NBDC Research ID: hum0043.v1

 

SUMMARY

Aims: Japanese ADNI aims to establish imaging and biofluid markers that can predict and monitor the progression of changes in the brains of elderly individuals with AD, mild cognitive impairment (MCI) or normal cognition, and eventually be used as a surrogate markers for the clinical trials of DMDs for AD.

Methods: The research protocol includes structural MRI analysis, FDG and amyloid PET, CSF sampling, apoE genotyping, combined with a set of clinical and psychometric tests that were prepared to achieve the highest compatibility to those used in US-ADNI.

Participants/Materials::Participants enrolled in a longitudinal study: 537 (healthly elderly controls: 154, mild cognitive impairment (MCI): 234, Alzheimer's disease (AD): 149)

 

Dataset IDType of DataCriteriaRelease Date

1.

JGAS000051

Clinical and Psychometric Tests, Special Mention, Biochemical Tests, MRI Scan (1.5T, 3T), PET Scan (FDG, Amyloid (PIB, BF227))

Controlled-access
(Type I)

2016/1/29

2.

File_list_J-ADNI.pdf

List of Downloadable Files

Unrestricted-access

2016/1/29

3.

Data_dictionary_J-ADNI.tsv

Data Dictionary(Description of each field in table data)

Unrestricted-access

2016/1/29

4.

J-ADNI_MRIQC_Ver1.1.pdf

Quality Control Procedures for MRI

Unrestricted-access

2016/1/29

5.

J-ADNI_PETQC_Ver1.1.pdf

Quality Control Procedures for PET

Unrestricted-access

2016/1/29

* Release Note

* Restrictions on data use:NBDC policy

*Data users need to apply an application for Using NBDC Human Data to reach the Controlled-access Data. Learn more

* There is a special mention on a small portion of participants. Please make sure of it before use. Records of the participants are marked for attention in the "s.m." column of table data.

* When the research results including the data which were downloaded from NHA/DRA, are published or presented somewhere, the data user must refer the papers which are related to the data, or include in the acknowledgment. Learn more

* Citation on publication for scientific papers using J-ADNI data.

 

Data Summary

Dataset ID: JGAD000051 (288 GB)

 

1.Clinical and Psychometric Tests

CRF NameCRF DescriptionFile Name File Format(Extension)ZIP File Name
ADAS*1 ADAS-Cognitive Behavior ADAS_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
ADASSCORES ADAS Sub-Scores and Total Scores ADASSCORES_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
ADSXLIST Diagnosis and Symptoms Checklist ADSXLIST_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
ARM Diagnosis/Scan Category Assignment ARM_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
BLCHANGE Diagnostic Summary - Baseline Changes BLCHANGE_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
BLSCHECK Baseline Symptoms Checklist BLSCHECK_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
CDR*2 Clinical Dementia Rating CDR_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
CONVERSIONS Conversions Confirmed by Conversion Committee CONVERSIONS_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
EXCLUSIO Exclusion Criteria EXCLUSIO_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
FAQ*3 Functional Assessment Questionnaire FAQ_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
FHQ Family History Questionnaire FHQ_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
GDSCALE*4 Geriatric Depression Scale GDSCALE_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
INCLUSIO Inclusion Criteria INCLUSIO_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
MEDHIST Medical History MEDHIST_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
MMSE*5 Mini Mental State Exam MMSE_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
MODHACH*6 Modified Hachinski MODHACH_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
NEUROBAT Neuropsychological Battery NeuroBAT_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
NEUROEXM Neurological Exam NEUROEXM_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
NPIQ*7 Neuropsychiatric Inventory Q NPIQ_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
PDXCONV Diagnostic Summary PDXCONV_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
PHYSICAL Physical Exam PHYSICAL_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
PTDEMOG Participant Demographic Information PTDEMOG_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
RECFHQ Family History Questionnaire Subtable RECFHQ_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
REGISTRY Registry REGISTRY_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
TREATDIS Early Discontinuation and Withdrawal TREATDIS_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip
VITALS Vital Signs VITALS_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_cognitive.zip

※1:Rosen WG, Mohs RC, Davis KL. A new rating scale for Alzheimer's disease. The American Journal of Psychiatry. 1984;141(11):1356–1364. PMID 6496779

※2:Hughes CP, Berg L, Danziger WL, Coben LA, Martin RL. A new clinical scale for the staging of dementia. Br J Psychiatry. 1982 Jun;140:566-72. PMID 7104545

