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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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  "extras": [],
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      "description": "",
            
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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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      "title": "Brain Image"
            
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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": "2023-12-12T12:06:37.776461",
            
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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 
27
  "notes": "##Overview##\r\n\r\nThe Taiwan Aging and Mental Illness 
            
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Cohort (TAMI) presents a detailed and extensive Magnetic Resonance 
28
Cohort (TAMI) presents a detailed and extensive Magnetic Resonance 
            
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Imaging (MRI) study dataset, spearheaded by Professor Albert C. Yang. 
29
Imaging (MRI) study dataset, spearheaded by Professor Albert C. Yang. 
            
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This project, initiated in 2012, is a collaboration between Taipei 
30
This project, initiated in 2012, is a collaboration between Taipei 
            
21
Veterans General Hospital and National Yang Ming Chiao Tung 
31
Veterans General Hospital and National Yang Ming Chiao Tung 
            
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University, Yang Ming campus. It focuses on providing valuable 
32
University, Yang Ming campus. It focuses on providing valuable 
            
23
insights into various mental illnesses and their impact on brain 
33
insights into various mental illnesses and their impact on brain 
            
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structure and function.\r\n\r\n##Dataset 
34
structure and function.\r\n\r\n##Dataset 
            
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Composition##\r\n\r\n__Participants__: The study includes 1,265 
35
Composition##\r\n\r\n__Participants__: The study includes 1,265 
            
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participants, encompassing 587 healthy individuals and 678 patients 
36
participants, encompassing 587 healthy individuals and 678 patients 
            
27
diagnosed with mental illnesses such as schizophrenia, bipolar 
37
diagnosed with mental illnesses such as schizophrenia, bipolar 
            
28
disorder, and depression.\r\n\r\n__Imaging Data__: Participants have 
38
disorder, and depression.\r\n\r\n__Imaging Data__: Participants have 
            
29
undergone comprehensive brain imaging scans at the MRI facility 
39
undergone comprehensive brain imaging scans at the MRI facility 
            
30
located at the Yang Ming campus.\r\n\r\n__Types of MRI 
40
located at the Yang Ming campus.\r\n\r\n__Types of MRI 
            
31
Data__:\r\n\r\n__Structural MRI__: Includes data from Structural and 
41
Data__:\r\n\r\n__Structural MRI__: Includes data from Structural and 
            
32
Diffusion Tensor Imaging.\r\n\r\n__Functional MRI__: Provides data on 
42
Diffusion Tensor Imaging.\r\n\r\n__Functional MRI__: Provides data on 
            
33
brain activity and function.\r\n\r\n##Dataset Scope and 
43
brain activity and function.\r\n\r\n##Dataset Scope and 
            
34
Objectives##\r\n\r\nTo understand the neurological impacts of aging 
44
Objectives##\r\n\r\nTo understand the neurological impacts of aging 
            
35
and mental illnesses.\r\n\r\nTo explore the structural and functional 
45
and mental illnesses.\r\n\r\nTo explore the structural and functional 
            
36
brain changes associated with schizophrenia, bipolar disorder, and 
46
brain changes associated with schizophrenia, bipolar disorder, and 
            
37
depression.\r\nAdditional Data:\r\n\r\nAlong with the MRI scans, the 
47
depression.\r\nAdditional Data:\r\n\r\nAlong with the MRI scans, the 
            
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dataset also contains:\r\n\r\nDemographic information of 
48
dataset also contains:\r\n\r\nDemographic information of 
            
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participants.\r\nDetailed clinical data for each 
49
participants.\r\nDetailed clinical data for each 
            
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participant.\r\n\r\n##Citation Guidelines for Using the TAMI 
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participant.\r\n\r\n##Citation Guidelines for Using the TAMI 
            
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Dataset##\r\n\r\nWhen utilizing data from the TAMI in your research, 
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Dataset##\r\n\r\nWhen utilizing data from the TAMI in your research, 
            
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please cite the following paper in your published 
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please cite the following paper in your published 
            
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nhttps://www.sciencedirect.com/science/article/pii/S019745801200276X",
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nhttps://www.sciencedirect.com/science/article/pii/S019745801200276X",
            
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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 
            
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Chiao Tung University. At present, there are 19 colleges, 74 
            
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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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  "title": "Taiwan Aging and Mental Illness Cohort",
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}