgXewShZunQpAKCyshL3Rxg/1Xac71G9jqsFCxbgi7vvdjxWF2d88D7Z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\nREREREREksb/BxM6O0GjW8OzAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11b6ec0b8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pvals = featureselet.pvalues_\n",
"logpvals = -np.log10(pvals)\n",
"\n",
"plot_stat_map(mymasker.inverse_transform(logpvals),cut_coords=8,display_mode='z')\n",
"plt.show()\n",
"\n",
"\n",
"plot_stat_map(mymasker.inverse_transform(logpvals),cut_coords=8,display_mode='x')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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