※3:Pfeffer RI, Kurosaki TT, Harrah CH, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol. 1982;37:323–329. PMID 7069156

※4:Yesavage JA, Brink TL, Rose TL, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982-83;17(1):37-49. PMID 7183759

※5:Folstein, MF; Folstein, SE; McHugh, PR (1975). ""Mini-mental state". A practical method for grading the cognitive state of patients for the clinician". Journal of Psychiatric Research 12 (3): 189–98. PMID 1202204

※6:Hachinski VC. Multi-infarct dementia: a cause of mental deterioration in the elderly. Lancet. 1974;2:207–9. PMID 4135618

※7:Cummings, J., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A., & Gornbein, J. (1994). The Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia. Neurology, 44, 2308-2314. PMID 7991117

 

2.Special Mention

ContentsFile NameFile Format(Extension)
Multidomain Amnestic MCI SpecialMention.xlsx Microsoft Excel (.xlsx)
Exceptional Enrollement SpecialMention.xlsx Microsoft Excel (.xlsx)
Delayed Interval for LMII SpecialMention.xlsx Microsoft Excel (.xlsx)
Exceptional Use of Prohibited Drugs SpecialMention.xlsx Microsoft Excel (.xlsx)
Cases Converted Twice SpecialMention.xlsx Microsoft Excel (.xlsx)
Additional Comments on Consent SpecialMention.xlsx Microsoft Excel (.xlsx)

 

3.Biochemical Tests

CRF NameCRF DescriptionFile Name File Format(Extension)ZIP File Name
APOE ApoE Genotyping APOE_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_biochemical.zip
BLOOD Perpheral Blood BLOOD_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_biochemical.zip
BLOOD_EXAMITEM Explanation and Normal Values of Examination Item in BLOOD BLOOD_EXAMITEM_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_biochemical.zip
CSF Cerebrospinal Fluid (CSF) CSF_J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_biochemical.zip

 

4.MRI scan (1.5T, 3T)

4.1 Quality Control

CRF NameCRF DescriptionFile Name File Format(Extension)ZIP File Name
MRIQC MRI Scan Information MRIQC-J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_mriqc.zip

※ See J-ADNI_MRIQC_Ver1.1.pdf and MRI Scanner list for MRI quality control procedures

4.2 MRI Images

FreeSurfer version 5.1 was used for analysis.

Directory NameDescriptionFile Name File Format(Extension)ZIP File Name
Original Raw MRI Images obtained from MRI Scanners See File_list_J-ADNI.pdf Neuroimaging Informatics Technology Initiative (NIfTI) image file format (.nii) JADNI####_mri.zip
DistortionCorrected Distortion in the raw MRI Image was corrected by using methods developed in J-ADNI project See File_list_J-ADNI.pdf Neuroimaging Informatics Technology Initiative (NIfTI) image file format (.nii) JADNI####_mri.zip

4.3 FreeSurfer Analysis

Analysis DescriptionFile Name File Format(Extension)ZIP File Name
Subcortical Segmentation containing the Volumes of Specific Structures aseg.stats Tab Separated Variables JADNI_freesurfer.zip
Cortical Parcellation containing Thickness of Specific Structures based on Destrieux Atlas lh.aparc.a2009s.stats(Left Hemisphere)
rh.aparc.a2009s.stats(Right Hemisphere)
Tab Separated Variables JADNI_freesurfer.zip
Cortical Parcellation containing Thickness of Specific Structures based on Desikan-Killiany Atlas lh.aparc.stats(Left Hemisphere)
rh.aparc.stats(Right Hemisphere)
Tab Separated Variables JADNI_freesurfer.zip
Cortical Parcellation containing Thickness of Specific Structures based on Broadman Area Map llh.BA.stats(Left Hemisphere)
rh.BA.stats(Right Hemisphere)
Tab Separated Variables JADNI_freesurfer.zip
Cortical Parcellation containing Curvature for Cortical Thickness lh.curv.stats(Left Hemisphere)
rh.curv.stats(Right Hemisphere)
Tab Separated Variables JADNI_freesurfer.zip
Cortical Parcellation containing Thickness of Entorhinal Cortex lh.entorhinal_exvivo.stats(Left Hemisphere)
rh.entorhinal_exvivo.stats(Right Hemisphere)
Tab Separated Variables JADNI_freesurfer.zip
Subcortical Segmentation containing White Matter Parcellation Volumes wmparc.stats Tab Separated Variables JADNI_freesurfer.zip

 

5. PET Scan (FDG and Amyloid (PIB, BF227))

The FDG PET images were pre-processed with step 3, "CO-REG, AVG, STANDARDIZED IMAGE AND VOXEL SIZE" of the ADNI protocol.

