Changes
On December 12, 2023 at 4:06:23 PM +0800, Albert Yang:
-
Updated description of Taiwan Aging and Mental Illness Cohort from
The Taiwan Aging and Mental Illness Cohort (TAMI) is a magnetic resonance imaging (MRI) study conducted by Professor Albert C. Yang at Taipei Veterans General Hospital, in collaboration with National Yang Ming Chiao Tung University, Yangming campus, since 2012. To date, the study has enrolled 1,265 participants, including 587 healthy individuals and 678 patients with mental illnesses such as schizophrenia, bipolar disorder, and depression. All participants undergo brain imaging scans in the MRI facility at the Yangming campus. In addition to demographic and clinical data, the study also includes structural (Structural and Diffusion Tensor Imaging) and functional MRI data.
to##Overview## The Taiwan Aging and Mental Illness Cohort (TAMI) presents a detailed and extensive Magnetic Resonance Imaging (MRI) study dataset, spearheaded by Professor Albert C. Yang. This project, initiated in 2012, is a collaboration between Taipei Veterans General Hospital and National Yang Ming Chiao Tung University, Yangming campus. It focuses on providing valuable insights into various mental illnesses and their impact on brain structure and function. ##Dataset Composition## __Participants__: The study includes 1,265 participants, encompassing 587 healthy individuals and 678 patients diagnosed with mental illnesses such as schizophrenia, bipolar disorder, and depression. __Imaging Data__: Participants have undergone comprehensive brain imaging scans at the MRI facility located at the Yangming campus. __Types of MRI Data__: __Structural MRI__: Includes data from Structural and Diffusion Tensor Imaging. __Functional MRI__: Provides data on brain activity and function. ##Research Scope and Objectives## To understand the neurological impacts of aging and mental illnesses. To explore the structural and functional brain changes associated with schizophrenia, bipolar disorder, and depression. Additional Data: Along with the MRI scans, the dataset also contains: Demographic information of participants. Detailed clinical data for each participant.
f | 1 | { | f | 1 | { |
2 | "author": "Albert C. Yang, MD", | 2 | "author": "Albert C. Yang, MD", | ||
3 | "author_email": "accyang@nycu.edu.tw", | 3 | "author_email": "accyang@nycu.edu.tw", | ||
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10 | "license_title": "Creative Commons Attribution", | 10 | "license_title": "Creative Commons Attribution", | ||
11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 11 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
12 | "maintainer": "I-Jou Chi", | 12 | "maintainer": "I-Jou Chi", | ||
13 | "maintainer_email": "irene159irene159.md10@nycu.edu.tw", | 13 | "maintainer_email": "irene159irene159.md10@nycu.edu.tw", | ||
14 | "metadata_created": "2023-12-06T01:48:03.763872", | 14 | "metadata_created": "2023-12-06T01:48:03.763872", | ||
n | 15 | "metadata_modified": "2023-12-12T08:02:31.916151", | n | 15 | "metadata_modified": "2023-12-12T08:06:23.315511", |
16 | "name": "taiwan-aging-and-mental-illness-cohort-tami", | 16 | "name": "taiwan-aging-and-mental-illness-cohort-tami", | ||
t | 17 | "notes": "The Taiwan Aging and Mental Illness Cohort (TAMI) is a | t | 17 | "notes": "##Overview##\r\n\r\nThe Taiwan Aging and Mental Illness |
18 | magnetic resonance imaging (MRI) study conducted by Professor Albert | 18 | Cohort (TAMI) presents a detailed and extensive Magnetic Resonance | ||
19 | C. Yang at Taipei Veterans General Hospital, in collaboration with | 19 | Imaging (MRI) study dataset, spearheaded by Professor Albert C. Yang. | ||
20 | National Yang Ming Chiao Tung University, Yangming campus, since 2012. | 20 | This project, initiated in 2012, is a collaboration between Taipei | ||
21 | To date, the study has enrolled 1,265 participants, including 587 | 21 | Veterans General Hospital and National Yang Ming Chiao Tung | ||
22 | University, Yangming campus. It focuses on providing valuable insights | ||||
23 | into various mental illnesses and their impact on brain structure and | ||||
24 | function.\r\n\r\n##Dataset Composition##\r\n\r\n__Participants__: The | ||||
25 | study includes 1,265 participants, encompassing 587 healthy | ||||
22 | healthy individuals and 678 patients with mental illnesses such as | 26 | individuals and 678 patients diagnosed with mental illnesses such as | ||
23 | schizophrenia, bipolar disorder, and depression. All participants | 27 | schizophrenia, bipolar disorder, and depression.\r\n\r\n__Imaging | ||
24 | undergo brain imaging scans in the MRI facility at the Yangming | 28 | Data__: Participants have undergone comprehensive brain imaging scans | ||
25 | campus. In addition to demographic and clinical data, the study also | 29 | at the MRI facility located at the Yangming campus.\r\n\r\n__Types of | ||
26 | includes structural (Structural and Diffusion Tensor Imaging) and | 30 | MRI Data__:\r\n\r\n__Structural MRI__: Includes data from Structural | ||
27 | functional MRI data.", | 31 | and Diffusion Tensor Imaging.\r\n\r\n__Functional MRI__: Provides data | ||
