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kosciessa 1 mese fa
parent
d9d7139aaa
commit
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100 ha cambiato i file con 24095 aggiunte e 0 eliminazioni
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+ 5 - 0
.gitignore
Vedi File 

@@ -0,0 +1,5 @@
 
+# Exclude specific patterns
 
+*.m~
 
+*.fuse_hidden*
 
+.DS_Store
 
+*._*

+ 380 - 0
.gitmodules
Vedi File 

@@ -0,0 +1,380 @@
 
+[submodule "sub-STSWD1117"]
 
+	path = sub-STSWD1117
 
+	url = ./sub-STSWD1117
 
+	datalad-id = fe2791b7-4cb8-4904-8827-d7d9c55adb36
 
+[submodule "sub-STSWD1118"]
 
+	path = sub-STSWD1118
 
+	url = ./sub-STSWD1118
 
+	datalad-id = 4bc77896-e446-4152-a2bb-b02dd4dee98b
 
+[submodule "sub-STSWD1120"]
 
+	path = sub-STSWD1120
 
+	url = ./sub-STSWD1120
 
+	datalad-id = 996b9aea-fb00-47f6-bf66-c13591876f31
 
+[submodule "sub-STSWD1124"]
 
+	path = sub-STSWD1124
 
+	url = ./sub-STSWD1124
 
+	datalad-id = 156da05e-cd0d-4318-8bf0-d5d10230fbc9
 
+[submodule "sub-STSWD1126"]
 
+	path = sub-STSWD1126
 
+	url = ./sub-STSWD1126
 
+	datalad-id = d4976234-3247-4113-9fb5-861c8aa65be5
 
+[submodule "sub-STSWD1131"]
 
+	path = sub-STSWD1131
 
+	url = ./sub-STSWD1131
 
+	datalad-id = 35dbd670-f6b0-4ef0-bfa8-e5e3759f84a0
 
+[submodule "sub-STSWD1132"]
 
+	path = sub-STSWD1132
 
+	url = ./sub-STSWD1132
 
+	datalad-id = 922a9c70-b9ce-4160-8400-7c1a7ba9a867
 
+[submodule "sub-STSWD1135"]
 
+	path = sub-STSWD1135
 
+	url = ./sub-STSWD1135
 
+	datalad-id = 258a4999-fd8a-4566-b648-a7a7ea89c7ef
 
+[submodule "sub-STSWD1136"]
 
+	path = sub-STSWD1136
 
+	url = ./sub-STSWD1136
 
+	datalad-id = c1919dc0-f31d-49be-9e91-95c2a34ad5ab
 
+[submodule "sub-STSWD1151"]
 
+	path = sub-STSWD1151
 
+	url = ./sub-STSWD1151
 
+	datalad-id = c2b9e439-9c1c-414d-90ed-1010ebdc78f5
 
+[submodule "sub-STSWD1160"]
 
+	path = sub-STSWD1160
 
+	url = ./sub-STSWD1160
 
+	datalad-id = 26c1e36a-a801-4376-bb3e-62f8ba79f739
 
+[submodule "sub-STSWD1164"]
 
+	path = sub-STSWD1164
 
+	url = ./sub-STSWD1164
 
+	datalad-id = 64bd2b2f-212b-497c-a6e6-3d008d1fbd22
 
+[submodule "sub-STSWD1167"]
 
+	path = sub-STSWD1167
 
+	url = ./sub-STSWD1167
 
+	datalad-id = 68c31db0-89f5-41c4-980e-369f5936293b
 
+[submodule "sub-STSWD1169"]
 
+	path = sub-STSWD1169
 
+	url = ./sub-STSWD1169
 
+	datalad-id = 6266e3a5-1b07-4128-8f16-6c62c99db52d
 
+[submodule "sub-STSWD1172"]
 
+	path = sub-STSWD1172
 
+	url = ./sub-STSWD1172
 
+	datalad-id = 0361312e-3946-475c-b0f9-a6d731b50524
 
+[submodule "sub-STSWD1173"]
 
+	path = sub-STSWD1173
 
+	url = ./sub-STSWD1173
 
+	datalad-id = d2b56606-ecf3-46a3-8edb-13cf35d62e51
 
+[submodule "sub-STSWD1178"]
 
