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Kim GH, Kim J, Choi WS, Kim YK, Lee KH, Jang JW, Kim JG, Ryu HJ, Yang SJ, Jang H, Jung NY, Kim KW, Jeong Y, Moon SY. Executive Summary of 2023 International Conference of the Korean Dementia Association (IC-KDA 2023): A Report From the Academic Committee of the Korean Dementia Association. Dement Neurocogn Disord 2024; 23:75-88. [PMID: 38720824 PMCID: PMC11073927 DOI: 10.12779/dnd.2024.23.2.75] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 04/07/2024] [Accepted: 04/10/2024] [Indexed: 05/12/2024] Open
Abstract
The Korean Dementia Association (KDA) has been organizing biennial international academic conferences since 2019, with the International Conference of the KDA (IC-KDA) 2023 held in Busan under the theme 'Beyond Boundaries: Advancing Global Dementia Solutions.' The conference comprised 6 scientific sessions, 3 plenary lectures, and 4 luncheon symposiums, drawing 804 participants from 35 countries. Notably, a Korea-Taiwan Joint Symposium addressed insights into Alzheimer's disease (AD). Plenary lectures by renowned scholars explored topics such as microbiome-related AD pathogenesis, social cognition in neurodegenerative diseases, and genetic frontotemporal dementia (FTD). On the first day, specific presentations covered subjects like the gut-brain axis and neuroinflammation in dementia, blood-based biomarkers in AD, and updates in AD therapeutics. The second day's presentations addressed recent issues in clinical neuropsychology, FTD cohort studies, and the pathogenesis of non-AD dementia. The Academic Committee of the KDA compiles lecture summaries to provide comprehensive understanding of the advanced dementia knowledge presented at IC-KDA 2023.
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Affiliation(s)
- Geon Ha Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University, College of Medicine, Seoul, Korea
| | - Jaeho Kim
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Won-Seok Choi
- School of Biological Sciences and Technology, College of Natural Sciences, Chonnam National University, Gwangju, Korea
| | - Yun Kyung Kim
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, Korea
| | - Kun Ho Lee
- Department of Biomedical Science, Chosun University, Gwangju, Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jae Gwan Kim
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea
| | - Hui Jin Ryu
- Department of Neurology, Konkuk University Medical Center, Seoul, Korea
| | - Soh-Jeong Yang
- Department of Neurology, Severance Hospital of Yonsei University Health System, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Yong Jeong
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
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Na S, Kang DW, Kim GH, Kim KW, Kim Y, Kim HJ, Park KH, Park YH, Byeon G, Suh J, Shin JH, Shim Y, Yang Y, Um YH, Oh SI, Wang SM, Yoon B, Yoon HJ, Lee SM, Lee J, Lee JS, Rhee HY, Lim JS, Jung YH, Chin J, Hong YJ, Jang H, Choi H, Choi M, Jang JW. The Usefulness of 18F-FDG PET to Differentiate Subtypes of Dementia: The Systematic Review and Meta-Analysis. Dement Neurocogn Disord 2024; 23:54-66. [PMID: 38362056 PMCID: PMC10864694 DOI: 10.12779/dnd.2024.23.1.54] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/17/2024] Open
Abstract
Background and Purpose Dementia subtypes, including Alzheimer's dementia (AD), dementia with Lewy bodies (DLB), and frontotemporal dementia (FTD), pose diagnostic challenges. This review examines the effectiveness of 18F-Fluorodeoxyglucose Positron Emission Tomography (18F-FDG PET) in differentiating these subtypes for precise treatment and management. Methods A systematic review following Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines was conducted using databases like PubMed and Embase to identify studies on the diagnostic utility of 18F-FDG PET in dementia. The search included studies up to November 16, 2022, focusing on peer-reviewed journals and applying the gold-standard clinical diagnosis for dementia subtypes. Results From 12,815 articles, 14 were selected for final analysis. For AD versus FTD, the sensitivity was 0.96 (95% confidence interval [CI], 0.88-0.98) and specificity was 0.84 (95% CI, 0.70-0.92). In the case of AD versus DLB, 18F-FDG PET showed a sensitivity of 0.93 (95% CI 0.88-0.98) and specificity of 0.92 (95% CI, 0.70-0.92). Lastly, when differentiating AD from non-AD dementias, the sensitivity was 0.86 (95% CI, 0.80-0.91) and the specificity was 0.88 (95% CI, 0.80-0.91). The studies mostly used case-control designs with visual and quantitative assessments. Conclusions 18F-FDG PET exhibits high sensitivity and specificity in differentiating dementia subtypes, particularly AD, FTD, and DLB. This method, while not a standalone diagnostic tool, significantly enhances diagnostic accuracy in uncertain cases, complementing clinical assessments and structural imaging.
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Affiliation(s)
- Seunghee Na
- Department of Neurology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea
| | - Dong Woo Kang
- Department of Psychiatry, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Geon Ha Kim
- Department of Neurology, Ewha Womans University Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Hospital, Jeonbuk National University College of Medicine, Jeonju, Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Hee-Jin Kim
- Department of Neurology, Hanyang University Hospital, College of Medicine, Hanyang University, Seoul, Korea
| | - Kee Hyung Park
- Department of Neurology, College of Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - Young Ho Park
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Gihwan Byeon
- Department of Psychiatry, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Jeewon Suh
- Department of Neurology, National Medical Center, Seoul, Korea
| | | | - YongSoo Shim
- Department of Neurology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - YoungSoon Yang
- Department of Neurology, Soonchunhyang University Cheonan Hospital, Soonchunhyang University School of Medicine, Cheonan, Korea
| | - Yoo Hyun Um
- Department of Psychiatry, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Seong-il Oh
- Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Sheng-Min Wang
- Department of Psychiatry, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Bora Yoon
- Department of Neurology, Konyang University Hospital, Konyang University College of Medicine, Daejeon, Korea
| | - Hai-Jeon Yoon
- Department of Nuclear Medicine, Ewha Womans University College of Medicine, Seoul, Korea
| | - Sun Min Lee
- Department of Neurology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Juyoun Lee
- Department of Neurology, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Hak Young Rhee
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Korea
| | - Jae-Sung Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Young Hee Jung
- Department of Neurology, Myungji Hospital, Goyang, Korea
| | - Juhee Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yun Jeong Hong
- Department of Neurology, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Uijeongbu, Korea
| | - Hyemin Jang
- Department of Neurology, Seoul National University Hospital, Seoul, Korea
| | - Hongyoon Choi
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Miyoung Choi
- Division of Healthcare Technology Assessment Research, National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
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Adhikari G, Carlin N, Choi JJ, Choi S, Ezeribe AC, França LE, Ha C, Hahn IS, Hollick SJ, Jeon EJ, Jo JH, Joo HW, Kang WG, Kauer M, Kim BH, Kim HJ, Kim J, Kim KW, Kim SH, Kim SK, Kim WK, Kim YD, Kim YH, Ko YJ, Lee DH, Lee EK, Lee H, Lee HS, Lee HY, Lee IS, Lee J, Lee JY, Lee MH, Lee SH, Lee SM, Lee YJ, Leonard DS, Luan NT, Manzato BB, Maruyama RH, Neal RJ, Nikkel JA, Olsen SL, Park BJ, Park HK, Park HS, Park KS, Park SD, Pitta RLC, Prihtiadi H, Ra SJ, Rott C, Shin KA, Cavalcante DFFS, Scarff A, Spooner NJC, Thompson WG, Yang L, Yu GH. Search for Boosted Dark Matter in COSINE-100. Phys Rev Lett 2023; 131:201802. [PMID: 38039466 DOI: 10.1103/physrevlett.131.201802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 10/30/2023] [Indexed: 12/03/2023]
Abstract
We search for energetic electron recoil signals induced by boosted dark matter (BDM) from the galactic center using the COSINE-100 array of NaI(Tl) crystal detectors at the Yangyang Underground Laboratory. The signal would be an excess of events with energies above 4 MeV over the well-understood background. Because no excess of events are observed in a 97.7 kg·yr exposure, we set limits on BDM interactions under a variety of hypotheses. Notably, we explored the dark photon parameter space, leading to competitive limits compared to direct dark photon search experiments, particularly for dark photon masses below 4 MeV and considering the invisible decay mode. Furthermore, by comparing our results with a previous BDM search conducted by the Super-Kamionkande experiment, we found that the COSINE-100 detector has advantages in searching for low-mass dark matter. This analysis demonstrates the potential of the COSINE-100 detector to search for MeV electron recoil signals produced by the dark sector particle interactions.
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Affiliation(s)
- G Adhikari
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - N Carlin
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - J J Choi
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S Choi
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - A C Ezeribe
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - L E França
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - C Ha
- Department of Physics, Chung-Ang University, Seoul 06973, Republic of Korea
| | - I S Hahn
- Department of Science Education, Ewha Womans University, Seoul 03760, Republic of Korea
- Center for Exotic Nuclear Studies, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - S J Hollick
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - E J Jeon
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J H Jo
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - H W Joo
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - W G Kang
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - M Kauer
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - B H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - H J Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - J Kim
- Department of Physics, Chung-Ang University, Seoul 06973, Republic of Korea
| | - K W Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S K Kim
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - W K Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Y D Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
| | - Y H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Y J Ko
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - D H Lee
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - E K Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - H Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - H S Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - H Y Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - I S Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J Y Lee
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - M H Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - S H Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - S M Lee
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - Y J Lee
- Department of Physics, Chung-Ang University, Seoul 06973, Republic of Korea
| | - D S Leonard
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - N T Luan
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - B B Manzato
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - R H Maruyama
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - R J Neal
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - J A Nikkel
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - S L Olsen
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - B J Park
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - H K Park
- Department of Accelerator Science, Korea University, Sejong 30019, Republic of Korea
| | - H S Park
- Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - K S Park
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S D Park
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - R L C Pitta
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - H Prihtiadi
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S J Ra
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - C Rott
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Physics and Astronomy, University of Utah, Salt Lake City, Utah 84112, USA
| | - K A Shin
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - D F F S Cavalcante
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - A Scarff
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - N J C Spooner
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - W G Thompson
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - L Yang
- Department of Physics, University of California San Diego, La Jolla, California 92093, USA
| | - G H Yu
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
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Kim YH, Park MR, Kim SY, Kim MY, Kim KW, Sohn MH. Respiratory microbiome profiles are associated with distinct inflammatory phenotype and lung function in children with asthma. J Investig Allergol Clin Immunol 2023:0. [PMID: 37260034 DOI: 10.18176/jiaci.0918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND Respiratory microbiome studies have fostered our understanding of various phenotypes and endotypes of heterogeneous asthma. However, the relationship between the respiratory microbiome and clinical phenotypes in children with asthma remains unclear. We aimed to identify microbiome-driven clusters reflecting the clinical features of asthma and their dominant microbiotas in children with asthma. METHODS Induced sputum was collected from children with asthma, and microbiome profiles were generated via sequencing of the V3-V4 region of the 16S rRNA gene. Cluster analysis was performed using the partitioning around medoid clustering method. The dominant microbiota in each cluster was determined using the Linear Discriminant Effect Size analysis. Each cluster was analyzed for association among the dominant microbiota, clinical phenotype, and inflammatory cytokine. RESULTS Eighty-three children diagnosed with asthma were evaluated. Among four clusters reflecting the clinical characteristics of asthma, cluster 1, dominated by Haemophilus and Neisseria, demonstrated lower post-bronchodilator (BD) forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) than that in the other clusters and more mixed granulocytic asthma. Neisseria negatively correlated with pre-BD and post-BD FEV1/FVC. Haemophilus and Neisseria positively correlated with programmed death-ligand (PD-L)1. CONCLUSION To our knowledge, this study is the first to analyze the relationship between an unbiased microbiome-driven cluster and clinical phenotype in children with asthma. The cluster dominated by Haemophilus and Neisseria showed fixed airflow obstruction and mixed granulocytic asthma, which correlated with PD-L1 levels. Thus, microbiome-driven unbiased clustering can help identify new asthma phenotypes related to endotypes in childhood asthma.
