{
 "format": "oscr-script-manifest/1",
 "repository": "zenodo:18626601",
 "url": "10.5281/zenodo.18626601",
 "host": "zenodo.org",
 "commit": "",
 "license": "CC-BY-4.0",
 "license_confirmed_by": "license of the archive's record",
 "redistribution": "yes",
 "files": [
  {
   "path": "PRAD_Behavioral_Dynamics/StartHere_PRADs.m",
   "sha256": "54f9ec8453a74358a639ddb7667ef333b27fc634e63f1107681a91a9f0b654f5",
   "language": "MATLAB",
   "lines": 40,
   "truncated": false,
   "block": 9,
   "row": 3741
  },
  {
   "path": "PRAD_Behavioral_Dynamics/SummarizeResults.m",
   "sha256": "8736ca47e9dff75ae42027eaa46275d7208dfbff44a2533935d508027cc0cdf2",
   "language": "MATLAB",
   "lines": 451,
   "truncated": false,
   "block": 9,
   "row": 5762
  },
  {
   "path": "PRAD_Behavioral_Dynamics/chkconv.m",
   "sha256": "5e8cb9e89c43ef63e7566fc3b8249c7b1d2ec7dd9604dbf8a1bf0b8eb1b8b0ca",
   "language": "MATLAB",
   "lines": 144,
   "truncated": false,
   "block": 9,
   "row": 4621
  },
  {
   "path": "PRAD_Behavioral_Dynamics/matjagsRAND.m",
   "sha256": "fc24c61747f7c8b4b7790a5d3ce9a050f0495c214609aa1788d56f352236f784",
   "language": "MATLAB",
   "lines": 904,
   "truncated": false,
   "block": 9,
   "row": 5884
  },
  {
   "path": "PRAD_Behavioral_Dynamics/sst_jags_and_save.m",
   "sha256": "05dbac160ce80e9cb0cca886d7faf2f3123eac556887a4a12ce2340247e38f2f",
   "language": "MATLAB",
   "lines": 109,
   "truncated": false,
   "block": 9,
   "row": 4890
  },
  {
   "path": "PRAD_Behavioral_Dynamics/sst_prepare_for_jags.m",
   "sha256": "7cba13056336c963865b1f3ee4a06ec8c5fb3501af38af3d69649e12092da503",
   "language": "MATLAB",
   "lines": 203,
   "truncated": false,
   "block": 9,
   "row": 5430
  },
  {
   "path": "README.md",
   "sha256": "685da815e2d3642f6b58624000cb17ca0cf6b49d76b497c13b62a116a9d93490",
   "language": "Text",
   "lines": 118,
   "truncated": false,
   "block": 9,
   "row": 14610
  },
  {
   "path": "behavioral/correlations.py",
   "sha256": "99a2beeac81172ca35adf5e85d8520fc616bc5eab10af002edd51c5c7babb5be",
   "language": "Python",
   "lines": 166,
   "truncated": false,
   "block": 9,
   "row": 9780
  },
  {
   "path": "behavioral/get_SST_pm_behav.m",
   "sha256": "750f1bf9b7abe027cc5b992094eb3f66c784fed9b2baf23fc08044fbe5f48f35",
   "language": "MATLAB",
   "lines": 14,
   "truncated": false,
   "block": 9,
   "row": 3390
  },
  {
   "path": "behavioral/get_SST_pm_cog.m",
   "sha256": "fcb20726a2b097fdf24290dffd0f7ab1737a55f3931a45ccf73eb3ee105ad9b0",
   "language": "MATLAB",
   "lines": 6,
   "truncated": false,
   "block": 9,
   "row": 3086
  },
  {
   "path": "behavioral/get_SST_pm_cog_control_models.py",
   "sha256": "5edbc679ecf53511b93f6fd73946fcc90aab4138915ee992e20c22dd9862973d",
   "language": "Python",
   "lines": 57,
   "truncated": false,
   "block": 9,
   "row": 8091
  },
  {
   "path": "behavioral/get_SST_pm_cog_control_models_test.py",
   "sha256": "5878db36379b5777d1ec014ec637a01aec803f43fb72df3b681f2031cc494fe2",
   "language": "Python",
