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  "author": "Albert C. Yang, MD",
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  "author": "Albert C. Yang, MD",
            
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  "author_email": "accyang@nycu.edu.tw",
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  "author_email": "accyang@nycu.edu.tw",
            
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  "creator_user_id": "1d214521-cf55-43ab-8a2a-1d7307cf05e7",
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  "creator_user_id": "1d214521-cf55-43ab-8a2a-1d7307cf05e7",
            
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  "extras": [],
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  "extras": [],
            
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  "groups": [
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  "groups": [
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Brain Image",
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      "display_name": "Brain Image",
            
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      "id": "9765d9ee-aa92-4df1-a4e8-449093b96e9d",
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      "id": "9765d9ee-aa92-4df1-a4e8-449093b96e9d",
            
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      "image_display_url": 
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      "image_display_url": 
            
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ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061942.864108.png",
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ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061942.864108.png",
            
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      "name": "brain-image",
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      "name": "brain-image",
            
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      "title": "Brain Image"
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      "title": "Brain Image"
            
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    },
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Medical Image",
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      "display_name": "Medical Image",
            
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      "image_display_url": 
            
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ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061643.512798.png",
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ps://data.dmc.nycu.edu.tw/uploads/group/2022-05-20-061643.512798.png",
            
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      "name": "medical-image",
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      "name": "medical-image",
            
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      "title": "Medical Image"
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      "title": "Medical Image"
            
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    }
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  ],
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  "id": "804e1201-067d-4c50-ae36-f549b714a38a",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "cc-by",
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
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  "license_title": "Creative Commons Attribution",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by",
            
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  "maintainer": "I-Jou Chi",
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  "maintainer": "I-Jou Chi",
            
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  "maintainer_email": "irene159irene159.md10@nycu.edu.tw",
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  "maintainer_email": "irene159irene159.md10@nycu.edu.tw",
            
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  "metadata_created": "2023-12-06T01:48:03.763872",
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  "metadata_created": "2023-12-06T01:48:03.763872",
            
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  "metadata_modified": "2023-12-26T17:38:17.512654",
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  "metadata_modified": "2023-12-26T17:39:46.314114",
            
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  "name": "taiwan-aging-and-mental-illness-cohort-tami",
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  "name": "taiwan-aging-and-mental-illness-cohort-tami",
            
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  "notes": "##Overview##\r\n\r\nThe Taiwan Aging and Mental Illness 
36
  "notes": "##Overview##\r\n\r\nThe Taiwan Aging and Mental Illness 
            
37
Cohort (TAMI) presents a detailed and extensive Magnetic Resonance 
37
Cohort (TAMI) presents a detailed and extensive Magnetic Resonance 
            
38
Imaging (MRI) study dataset, spearheaded by Professor Albert C. Yang. 
38
Imaging (MRI) study dataset, spearheaded by Professor Albert C. Yang. 
            
39
This project, initiated in 2012, is a collaboration between Taipei 
39
This project, initiated in 2012, is a collaboration between Taipei 
            
40
Veterans General Hospital and National Yang Ming Chiao Tung 
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Veterans General Hospital and National Yang Ming Chiao Tung 
            
41
University, Yang Ming campus. It focuses on providing valuable 
41
University, Yang Ming campus. It focuses on providing valuable 
            
42
insights into various mental illnesses and their impact on brain 
42
insights into various mental illnesses and their impact on brain 
            
43
structure and function.\r\n\r\n##Dataset 
43
structure and function.\r\n\r\n##Dataset 
            
44
Composition##\r\n\r\n__Participants__: The study includes 1,265 
44
Composition##\r\n\r\n__Participants__: The study includes 1,265 
            
45
participants, encompassing 587 healthy individuals and 678 patients 
45
participants, encompassing 587 healthy individuals and 678 patients 
            
46
diagnosed with mental illnesses such as schizophrenia, bipolar 
46
diagnosed with mental illnesses such as schizophrenia, bipolar 
            
47
disorder, and depression.\r\n\r\n__Imaging Data__: Participants have 
47
disorder, and depression.\r\n\r\n__Imaging Data__: Participants have 
            