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Affiliation(s)
- Y H Kim
- Department of Pediatrics, Gangnam Severance Hospital, Seoul
- Institute of Allergy, Severance Biomedical Science Institute, Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul
| | - M R Park
- Department of Pediatrics, Gangnam Severance Hospital, Seoul
- Institute of Allergy, Severance Biomedical Science Institute, Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul
| | - S Y Kim
- Institute of Allergy, Severance Biomedical Science Institute, Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul
- Department of Pediatrics, Severance Hospital, Seoul
| | - M Y Kim
- Institute of Allergy, Severance Biomedical Science Institute, Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul
- Department of Pediatrics, Yongin Severance Hospital, Yongin, Korea
| | - K W Kim
- Institute of Allergy, Severance Biomedical Science Institute, Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul
- Department of Pediatrics, Severance Hospital, Seoul
| | - M H Sohn
- Institute of Allergy, Severance Biomedical Science Institute, Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul
- Department of Pediatrics, Severance Hospital, Seoul
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Wang Q, Shin B, Oh S, Shin YS, Na DL, Kim KW. A pilot study to explore the effect of udenafil on cerebral hemodynamics in older adults. Ann Clin Transl Neurol 2023; 10:933-943. [PMID: 37013976 PMCID: PMC10270257 DOI: 10.1002/acn3.51774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 03/17/2023] [Accepted: 03/18/2023] [Indexed: 04/05/2023] Open
Abstract
OBJECTIVE Phosphodiesterase-5 inhibitors (PDE5Is) enhance vasodilation. We investigated the effects of PDE5I on cerebral hemodynamics during cognitive tasks using functional near-infrared spectroscopy (fNIRS). METHODS This study used a crossover design. Twelve cognitively healthy men participants (mean age, 59 ± 3 years; range, 55-65 years) were recruited and randomly assigned to the experimental or control arm, then the experimental and control arm were exchanged after 1 week. Udenafil 100 mg was administered to participants in the experimental arm once daily for 3 days. We measured the fNIRS signal during the resting state and four cognitive tasks three times for each participant: at baseline, in the experimental arm, and in the control arm. RESULTS Behavioral data did not show a significant difference between the experimental and control arms. The fNIRS signal showed significant decreases in the experimental arm compared to the control arm during several cognitive tests: verbal fluency test (left dorsolateral prefrontal cortex, T = -3.02, p = 0.014; left frontopolar cortex, T = -4.37, p = 0.002; right dorsolateral prefrontal cortex, T = -2.59, p = 0.027), Korean-color word Stroop test (left orbitofrontal cortex, T = -3.61, p = 0.009), and social event memory test (left dorsolateral prefrontal cortex, T = -2.35, p = 0.043; left frontopolar cortex, T = -3.35, p = 0.01). INTERPRETATION Our results showed a paradoxical effect of udenafil on cerebral hemodynamics in older adults. This contradicts our hypothesis, but it suggests that fNIRS is sensitive to changes in cerebral hemodynamics in response to PDE5Is.
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Affiliation(s)
- Qi Wang
- Medical SchoolJeonbuk National UniversityJeonjuSouth Korea
| | - Byoung‐Soo Shin
- Department of NeurologyJeonbuk National University Medical School and HospitalJeonjuSouth Korea
- Research Institute of Clinical Medicine of Jeonbuk National University‐Biomedical Research Institute of Jeonbuk National University HospitalJeonjuSouth Korea
| | - Sun‐Young Oh
- Department of NeurologyJeonbuk National University Medical School and HospitalJeonjuSouth Korea
- Research Institute of Clinical Medicine of Jeonbuk National University‐Biomedical Research Institute of Jeonbuk National University HospitalJeonjuSouth Korea
| | - Yu Seob Shin
- Research Institute of Clinical Medicine of Jeonbuk National University‐Biomedical Research Institute of Jeonbuk National University HospitalJeonjuSouth Korea
- Department of UrologyJeonbuk National University Medical School and HospitalJeonjuSouth Korea
| | - Duk L. Na
- Department of NeurologySungkyunkwan University School of Medicine, Samsung Medical CenterSeoulSouth Korea
| | - Ko Woon Kim
- Department of NeurologyJeonbuk National University Medical School and HospitalJeonjuSouth Korea
- Research Institute of Clinical Medicine of Jeonbuk National University‐Biomedical Research Institute of Jeonbuk National University HospitalJeonjuSouth Korea
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Rhyu JM, Park J, Shin BS, Kim YE, Kim EJ, Kim KW, Cho YG. A Novel c.800G>C Variant of the ITM2B Gene in Familial Korean Dementia. J Alzheimers Dis 2023; 93:403-409. [PMID: 37038821 DOI: 10.3233/jad-230051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Mutations in ITM2B have been reported to be associated with several familial dementias, such as Familial British dementia and familial Danish dementia. These are autosomal dominant disorders characterized by progressive dementia with an onset at around the fifth decade of life. We describe a family with cognitive impairment caused by a novel ITM2B p.*267Serext*11 mutation. The probands presented with cognitive impairment and cerebral infarction. MRI revealed diffuse white matter hyperintensity and microbleeds. Amyloid deposition was not observed on amyloid positron emission tomography. Our case suggests that the BRI2 mutation impacts cognition regardless of amyloid-β accumulation.
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Affiliation(s)
- Jee-Min Rhyu
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Joonhong Park
- Department of Laboratory Medicine, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Byoung-Soo Shin
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Young-Eun Kim
- Department of Laboratory Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Busan, South Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Yong Gon Cho
- Department of Laboratory Medicine, Jeonbuk National University Medical School and Hospital, Jeonju, Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
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Jung SH, Kim HR, Chun MY, Jang H, Cho M, Kim B, Kim S, Jeong JH, Yoon SJ, Park KW, Kim EJ, Yoon B, Jang JW, Kim Y, Hong JY, Choi SH, Noh Y, Kim KW, Kim SE, Lee JS, Jung NY, Lee J, Lee AY, Kim BC, Cho SH, Cho H, Kim JH, Jung YH, Lee DY, Lee JH, Lee ES, Kim SJ, Moon SY, Son SJ, Hong CH, Bae JS, Lee S, Na DL, Seo SW, Cruchaga C, Kim HJ, Won HH. Transferability of Alzheimer Disease Polygenic Risk Score Across Populations and Its Association With Alzheimer Disease-Related Phenotypes. JAMA Netw Open 2022; 5:e2247162. [PMID: 36520433 PMCID: PMC9856322 DOI: 10.1001/jamanetworkopen.2022.47162] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
IMPORTANCE Polygenic risk scores (PRSs), which aggregate the genetic effects of single-nucleotide variants identified in genome-wide association studies (GWASs), can help distinguish individuals at a high genetic risk for Alzheimer disease (AD). However, genetic studies have predominantly focused on populations of European ancestry. OBJECTIVE To evaluate the transferability of a PRS for AD in the Korean population using summary statistics from a prior GWAS of European populations. DESIGN, SETTING, AND PARTICIPANTS This cohort study developed a PRS based on the summary statistics of a large-scale GWAS of a European population (the International Genomics of Alzheimer Project; 21 982 AD cases and 41 944 controls). This PRS was tested for an association with AD dementia and its related phenotypes in 1634 Korean individuals, who were recruited from 2013 to 2019. The association of a PRS based on a GWAS of a Japanese population (the National Center for Geriatrics and Gerontology; 3962 AD cases and 4074 controls) and a transancestry meta-analysis of European and Japanese GWASs was also evaluated. Data were analyzed from December 2020 to June 2021. MAIN OUTCOMES AND MEASURES Risk of AD dementia, amnestic mild cognitive impairment (aMCI), earlier symptom onset, and amyloid β deposition (Aβ). RESULTS A total of 1634 Korean patients (969 women [59.3%]), including 716 individuals (43.6%) with AD dementia, 222 (13.6%) with aMCI, and 699 (42.8%) cognitively unimpaired controls, were analyzed in this study. The mean (SD) age of the participants was 71.6 (9.0) years. Higher PRS was associated with a higher risk of AD dementia independent of APOE ɛ4 status in the Korean population (OR, 1.95; 95% CI, 1.40-2.72; P < .001). Furthermore, PRS was associated with aMCI, earlier symptom onset, and Aβ deposition independent of APOE ɛ4 status. The PRS based on a transancestry meta-analysis of data sets comprising 2 distinct ancestries showed a slightly improved accuracy. CONCLUSIONS AND RELEVANCE In this cohort study, a PRS derived from a European GWAS identified individuals at a high risk for AD dementia in the Korean population. These findings emphasize the transancestry transferability and clinical value of PRSs and suggest the importance of enriching diversity in genetic studies of AD.