+	path = sub-STSWD1178
 
+	url = ./sub-STSWD1178
 
+	datalad-id = 778c5f21-4ad7-4eb3-8664-a33c9121466a
 
+[submodule "sub-STSWD1182"]
 
+	path = sub-STSWD1182
 
+	url = ./sub-STSWD1182
 
+	datalad-id = 5d0865ea-99a7-45c1-aacc-12756754df34
 
+[submodule "sub-STSWD1215"]
 
+	path = sub-STSWD1215
 
+	url = ./sub-STSWD1215
 
+	datalad-id = 9e701200-3c61-4050-839c-7f283ae1b0a8
 
+[submodule "sub-STSWD1216"]
 
+	path = sub-STSWD1216
 
+	url = ./sub-STSWD1216
 
+	datalad-id = 5ed5d07f-5a80-4395-bb4e-b9de20c39232
 
+[submodule "sub-STSWD1219"]
 
+	path = sub-STSWD1219
 
+	url = ./sub-STSWD1219
 
+	datalad-id = 8e96223d-dea5-4c54-83be-8c739dfd26fd
 
+[submodule "sub-STSWD1223"]
 
+	path = sub-STSWD1223
 
+	url = ./sub-STSWD1223
 
+	datalad-id = 2931a4f8-96b0-4f82-8549-b0cf21037e70
 
+[submodule "sub-STSWD1227"]
 
+	path = sub-STSWD1227
 
+	url = ./sub-STSWD1227
 
+	datalad-id = 59ecc75e-e629-4ed5-936f-75f6c17e4b1b
 
+[submodule "sub-STSWD1228"]
 
+	path = sub-STSWD1228
 
+	url = ./sub-STSWD1228
 
+	datalad-id = 0cf76f83-634a-41c3-bb61-f8d49501df9f
 
+[submodule "sub-STSWD1233"]
 
+	path = sub-STSWD1233
 
+	url = ./sub-STSWD1233
 
+	datalad-id = b011c920-fa2a-47f4-8262-674daa2428c7
 
+[submodule "sub-STSWD1234"]
 
+	path = sub-STSWD1234
 
+	url = ./sub-STSWD1234
 
+	datalad-id = aa7ae033-7a4a-4d90-ae85-94f4ac8c65d8
 
+[submodule "sub-STSWD1237"]
 
+	path = sub-STSWD1237
 
+	url = ./sub-STSWD1237
 
+	datalad-id = fdf4588b-32d2-4918-9f06-31ef9b954c9d
 
+[submodule "sub-STSWD1239"]
 
+	path = sub-STSWD1239
 
+	url = ./sub-STSWD1239
 
+	datalad-id = a5e0e1b7-8d8a-4a79-83e5-e45518c98df9
 
+[submodule "sub-STSWD1240"]
 
+	path = sub-STSWD1240
 
+	url = ./sub-STSWD1240
 
+	datalad-id = 932c427d-5034-4db4-bb2b-f58ad88aad38
 
+[submodule "sub-STSWD1243"]
 
+	path = sub-STSWD1243
 
+	url = ./sub-STSWD1243
 
+	datalad-id = 7f0063c6-61fb-4255-9a8c-da5f1f1e2886
 
+[submodule "sub-STSWD1245"]
 
+	path = sub-STSWD1245
 
+	url = ./sub-STSWD1245
 
+	datalad-id = 75ae44a8-4522-4e48-b988-2e574bd0b365
 
+[submodule "sub-STSWD1247"]
 
+	path = sub-STSWD1247
 
+	url = ./sub-STSWD1247
 
+	datalad-id = 724c4c5b-2e2b-4a68-9a41-6ff35d9e8c46
 
+[submodule "sub-STSWD1250"]
 
+	path = sub-STSWD1250
 
+	url = ./sub-STSWD1250
 
+	datalad-id = 64637e4b-a9f4-4321-907c-f225487a26a2
 
+[submodule "sub-STSWD1252"]
 
+	path = sub-STSWD1252
 
+	url = ./sub-STSWD1252
 
+	datalad-id = ba697b07-8cd5-4aed-87ab-b1f481f95cda
 
+[submodule "sub-STSWD1257"]
 