See https://adni.loni.usc.edu/methods/pet-analysis-method/pet-analysis/ for details.

5.1 Quality Control

CRF NameCRF DescriptionFile Name File Format(Extension)ZIP File Name
PETQC PET Scan Information PETQC-J-ADNI.tsv Tab Separated Variables (.tsv) JADNI_petpc.zip

※ See J-ADNI_PETQC_Ver1.1.pdf and PET Scanner list for PET quality control procedures.

5.2 PET Images

DescriptionFile Name File Format(Extension)ZIP File Name
PET Images(Post-processed) See File_list_J-ADNI.pdf Analyze image file format (.hdr/.img) JADNI####_pet.zip

 

DATA PROVIDER

Principal Investigator:  Takeshi Iwatsubo

Affiliation: Department of Neuropathology, Graduate School of Medicine, the University of Tokyo

Project / Group Name: Japanese Alzheimer's disease neuroimaging initiative (J-ADNI)  (List of Authors, Citation Information)

Funds / Grants (Research Project Number): 

NameTitleProject Number

New Energy and Industrial Technology Development Organization of Japan (NEDO)

Translational Research Promotion Project

Research Project for the Development of a Systematic Method for the Assessment of Alzheimer's Disease 20100000001577

Health Labour Sciences Research Grant

Research on Dementia

Multisite longitudinal study for the evaluation of clinical manifestation and progression of Alzheimer disease: J-ADNI core study H19-Dementia Research-024

Health Labour Sciences Research Grant

Research on Dementia

J-ADNI core study: analysis and application of imaging biomarkers and establishment of clinical study network H22-Dementia Research-009
Life Science Database Integration Project (Database Integration Coordination Program) of Japan Science and Technology Agency

Study on integration of the human brain related diseases imaging data

None

 

PUBLICATIONS

TitleDOIDataset ID
1 Japanese and North American Alzheimer's Disease Neuroimaging Initiative studies: Harmonization for international trials. doi: 10.1016/j.jalz.2018.03.009 JGAD000051

 

USERS (Controlled-access Data)

Principal InvestigatorAffiliationCountry/RegionResearch TitleData in Use (Dataset ID)Period of Data Use
Michael C Donohue University of Southern California, Alzheimers Therapeutic Research Institute JGAD000051 2016/03/30-2017/12/31
Ryuichi Takahashi Hyogo Prefectural Rehabilitation Hospital at Nishi-Harima, Department of Neurology JGAD000051 2016/04/27-2018/02/28
Kenji Ishii Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Neuroimaging Research Team JGAD000051 2016/05/02-2019/03/31
Hiroshi Matsuda National Center of Neurology and Psychiatry, Integrative Brain Imaging Center JGAD000051 2016/06/01-2020/03/31
Weining Robieson AbbVie JGAD000051 2016/08/04-2022/06/15
Michio Senda Division of Molecular Imaging, Institute of Biomedical Research and Innovation JGAD000051 2016/08/04-2020/03/31
Ken Aoshima hhc Data Creation Center, Eisai Co., Ltd. JGAD000051 2016/10/01-2019/03/31
Takashi Kato Department of Radiology, National Center for Geriatrics and Gerontology JGAD000051 2016/10/14-2022/03/31
Masashi Kikuchi MSD K.K. Japan Development Clinical Research Neuroscience Group Omics research for dementia based on clinical and genome data JGAD000051 2016/10/12-2020/03/31
Hiroshi Suzuki Department of Pharmacy, The University of Tokyo Hospital JGAD000051 2017/01/11-2021/12/18
Masayasu Okochi Department of Psychiatry, Osaka University Graduate School of Medicine JGAD000051 2017/02/02-2021/12/10
Joyce Suhy Bioclinica, Inc. JGAD000051 2017/04/04-2019/11/21
Toshiharu Suzuki Faculty of Pharmaceutical Sciences, Hokkaido University JGAD000051 2017/05/02-2021/03/31
Danielle Harvey UC Davis, Division of Biostatistics JGAD000051 2017/05/02-2020/04/14
Jae-Won Jang Department of Neurology, Kangwon National University Hospital JGAD000051 2017/05/02-2017/10/13
Masayuki Sasaki Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University JGAD000051 2017/06/21-2022/03/31
Akihiko Shiino Molecular Neuroscience Research Center, Shiga University of Medical Science JGAD000051 2017/06/30-2018/05/31
Kiyoto Kasai Department of Neuropsychiatry, the University of Tokyo Hospital JGAD000051 2017/07/19-2020/11/28
Yuanzhong Li Imaging Technology Center, FUJIFILM Corpration JGAD000051 2017/09/05-2022/05/31
Atsushi Iwata Department of Neurology, the University of Tokyo Hospital JGAD000051 2017/09/21-2022/03/31
Tosimasa Yamamoto Saitama Medical University Neurology JGAD000051 2017/09/14-2020/09/01
Kazushi Suzuki Unit for early and exploratory development, the University of Tokyo Hospital JGAD000051 2017/10/11-2022/06/30
Tsukasa Funane Hitachi, Ltd., Research & Development Group, Center for Exploratory Research JGAD000051 2017/12/11-2020/03/31
Tadanori Fukami Graduate school of science and engineering, Yamagata University JGAD000051 2017/12/26-2020/03/31
Shuhei Yamaguchi Department of Internal Medicine III, Faculty of Medicine, Shimane University JGAD000051 2018/01/09-2022/03/31
Manabu Ishida ERISA Co., Ltd. JGAD000051 2018/01/09-2022/03/31
Tetsutaro Ono