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Affiliation(s)
- Sang-Hyuk Jung
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Hang-Rai Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, Republic of Korea
| | - Min Young Chun
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Minyoung Cho
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Beomsu Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Soyeon Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
| | - Jee Hyang Jeong
- Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University School of Medicine, Seoul, Republic of Korea
| | - Soo Jin Yoon
- Department of Neurology, Eulji University Hospital, Eulji University School of Medicine, Daejeon, Republic of Korea
| | - Kyung Won Park
- Department of Neurology, Dong-A University College of Medicine, Department of Translational Biomedical Sciences, Graduate School of Dong-A University, Busan, Republic of Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Bora Yoon
- Department of Neurology, Konyang University College of Medicine, Daejeon, Republic of Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Republic of Korea
| | - Jin Yong Hong
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea
| | - Young Noh
- Department of Neurology, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea
| | - Ko Woon Kim
- Department of Neurology, School of Medicine, Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Si Eun Kim
- Department of Neurology, Inje University College of Medicine, Haeundae Paik Hospital, Busan, Republic of Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University College of Medicine, Kyung Hee University Hospital, Seoul, Republic of Korea
| | - Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Juyoun Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Ae Young Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Byeong C. Kim
- Departmet of Neurology, Chonnam National University School of Medicine, Gwangju, Republic of Korea
| | - Soo Hyun Cho
- Departmet of Neurology, Chonnam National University School of Medicine, Gwangju, Republic of Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jong Hun Kim
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Republic of Korea
| | - Young Hee Jung
- Department of Neurology, Myongji Hospital, Hanyang University, Goyang, Republic of Korea
| | - Dong Young Lee
- Department of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Eek-Sung Lee
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea
| | - Seung Joo Kim
- Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - So Young Moon
- Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea
| | - Jin-Sik Bae
- Eone-Diagnomics Genome Center (EDGC), Incheon, Republic of Korea
| | - Sunghoon Lee
- Eone-Diagnomics Genome Center (EDGC), Incheon, Republic of Korea
| | - Duk L. Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Seoul, Republic of Korea
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St Louis, Missouri
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St Louis, Missouri
| | - Hee Jin Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Alzheimer’s Disease Convergence Research Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Hong-Hee Won
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Samsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea
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Kim KW, Wang Q, Koo SH, Shin BS. A single-center, randomized, parallel design study to evaluate the efficacy of donepezil in improving visuospatial abilities in patients with mild cognitive impairment using eye-tracker: the COG-EYE study protocol for a phase II trial. Trials 2022; 23:813. [PMID: 36167553 PMCID: PMC9513951 DOI: 10.1186/s13063-022-06781-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 09/18/2022] [Indexed: 11/15/2022] Open
Abstract
Background Cholinesterase inhibitors (ChEIs) decrease long-term cognitive decline in patients with Alzheimer’s disease (AD); however, there is little evidence that ChEIs affect cognitive test scores in patients with mild cognitive impairment (MCI). Conventional endpoints, such as cognitive tests or clinical rating scores, may lack the sensitivity to subtle treatment effects in participants with MCI. Therefore, there is an immediate need to refocus on direct physiological assessments to detect the effects of ChEIs in patients with MCI due to AD. Methods We propose a randomized controlled trial to evaluate the effect of donepezil, a ChEI, on patients with MCI due to AD. We plan to recruit 78 participants (39 in each arm) with MCI who had amyloid positron emission tomography (PET)-positive results for this open-label study. To evaluate subtle differences, we will measure eye-tracking metrics and digital pen data while participants perform the simplified Rey Complex Figure (RCFT) and clock drawing tests. The primary outcome is a change in the ratio of the number of fixations (working space/perceptual space) performed using the simplified RCFT, from baseline to 12 weeks, as assessed using eye-tracking metrics. The secondary outcomes are changes in general cognition, clinical severity, activities of daily living, and visuospatial function assessed using standard rating scores and digital pen data. The analyses of the primary and secondary outcomes will be based on the difference in changes during follow-up between the donepezil and control groups using the t-test or Mann–Whitney U test, as well as adjusting for baseline values. Discussion This study is designed to determine whether eye-tracking metrics can detect the effect of donepezil on visuospatial dysfunction more sensitively in patients with MCI. It is expected that multimodal data, such as eye-tracking and digital pen data, may provide helpful biomarkers for identifying subtle changes that are difficult to measure using conventional methods. Trial registration Clinical Research Information Service, Republic of Korea (CRIS, cris.nih.go.kr) KCT0006236. Registered on June 10, 2021.
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Affiliation(s)
- Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, 54907, South Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Qi Wang
- Jeonbuk National University Medical School, Jeonju, Korea
| | - Se Hee Koo
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Byoung-Soo Shin
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji-ro, Deokjin-gu, Jeonju, 54907, South Korea. .,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea.
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9
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Kim KW, Choi J, Chin J, Lee BH, Na DL. Eye-Tracking Metrics for Figure-Copying Processes in Early- vs. Late-Onset Alzheimer's Disease. Front Neurol 2022; 13:844341. [PMID: 35651346 PMCID: PMC9149280 DOI: 10.3389/fneur.2022.844341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 04/12/2022] [Indexed: 12/04/2022] Open
Abstract
Visuospatial dysfunction is a common symptom in patients with Alzheimer's disease (AD). To more focus on copying processes rather than on finally completed figures, we conceptually split the copying processes into three stages: visuoperceptual function, visuoconstructional function, and working memory function. We constructed perceptual and working spaces to investigate the different stages of copying, and then, we compared the number and duration of fixations and saccades and the number of switches across the two spaces. We used eye-tracking glasses to assess eye-tracking metrics in patients with early-onset AD (EOAD), patients with late-onset AD (LOAD), and normal control (NC) participants while they copied the simplified Rey–Osterrieth complex figure test (RCFT). Regarding eye metrics on the perceptual space, the number and duration of fixations were greater in both groups of patients with AD than in the NC participants group (number: EOAD vs. NC: p < 0.001, LOAD vs. NC: p = 0. 003/ duration: EOAD vs. NC: p < 0.001, LOAD vs. NC: p < 0.001). On the working space, the number and duration of fixations were greater in the patients with EOAD than in the patients with LOAD and NC participants (number: EOAD vs. LOAD: p = 0. 007, EOAD vs. NC: p = 0. 001/duration: EOAD vs. LOAD: p = 0. 008, EOAD vs. NC: p = 0. 002). The number of saccades and switching was higher in patients with EOAD than in NC participants (p < 0.001). The eye-tracking metrics from the simplified RCFT correlated with the neuropsychological test scores. Patients with EOAD and LOAD achieved the same level of performance at the simplified and original RCFT scores. However, patients with EOAD than LOAD showed a greater number and duration of fixations on the working space and more frequent switching between the perceptual and working spaces, which may reflect more cognitive efforts to achieve the same level of performance.
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Affiliation(s)
- Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, Jeonju, South Korea.,Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, South Korea.,Biomedical Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Jongdoo Choi
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Juhee Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Byung Hwa Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Cell and Gene Therapy Institute (CGTI), Research Institute for Future Medicine, Samsung Medical Center, Seoul, South Korea.,Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea
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10
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 404] [Impact Index Per Article: 202.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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Jung NY, Shin JH, Kim HJ, Jang H, Moon SH, Kim SJ, Kim Y, Cho SH, Kim KW, Kim JP, Jung YH, Kim ST, Kim EJ, Na DL, Vogel JW, Lee S, Seong JK, Seo SW. Distinctive Mediating Effects of Subcortical Structure Changes on the Relationships Between Amyloid or Vascular Changes and Cognitive Decline. Front Neurol 2021; 12:762251. [PMID: 34950100 PMCID: PMC8688398 DOI: 10.3389/fneur.2021.762251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 11/04/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: We investigated the mediation effects of subcortical volume change in the relationship of amyloid beta (Aβ) and lacune with cognitive function in patients with mild cognitive impairment (MCI). Methods: We prospectively recruited 101 patients with MCI who were followed up with neuropsychological tests, MRI, or Pittsburgh compound B (PiB) PET for 3 years. The mediation effect of subcortical structure on the association of PiB or lacunes with cognitive function was analyzed using mixed effects models. Results: Volume changes in the amygdala and hippocampus partially mediated the effect of PiB changes on memory function (direct effect = -0.168/-0.175, indirect effect = -0.081/-0.077 for amygdala/hippocampus) and completely mediated the effect of PiB changes on clinical dementia rating scale sum of the box (CDR-SOB) (indirect effect = 0.082/0.116 for amygdala/hippocampus). Volume changes in the thalamus completely mediated the effect of lacune on memory, frontal executive functions, and CDR-SOB (indirect effect = -0.037, -0.056, and 0.047, respectively). Conclusions: Our findings provide a better understanding of the distinct role of subcortical structures in the mediation of the relationships of amyloid or vascular changes with a decline in specific cognitive domains.
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Affiliation(s)
- Na-Yeon Jung
- Department of Neurology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Yangsan, South Korea
| | - Jeong-Hyeon Shin
- School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Seung Hwan Moon
- Department of Nuclear Medicine, Samsung Medical Center, Seoul, South Korea
| | - Seung Joo Kim
- Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, South Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University College of Medicine, Chuncheon-si, South Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School and Hospital, Gwangju, South Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Medical School and Hospital, Jeonju, South Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Young Hee Jung
- Department of Neurology, Myongji Hospital, College of Medicine, Hanyang University, Goyang, South Korea
| | - Sung Tae Kim
- Department of Radiology, Samsung Medical Center, Seoul, South Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine, Pusan, South Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Jacob W Vogel
- Montreal Neurological Institute, McGill University, Montrèal, QC, Canada
| | - Sangjin Lee
- Graduate School, Department of Statistics, Pusan National University, Busan, South Korea
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
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12
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Kim KW, Choi JD, Chin J, Lee BH, Choi JH, Na DL. Hidden objective test. Alzheimers Dement 2021. [DOI: 10.1002/alz.056570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Ko Woon Kim
- Jeonbuk National University Medical School and Hospital Jeonju Republic of Korea
| | | | - Juhee Chin
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea
| | | | - Jee Hyun Choi
- Korea Institute of Science and Technology Seoul Republic of Korea
| | - Duk L. Na
- Samsung Medical Center, Sungkyunkwan University School of Medicine Seoul Republic of Korea
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13
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Wang SJ, Lee CH, Kang HG, Kim KW, Kim M, Jeong HJ, Shin BS. Author Correction: Peripheral vasoreactivity in acute ischemic stroke with hemiplegia. Sci Rep 2021; 11:18710. [PMID: 34526610 PMCID: PMC8443735 DOI: 10.1038/s41598-021-98196-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Affiliation(s)
- Su Jeong Wang
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea
| | - Chan-Hyuk Lee
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea
| | - Hyun Goo Kang
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Minjoo Kim
- Department of Nuclear Medicine, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea
| | - Hwan-Jeong Jeong
- Department of Nuclear Medicine, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea.
| | - Byoung-Soo Shin
- Department of Neurology, Jeonbuk National University Medical School and Hospital, 20 Geonji‑ro, Deokjin‑gu, Jeonju, 54907, Republic of Korea. .,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea.