+	path = sub-STSWD1257
 
+	url = ./sub-STSWD1257
 
+	datalad-id = 8306e509-2a13-4879-b9f0-3e41753e36ad
 
+[submodule "sub-STSWD1261"]
 
+	path = sub-STSWD1261
 
+	url = ./sub-STSWD1261
 
+	datalad-id = 69e470b7-9caa-40fd-a5b6-9b72d9c1aad1
 
+[submodule "sub-STSWD1265"]
 
+	path = sub-STSWD1265
 
+	url = ./sub-STSWD1265
 
+	datalad-id = 97c241a4-0a4f-4f2f-9236-16c537a97fdc
 
+[submodule "sub-STSWD1266"]
 
+	path = sub-STSWD1266
 
+	url = ./sub-STSWD1266
 
+	datalad-id = e0d0e017-0d67-4853-afd6-3878b2e579d7
 
+[submodule "sub-STSWD1268"]
 
+	path = sub-STSWD1268
 
+	url = ./sub-STSWD1268
 
+	datalad-id = fe99ac72-0d75-4acd-b9ef-163debc87a48
 
+[submodule "sub-STSWD1270"]
 
+	path = sub-STSWD1270
 
+	url = ./sub-STSWD1270
 
+	datalad-id = bbff842c-8e8b-4a54-9f7e-d322d26680c4
 
+[submodule "sub-STSWD1276"]
 
+	path = sub-STSWD1276
 
+	url = ./sub-STSWD1276
 
+	datalad-id = 95471c61-fdd4-4060-a8de-f1baa2050fd8
 
+[submodule "sub-STSWD1281"]
 
+	path = sub-STSWD1281
 
+	url = ./sub-STSWD1281
 
+	datalad-id = 3cafc7a7-2c1c-498d-ae05-45c10c96d8b9
 
+[submodule "sub-STSWD2104"]
 
+	path = sub-STSWD2104
 
+	url = ./sub-STSWD2104
 
+	datalad-id = eadf21dd-c5f7-4fce-bb1e-1e8e530f3f9d
 
+[submodule "sub-STSWD2107"]
 
+	path = sub-STSWD2107
 
+	url = ./sub-STSWD2107
 
+	datalad-id = 80f7120d-e7d2-4b7c-904a-51d3d69b5932
 
+[submodule "sub-STSWD2108"]
 
+	path = sub-STSWD2108
 
+	url = ./sub-STSWD2108
 
+	datalad-id = 695b510b-67bf-45bb-a79e-6cb0e57ba27f
 
+[submodule "sub-STSWD2112"]
 
+	path = sub-STSWD2112
 
+	url = ./sub-STSWD2112
 
+	datalad-id = 2a8079ba-4001-4442-bfc6-daa5d2abbd6e
 
+[submodule "sub-STSWD2118"]
 
+	path = sub-STSWD2118
 
+	url = ./sub-STSWD2118
 
+	datalad-id = 3a7c4cb0-fe2c-45f5-b668-d43a05b5d419
 
+[submodule "sub-STSWD2120"]
 
+	path = sub-STSWD2120
 
+	url = ./sub-STSWD2120
 
+	datalad-id = ab85c441-84e7-4dde-9963-d86e13e52722
 
+[submodule "sub-STSWD2121"]
 
+	path = sub-STSWD2121
 
+	url = ./sub-STSWD2121
 
+	datalad-id = cbc1dfb3-1e3f-4aa3-8783-82f85cc3505a
 
+[submodule "sub-STSWD2123"]
 
+	path = sub-STSWD2123
 
+	url = ./sub-STSWD2123
 
+	datalad-id = bdc58a04-24d4-463e-aba3-32f9c6cca10c
 
+[submodule "sub-STSWD2125"]
 
+	path = sub-STSWD2125
 
+	url = ./sub-STSWD2125
 
+	datalad-id = 78bd9e68-42d6-41d3-a178-82a1dce1ad60
 
+[submodule "sub-STSWD2129"]
 
+	path = sub-STSWD2129
 
+	url = ./sub-STSWD2129
 
+	datalad-id = c2cfa3f1-8ed6-45b8-8d02-93a15b7870bf
 
+[submodule "sub-STSWD2130"]
 