48
undergone comprehensive brain imaging scans at the MRI facility 
48
undergone comprehensive brain imaging scans at the MRI facility 
            
49
located at the Yang Ming campus.\r\n\r\n__Types of MRI 
49
located at the Yang Ming campus.\r\n\r\n__Types of MRI 
            
50
Data__:\r\n\r\n__Structural MRI__: Includes data from Structural and 
50
Data__:\r\n\r\n__Structural MRI__: Includes data from Structural and 
            
51
Diffusion Tensor Imaging.\r\n\r\n__Functional MRI__: Provides data on 
51
Diffusion Tensor Imaging.\r\n\r\n__Functional MRI__: Provides data on 
            
52
brain activity and function.\r\n\r\n##Dataset Scope and 
52
brain activity and function.\r\n\r\n##Dataset Scope and 
            
53
Objectives##\r\n\r\nTo understand the neurological impacts of aging 
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Objectives##\r\n\r\nTo understand the neurological impacts of aging 
            
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and mental illnesses.\r\n\r\nTo explore the structural and functional 
54
and mental illnesses.\r\n\r\nTo explore the structural and functional 
            
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brain changes associated with schizophrenia, bipolar disorder, and 
55
brain changes associated with schizophrenia, bipolar disorder, and 
            
56
depression.\r\nAdditional Data:\r\n\r\nAlong with the MRI scans, the 
56
depression.\r\nAdditional Data:\r\n\r\nAlong with the MRI scans, the 
            
57
dataset also contains:\r\n\r\nDemographic information of 
57
dataset also contains:\r\n\r\nDemographic information of 
            
58
participants.\r\nDetailed clinical data for each 
58
participants.\r\nDetailed clinical data for each 
            
59
participant.\r\n\r\n##Citation Guidelines for Using the TAMI 
59
participant.\r\n\r\n##Citation Guidelines for Using the TAMI 
            
60
Dataset##\r\n\r\nWhen utilizing data from the TAMI in your research, 
60
Dataset##\r\n\r\nWhen utilizing data from the TAMI in your research, 
            
61
please cite the following paper in your published 
61
please cite the following paper in your published 
            
62
nhttps://www.sciencedirect.com/science/article/pii/S019745801200276X",
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nhttps://www.sciencedirect.com/science/article/pii/S019745801200276X",
            
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    "description": "National Yang Ming Chiao Tung University (NYCU; 
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    "description": "National Yang Ming Chiao Tung University (NYCU; 
            
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Chinese: \u570b\u7acb\u967d\u660e\u4ea4\u901a\u5927\u5b78) is a public 
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Chinese: \u570b\u7acb\u967d\u660e\u4ea4\u901a\u5927\u5b78) is a public 
            
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research university in Taipei and Hsinchu, Taiwan. It was created in 
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research university in Taipei and Hsinchu, Taiwan. It was created in 
            
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2021 through the merger of National Yang-Ming University and National 
71
2021 through the merger of National Yang-Ming University and National 
            
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Chiao Tung University. At present, there are 19 colleges, 74 
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Chiao Tung University. At present, there are 19 colleges, 74 
            
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university/college level research centers, and 1 hospital in Yilan.",
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university/college level research centers, and 1 hospital in Yilan.",
            
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schizophrenia subjects.",
            
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      "description": "This dataset comprises preprocessed MRI images 
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      "description": "This dataset comprises preprocessed MRI images 
            
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acquired from schizophrenia patients. These images have been processed 
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acquired from schizophrenia patients. These images have been processed 
            
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using Freesurfer to generate data on brain structural features.",
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using Freesurfer to generate data on brain structural features.",
            
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      "vocabulary_id": null
378
      "vocabulary_id": null
            
353
    }
379
    }
            
354
  ],
380
  ],
            
355
  "title": "Taiwan Aging and Mental Illness Cohort",
381
  "title": "Taiwan Aging and Mental Illness Cohort",
            
356
  "type": "dataset",
382
  "type": "dataset",
            
357
  "url": "",
383
  "url": "",
            
358
  "version": ""
384
  "version": ""
            
359
}
385
}