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14
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Jang H, Kim HJ, Choe YS, Kim SJ, Park S, Kim Y, Kim KW, Lyoo CH, Cho H, Ryu YH, Choi JY, DeCarli C, Na DL, Seo SW. The Impact of Amyloid-β or Tau on Cognitive Change in the Presence of Severe Cerebrovascular Disease. J Alzheimers Dis 2021; 78:573-585. [PMID: 33016911 DOI: 10.3233/jad-200680] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND As Alzheimer's disease (AD) and cerebral small vessel disease (CSVD) commonly coexist, the interaction between two has been of the considerable interest. OBJECTIVE We determined whether the association of Aβ and tau with cognitive decline differs by the presence of significant CSVD. METHODS We included 60 subcortical vascular cognitive impairment (SVCI) from Samsung Medical Center and 82 Alzheimer's disease-related cognitive impairment (ADCI) from ADNI, who underwent Aβ (florbetaben or florbetapir) and tau (flortaucipir, FTP) PET imaging. They were retrospectively assessed for 5.0±3.9 and 5.6±1.9 years with Clinical Dementia Rating-sum of boxes (CDR-SB)/Mini-Mental State Examination (MMSE). Mixed effects models were used to investigate the interaction between Aβ/tau and group on CDR-SB/MMSE changes. RESULTS The frequency of Aβ positivity (45% versus 54.9%, p = 0.556) and mean global FTP SUVR (1.17±0.21 versus 1.16±0.17, p = 0.702) were not different between the two groups. We found a significant interaction effect of Aβ positivity and SVCI group on CDR-SB increase/MMSE decrease (p = 0.013/p < 0.001), and a significant interaction effect of global FTP uptake and SVCI group on CDR-SB increase/MMSE decrease (p < 0.001 and p = 0.030). Finally, the interaction effects of regional tau and group were prominent in the Braak III/IV (p = 0.001) and V/VI (p = 0.003) not in Braak I/II region (p = 0.398). CONCLUSION The association between Aβ/tau and cognitive decline is stronger in SVCI than in ADCI. Therefore, our findings suggested that Aβ positivity or tau burden (particularly in the Braak III/IV or V/VI regions) and CSVD might synergistically affect cognitive decline.
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Affiliation(s)
- Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Yeong Sim Choe
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Soo-Jong Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Chuncheon, Republic of Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jae Yong Choi
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California, Davis, Davis, CA, USA
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.,Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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15
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Chen X, Tanizawa K, Winzer P, Dong P, Cho J, Futami F, Kato K, Melikyan A, Kim KW. Experimental demonstration of a 4,294,967,296-QAM-based Y-00 quantum stream cipher template carrying 160-Gb/s 16-QAM signals. Opt Express 2021; 29:5658-5664. [PMID: 33726100 DOI: 10.1364/oe.405390] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 01/11/2021] [Indexed: 06/12/2023]
Abstract
We demonstrate a 4,294,967,296-quadrature amplitude modulation (QAM) based Y-00 quantum stream cipher system carrying a 160-Gb/s 16-QAM signal transmitted over 320-km SSMF. The ultra-dense QAM cipher template is realized by an integrated two-segment silicon photonics I/Q modulator.
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16
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Yadav BK, Yadav R, Kang HG, Kim KW, Lee CH, Shin BS. Association of Genetic Variation in a Wnt Signaling Pathway Gene ( β-Catenin) with Susceptibility to Leukoaraiosis. Genet Test Mol Biomarkers 2020; 24:708-716. [PMID: 33026847 DOI: 10.1089/gtmb.2020.0111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Aim: Blood-brain barrier (BBB) disruption is the primary initiating cause of cerebral small-vessel diseases including leukoaraiosis (LA). β-Catenin is a key regulator of the BBB and plays an important role in cell-cell adhesion at adherens junctions by interacting with cadherin molecules. Thus, β-Catenin may be a good candidate gene for LA. We performed a genetic analyses to investigate the association between β-catenin alleles and LA. Materials and Methods: A total of 339 LA cases and 203 controls were enrolled from individuals who underwent brain magnetic resonance imaging with obtainable vascular risk factors. Genotyping of β-catenin single nucleotide polymorphisms (SNPs), including rs1880481 C > A, rs13072632 C > T, and rs4135385 A > G, was performed by real-time polymerase chain reaction using a LightCycler 2.0. Results: Two SNPs, rs1880481 and rs4135385, showed significant differences in their allelic frequencies between the control and LA groups and the combinatorial effects of the risk alleles for these two SNPs also significantly increased the risk of LA. The G-T-A, A-T-A, and A-T-G haplotypes for the three SNPs showed significant differences in both types of LA: LA-periventricular white matter and LA-deep white matter. However, the C-T-G haplotype was only significantly different for LA-PVWM, while the A-C-A was only significantly different for LA-DWM. The combination of diabetes mellitis, hypertension, and these risk alleles increased the likelihood of both types of LA. Conclusion: This study provides evidence that β-catenin polymorphisms and their associated haplotypes are associated with susceptibility to LA.
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Affiliation(s)
- Binod Kumar Yadav
- Department of Biochemistry, Maharajgunj Medical Campus, Institute of Medicine, Tribhuvan University, Kathmandu, Nepal
| | - Renu Yadav
- Department of Dietary, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Hyun Goo Kang
- Department of Neurology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Department of Neurology, Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Ko Woon Kim
- Department of Neurology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Department of Neurology, Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Chan-Hyuk Lee
- Department of Neurology, Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Byoung-Soo Shin
- Department of Neurology, Jeonbuk National University Medical School, Jeonju, Republic of Korea.,Department of Neurology, Jeonbuk National University Hospital, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
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17
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Kim KW, Lee SY, Choi J, Chin J, Lee BH, Na DL, Choi JH. A Comprehensive Evaluation of the Process of Copying a Complex Figure in Early- and Late-Onset Alzheimer Disease: A Quantitative Analysis of Digital Pen Data. J Med Internet Res 2020; 22:e18136. [PMID: 32491988 PMCID: PMC7450382 DOI: 10.2196/18136] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/07/2020] [Accepted: 05/13/2020] [Indexed: 01/20/2023] Open
Abstract
Background The Rey-Osterrieth Complex Figure Test (RCFT) is a neuropsychological test that is widely used to assess visual memory and visuoconstructional deficits in patients with cognitive impairment, including Alzheimer disease (AD). Patients with AD have an increased tendency for exhibiting extraordinary behaviors in the RCFT for selecting the drawing area, organizing the figure, and deciding the order of images, among other activities. However, the conventional scoring system based on pen and paper has a limited ability to reflect these detailed behaviors. Objective This study aims to establish a scoring system that addresses not only the spatial arrangement of the finished drawing but also the drawing process of patients with AD by using digital pen data. Methods A digital pen and tablet were used to copy complex figures. The stroke patterns and kinetics of normal controls (NCs) and patients with early-onset AD (EOAD) and late-onset AD (LOAD) were analyzed by comparing the pen tip trajectory, spatial arrangement, and similarity of the finished drawings. Results Patients with AD copied the figure in a more fragmented way with a longer pause than NCs (EOAD: P=.045; LOAD: P=.01). Patients with AD showed an increased tendency to draw the figures closer toward the target image in comparison with the NCs (EOAD: P=.005; LOAD: P=.01) Patients with AD showed the lower accuracy than NCs (EOAD: P=.004; LOAD: P=.002). Patients with EOAD and LOAD showed similar but slightly different drawing behaviors, especially in space use and in the initial stage of drawing. Conclusions The digitalized complex figure test evaluated copying performance quantitatively and further elucidated the patients’ ongoing process during copying. We believe that this novel approach can be used as a digital biomarker of AD. In addition, the repeatability of the test will delineate the process of executive functions and constructional organization abilities with disease progression.
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Affiliation(s)
- Ko Woon Kim
- Department of Neurology, School of Medicine, Jeonbuk National University Hospital, Jeonju, Republic of Korea.,Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, Republic of Korea.,Biomedical Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea
| | - Sung Yun Lee
- Department of Physics, Pohang University of Science and Technology, Pohang, Republic of Korea.,Center for Neuroscience, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Jongdoo Choi
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Juhee Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Byung Hwa Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.,Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, Republic of Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Republic of Korea
| | - Jee Hyun Choi
- Center for Neuroscience, Korea Institute of Science and Technology, Seoul, Republic of Korea
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18
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Kim KW, Chung S, Lee SY, Yoon SS, Kang HR. Successful Infusion of Obinutuzumab by Desensitization: A Case of Anaphylactic Shock During Desensitization. J Investig Allergol Clin Immunol 2020; 30:457-459. [PMID: 32376522 DOI: 10.18176/jiaci.0581] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- K W Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - S Chung
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - S Y Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Institute of Allergy and Clinical Immunology, Seoul National University Medical Research Center, Seoul, Korea
| | - S S Yoon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - H R Kang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Institute of Allergy and Clinical Immunology, Seoul National University Medical Research Center, Seoul, Korea.,Drug Safety Monitoring Center, Seoul National University Hospital, Seoul, Korea
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19
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Kim KW, Park S, Jo H, Cho SH, Kim SJ, Kim Y, Jang H, Na DL, Seo SW, Kim HJ. Identifying a subtype of Alzheimer's disease characterised by predominant right focal cortical atrophy. Sci Rep 2020; 10:7256. [PMID: 32350336 PMCID: PMC7190862 DOI: 10.1038/s41598-020-64180-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 04/09/2020] [Indexed: 11/23/2022] Open
Abstract
We aimed to identify an Alzheimer’s disease (AD) subtype with right predominant focal atrophy. We recruited 17 amyloid PET positive logopenic variant primary progressive aphasia (lvPPA) and 226 amyloid PET positive AD patients. To identify AD with right focal atrophy (Rt-AD), we selected cortical areas that showed more atrophy in lvPPA than in AD and calculated an asymmetry index (AI) for this area in each individual. Using a receiver operating characteristic curve, we found that the optimal AI cut-off to discriminate lvPPA from AD was −3.1 (mean AI – 1.00 standard deviation) (sensitivity 88.2, specificity 89.8). We identified 32 Rt-AD patients whose AI was above mean AI + 1.00 standard deviation, 38 Lt-AD patients whose AI was lower than mean AI − 1.00 standard deviation, and 173 Symmetric-AD patients whose AI was within mean AI ± 1.00 standard deviation. We characterized clinical and cognitive profiles of Rt-AD patients by comparing with those of Lt-AD and Symmetric-AD patients. Compared to Symmetric-AD patients, Rt-AD patients had asymmetric focal atrophy in the right temporoparietal area and showed poor performance on visuospatial function testing (p = 0.009). Our findings suggested that there is an AD variant characterized by right focal atrophy and visuospatial dysfunction.
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Affiliation(s)
- Ko Woon Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Jeonbuk National University Medical School & Hospital, Jeonju, Korea.,Research Institute of Clinical Medicine of Jeonbuk National University, Jeonju, Korea.,Biomedical Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Seongbeom Park
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea
| | - Hyunjin Jo
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Soo Hyun Cho
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Chonnam National University Hospital, Gwangju, Korea
| | - Seung Joo Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Yeshin Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Hyemin Jang
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea. .,Neuroscience Center, Samsung Medical Center, Seoul, Korea. .,Samsung Alzheimer Research Center, Samsung Medical Center, Seoul, Korea. .,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea. .,Department of Digital Health, SAIHST, Sungkyunkwan University, Seoul, Korea.