Dai Nippon Printing Co., Ltd.

Communication & Information Center / Information Innovation Operations

JGAD000051 2018/04/20-2022/03/31
Sayuri Watanabe Janssen pharmaceutical K.K, R&D, Clinical science division JGAD000051 2018/06/07-2023/05/01
Eric Westman Karolinska Institutet, NVS Department, Division of Clinical Geriatris JGAD000051 2018/09/11-2021/09/01
Nancy Maserijian Biogen JGAD000051 2018/10/04-2021/12/31
Masataka Kikuchi Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo Japan Omics research for dementia based on clinical and genome data JGAD000051 2019/01/21-2027/06/30
Chiristian Nunez Parc Sanitari Sant Joan de Déu, Research Unit JGAD000051 2019/03/13-2019/12/31
Naoki Tomita Geriatric medicine and neuroimaging, Tohoku university hospital JGAD000051 2019/06/06-2023/03/31
Akira Suda Department of Psychiatry, Yokohama City University Hospital Retrospective investigation on relationship between immunological biomarkers and clinical findings of Alzheimer's disease JGAD000051 2020/01/09-2024/03/31
Hisatomo Kowa Division of Cognitive and Psychiatric Rehabilitation, Dept of Rehabilitation Science, Kobe University Graduate School of Health Sciences Optimizing Evaluation Method for Cognitive Function of Aged People Based on the J-ADNI Database JGAD000051 2020/01/15-2021/12/31
Martin Hofmann-Apitius Department for Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing SCAI The Virtual Brain - Cloud (Personalized Recommendations for Neurodegenerative Diseases) JGAD000051 2020/03/11-2022/10/31
Akinori Miyashita Department of Molecular Genetics, Brain Research Institute, Niigata University Study on dementia with large-scare omics data JGAD000051 2020/06/04-2023/01/23
Colin L Masters AIBL, The Florey Institute, The University of Melbourne The Australian Imaging and Biomarker Study (AIBL) Flagship Study of Ageing JGAD000051 2020/09/22-2022/06/14
Pieter Jelle Visser Maastricht University, Department of Psychiatry and Neuropsychology, and VU University Medical Centre, Department of Neurology Amyloid Biomarker Study JGAD000051 2020/11/09-2024/05/01
Akihiro Hirakawa Clinical Research Center, Medical Hospital, Tokyo Medical and Dental University Development and validation of disease progression prediction model in Alzheimer’s disease using cognitive assessment data JGAD000051 2020/11/16-2025/03/31
Masahiko Takemura Open Health Initiative Developing and validating models that predict cognitive decline JGAD000051 2021/05/06-2024/02/29
Junko Hara EMBIC Research & Development Developing Hierarchical Bayesian Cognitive Processing Models for Description, Group Differentiation, and Prediction with Wordlist Memory Test JGAD000051 2021/05/20-2022/06/30
Hieab Adams Clinical Genetics, Erasmus MC Uncovering Neurodegenerative Insights Through Ethnic Diversity JGAD000051 2021/05/24-2024/04/11
Tadanori Fukami Graduate school of science and engineering, Yamagata University Longitudinal analysis for J-ADNI database by MRI/PET image fusion JGAD000051 2021/06/18-2026/03/31
Kazushi Suzuki National Defense Medical College Natural history study of neurodegenerative diseases using clinical research data JGAD000051 2021/08/10-2026/03/31
Hiroki Masuda Department of Neurology, Graduate School of Medicine, Chiba University Analysis of the longitudinal brain atrophy and cognitive function in patients with multiple sclesosis and neuromyelitis optica spectrum disorder. JGAD000051 2021/11/19-2023/03/31
Yoon Seong Choi Yonsei University College of Medicine A deep learning model for Alzheimer disease based on 18F-FDG=PET: prognostication of mild cognitive impairment JGAD000051 2021/12/21-2022/12/05