+	path = sub-STSWD2130
 
+	url = ./sub-STSWD2130
 
+	datalad-id = f5879a52-596d-4323-8b13-2967efb54ec3
 
+[submodule "sub-STSWD2131"]
 
+	path = sub-STSWD2131
 
+	url = ./sub-STSWD2131
 
+	datalad-id = 3f727542-50dd-4a52-8996-04b6b073dcdf
 
+[submodule "sub-STSWD2132"]
 
+	path = sub-STSWD2132
 
+	url = ./sub-STSWD2132
 
+	datalad-id = 98dc4fa0-61ec-44a4-964f-0a9eec3ece6d
 
+[submodule "sub-STSWD2133"]
 
+	path = sub-STSWD2133
 
+	url = ./sub-STSWD2133
 
+	datalad-id = 1f555973-949a-475e-9393-d138fcbcab12
 
+[submodule "sub-STSWD2134"]
 
+	path = sub-STSWD2134
 
+	url = ./sub-STSWD2134
 
+	datalad-id = 5c5aaeef-99df-463e-b06f-a8823522a591
 
+[submodule "sub-STSWD2135"]
 
+	path = sub-STSWD2135
 
+	url = ./sub-STSWD2135
 
+	datalad-id = 776fb8a4-23c4-4a12-ac0b-9b469c67076b
 
+[submodule "sub-STSWD2139"]
 
+	path = sub-STSWD2139
 
+	url = ./sub-STSWD2139
 
+	datalad-id = 6d96c5f1-652c-4598-a877-ce3aea6134f2
 
+[submodule "sub-STSWD2140"]
 
+	path = sub-STSWD2140
 
+	url = ./sub-STSWD2140
 
+	datalad-id = b2183ac8-8c47-4f11-a628-1319f2c1b2af
 
+[submodule "sub-STSWD2145"]
 
+	path = sub-STSWD2145
 
+	url = ./sub-STSWD2145
 
+	datalad-id = 2705115f-5aa4-406b-a427-e66745a12999
 
+[submodule "sub-STSWD2147"]
 
+	path = sub-STSWD2147
 
+	url = ./sub-STSWD2147
 
+	datalad-id = cbe13c88-935f-45cb-89bb-3d675778e25c
 
+[submodule "sub-STSWD2149"]
 
+	path = sub-STSWD2149
 
+	url = ./sub-STSWD2149
 
+	datalad-id = 1eb89d5f-9254-4da5-af1e-66bbe52c4f34
 
+[submodule "sub-STSWD2157"]
 
+	path = sub-STSWD2157
 
+	url = ./sub-STSWD2157
 
+	datalad-id = 95cab87e-5b60-4aec-b74b-e2afb88a3f28
 
+[submodule "sub-STSWD2160"]
 
+	path = sub-STSWD2160
 
+	url = ./sub-STSWD2160
 
+	datalad-id = 7923e75f-2bf2-49d6-a083-81521f83dd82
 
+[submodule "sub-STSWD2201"]
 
+	path = sub-STSWD2201
 
+	url = ./sub-STSWD2201
 
+	datalad-id = 086f6ea0-0f73-4ecf-8c31-c30820fd5663
 
+[submodule "sub-STSWD2202"]
 
+	path = sub-STSWD2202
 
+	url = ./sub-STSWD2202
 
+	datalad-id = 4cc27bb0-121f-4322-b469-733ba36976b3
 
+[submodule "sub-STSWD2203"]
 
+	path = sub-STSWD2203
 
+	url = ./sub-STSWD2203
 
+	datalad-id = 587bfe19-e83b-4895-b308-a3ea888463dd
 
+[submodule "sub-STSWD2205"]
 
+	path = sub-STSWD2205
 
+	url = ./sub-STSWD2205
 
+	datalad-id = c7f986a2-88df-4a12-b1ba-77ac29c3c0ed
 
+[submodule "sub-STSWD2206"]
 
+	path = sub-STSWD2206
 
+	url = ./sub-STSWD2206
 
+	datalad-id = e656906f-6479-478b-bbf1-d9ee1000d07e
 
+[submodule "sub-STSWD2209"]
 