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20
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Oh K, Chung YC, Kim KW, Kim WS, Oh IS. Classification and Visualization of Alzheimer's Disease using Volumetric Convolutional Neural Network and Transfer Learning. Sci Rep 2019; 9:18150. [PMID: 31796817 PMCID: PMC6890708 DOI: 10.1038/s41598-019-54548-6] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 11/12/2019] [Indexed: 12/21/2022] Open
Abstract
Recently, deep-learning-based approaches have been proposed for the classification of neuroimaging data related to Alzheimer's disease (AD), and significant progress has been made. However, end-to-end learning that is capable of maximizing the impact of deep learning has yet to receive much attention due to the endemic challenge of neuroimaging caused by the scarcity of data. Thus, this study presents an approach meant to encourage the end-to-end learning of a volumetric convolutional neural network (CNN) model for four binary classification tasks (AD vs. normal control (NC), progressive mild cognitive impairment (pMCI) vs. NC, stable mild cognitive impairment (sMCI) vs. NC and pMCI vs. sMCI) based on magnetic resonance imaging (MRI) and visualizes its outcomes in terms of the decision of the CNNs without any human intervention. In the proposed approach, we use convolutional autoencoder (CAE)-based unsupervised learning for the AD vs. NC classification task, and supervised transfer learning is applied to solve the pMCI vs. sMCI classification task. To detect the most important biomarkers related to AD and pMCI, a gradient-based visualization method that approximates the spatial influence of the CNN model's decision was applied. To validate the contributions of this study, we conducted experiments on the ADNI database, and the results demonstrated that the proposed approach achieved the accuracies of 86.60% and 73.95% for the AD and pMCI classification tasks respectively, outperforming other network models. In the visualization results, the temporal and parietal lobes were identified as key regions for classification.
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Affiliation(s)
- Kanghan Oh
- Jeonbuk National University, Department of Computer Science and Engineering, Jeonju, 54896, Korea
| | - Young-Chul Chung
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, 54907, Korea
- Jeonbuk National University Medical School, Department of Psychiatry, Jeonju, 54907, Korea
| | - Ko Woon Kim
- Jeonbuk National University Medical School, Department of Neurology, Jeonju, 54907, Korea
| | - Woo-Sung Kim
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, 54907, Korea
- Jeonbuk National University Medical School, Department of Psychiatry, Jeonju, 54907, Korea
| | - Il-Seok Oh
- Jeonbuk National University, Department of Computer Science and Engineering, Jeonju, 54896, Korea.
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21
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San Lee J, Yoo S, Park S, Kim HJ, Park KC, Seong JK, Suh MK, Lee J, Jang H, Kim KW, Kim Y, Cho SH, Kim SJ, Kim JP, Jung YH, Kim EJ, Suh YL, Lockhart SN, Seeley WW, Na DL, Seo SW. Differences in neuroimaging features of early- versus late-onset nonfluent/agrammatic primary progressive aphasia. Neurobiol Aging 2019; 86:92-101. [PMID: 31784276 DOI: 10.1016/j.neurobiolaging.2019.10.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 10/18/2019] [Accepted: 10/21/2019] [Indexed: 01/18/2023]
Abstract
This study investigated distinct neuroimaging features measured by cortical thickness and subcortical structural shape abnormality in early-onset (EO, onset age <65 years) and late-onset (LO, onset age ≥65 years) nonfluent/agrammatic variant of primary progressive aphasia (nfvPPA) patients. Cortical thickness and subcortical structural shape analyses were performed using a surface-based method from 38 patients with nfvPPA and 76 cognitively normal individuals. To minimize the effects of physiological aging, we used W-scores in comparisons between the groups. The EO-nfvPPA group exhibited more extensive cortical thickness reductions predominantly in the left perisylvian, lateral and medial prefrontal, temporal, posterior cingulate, and precuneus regions than the LO-nfvPPA group. The EO-nfvPPA group also exhibited significantly greater subcortical structural shape abnormality than the LO-nfvPPA group, mainly in the left striatum, hippocampus, and amygdala. Our findings suggested that there were differences in neuroimaging features between these groups by the age of symptom onset, which might be explained by underlying heterogeneous neuropathological differences or the age-related brain reserve hypothesis.
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Affiliation(s)
- Jin San Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea; Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Sole Yoo
- Department of Cognitive Science, Yonsei University, Seoul, Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Key-Chung Park
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Joon-Kyung Seong
- Department of Bio-convergence Engineering, School of Biomedical Engineering, Korea University, Seoul, Korea
| | - Mee Kyung Suh
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Juyoun Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Medical School & Hospital, Jeonju, Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Korea
| | - Seung Joo Kim
- Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Young Hee Jung
- Department of Neurology, Myungji Hospital, Goyang, Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea
| | - Yeon-Lim Suh
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Samuel N Lockhart
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, USA
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea; Neuroscience Center, Samsung Medical Center, Seoul, Korea; Samsung Alzheimer Research Center, Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Korea; Department of Health Sciences and Technology, Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.
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22
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Kim HJ, Park S, Cho H, Jang YK, San Lee J, Jang H, Kim Y, Kim KW, Ryu YH, Choi JY, Moon SH, Weiner MW, Jagust WJ, Rabinovici GD, DeCarli C, Lyoo CH, Na DL, Seo SW. Assessment of Extent and Role of Tau in Subcortical Vascular Cognitive Impairment Using 18F-AV1451 Positron Emission Tomography Imaging. JAMA Neurol 2019; 75:999-1007. [PMID: 29799981 PMCID: PMC6142932 DOI: 10.1001/jamaneurol.2018.0975] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Importance Amyloid-β (Aβ), tau, and cerebral small vessel disease (CSVD), which occasionally coexist, are the most common causes of cognitive impairments in older people. However, whether tau is observed in patients with subcortical vascular cognitive impairment (SVCI), as well as its associations with Aβ and CSVD, are not yet established. More importantly, the role of tau underlying cognitive impairments in SVCI is unknown. Objective To investigate the extent and the role of tau in patients with SVCI using 18F-AV1451, which is a new ligand to detect neurofibrillary tangles in vivo. Design, Setting, and Participants This cross-sectional study recruited 64 patients with SVCI from June 2015 to December 2016 at Samsung Medical Center, Seoul, Korea. The patients had significant ischemia on brain magnetic resonance imaging, defined as periventricular white matter hyperintensity at least 10 mm and deep white matter hyperintensity at least 25 mm. We excluded 3 patients with SVCI owing to segmentation error during AV1451 positron emission tomography analysis. Main Outcomes and Measures We calculated CSVD scores based on the volumes of white matter hyperintensities, numbers of lacunes, and microbleeds using magnetic resonance imaging data. The presence of Aβ was assessed using fluorine 18-labeled (18F) florbetaben positron emission tomography. Tau was measured using 18F-AV1451 positron emission tomography. We determined the spreading order of tau by sorting the regional frequencies of cortical involvement. We evaluated the complex associations between Aβ, CSVD, AV1451 uptake, and cognition in patients with SVCI. Results Of the 61 patients with SVCI, 44 (72.1%) were women and the mean (SD) age was 78.7 (6.3) years. Patients with SVCI, especially patients with Aβ-negative SVCI, showed higher AV1451 uptake in the inferior temporal areas compared with normal control individuals. In patients with SVCI, Aβ positivity and CSVD score were each independently associated with increased AV1451 uptake in the medial temporal and inferior temporal regions, respectively. Involvement frequency of AV1451 uptake in the fusiform gyrus, inferior temporal, and precuneus regions were higher than that in the parahippocampal region. In patients with SVCI, higher AV1451 uptake in the inferior temporal and medial temporal regions correlated with worse language and general cognitive function. In patients with SVCI, Aβ positivity and CSVD score each correlated with worse general cognitive function, which was completely mediated by AV1451 uptake in the entorhinal cortex and inferior temporal gyrus, respectively. Conclusions and Relevance Our findings suggest that in SVCI, both Aβ and CSVD were independently associated with increased tau accumulation. Furthermore, tau burden played a pivotal role because it was the final common pathway for the cognitive impairment in patients with SVCI.
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Affiliation(s)
- Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Young Kyoung Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Kangwon National University College of Medicine, Chuncheon-si, Gangwon-do, Korea
| | - Ko Woon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Chonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jae Yong Choi
- Division of RI-Convergence Research, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea
| | - Seung Hwan Moon
- Departments of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Michael W Weiner
- Center for Imaging of Neurodegenerative Diseases, University of California, San Francisco
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California, Davis
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Center for Imaging of Neurodegenerative Diseases, University of California, San Francisco.,Department of Clinical Research Design and Evaluation, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea
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23
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Oh SY, Lee J, Kang JJ, Park YH, Kim KW, Lee JM, Kim JS, Dieterich M. Altered Resting-State Functional Connectivity in Wernicke's Encephalopathy With Vestibular Impairment. Front Neurol 2019; 10:1035. [PMID: 31611841 PMCID: PMC6776602 DOI: 10.3389/fneur.2019.01035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 09/12/2019] [Indexed: 11/13/2022] Open
Abstract
Objectives: To reveal the neural basis of Wernicke's encephalopathy (WE) with impaired vestibulo-ocular reflex (VOR), we evaluated resting-state functional connectivity (rs-fc) in the vestibular processing brain regions. Methods: Rs-fc between the vestibular regions and the rest of the brain were compared with neurotological features including the head-impulse tests (vHIT) and caloric responses in patients with WE (n = 5, mean age 53.4 ± 10 years) and healthy controls (n = 20, mean age 55.0 ± 9.2 years). Rs-fc analyses employed a region of interest (ROI)-based approach using regions selected a priori that participate in vestibular processing including the cerebellar vermis, insula, parietal operculum, and calcarine cortex. Results: The main neurologic findings for patients with WE were mental changes; gait ataxia; spontaneous and gaze-evoked nystagmus (GEN); and bilaterally positive HIT for the horizontal canals. Video HIT documented bilateral horizontal canal dysfunction with decreased gain and corrective saccades. Caloric irrigation and rotation chair testing revealed prominent bilateral horizontal canal paresis. Patients with WE also had decreased spatial memory, which substantially recovered after treatments. Functional connections at the predefined seed regions, including the insular cortex and parietal operculum, were attenuated in the WE group compared to healthy controls. Conclusions: WE is related to impaired VOR and visuospatial dysfunction, and fMRI documented changes in the rs-fc of multisensory vestibular processing regions including the insula, parietal operculum, and superior temporal gyrus, which participate in integration of vestibular perception.
