Psychiatry Investig.  2017 Nov;14(6):851-863. 10.4306/pi.2017.14.6.851.

Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease: Methodology and Baseline Sample Characteristics

Affiliations
  • 1Institute of Human Behavioral Medicine, Medical Research Center Seoul National University, Seoul, Republic of Korea. selfpsy@snu.ac.kr
  • 2Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
  • 3Department of Neuropsychiatry, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Republic of Korea.
  • 4Department of Psychiatry, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Republic of Korea.
  • 5Department of Neuropsychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
  • 6Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • 7Department of Neuropsychiatry, Kyunggi Provincial Hospital for the Elderly, Yongin, Republic of Korea.
  • 8Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.
  • 9Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • 10Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • 11Department of Biochemistry, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • 12Department of Biomedical Science, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • 13Department of Psychiatry, School of Medicine, Konkuk University, Konkuk University Medical Center, Seoul, Republic of Korea.
  • 14Department of Neuropsychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.
  • 15Department of Neuropsychiatry, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea.

Abstract


OBJECTIVE
The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's disease (KBASE) aimed to recruit 650 individuals, aged from 20 to 90 years, to search for new biomarkers of Alzheimer's disease (AD) and to investigate how multi-faceted lifetime experiences and bodily changes contribute to the brain changes or brain pathologies related to the AD process.
METHODS
All participants received comprehensive clinical and neuropsychological evaluations, multi-modal brain imaging, including magnetic resonance imaging, magnetic resonance angiography, [11C]Pittsburgh compound B-positron emission tomography (PET), and [18F]fluorodeoxyglucose-PET, blood and genetic marker analyses at baseline, and a subset of participants underwent actigraph monitoring and completed a sleep diary. Participants are to be followed annually with clinical and neuropsychological assessments, and biannually with the full KBASE assessment, including neuroimaging and laboratory tests.
RESULTS
As of March 2017, in total, 758 individuals had volunteered for this study. Among them, in total, 591 participants-291 cognitively normal (CN) old-aged individuals, 74 CN young- and middle-aged individuals, 139 individuals with mild cognitive impairment (MCI), and 87 individuals with AD dementia (ADD)-were enrolled at baseline, after excluding 162 individuals. A subset of participants (n=275) underwent actigraph monitoring.
CONCLUSION
The KBASE cohort is a prospective, longitudinal cohort study that recruited participants with a wide age range and a wide distribution of cognitive status (CN, MCI, and ADD) and it has several strengths in its design and methodologies. Details of the recruitment, study methodology, and baseline sample characteristics are described in this paper.

Keyword

Alzheimer's disease; Early diagnosis; Prediction; Biomarker; Prospective cohort study

MeSH Terms

Aging*
Alzheimer Disease*
Biomarkers
Brain*
Cohort Studies
Dementia
Early Diagnosis*
Genetic Markers
Magnetic Resonance Angiography
Magnetic Resonance Imaging
Mild Cognitive Impairment
Neuroimaging
Pathology
Prospective Studies
Biomarkers
Genetic Markers
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