+	path = sub-STSWD2209
 
+	url = ./sub-STSWD2209
 
+	datalad-id = efe58c6f-b939-4de5-9f95-23d809d8a907
 
+[submodule "sub-STSWD2210"]
 
+	path = sub-STSWD2210
 
+	url = ./sub-STSWD2210
 
+	datalad-id = 31ff2fbb-42c5-4db2-8361-85c5bbbd8a21
 
+[submodule "sub-STSWD2211"]
 
+	path = sub-STSWD2211
 
+	url = ./sub-STSWD2211
 
+	datalad-id = f7d4906b-b252-4898-a628-52f0a75fb252
 
+[submodule "sub-STSWD2213"]
 
+	path = sub-STSWD2213
 
+	url = ./sub-STSWD2213
 
+	datalad-id = ccd90db4-e892-4334-9dcd-36541a964a82
 
+[submodule "sub-STSWD2214"]
 
+	path = sub-STSWD2214
 
+	url = ./sub-STSWD2214
 
+	datalad-id = 01f966f9-37b6-4b94-8755-6d349fd0a833
 
+[submodule "sub-STSWD2215"]
 
+	path = sub-STSWD2215
 
+	url = ./sub-STSWD2215
 
+	datalad-id = 389246d2-5673-493e-8757-35b41602ff72
 
+[submodule "sub-STSWD2216"]
 
+	path = sub-STSWD2216
 
+	url = ./sub-STSWD2216
 
+	datalad-id = 72442710-ffe5-418b-b141-0e8970bdfbcd
 
+[submodule "sub-STSWD2217"]
 
+	path = sub-STSWD2217
 
+	url = ./sub-STSWD2217
 
+	datalad-id = db62c4f5-bd65-428b-b0c7-7b9db497ce2d
 
+[submodule "sub-STSWD2219"]
 
+	path = sub-STSWD2219
 
+	url = ./sub-STSWD2219
 
+	datalad-id = e9ab66ec-cc31-4b8f-9d46-0fcd3cbf5cf0
 
+[submodule "sub-STSWD2222"]
 
+	path = sub-STSWD2222
 
+	url = ./sub-STSWD2222
 
+	datalad-id = d831806d-df92-476f-bb3b-a43649836ab3
 
+[submodule "sub-STSWD2224"]
 
+	path = sub-STSWD2224
 
+	url = ./sub-STSWD2224
 
+	datalad-id = ed0ed9e4-2cd4-492f-85d3-eeba5074946c
 
+[submodule "sub-STSWD2226"]
 
+	path = sub-STSWD2226
 
+	url = ./sub-STSWD2226
 
+	datalad-id = 111861ee-0f70-4101-84a7-f11d8612a15a
 
+[submodule "sub-STSWD2227"]
 
+	path = sub-STSWD2227
 
+	url = ./sub-STSWD2227
 
+	datalad-id = 81d4927d-1372-47cf-9004-aa6d25165c5b
 
+[submodule "sub-STSWD2236"]
 
+	path = sub-STSWD2236
 
+	url = ./sub-STSWD2236
 
+	datalad-id = 036b77cf-f27a-48c4-ba74-cb31a6c8371b
 
+[submodule "sub-STSWD2237"]
 
+	path = sub-STSWD2237
 
+	url = ./sub-STSWD2237
 
+	datalad-id = 74a4f2e0-734a-4991-8dad-d992548181b5
 
+[submodule "sub-STSWD2238"]
 
+	path = sub-STSWD2238
 
+	url = ./sub-STSWD2238
 
+	datalad-id = c0dd0c40-d059-4d80-aa13-104cc50bb4ec
 
+[submodule "sub-STSWD2241"]
 
+	path = sub-STSWD2241
 
+	url = ./sub-STSWD2241
 
+	datalad-id = d1af1315-0566-4655-84b0-349981a894f0
 
+[submodule "sub-STSWD2244"]
 
+	path = sub-STSWD2244
 
+	url = ./sub-STSWD2244
 
+	datalad-id = 67e4a5c4-c7e8-4329-a9e4-c244054d736f
 
+[submodule "sub-STSWD2246"]
 
+	path = sub-STSWD2246
 
+	url = ./sub-STSWD2246
 
+	datalad-id = e3d8c177-ccba-497b-a84c-d759fb0d67bb
 
+[submodule "sub-STSWD2248"]
 