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Affiliation(s)
- Sun-Young Oh
- Department of Neurology, School of Medicine, Chonbuk National University Hospital, Jeonju, South Korea.,Research Institute of Clinical Medicine, Chonbuk National University Hospital, Chonbuk National University, Jeonju, South Korea
| | - Juhyung Lee
- Research Institute of Clinical Medicine, Chonbuk National University Hospital, Chonbuk National University, Jeonju, South Korea.,Department of Preventive Medicine, School of Medicine, Chonbuk National University Hospital, Jeonju, South Korea
| | - Jin-Ju Kang
- Department of Neurology, School of Medicine, Chonbuk National University Hospital, Jeonju, South Korea.,Research Institute of Clinical Medicine, Chonbuk National University Hospital, Chonbuk National University, Jeonju, South Korea
| | - Yeong-Hun Park
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Ko Woon Kim
- Department of Neurology, School of Medicine, Chonbuk National University Hospital, Jeonju, South Korea.,Research Institute of Clinical Medicine, Chonbuk National University Hospital, Chonbuk National University, Jeonju, South Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Ji-Soo Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University School of Medicine, Seoul, South Korea
| | - Marianne Dieterich
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Vertigo and Balance Disorders (IFBLMU), Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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24
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Jang H, Kang D, Chang Y, Kim Y, Lee JS, Kim KW, Jang YK, Kim HJ, Na DL, Shin HY, Kang M, Guallar E, Cho J, Seo SW. Author Correction: Non-alcoholic fatty liver disease and cerebral small vessel disease in Korean cognitively normal individuals. Sci Rep 2019; 9:14825. [PMID: 31597937 PMCID: PMC6785641 DOI: 10.1038/s41598-019-51401-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Affiliation(s)
- Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.,Neuroscience Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Danbee Kang
- Center for Clinical Epidemiology, Samsung Medical Center, 06351, Seoul, Korea
| | - Yoosoo Chang
- Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.,Neuroscience Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Hospital, Chonbuk National University Medical School, Jeonju, Korea
| | - Young Kyoung Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.,Neuroscience Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.,Neuroscience Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea.,Neuroscience Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Hee Young Shin
- Health Promotion Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Mira Kang
- Health Promotion Center, Samsung Medical Center, 06351, Seoul, Korea
| | - Eliseo Guallar
- Center for Clinical Epidemiology, Samsung Medical Center, 06351, Seoul, Korea.,Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, 06351, Korea.,Department of Epidemiology, Johns Hopkins Medical Institutions, Baltimore, USA.,Department of Medicine, Johns Hopkins Medical Institutions, Baltimore, USA.,Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, USA
| | - Juhee Cho
- Center for Clinical Epidemiology, Samsung Medical Center, 06351, Seoul, Korea. .,Department of Health Sciences and Technology, Sungkyunkwan University, Seoul, 06351, Korea. .,Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, 06351, Korea.
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Korea. .,Neuroscience Center, Samsung Medical Center, 06351, Seoul, Korea.
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25
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Lee JS, Kim S, Yoo H, Park S, Jang YK, Kim HJ, Kim KW, Kim Y, Jang H, Park KC, Yaffe K, Yang JJ, Lee JM, Na DL, Seo SW. Trajectories of Physiological Brain Aging and Related Factors in People Aged from 20 to over-80. J Alzheimers Dis 2019; 65:1237-1246. [PMID: 30149442 DOI: 10.3233/jad-170537] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND/OBJECTIVE In this study, we investigated a long-term trajectory of brain aging (from the 20 s to over-80) in cognitively normal (CN) individuals. We further determined whether differences in sex, education years, and apolipoprotein E ε 4 status affect age-related cortical thinning. METHODS A total of 2,944 CN individuals who underwent high-resolution (3.0-Tesla) magnetic resonance imaging were included in this study. Cortical thickness was measured using a surface-based method. Multiple linear regression analyses were performed to evaluate age-related cortical thinning and related factors. RESULTS Compared to those in their 20 s/30 s, participants in their 40 s showed thinning primarily in the medial and lateral frontal and inferior parietal regions, and cortical thinning occurred across most of the cortices with increasing age. Notably, the precuneus, inferior temporal and lateral occipital regions were relatively spared until later in life. Male and lower education years were associated with greater cortical thinning with distinct regional specificity. CONCLUSION Our findings provide an important clue to understanding the mechanism of age-related cognitive decline and new strategies for preventing the acceleration of pathological brain aging.
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Affiliation(s)
- Jin San Lee
- Department of Medicine, Graduate School, Kyung Hee University, Seoul, Korea
| | - Seonwoo Kim
- Statistics and Data Center, Samsung Medical Center, Seoul, Korea
| | - Heejin Yoo
- Statistics and Data Center, Samsung Medical Center, Seoul, Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center 06351, Seoul, Korea
| | - Young Kyoung Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center 06351, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center 06351, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Medical School and Hospital, Jeonju, Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center 06351, Seoul, Korea
| | - Key-Chung Park
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology, Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Jin-Ju Yang
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center 06351, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center 06351, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.,Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea
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26
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Lee YH, Xiao S, Kim KW, Reno JL, Bird JP, Han JE. Giant Zero Bias Anomaly due to Coherent Scattering from Frozen Phonon Disorder in Quantum Point Contacts. Phys Rev Lett 2019; 123:056802. [PMID: 31491285 DOI: 10.1103/physrevlett.123.056802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Revised: 04/26/2019] [Indexed: 06/10/2023]
Abstract
We demonstrate an unusual manifestation of coherent scattering for electron waves in mesoscopic quantum point contacts, in which fast electron dynamics allows the phonon system to serve as a quasistatic source of disorder. The low-temperature conductance of these devices exhibits a giant (≫2e^{2}/h) zero bias anomaly (ZBA), the features of which are reproduced in a nonequilibrium model for coherent scattering from the "frozen" phonon disorder. According to this model, the ZBA is understood to result from the in situ electrical manipulation of the phonon disorder, a mechanism that could open up a pathway to the on-demand control of coherent scattering in the solid state.
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Affiliation(s)
- Y-H Lee
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - S Xiao
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - K W Kim
- Center for Theoretical Physics of Complex Systems, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J L Reno
- CINT, Sandia National Laboratories, Department 1881, MS 1303, Albuquerque, New Mexico 87185, USA
| | - J P Bird
- Department of Electrical Engineering, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
| | - J E Han
- Department of Physics, University at Buffalo, the State University of New York, Buffalo, New York 14260, USA
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27
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Adhikari G, Adhikari P, de Souza EB, Carlin N, Choi S, Djamal M, Ezeribe AC, Ha C, Hahn IS, Jeon EJ, Jo JH, Joo HW, Kang WG, Kang W, Kauer M, Kim GS, Kim H, Kim HJ, Kim KW, Kim NY, Kim SK, Kim YD, Kim YH, Ko YJ, Kudryavtsev VA, Lee HS, Lee J, Lee JY, Lee MH, Leonard DS, Lynch WA, Maruyama RH, Mouton F, Olsen SL, Park BJ, Park HK, Park HS, Park KS, Pitta RLC, Prihtiadi H, Ra SJ, Rott C, Shin KA, Scarff A, Spooner NJC, Thompson WG, Yang L, Yu GH. Search for a Dark Matter-Induced Annual Modulation Signal in NaI(Tl) with the COSINE-100 Experiment. Phys Rev Lett 2019; 123:031302. [PMID: 31386435 DOI: 10.1103/physrevlett.123.031302] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Indexed: 06/10/2023]
Abstract
We present new constraints on the dark matter-induced annual modulation signal using 1.7 years of COSINE-100 data with a total exposure of 97.7 kg yr. The COSINE-100 experiment, consisting of 106 kg of NaI(Tl) target material, is designed to carry out a model-independent test of DAMA/LIBRA's claim of WIMP discovery by searching for the same annual modulation signal using the same NaI(Tl) target. The crystal data show a 2.7 cpd/kg/keV background rate on average in the 2-6 keV energy region of interest. Using a χ-squared minimization method we observe best fit values for modulation amplitude and phase of 0.0092±0.0067 cpd/kg/keV and 127.2±45.9 d, respectively.
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Affiliation(s)
- G Adhikari
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
| | - P Adhikari
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
| | - E Barbosa de Souza
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - N Carlin
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - S Choi
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - M Djamal
- Department of Physics, Bandung Institute of Technology, Bandung 40132, Indonesia
| | - A C Ezeribe
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - C Ha
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - I S Hahn
- Department of Science Education, Ewha Womans University, Seoul 03760, Republic of Korea
| | - E J Jeon
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J H Jo
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - H W Joo
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - W G Kang
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - W Kang
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - M Kauer
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - G S Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - H J Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - K W Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - N Y Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S K Kim
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - Y D Kim
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - Y H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
- Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Y J Ko
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - V A Kudryavtsev
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - H S Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - J Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J Y Lee
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - M H Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - D S Leonard
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - W A Lynch
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - R H Maruyama
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - F Mouton
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - S L Olsen
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - B J Park
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - H K Park
- Department of Accelerator Science, Korea University, Sejong 30019, Republic of Korea
| | - H S Park
- Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - K S Park
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - R L C Pitta
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - H Prihtiadi
- Department of Physics, Bandung Institute of Technology, Bandung 40132, Indonesia
| | - S J Ra
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - C Rott
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - K A Shin
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - A Scarff
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - N J C Spooner
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - W G Thompson
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - L Yang
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - G H Yu
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
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28
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Shin DW, Kim J, Jeong B, Kim KW, Shim G, Yoon T. Social noise interferes with learning in a volatile environment. Sci Rep 2019; 9:7574. [PMID: 31110325 PMCID: PMC6527564 DOI: 10.1038/s41598-019-44101-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Accepted: 05/09/2019] [Indexed: 11/09/2022] Open
Abstract
To learn through feedback, feedback should be reliable. However, if feedback is blurred by irrelevant social information, learning in a volatile environment, which requires fast learning and adaptation, might be disturbed. In this study, we investigated how feedback with social noise interferes with learning in a volatile environment by designing a probabilistic associative learning task in which the association probability changes dynamically, and the outcome was randomly blurred by an emotional face with incongruent valence. Learning in this situation was modelled by HGF-S such that emotionally incongruent feedback induces perceptual uncertainty called social noise. The Bayesian model comparison showed that the HGF-S model explains the subjects' behaviour well, and the simulation showed that social noise interrupts both learning the association probability and the volatility. Furthermore, the learning interruption influenced the subsequent decision. Finally, we found that the individual difference in how the same emotionally incongruent feedback induces social noise in varying degrees was related to the differences in event-related desynchronization induced by happy and sad faces in the right anterior insula, which encodes the degree of emotional feeling. These results advance our understanding of how feedback with emotional interference affects learning.