   "lines": 34,
   "truncated": false,
   "block": 9,
   "row": 7444
  },
  {
   "path": "behavioral/npz_rip_cog_behav.py",
   "sha256": "6cdfb5c8236ff30f9df9660309d352c2fd11dfefddff518c39e966d1edebbbb7",
   "language": "Python",
   "lines": 72,
   "truncated": false,
   "block": 9,
   "row": 8535
  },
  {
   "path": "behavioral/npz_rip_cog_behav_test.py",
   "sha256": "a5eb27b7a820bf81256e0240db0a2a21a346066134c58224ecd68a367cb2261d",
   "language": "Python",
   "lines": 29,
   "truncated": false,
   "block": 9,
   "row": 6771
  },
  {
   "path": "get_prad.sh",
   "sha256": "3b44b8dd0e753028c141af9e3edc1fb90843059c905db83adb006313729ef884",
   "language": "Shell",
   "lines": 7,
   "truncated": false,
   "block": 9,
   "row": 13931
  },
  {
   "path": "image_masks/make_DMN.py",
   "sha256": "745847b69fb1f2b8f5674c5cc454cfcb2bdf641457d0a885e1fe0b566c5afda9",
   "language": "Python",
   "lines": 29,
   "truncated": false,
   "block": 9,
   "row": 7231
  },
  {
   "path": "image_masks/make_dACC.py",
   "sha256": "730748a7ada256781145021e2f23ce3dcd62d64dac7a66e39294c270e0dbc4c6",
   "language": "Python",
   "lines": 23,
   "truncated": false,
   "block": 9,
   "row": 6963
  },
  {
   "path": "image_masks/make_subcortical_ROIs.py",
   "sha256": "f93836caedaaa7d8e4f0116d9c749f7da4199fcc137a1fb2d5df59db8b39f055",
   "language": "Python",
   "lines": 40,
   "truncated": false,
   "block": 9,
   "row": 7721
  },
  {
   "path": "paths.py",
   "sha256": "5d67bb7cefa333c675c7c13ed921d2d33b0afcb7f317565300b41af166bc4fe5",
   "language": "Python",
   "lines": 31,
   "truncated": false,
   "block": 9,
   "row": 6997
  },
  {
   "path": "taskfmri/0_subjectlist/inclusions_1.py",
   "sha256": "891fa2d0db63b1c50bb0a88e293d64386d5a99d04b0352c45e2a24df9c24b0f4",
   "language": "Python",
   "lines": 483,
   "truncated": false,
   "block": 9,
   "row": 11615
  },
  {
   "path": "taskfmri/0_subjectlist/inclusions_1_scanner_info_included_family_member.py",
   "sha256": "98f7b83697c10ba442650328bc698ba8488f16cffaf609bde8c601194788cd2a",
   "language": "Python",
   "lines": 90,
   "truncated": false,
   "block": 9,
   "row": 8889
  },
  {
   "path": "taskfmri/0_subjectlist/inclusions_control_models.py",
   "sha256": "5158a87667b9ecc18d46659640fe4416d0aff18c4ba884e78aedacf54883b6cb",
   "language": "Python",
   "lines": 35,
   "truncated": false,
   "block": 9,
   "row": 7157
  },
  {
   "path": "taskfmri/0_subjectlist/sex.py",
   "sha256": "afee0c53099879b7bd8a8df40d42d800faa4cf6e77c10643328a3222812b3bc2",
   "language": "Python",
   "lines": 36,
   "truncated": false,
   "block": 9,
   "row": 7164
  },
  {
   "path": "taskfmri/0_subjectlist/sl.py",
   "sha256": "2470d2f1a39c0cbf2446d6e36de9d5f6359f1776c99cf6a364b971f853ae8070",
   "language": "Python",
   "lines": 112,
   "truncated": false,
   "block": 9,
   "row": 9170
  },
  {
   "path": "taskfmri/0_subjectlist/sl_test.py",
   "sha256": "f2e41988bc70bd98dc9e5a4b0a2a240fb12793ad8e91da73f31f1e4451694f23",
   "language": "Python",