+	path = sub-STSWD2248
 
+	url = ./sub-STSWD2248
 
+	datalad-id = 3f6cc085-8817-4271-91e0-7d5d2d382398
 
+[submodule "sub-STSWD2250"]
 
+	path = sub-STSWD2250
 
+	url = ./sub-STSWD2250
 
+	datalad-id = f56315db-155e-42cd-856f-8cb7f07e0ab6
 
+[submodule "sub-STSWD2251"]
 
+	path = sub-STSWD2251
 
+	url = ./sub-STSWD2251
 
+	datalad-id = 30f30387-0a06-4290-aefb-52176b322198
 
+[submodule "sub-STSWD2252"]
 
+	path = sub-STSWD2252
 
+	url = ./sub-STSWD2252
 
+	datalad-id = 6cac2323-e865-40d8-9339-c99bc402f03c
 
+[submodule "sub-STSWD2258"]
 
+	path = sub-STSWD2258
 
+	url = ./sub-STSWD2258
 
+	datalad-id = 0250e842-72a0-4257-94a3-66a2ccfe4151
 
+[submodule "sub-STSWD2261"]
 
+	path = sub-STSWD2261
 
+	url = ./sub-STSWD2261
 
+	datalad-id = 13fb85af-c64f-45ae-bd3f-6d7d5bdb3a45

+ 4 - 0
.osfcli.config
Vedi File 

@@ -0,0 +1,4 @@
 
+[osf]
 
+username = kosciessa@mpib-berlin.mpg.de
 
+project = tfym3
 
+

+ 139 - 0
README.md
Vedi File 

@@ -0,0 +1,139 @@
 
+Description: StateSwitch fMRI 
+
 
+Please cite the following references if you use these data:
 
+
 
+- Kosciessa, J. Q., Lindenberger, U. & Garrett, D. D. Thalamocortical excitability modulation guides human perception under uncertainty. Nat. Commun. 12, 2430 (2021).
 
+
 
+- Kosciessa, J. Q., Mayr, U., Lindenberger, U. & Garrett, D. D. Broadscale dampening of uncertainty adjustment in the aging brain. Nat. Commun. (in press, 2024).
 
+
 
+A static copy of the data for younger adults is also provided at https://osf.io/mgxqr/.
 
+
 
+In case of questions, contact kosciessa@mpib-berlin.mpg.de or [MPIB Research Data Management](<rdm@mpib-berlin.mpg.de>).
 
+
 
+func/
 
+-----
 
+
 
+IMPORTANT: Events are provided as stick regressors and exclude the first 12 volumes to reach BOLD equilibrium. 
+Please make sure to discard the first 12 volumes during any analysis to correctly index the event timing.
 
+
 
+The experiment was structured as follows:
 
+
 
+Subjects performed a dynamic visual attention task (multi-attribute Task; MAT), and had to sample up to four visual features in a joint display for subsequent recall. 
+Prior to stimulus presentation, subjects were validly cued to potential target probes. 
+The number and identity of cues was varied to modulate the level of expected target uncertainty – and thus the contextually required encoding dimensions. 
+Subjects performed 4 runs of 8 blocks each; each block contained 8 sequences of 8 trials with identical state cueing.
 
+
 
+Each trial was structured as follows:
 
+Cue onset during which the relevant targets were centrally presented (1s), fixation phase (2s), dynamic stimulus phase (3s), probe phase (incl. response; 2s); ITI (un-jittered; 1.5s).
 
+
 
+At the onset of each block, the relevant attentional target set was presented for 5 s.
 
+At the offset of each block, subjects received sham feedback for 3s.
 
+
 
+anat/
 
+-----
 
+
 
+Anatomical data cannot be publicly shared as per informed consent. 
+If required, defaced anatomical data can be made available for research purposes only.
 
+Please send a request to Research Data Management <rdm@mpib-berlin.mpg.de> and submit a data protection statement.
 
+
 
+fmap/
 
+-----
 
+
 
+No fieldmap images were acquired.
 