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Affiliation(s)
- Dong Woo Shin
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Jaejoong Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Bumseok Jeong
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea. .,KAIST Institute for Health Science and Technology, KAIST, Daejeon, Republic of Korea. .,KAIST Clinic Pappalardo Center, KAIST, Daejeon, Republic of Korea.
| | - Ko Woon Kim
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.,Department of Neurology, Chonbuk National University School of Medicine, Jeonju, Republic of Korea
| | - Geumsook Shim
- KAIST Clinic Pappalardo Center, KAIST, Daejeon, Republic of Korea
| | - Taekeun Yoon
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
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29
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Ha C, Adhikari G, Adhikari P, Barbosa de Souza E, Carlin N, Choi S, Djamal M, Ezeribe AC, Hahn IS, Jeon EJ, Jo JH, Joo HW, Kang WG, Kang W, Kauer M, Kim GS, Kim H, Kim HJ, Kim KW, Kim NY, Kim SK, Kim YD, Kim YH, Ko YJ, Kudryavtsev VA, Lee HS, Lee J, Lee JY, Lee MH, Leonard DS, Lynch WA, Maruyama RH, Mouton F, Olsen SL, Park BJ, Park HK, Park HS, Park KS, Pitta RLC, Prihtiadi H, Ra SJ, Rott C, Shin KA, Scarff A, Spooner NJC, Thompson WG, Yang L, Yu GH. First Direct Search for Inelastic Boosted Dark Matter with COSINE-100. Phys Rev Lett 2019; 122:131802. [PMID: 31012610 DOI: 10.1103/physrevlett.122.131802] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Indexed: 06/09/2023]
Abstract
A search for inelastic boosted dark matter (IBDM) using the COSINE-100 detector with 59.5 days of data is presented. This relativistic dark matter is theorized to interact with the target material through inelastic scattering with electrons, creating a heavier state that subsequently produces standard model particles, such as an electron-positron pair. In this study, we search for this electron-positron pair in coincidence with the initially scattered electron as a signature for an IBDM interaction. No excess over the predicted background event rate is observed. Therefore, we present limits on IBDM interactions under various hypotheses, one of which allows us to explore an area of the dark photon parameter space that has not yet been covered by other experiments. This is the first experimental search for IBDM using a terrestrial detector.
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Affiliation(s)
- C Ha
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - G Adhikari
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
| | - P Adhikari
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
| | - E Barbosa de Souza
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - N Carlin
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - S Choi
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - M Djamal
- Department of Physics, Bandung Institute of Technology, Bandung 40132, Indonesia
| | - A C Ezeribe
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - I S Hahn
- Department of Science Education, Ewha Womans University, Seoul 03760, Republic of Korea
| | - E J Jeon
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J H Jo
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - H W Joo
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - W G Kang
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - W Kang
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - M Kauer
- Department of Physics and Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
| | - G S Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - H J Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - K W Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - N Y Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - S K Kim
- Department of Physics and Astronomy, Seoul National University, Seoul 08826, Republic of Korea
| | - Y D Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- Department of Physics, Sejong University, Seoul 05006, Republic of Korea
| | - Y H Kim
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
- Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - Y J Ko
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - V A Kudryavtsev
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - H S Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - J Y Lee
- Department of Physics, Kyungpook National University, Daegu 41566, Republic of Korea
| | - M H Lee
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - D S Leonard
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - W A Lynch
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - R H Maruyama
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - F Mouton
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - S L Olsen
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - B J Park
- IBS School, University of Science and Technology (UST), Daejeon 34113, Republic of Korea
| | - H K Park
- Department of Accelerator Science, Korea University, Sejong 30019, Republic of Korea
| | - H S Park
- Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
| | - K S Park
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - R L C Pitta
- Physics Institute, University of São Paulo, 05508-090, São Paulo, Brazil
| | - H Prihtiadi
- Department of Physics, Bandung Institute of Technology, Bandung 40132, Indonesia
| | - S J Ra
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - C Rott
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - K A Shin
- Center for Underground Physics, Institute for Basic Science (IBS), Daejeon 34126, Republic of Korea
| | - A Scarff
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - N J C Spooner
- Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH, United Kingdom
| | - W G Thompson
- Department of Physics and Wright Laboratory, Yale University, New Haven, Connecticut 06520, USA
| | - L Yang
- Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
| | - G H Yu
- Department of Physics, Sungkyunkwan University, Suwon 16419, Republic of Korea
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30
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Kim KW, Kwon H, Kim YE, Yoon CW, Kim YJ, Kim YB, Lee JM, Yoon WT, Kim HJ, Lee JS, Jang YK, Kim Y, Jang H, Ki CS, Youn YC, Shin BS, Bang OY, Kim GM, Chung CS, Kim SJ, Na DL, Duering M, Cho H, Seo SW. Multimodal imaging analyses in patients with genetic and sporadic forms of small vessel disease. Sci Rep 2019; 9:787. [PMID: 30692550 PMCID: PMC6349863 DOI: 10.1038/s41598-018-36580-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 11/24/2018] [Indexed: 11/09/2022] Open
Abstract
Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is thought to be a pure genetic form of subcortical vascular cognitive impairment (SVCI). The aim of this study was to compare white matter integrity and cortical thickness between typical CADASIL, a genetic form, and two sporadic forms of SVCI (with NOTCH3 and without NOTCH3 variants). We enrolled typical CADASIL patients (N = 11) and SVCI patients [with NOTCH3 variants (N = 15), without NOTCH3 variants (N = 101)]. To adjust the age difference, which reflects the known difference in clinical and radiologic courses between typical CADASIL patients and SVCI patients, we constructed a W-score of measurement for diffusion tensor image and cortical thickness. Typical CADASIL patients showed more frequent white matter hyperintensities in the bilateral posterior temporal region compared to SVCI patients (p < 0.001, uncorrected). We found that SVCI patients, regardless of the presence of NOTCH3 variants, showed significantly greater microstructural alterations (W-score, p < 0.05, FWE-corrected) and cortical thinning (W-score, p < 0.05, FDR-corrected) than typical CADASIL patients. In this study, typical CADASIL and SVCI showed distinct anatomic vulnerabilities in the cortical and subcortical structures. However, there was no difference between SVCI with NOTCH3 variants and SVCI without NOTCH3 variants.
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Affiliation(s)
- Ko Woon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Neurology, Chonbuk National University Medical School & Hospital, Jeonju, Korea
| | - Hunki Kwon
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea.,Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Young-Eun Kim
- Genome Research Center, Green Cross Genome, Yong-in, Korea
| | - Cindy W Yoon
- Department of Neurology, Inha University School of Medicine, Incheon, Korea
| | - Yeo Jin Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Yong Bum Kim
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Won Tae Yoon
- Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Young Kyoung Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Kangwon National University Hospital, Kangwon National University College of Medicine, Chuncheon, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chang-Seok Ki
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Chul Youn
- Department of Neurology, Chung-Ang University College of Medicine, Seoul, Korea
| | - Byoung-Soo Shin
- Department of Neurology, Chonbuk National University Medical School & Hospital, Jeonju, Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Gyeong-Moon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chin-Sang Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Joo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU, Munich, Germany
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, and Departments of, Clinical Research Design and Evaluation, Seoul, Korea.
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. .,Neuroscience Center, Samsung Medical Center, Seoul, Korea. .,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.
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31
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Kim J, Park S, Yoo H, Jang H, Kim Y, Kim KW, Jang YK, Lee JS, Kim ST, Kim S, Lee JM, Ki CS, Na DL, Seo SW, Kim HJ. The Impact of APOE ɛ4 in Alzheimer's Disease Differs According to Age. J Alzheimers Dis 2019; 61:1377-1385. [PMID: 29376853 DOI: 10.3233/jad-170556] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
We evaluated how the impact of apolipoprotein E4 (APOE4) differs according to age in Alzheimer's disease (AD) patients. We recruited 846 AD patients and 815 cognitively normal controls and categorized into three groups with respect to their age (<65, 65-74, and ≥75 years). We evaluated the risk of AD in APOE4 carriers and compared cortical thickness and cognitive function according to APOE4 status in each age group. At the point of this study, in young (<65 years) AD, APOE4 noncarriers had the most severe frontal and perisylvian atrophy, while in old (≥75 years) AD, APOE4 carriers had the most severe medial temporal atrophy. In AD under 75 years, APOE4 noncarriers and heterozygotes showed worse performance in language, visuospatial, and frontal function compared to homozygotes, while, in old (≥75 years) AD, APOE4 homozygotes showed worse performance in memory compared to noncarriers. As the detrimental effects of APOE4 seen in older AD patients were not found in younger AD patients, we suggest that some unrevealed factors are associated with cortical atrophy and non-amnestic cognitive dysfunction in young AD with APOE4 noncarriers.
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Affiliation(s)
- Jaeho Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Heejin Yoo
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Chonbuk National University Hospital, Chonbuk National University Medical school, JeonJu, Korea
| | - Young Kyoung Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Sung Tae Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seonwoo Kim
- Biostatistics team, Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Korea
| | - Jong Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Chang-Seok Ki
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
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32
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Lee IS, Park SH, Choi SJ, Shim Y, Ahn SJ, Kim KW, Kim KK, Jeong YM, Choe YH. Diagnostic Performance of Multidetector Computerized Tomography in the Detection of Abdominal Complications Early and Late After Liver Transplantation: A 10-Year Experience. Transplant Proc 2018; 50:3673-3680. [PMID: 30577254 DOI: 10.1016/j.transproceed.2018.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Revised: 08/15/2018] [Accepted: 09/05/2018] [Indexed: 11/30/2022]
Abstract
BACKGROUND Multidetector computerized tomography (MDCT) is considered to be a fast noninvasive diagnostic technique for the evaluation of postoperative complications in patients with liver transplantation (LT). However, its role has not been fully established in the diagnosis for detecting complications after liver transplantation. The aim of this work was to evaluate the diagnostic performance of MDCT for detecting abdominal complications in the early and late periods after LT. METHODS We retrospectively enrolled 75 patients who had undergone LT from March 2006 to January 2010, followed by MDCT from March 2006 to November 2017. Patients were divided into 2 groups according to the timing after LT: within the first 3 months (early period) or ≥3 months after LT (late period). We evaluated vascular, biliary, and other complications on MDCT. Angiography, endoscopic retrograde cholangiography, and percutaneous transhepatic cholangiography were used as reference standards. RESULTS We initially found 77 complications in 45 patients (60.0%) with the use of MDCT. After comparison with the reference standards, 83 complications were diagnosed in 49 patients (65.3%). Forty-seven complications (34 vascular, 10 biliary, 3 other complications) were diagnosed in 33 patients (44.0%) during the early period, and 36 complications (6 vascular, 20 biliary, 10 other complications) were detected in 27 patients (36.0%) in the late period. The sensitivity, specificity, and diagnostic accuracy of MDCT for diagnosing overall complications were, respectively, 93.6%, 90.2%, and 92.0% in the early period (for vascular complications: 97.1%, 92.6%, and 94.3%,; for biliary complications: 80.0%, 100%, and 97.7%) and 77.8%, 98.1%, and 89.8% in the late period (for vascular complications: 83.3%, 100%, and 98.9%; for biliary complications: 65.0%, 98.6%, and 90.9%). CONCLUSIONS Although MDCT in the late period should be interpreted with caution in patients with suspected biliary complication, MDCT is a reliable diagnostic technique for the identification of early and late abdominal complications after LT.