32 | on brain activity and function.\r\n\r\n##Research Scope and | ||||
33 | Objectives##\r\n\r\nTo understand the neurological impacts of aging | ||||
34 | and mental illnesses.\r\n\r\nTo explore the structural and functional | ||||
35 | brain changes associated with schizophrenia, bipolar disorder, and | ||||
36 | depression.\r\nAdditional Data:\r\n\r\nAlong with the MRI scans, the | ||||
37 | dataset also contains:\r\n\r\nDemographic information of | ||||
38 | participants.\r\nDetailed clinical data for each participant.", | ||||
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222 | "description": "This dataset comprises preprocessed MRI images | 233 | "description": "This dataset comprises preprocessed MRI images | ||
223 | acquired from schizophrenia patients. These images have been processed | 234 | acquired from schizophrenia patients. These images have been processed | ||
224 | using FSL to generate data on cortical thickness.", | 235 | using FSL to generate data on cortical thickness.", | ||
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226 | "hash": "", | 237 | "hash": "", | ||
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228 | "last_modified": null, | 239 | "last_modified": null, | ||
229 | "metadata_modified": "2023-12-12T08:02:31.923112", | 240 | "metadata_modified": "2023-12-12T08:02:31.923112", | ||
230 | "mimetype": null, | 241 | "mimetype": null, | ||
231 | "mimetype_inner": null, | 242 | "mimetype_inner": null, | ||
232 | "name": "MRI Cortical Thickness Image Dataset - Schizophrenia", | 243 | "name": "MRI Cortical Thickness Image Dataset - Schizophrenia", | ||
233 | "package_id": "804e1201-067d-4c50-ae36-f549b714a38a", | 244 | "package_id": "804e1201-067d-4c50-ae36-f549b714a38a", | ||
234 | "position": 7, | 245 | "position": 7, | ||
235 | "resource_type": null, | 246 | "resource_type": null, | ||
236 | "size": null, | 247 | "size": null, | ||
237 | "state": "active", | 248 | "state": "active", | ||
238 | "url": | 249 | "url": | ||
239 | hHgmpJx9vJ3E6Hg9dozzyab/uvXeRhty_BrX9JJsvhdi5f-nPPV7Ja7h-GbDA_92r-Ao", | 250 | hHgmpJx9vJ3E6Hg9dozzyab/uvXeRhty_BrX9JJsvhdi5f-nPPV7Ja7h-GbDA_92r-Ao", | ||
240 | "url_type": null | 251 | "url_type": null | ||
241 | } | 252 | } | ||
242 | ], | 253 | ], | ||
243 | "state": "active", | 254 | "state": "active", | ||
244 | "tags": [ | 255 | "tags": [ | ||
245 | { | 256 | { | ||
246 | "display_name": "Mental Health", | 257 | "display_name": "Mental Health", | ||
247 | "id": "7bb6d9bb-aa78-406e-b708-b17c01c16223", | 258 | "id": "7bb6d9bb-aa78-406e-b708-b17c01c16223", | ||
248 | "name": "Mental Health", | 259 | "name": "Mental Health", | ||
249 | "state": "active", | 260 | "state": "active", | ||
250 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
251 | }, | 262 | }, | ||
252 | { | 263 | { | ||
253 | "display_name": "bipolar disorder", | 264 | "display_name": "bipolar disorder", | ||
254 | "id": "e7c29991-0c6e-4235-b730-8fdacba43171", | 265 | "id": "e7c29991-0c6e-4235-b730-8fdacba43171", | ||
255 | "name": "bipolar disorder", | 266 | "name": "bipolar disorder", | ||
256 | "state": "active", | 267 | "state": "active", | ||
257 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
258 | }, | 269 | }, | ||
259 | { | 270 | { | ||
260 | "display_name": "brain", | 271 | "display_name": "brain", | ||
261 | "id": "7828821f-c0ef-4377-98c3-4261eee91cf1", | 272 | "id": "7828821f-c0ef-4377-98c3-4261eee91cf1", | ||
262 | "name": "brain", | 273 | "name": "brain", | ||
263 | "state": "active", | 274 | "state": "active", | ||
264 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
265 | }, | 276 | }, | ||
266 | { | 277 | { | ||
267 | "display_name": "brain image", | 278 | "display_name": "brain image", | ||
268 | "id": "e6e4b86c-3c9b-43a8-9482-f9d6818cbd5d", | 279 | "id": "e6e4b86c-3c9b-43a8-9482-f9d6818cbd5d", | ||
269 | "name": "brain image", | 280 | "name": "brain image", | ||
270 | "state": "active", | 281 | "state": "active", | ||
271 | "vocabulary_id": null | 282 | "vocabulary_id": null | ||
272 | }, | 283 | }, | ||
273 | { | 284 | { | ||
274 | "display_name": "depression", | 285 | "display_name": "depression", | ||
275 | "id": "3263b012-fd20-43ec-8d4b-14d947eb200a", | 286 | "id": "3263b012-fd20-43ec-8d4b-14d947eb200a", | ||
276 | "name": "depression", | 287 | "name": "depression", | ||
277 | "state": "active", | 288 | "state": "active", | ||
278 | "vocabulary_id": null | 289 | "vocabulary_id": null | ||
279 | }, | 290 | }, | ||
280 | { | 291 | { | ||
281 | "display_name": "schizophrenia", | 292 | "display_name": "schizophrenia", | ||
282 | "id": "b8c9c52a-d62f-49eb-9d04-5877b53a2c70", | 293 | "id": "b8c9c52a-d62f-49eb-9d04-5877b53a2c70", | ||
283 | "name": "schizophrenia", | 294 | "name": "schizophrenia", | ||
284 | "state": "active", | 295 | "state": "active", | ||
285 | "vocabulary_id": null | 296 | "vocabulary_id": null | ||
286 | } | 297 | } | ||
287 | ], | 298 | ], | ||
288 | "title": "Taiwan Aging and Mental Illness Cohort", | 299 | "title": "Taiwan Aging and Mental Illness Cohort", | ||
289 | "type": "dataset", | 300 | "type": "dataset", | ||
290 | "url": "", | 301 | "url": "", | ||
291 | "version": "" | 302 | "version": "" | ||
292 | } | 303 | } |