   "lines": 24,
   "truncated": false,
   "block": 9,
   "row": 6697
  },
  {
   "path": "taskfmri/1_preprocess/im_proc.py",
   "sha256": "1e1f20f746f9ad302a2dc617af08b8f1714ebcf891a76f40411aa64e58662c59",
   "language": "Python",
   "lines": 100,
   "truncated": false,
   "block": 9,
   "row": 8834
  },
  {
   "path": "taskfmri/1_preprocess/im_proc.sh",
   "sha256": "528e6706dc402a7959d61a076941769135442e1cfbc15208ff2ccb0867f6f24c",
   "language": "Shell",
   "lines": 16,
   "truncated": false,
   "block": 9,
   "row": 14064
  },
  {
   "path": "taskfmri/2_design/design.py",
   "sha256": "550c19ba7dd734a96b214b1367560a4500cec07feea96989f33b98b8c0079eb9",
   "language": "Python",
   "lines": 659,
   "truncated": false,
   "block": 9,
   "row": 12184
  },
  {
   "path": "taskfmri/2_design/run_design.py",
   "sha256": "911c13d20c146be1522c37a51e7ad5426b5bd2d9ae42b4090b46de3cb43d9066",
   "language": "Python",
   "lines": 83,
   "truncated": false,
   "block": 9,
   "row": 7971
  },
  {
   "path": "taskfmri/2_design/run_design_pradG.py",
   "sha256": "db2157833f3b05679054cfbed3dc052de8a8a6118a8f6b1dc3b23afdc65a0f8a",
   "language": "Python",
   "lines": 69,
   "truncated": false,
   "block": 9,
   "row": 7822
  },
  {
   "path": "taskfmri/2_design/run_design_pradIR.py",
   "sha256": "94731e458ce25a4c0a3834b67c473b256eb94725147cf8c5aeac1cfa375a78c7",
   "language": "Python",
   "lines": 69,
   "truncated": false,
   "block": 9,
   "row": 7824
  },
  {
   "path": "taskfmri/2_design/run_design_rvm.py",
   "sha256": "0f03d8ffcbfdf3774061ab22b1c8f7e6e9c7b86878d1a7908283232e89eff513",
   "language": "Python",
   "lines": 67,
   "truncated": false,
   "block": 9,
   "row": 7716
  },
  {
   "path": "taskfmri/3_individualstats/individualstats.py",
   "sha256": "6e1494aef71992d2d79ef77b43388ce74992b47776e3dc46fa9f46f0402b390b",
   "language": "Python",
   "lines": 182,
   "truncated": false,
   "block": 9,
   "row": 10317
  },
  {
   "path": "taskfmri/3_individualstats/run_individualstats.py",
   "sha256": "3f59f2b37327a09557fa1d42c8a046af4adbd345a644155ac14c5f7fceff871d",
   "language": "Python",
   "lines": 82,
   "truncated": false,
   "block": 9,
   "row": 8291
  },
  {
   "path": "taskfmri/3_individualstats/run_individualstats_oom.py",
   "sha256": "52568c70e621e3803cc137ab83400739acffa5dedf9ae819e4424ee7a8dbc868",
   "language": "Python",
   "lines": 88,
   "truncated": false,
   "block": 9,
   "row": 8413
  },
  {
   "path": "taskfmri/3_individualstats/run_individualstats_pradG.py",
   "sha256": "9daecbe4a8483c1abb11b03e8bc7464a5c63ed162279b4e99b6e055df94e08dc",
   "language": "Python",
   "lines": 52,
   "truncated": false,
   "block": 9,
   "row": 7568
  },
  {
   "path": "taskfmri/3_individualstats/run_individualstats_pradIR.py",
   "sha256": "5df1514c3be3b24855d0e7673f7f52bf257ad95b56c279a826286f5636769062",
   "language": "Python",
   "lines": 52,
   "truncated": false,
   "block": 9,
   "row": 7569
  },
  {
   "path": "taskfmri/3_individualstats/run_individualstats_rvm.py",