+
 
+General Comments
 
+----------------
 
+
 
+N/A
 
+ 
+
 
+Known Issues
 
+------------
 
+
 
+- 1126: no REST, no T2w
 
+- 1172: bad T1w quality due to partial coil disconnect
 
+- 1125, 1213 and 1214 were dropped as pilot subjects (no 1st EEG session or demographics)
 
+- 2142, 2253, 2254, 2255: pilots
 
+- 2131, 2237: runs 3 and 4 missing
 
+- 2132: final volumes missing
 
+
 
+- EyeTracking data and EEG rest are not yet included in this BIDS structure. Please contact kosciessa@mpib-berlin.mpg.de for access.
 
+
 
+ 
+---
 
+
 
+# **DataLad datasets and how to use them**
 
+
 
+This repository is a [DataLad](https://www.datalad.org/) dataset. It provides
 
+fine-grained data access down to the level of individual files, and allows for
 
+tracking future updates. In order to use this repository for data retrieval,
 
+[DataLad](https://www.datalad.org/) is required. It is a free and
 
+open source command line tool, available for all major operating
 
+systems, and builds up on Git and [git-annex](https://git-annex.branchable.com/)
 
+to allow sharing, synchronizing, and version controlling collections of
 
+large files. You can find information on how to install DataLad at
 
+[handbook.datalad.org/en/latest/intro/installation.html](http://handbook.datalad.org/en/latest/intro/installation.html).
 
+
 
+### Get the dataset
 
+
 
+A DataLad dataset can be `cloned` by running
 
+
 
+```
 
+datalad clone <url>
 
+```
 
+
 
+Once a dataset is cloned, it is a light-weight directory on your local machine.
 
+At this point, it contains only small metadata and information on the
 
+identity of the files in the dataset, but not actual *content* of the
 
+(sometimes large) data files.
 
+
 
+### Retrieve dataset content
 
+
 
+After cloning a dataset, you can retrieve file contents by running
 
+
 
+```
 
+datalad get <path/to/directory/or/file>`
 
+```
 
+
 
+This command will trigger a download of the files, directories, or
 
+subdatasets you have specified.
 
+
 
+DataLad datasets can contain other datasets, so called *subdatasets*.
 
+If you clone the top-level dataset, subdatasets do not yet contain
 
+metadata and information on the identity of files, but appear to be
 
+empty directories. In order to retrieve file availability metadata in
 
+subdatasets, run
 
+
 
+```
 
+datalad get -n <path/to/subdataset>
 
+```
 
+
 
+Afterwards, you can browse the retrieved metadata to find out about
 
+subdataset contents, and retrieve individual files with `datalad get`.
 
+If you use `datalad get <path/to/subdataset>`, all contents of the
 
+subdataset will be downloaded at once.
 
+
 
+### Stay up-to-date
 
+
 
+DataLad datasets can be updated. The command `datalad update` will
 
+*fetch* updates and store them on a different branch (by default
 
+`remotes/origin/master`). Running
 
+
 
+```
 
+datalad update --merge
 
+```
 
+
 
+will *pull* available updates and integrate them in one go.
 
+
 
+### Find out what has been done
 
+
 
+DataLad datasets contain their history in the ``git log``.
 
+By running ``git log`` (or a tool that displays Git history) in the dataset or on
 
+specific files, you can find out what has been done to the dataset or to individual files
 
+by whom, and when.
 
+
 
+### More information
 
+
 
+More information on DataLad and how to use it can be found in the DataLad Handbook at
 
+[handbook.datalad.org](http://handbook.datalad.org/en/latest/index.html). The chapter
 
+"DataLad datasets" can help you to familiarize yourself with the concept of a dataset.

+ 27 - 0
dataset_description.json
Vedi File 

@@ -0,0 +1,27 @@
 
+{
 
+	"Authors": [
 
+		"Kosciessa, J.Q.",
 
+		"Garrett, D.D."
 