Kaoru Sakatani AICOG Labo, Iko Health Technologies Study on the risk prediction of dementia by analyzing the Human Database: J-ADNI JGAD000051 2022/02/18-2025/03/31
Qian Gao Cytox Group Head of Genetics and Bioinformatics (Research and Development) Proposed project title: Evaluation of the performance of genoSCORE for predicting onset of Alzheimer’s disease in a Japanese population JGAD000051 2022/03/08-2023/01/27
Christian Wachinger Artificial Intelligence in Radiology Department of Radiology, Technical University of Munich Replication of neural network predictions on independent test data JGAD000051 2022/03/28-2026/12/31
Gregor Kuhlenbaeumer The University Medical Center Schleswig-Holstein Conducting a genome-wide association study investigating antibody-mediated encephalitides. JGAD000051 2022/04/07-2025/02/11
Marcus Makowski Technical University of Munich Replication of neural network predictions on independent test data JGAD000051 2022/03/25-2023/12/31
Ting-Wei Weng Translational Imaging Research Center, Taipei Medical University Taiwan Building a national model of data hub for healthy aging JGAD000051 2022/05/16-2022/06/17
Sandra Black LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute Canada Comparative study on the longitudinal changes in cerebral small vessel disease between Japanese and Western country populations JGAD000051 2022/07/09-2025/03/31
Tatsuya Ando Computational Biology, Research, Takeda Pharmaceutical Company Limited Japan Development of machine learning prediction model for detecting neurodegenerative diseases using J-ADNI human brain image data JGAD000051 2022/09/19-2025/05/31
Fan Yi Zhejiang University College of Computer Science and Technology China Research on the analysis method of chronic disease evolution process based on data mining of electronic medical records JGAD000051 2022/11/22-2023/12/31
Chengan Guo School of Information and Communication Engineering, Dalian University of Technology China Research on early diagnoses for Alzheimer's disease and mild cognitive impairment based on deep learning JGAD000051 2023/06/12-2023/08/31
Sreevani Katabathula Case Western Reserve University United States of America Subtype Analysis in Mild cognitive impairment of Alzheimer’s disease JGAD000051 2023/08/09-2024/08/01
Mikihiro Yasuda Kwansei Gakuin University Japan Construction of a method for analyzing brain networks based on fMRI data JGAD000051 2023/08/25-2025/03/31
Shahrum Shah Abdullah Department of Electronic Systems Engineering, Malaysia-Japan International Institute of Technology Malaysia Diagnosing Alzheimer’s Disease in a Japanese Population Using Deep Learning Approach JGAD000051 2023/12/26-2024/10/17
Dittapong Songsaeng Department of Radiology, Siriraj Hospital Thailand Technical, clinical validation and diagnostic accuracy of artificial intelligence (AI) based quantitative structural MRI application for dementia diagnosis in Thai population JGAD000051 2024/01/25-2024/07/09
Mongkol Ekpanyapong AI Center, Asian Institute of Technology (AIT) Thailand Technical, clinical validation and diagnostic accuracy of artificial intelligence (AI) based quantitative structural MRI application for dementia diagnosis in Thai population JGAD000051 2024/01/25-2024/07/09
Buckley Rachel Massachusetts General Hospital United States of America Building predictive algorithms to identify resilience and resistance to Alzheimer’s disease JGAD000051 2024/02/15-2024/08/19
Katsumi Aoyagi Research and Development Division, Fujirebio Inc. Japan Diagnostic Potential of Dementia Biomarkers in Japanese Clinical Cases JGAD000051 2024/09/03-2025/08/31