   "sha256": "35bb4a1bbc01c6716896f97118f6d312389ec5815bbfcd76d795a9399168783d",
   "language": "Python",
   "lines": 52,
   "truncated": false,
   "block": 9,
   "row": 7564
  },
  {
   "path": "taskfmri/4_groupstats/groupstats.py",
   "sha256": "70d0928af8fc8cf2b5eb2ebf1140448b66bcc6c728dbbd4360007f9b5163aa34",
   "language": "Python",
   "lines": 617,
   "truncated": false,
   "block": 9,
   "row": 12056
  },
  {
   "path": "taskfmri/4_groupstats/groupstats_one_sample_WB.py",
   "sha256": "37f8ed3e9cb6e683def25cf54c93159087b06d671a536556af85179feaf8dd0e",
   "language": "Python",
   "lines": 132,
   "truncated": false,
   "block": 9,
   "row": 9705
  },
  {
   "path": "taskfmri/4_groupstats/groupstats_rema.py",
   "sha256": "a36ce2df7485b3dbf31420dc74e31e74bd4641a16f22cddd997b558f03d42a13",
   "language": "Python",
   "lines": 75,
   "truncated": false,
   "block": 9,
   "row": 8349
  },
  {
   "path": "taskfmri/4_groupstats/print_n.py",
   "sha256": "b6b48b25735bebf6fe30dd0e5633000a288fc115b743f8c5642245d324e54086",
   "language": "Python",
   "lines": 27,
   "truncated": false,
   "block": 9,
   "row": 7101
  },
  {
   "path": "taskfmri/4_groupstats/run_groupstats_one_sample_WB.py",
   "sha256": "87d523a49dbc60b5f2f54723828aaf41b25bfac64eff81a43bbcaeab1fb1eb09",
   "language": "Python",
   "lines": 58,
   "truncated": false,
   "block": 9,
   "row": 7673
  },
  {
   "path": "taskfmri/4_groupstats/run_groupstats_one_sample_WB_pradG.py",
   "sha256": "08735faab58ab365bcd4aef6f372b7b5381ca34ae3642dc47f0cbb4e92f93da9",
   "language": "Python",
   "lines": 53,
   "truncated": false,
   "block": 9,
   "row": 7574
  },
  {
   "path": "taskfmri/4_groupstats/run_groupstats_one_sample_WB_pradIR.py",
   "sha256": "c7b2b72b3e38a3fb2dcdbe24bae9f8818c01dc39474b84f767afc0c13309859b",
   "language": "Python",
   "lines": 53,
   "truncated": false,
   "block": 9,
   "row": 7575
  },
  {
   "path": "taskfmri/4_groupstats/run_groupstats_one_sample_WB_rvm.py",
   "sha256": "7a1466386e6a4eddf980c05e84a9249c1720a655babaf4b7d2682452ebe8c414",
   "language": "Python",
   "lines": 53,
   "truncated": false,
   "block": 9,
   "row": 7573
  },
  {
   "path": "taskfmri/4_groupstats/subject_average_mods.ipynb",
   "sha256": "c93f09f05094b38cdface907f2cf7fadd091ca8b6830d4a19e1eca95b01fecc5",
   "language": "Jupyter",
   "lines": 50,
   "truncated": false,
   "block": 9,
   "row": 2212
  },
  {
   "path": "taskfmri/5_more_second_level/anatomical_nonergodicity.ipynb",
   "sha256": "00a52d67efe3385147ddf82e9793376f742b7ea2c0faa2afe8d762b6fcfe3067",
   "language": "Jupyter",
   "lines": 108,
   "truncated": false,
   "block": 9,
   "row": 2332
  },
  {
   "path": "taskfmri/5_more_second_level/permutations.ipynb",
   "sha256": "370971bc974deb45d0cc85cb3cc00cce36ff3f295893f07c72e96d3520c8c520",
   "language": "Jupyter",
   "lines": 475,
   "truncated": false,
   "block": 9,
   "row": 2635
  },
  {
   "path": "taskfmri/5_more_second_level/permutations.py",