+	],
 
+	"BIDSVersion": "1.2",
 
+	"KeyWords": [
 
+		[
 
+			"Attention"
 
+		],
 
+		[
 
+			"Uncertainty"
 
+		],
 
+		[
 
+			"EEG"
 
+		],
 
+		[
 
+			"Switching"
 
+		]
 
+	],
 
+	"License": "CC BY 4.0",
 
+	"Name": "EEG recordings Multi-attribute attention task (MAAT)",
 
+	"ReferencesAndLinks": [
 
+		"Kosciessa, J.Q.; Lindenberger, U.; Garrett, D.D. Thalamocortical excitability modulation guides human perception under uncertainty. bioRxiv 2020"
 
+	],
 
+	"Sponsorship": "This study was conducted within the Lifespan Neural Dynamics Group within the Max Planck UCL Centre for Computational Psychiatry and Ageing Research in the Max Planck Institute for Human Development (MPIB) in Berlin, Germany. DDG and NAK were supported by an Emmy Noether Programme grant (to DDG) from the German Research Foundation, and by the Max Planck UCL Centre for Computational Psychiatry and Ageing Research. JQK is a pre-doctoral fellow supported by the International Max Planck Research School on Computational Methods in Psychiatry and Ageing Research (IMPRS COMP2PSYCH). The participating institutions are the Max Planck Institute for Human Development, Berlin, Germany, and University College London, London, UK. For more information, see https://www.mps-ucl-centre.mpg.de/en/comp2psych."
 
+}

+ 257 - 0
derivatives/behav/sub-STSWD1117_task-MAT_behavEEG.csv
Vedi File 

@@ -0,0 +1,257 @@
 
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+ 40 - 0
derivatives/behav/task-MAT_behav.json
Vedi File 

@@ -0,0 +1,40 @@
 
+{
 
+    "TaskName": "multi-attribute task",
 
+    "probe_accuracy": {
 
+		"LongName": "Accuracy",
 
+		"Description": "Trial accuracy"
 
+  	},
 
+  	"probe_rt": {
 
+		"LongName": "Reaction Time",
 
+		"Description": "Trial reaction time"
 
+  	},
 
+  	"probe_attribute": {
 
+		"LongName": "Probed attribute/feature",
 
+		"Description": "1-color, 2-direction, 3-size, 4-luminance; always part of cue set"
 
+  	},
 
+  	"cue_dimensionality": {
 
+		"LongName": "dimensionality",
 
+		"Description": "number of attributes cued in the trial (size of cue set)"
 
+  	},
 
+  	"probe_leftrightwin": {
 
+		"LongName": "winning option of probed feature",
 
+		"Description": "(1 vs, 2, left vs. right target response)"
 
+  	},
 
+  	"cue_color": {
 
+		"LongName": "Trials with color as cued attribute",
 
+		"Description": "(binary: 0-no, 1-yes)"
 
+  	},
 
+  	"cue_direction": {
 
+		"LongName": "Trials with direction as cued attribute",
 
+		"Description": "(binary: 0-no, 1-yes)"
 
+  	},
 
+  	"cue_size": {
 
+		"LongName": "Trials with size as cued attribute",
 
+		"Description": "(binary: 0-no, 1-yes)"
 
+  	},
 
+  	"cue_luminance": {
 
+		"LongName": "Trials with luminance as cued attribute",
 
+		"Description": "(binary: 0-no, 1-yes)"
 
+  	}
 
+  	
+}

+ 17 - 0
participants.json
Vedi File 

@@ -0,0 +1,17 @@
 
+{
 
+	"age": {
 
+		"Description": "age of the participant",
 
+		"Units": "years"
 
+	},
 
+	"mmst": {
 
+		"Description": "mini-mental state examination score (only measured for older adults)",
 
+		"Units": "0-30 points"
 
+	},
 
+	"sex": {
 
+		"Description": "sex of the participant",
 
+		"Levels": {
 
+			"m": "male",
 
+			"f": "female"
 
+		}
 
+	}
 
+}

+ 96 - 0
participants.tsv
Vedi File 

@@ -0,0 +1,96 @@
 
+participant_id	age	sex	mmst
 
+sub-STSWD1117	28	m	n/a
 
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+sub-STSWD1120	27	m	n/a
 
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+sub-STSWD1135	31	m	n/a
 
+sub-STSWD1136	30	m	n/a
 
+sub-STSWD1151	18	m	n/a
 
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+sub-STSWD1164	22	m	n/a
 
+sub-STSWD1167	23	m	n/a
 
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+sub-STSWD1172	32	m	n/a
 
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+ 0 - 0
sub-STSWD1117
Vedi File


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