   "sha256": "a180ef5f19a599e39fe789a01e1bcc79ca5c99bc34ebabd3e01fe44a2c017075",
   "language": "Python",
   "lines": 27,
   "truncated": false,
   "block": 9,
   "row": 6943
  },
  {
   "path": "taskfmri/5_more_second_level/resample.py",
   "sha256": "d2b79a95b81f8fbbafb6aa9ceb5f86d4bdef2a509ead4358b75f43fc43d8a3fc",
   "language": "Python",
   "lines": 151,
   "truncated": false,
   "block": 9,
   "row": 9589
  },
  {
   "path": "taskfmri/5_more_second_level/rsa.py",
   "sha256": "551d84f685a26541b794fef6b79cf6cf1d9589d2eec3a290ae63bd0c89d5371a",
   "language": "Python",
   "lines": 98,
   "truncated": false,
   "block": 9,
   "row": 8804
  },
  {
   "path": "taskfmri/6_plotting/anatomical_nonergodicity.ipynb",
   "sha256": "4258915ef632ee4808ed385f6d4b55362c1ff0abd0ed45df0a295219d3df71c8",
   "language": "Jupyter",
   "lines": 224,
   "truncated": false,
   "block": 9,
   "row": 2474
  },
  {
   "path": "taskfmri/6_plotting/compare_correlations_ds.ipynb",
   "sha256": "50f6a24bce3b4bb9b5a7de4e554feb96407cb8540033ad60860b637a131e2733",
   "language": "Jupyter",
   "lines": 336,
   "truncated": false,
   "block": 9,
   "row": 2551
  },
  {
   "path": "taskfmri/6_plotting/compare_correlations_ds_test.py",
   "sha256": "954cbdba10b82b284001e93a0a41dc609e16fa2abeb34d846a8a7c2f14d0aa7b",
   "language": "Python",
   "lines": 22,
   "truncated": false,
   "block": 9,
   "row": 7018
  },
  {
   "path": "taskfmri/6_plotting/correlate_betas_WB.py",
   "sha256": "86f6b20bfdc3ad56654fb6f76e8a8ac24f00f10bd7f7a04d8aff5362b5350e19",
   "language": "Python",
   "lines": 120,
   "truncated": false,
   "block": 9,
   "row": 9380
  },
  {
   "path": "taskfmri/6_plotting/ds_WB.py",
   "sha256": "f21609eaa1dbbca494344b3fda53e468188b8f5bebff607041a414a613f12b89",
   "language": "Python",
   "lines": 151,
   "truncated": false,
   "block": 9,
   "row": 9584
  },
  {
   "path": "taskfmri/6_plotting/ds_WB_control_models.py",
   "sha256": "36a578cdde127e03caebfd1c35c486dd1eab6808e6e64a64c8ea81ad2e990c88",
   "language": "Python",
   "lines": 91,
   "truncated": false,
   "block": 9,
   "row": 8387
  },
  {
   "path": "taskfmri/6_plotting/overview.ipynb",
   "sha256": "b458b515977e10edfb171e2aa96b8ef4effd6a7549b18a3428ff555a3d975d23",
   "language": "Jupyter",
   "lines": 324,
   "truncated": false,
   "block": 9,
   "row": 2543
  },
  {
   "path": "taskfmri/6_plotting/plotting_utils.py",
   "sha256": "eb1857ed53f7f7fcf1a61c2191dcde65a804c841132449570458636d56f742d3",
   "language": "Python",
   "lines": 27,
   "truncated": false,
   "block": 9,
   "row": 6970
  },
  {
   "path": "taskfmri/6_plotting/print_p_values.py",
   "sha256": "7266a306b4ec0a92ef4d1c7d558589ff211acf95262c22c89ed7f71e96f2f188",
   "language": "Python",
   "lines": 100,
   "truncated": false,
   "block": 9,
   "row": 9053
  },
  {
   "path": "taskfmri/6_plotting/reliability_group.py",
   "sha256": "499bef8e04ff96c186d0d06b0b424bd6383fc6fc23f3167733ec93a633033c5d",
   "language": "Python",
   "lines": 112,
   "truncated": false,
   "block": 9,
   "row": 9448
  },
  {
   "path": "taskfmri/6_plotting/reliability_individual.py",
   "sha256": "d8c2842fa401555d7372fb1a245f13efff2c69854109851d66d2abb6a7ea22c3",
   "language": "Python",
   "lines": 175,
   "truncated": false,
   "block": 9,
   "row": 10360
  },
  {
   "path": "taskfmri/6_plotting/rema.py",
   "sha256": "3bcfcefbab3709e58998c53b94b2484f8ae138e6626a492cb5beadf0b5b07ec7",
   "language": "Python",
   "lines": 149,
   "truncated": false,
   "block": 9,
   "row": 9597
  },
  {
   "path": "taskfmri/6_plotting/resample.ipynb",
   "sha256": "13723d5f4022579ea1e0e585fdfefa625dacc00738349f8b13187511c4f70fd9",
   "language": "Jupyter",
   "lines": 110,
   "truncated": false,
   "block": 9,
   "row": 2347
  },
  {
   "path": "taskfmri/6_plotting/rsa.ipynb",
   "sha256": "bad83a0ed3514846ffc3ba05f074d18d8d3a5389a998b8933ff9ed83fcdcd3f0",
   "language": "Jupyter",
   "lines": 257,
   "truncated": false,
   "block": 9,
   "row": 2488
  },
  {
   "path": "taskfmri/6_plotting/subgroups.ipynb",
   "sha256": "f5a98242995df4eabb1bb1cfd2a055885903c0a11b6effd90ea1361bd3585b9e",
   "language": "Jupyter",
   "lines": 240,
   "truncated": false,
   "block": 9,
   "row": 2483
  },
  {
   "path": "taskfmri/6_plotting/within_subjects_distributions.py",
   "sha256": "c80d696411dcadb7fc4ba42655b1b8e79f8f531696cbf67dd85faee60c66e415",
   "language": "Python",
   "lines": 132,
   "truncated": false,
   "block": 9,
   "row": 9311
  },
  {
   "path": "taskfmri/make_source_data.sh",
   "sha256": "ccb2b383ec11117a304102c7cb0eed7eda84da9fde58f2261d77ca1641532c5f",
   "language": "Shell",
   "lines": 59,
   "truncated": false,
   "block": 9,
   "row": 14304
  },
  {
   "path": "taskfmri/submit_chain.sh",
   "sha256": "3332eb6f91de3b1b12dbd35c752b3cbffcc81cd33e8bff05a58c5abf6d4c1fb8",
   "language": "Shell",
   "lines": 21,
   "truncated": false,
   "block": 9,
   "row": 14138
  },
  {
   "path": "utilities/backup_data_to_box.py",
   "sha256": "845aa1ebf6fd23d9d45b07beeb301aaa416ee7a1ff77aa595f211a5d44b73898",
   "language": "Python",
   "lines": 19,
   "truncated": false,
   "block": 9,
   "row": 6612
  },
  {
   "path": "utilities/backup_results_to_box.py",
   "sha256": "12b77ee1d6f47bcc8b94b06fc8d4314fbed03ed7d3e5e1b12f5d5e50026dbe93",
   "language": "Python",
   "lines": 30,
   "truncated": false,
   "block": 9,
   "row": 6909
  },
  {
   "path": "utilities/parallel.py",
   "sha256": "ddf3f28578ba5411645ab335a71c2890a44490a438ccb70e9e86694179459c8f",
   "language": "Python",
   "lines": 19,
   "truncated": false,
   "block": 9,
   "row": 6794
  },
  {
   "path": "utilities/report_error.py",
   "sha256": "bea4aac3426500881313db94b5ffeb76ead98d552eb334a8a2e48cd662deca72",
   "language": "Python",
   "lines": 32,
   "truncated": false,
   "block": 9,
   "row": 7122
  },
  {
   "path": "utilities/submit.py",
   "sha256": "dd2f87d35ef2181eb822f8fc0c9ed728f88c7faf7bb4b16fabafc74456a2a1a6",
   "language": "Python",
   "lines": 221,
   "truncated": false,
   "block": 9,
   "row": 10498
  }
 ]
}