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Affiliation(s)
- I S Lee
- Department of Radiology, Gil Medical Center, Gachon University, Incheon, Korea
| | - S H Park
- Department of Radiology, Gil Medical Center, Gachon University, Incheon, Korea.
| | - S J Choi
- Department of Radiology, Gil Medical Center, Gachon University, Incheon, Korea
| | - Y Shim
- Department of Radiology, Gil Medical Center, Gachon University, Incheon, Korea
| | - S-J Ahn
- Department of Radiology, Gil Medical Center, Gachon University, Incheon, Korea
| | - K W Kim
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - K K Kim
- Department of Surgery, Gil Medical Center, Gachon University, Incheon, Korea
| | - Y M Jeong
- Department of Radiology, Gil Medical Center, Gachon University, Incheon, Korea
| | - Y H Choe
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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33
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Hwang JS, Kim YJ, Yoo YJ, Kim KW, Rhee JY, Chen LY, Li SR, Guo XW, Lee YP. Tunable quad-band transmission response, based on single-layer metamaterials. Opt Express 2018; 26:31607-31616. [PMID: 30650744 DOI: 10.1364/oe.26.031607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 11/04/2018] [Indexed: 06/09/2023]
Abstract
We investigated the electromagnetically induced transparency (EIT)-like effects in planar metamaterials (MMs) at microwave (GHz) frequencies. The specific MMs that were used in this study consist of cut-wire resonator/ring resonator, which achieved the dual EIT-like effects in a single-layer through the bright- and quasi-dark-mode coupling and the lattice mode coupling. In addition, by varying the distance between the two resonators, the quad-band EIT spectral response in the microwave region was obtained, and the group refractive index at the EIT-like resonance of proposed design reached up to 4,000. This study provides the design approach to the multispectral EIT-like effects and might suggest potential applications in a variety of fields, for example, low-loss slow-light device, multiple switching sensor, and other sensing devices.
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34
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Kim KW, Choi JD, Lee H, Lee NK, Park S, Chin J, Lee BH, Shin J, Kim Y, Jang H, Choi JH, Na DL. Social Event Memory Test (SEMT): A Video-based Memory Test for Predicting Amyloid Positivity for Alzheimer's Disease. Sci Rep 2018; 8:10421. [PMID: 29991732 PMCID: PMC6039498 DOI: 10.1038/s41598-018-28768-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 06/20/2018] [Indexed: 12/02/2022] Open
Abstract
Recent improvements in neuroimaging and molecular markers of Alzheimer’s disease (AD) have aided diagnosis in the early stage of the disease, which greatly increases the chance for successful prevention and treatment. However, the expanding resources for AD diagnosis are unlikely to benefit all elderly due to economic burden. Here, we aimed to develop an inexpensive and sensitive method to detect early-stage AD. A scenario for real-world social event memory test (SEMT) was created and filmed in 360° video. Participants watched the 7-min video through head-mounted display (HMD) and then answered questionnaire about the video. We categorized the SEMT score into recall, recognition, and place-matching scores and compared them to scores on the Mini-Mental State Examination and Seoul Verbal Learning Test. Using the SEMT scores, we built a logistic regression model that discriminated between amyloid positivity and negativity of the participants, with a cross-validation AUC. Furthermore, a classifier was created using support vector machine, which produced 93.8–95.1% sensitivity in classifying individuals into four groups of normal, mild cognitive impairment with or without amyloid, and AD elderly. The high correlation between the SEMT score and amyloid positivity in individuals who experienced virtual social gathering through an HMD opens a new possibility for early diagnosis of AD.
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Affiliation(s)
- Ko Woon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Neurology, Chonbuk National University Medical School & Hospital, Jeonju, Korea
| | - Jong Doo Choi
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyejoo Lee
- Convergence Research Center for Diagnosis, Treatment, and Care System of Dementia, Center for Neuroscience, Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Na Kyung Lee
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Juhee Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Byung Hwa Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jiwon Shin
- Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jee Hyun Choi
- Convergence Research Center for Diagnosis, Treatment, and Care System of Dementia, Center for Neuroscience, Korea Institute of Science and Technology, Seoul, Republic of Korea.
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. .,Neuroscience Center, Samsung Medical Center, Seoul, Korea. .,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea.
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35
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Jang H, Jang YK, Kim HJ, Werring DJ, San Lee J, Choe Y, Park S, Lee J, Kim KW, Kim Y, Cho SH, Kim SE, Kim SJ, Na DL, Seo SW. P3‐346: CLINICAL SIGNIFICANCE OF AMYLOID BETA POSITIVITY IN PATIENTS WITH CEREBRAL AMYLOID ANGIOPATHY MARKERS. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.06.1707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
| | | | - Hee Jin Kim
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulSouth Korea
| | | | - Jin San Lee
- Kyung Hee University HospitalSeoulSouth Korea
| | | | | | - Juyoun Lee
- Chungnam National University HospitalDaejeonSouth Korea
| | | | - Yeshin Kim
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulSouth Korea
| | | | - Si Eun Kim
- Inje University College of MedicineBusanSouth Korea
| | | | - Duk L. Na
- Samsung Medical CenterSeoulSouth Korea
| | - Sang Won Seo
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulSouth Korea
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Kim KW, Park S, Seo SW, Jo H, Kim Y, Jang H, Na DL, Kim HJ. P1‐407: ALZHEIMER'S DISEASE WITH RIGHT FOCAL CORTICAL ATROPHY. Alzheimers Dement 2018. [DOI: 10.1016/j.jalz.2018.06.416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Affiliation(s)
- Ko Woon Kim
- Samsung Medical CenterSeoulRepublic of South Korea
- Chonbuk National HospitalJeonjuRepublic of South Korea
| | | | - Sang Won Seo
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of South Korea
| | - Hyunjin Jo
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Yeshin Kim
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of South Korea
| | - Hyemin Jang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Duk L. Na
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Hee Jin Kim
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of South Korea
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37
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Park Y, Paik NJ, Kim KW, Jang HC, Lim JY. Depressive Symptoms, Falls, and Fear of Falling in Old Korean Adults: The Korean Longitudinal Study on Health and Aging (KLoSHA). J Frailty Aging 2018; 6:144-147. [PMID: 28721431 DOI: 10.14283/jfa.2017.21] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Fall is a common cause of disability and death in old adults, and much research has been focused on identifying risk factors and developing preventive measures. Yet the majority of preceding research has been focused on physical performance. This study aims to evaluate the association between fall and depressive symptoms in community-dwelling elderly. Cross-sectional data of 431 men and 546 women was collected from old Korean adults living in Seongnam, Korea. Geriatric fall assessment was conducted by self-report questionnaires. Depressive symptoms were assessed by the Center for Epidemiologic Studies Depression Scale. Results indicated that depressive symptoms were associated with both fall and fear of falling in old adults. A clear gender difference was newly discovered, as depression played a stronger role in women. These results imply that clinicians should consider the negative affect of geriatric patients when assessing fall risk. Also, measures against depression might be effective in reducing falls.
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Affiliation(s)
- Y Park
- Jae-Young Lim, MD, Department of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea, Telephone: +82 31 787 7732, Fax: +82 31 787 4056, E-mail:
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38
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Lee SW, Yoo JH, Kim KW, Kim D, Park H, Choi J, Teicher MH, Jeong B. Hippocampal Subfields Volume Reduction in High Schoolers with Previous Verbal Abuse Experiences. Clin Psychopharmacol Neurosci 2018; 16:46-56. [PMID: 29397666 PMCID: PMC5810448 DOI: 10.9758/cpn.2018.16.1.46] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Revised: 01/31/2017] [Accepted: 02/28/2017] [Indexed: 12/21/2022]
Abstract
Objective Reduced hippocampal volume and alterations in white matter tracts have been frequently reported in adults having the history of emotional maltreatment. We investigated whether these structural change occur in adolescents with previous verbal abuse (VA) experiences. Methods Hippocampal subfield volume and white matter structural connectivity measures were assessed in 31 first year male high school students with various degrees of exposure to parental and peer VA. Results The high VA group showed significant volume reduction in the left cornu ammonis (CA) 1 and left subiculum compared to the low VA group (p<0.05). Volumes of left hippocampal subfields CA1 and subiculum were negatively correlated with previous VA experiences (p<0.05). Increased mean diffusivity (MD) of the splenium of the corpus callosum was related to high VA score across all subjects (p<0.05). There was an inverse relationship between volume of the CA1 and subiculum and MD of the splenium (p<0.05). Conclusion Exposure to parental and peer VA may affect development of the left hippocampal subfields and the splenium of corpus callosum. These structural alterations can be discernible during adolescence.
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Affiliation(s)
- Sang Won Lee
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea.,Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea
| | - Jae Hyun Yoo
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Ko Woon Kim
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea
| | - Dongchan Kim
- Department of Electrical Engineering, KAIST, Daejeon, Korea
| | - HyunWook Park
- Department of Electrical Engineering, KAIST, Daejeon, Korea
| | - Jeewook Choi
- Department of Psychiatry, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Korea
| | - Martin H Teicher
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.,Developmental Biopsychiatry Research Program, McLean Hospital, Belmont, MA, USA
| | - Bumseok Jeong
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea.,KAIST Institute for Health Science and Technology, KAIST, Daejeon, Korea
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39
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Kim YS, Kim MN, Lee KE, Hong JY, Oh MS, Kim SY, Kim KW, Sohn MH. Activated leucocyte cell adhesion molecule (ALCAM/CD166) regulates T cell responses in a murine model of food allergy. Clin Exp Immunol 2018; 192:151-164. [PMID: 29363753 DOI: 10.1111/cei.13104] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2018] [Indexed: 12/14/2022] Open
Abstract
Food allergy is a major public health problem. Studies have shown that long-term interactions between activated leucocyte cell adhesion molecule (ALCAM/CD166) on the surface of antigen-presenting cells, and CD6, a co-stimulatory molecule, influence immune responses. However, there are currently no studies on the functions of ALCAM in food allergy. Therefore, we aimed to identify the functions of ALCAM in ovalbumin (OVA)-induced food allergy using ALCAM-deficient mice. Wild-type (WT) and ALCAM-deficient (ALCAM-/- ) mice were sensitized intraperitoneally and with orally fed OVA. The mice were killed, and parameters related to food allergy and T helper type 2 (Th2) immune responses were analysed. ALCAM serum levels increased and mRNA expression decreased in OVA-challenged WT mice. Serum immunoglobulin (Ig)E levels, Th2 cytokine mRNA and histological injuries were higher in OVA-challenged WT mice than in control mice, and these were attenuated in ALCAM-/- mice. T cell proliferation of total cells, CD3+ CD4+ T cells and activated T cells in immune tissues were diminished in OVA-challenged ALCAM-/- mice. Proliferation of co-cultured T cells and dendritic cells (DCs) was decreased by the anti-CD6 antibody. In addition, WT mice sensitized by adoptive transfer of OVA-pulsed ALCAM-/- BM-derived DCs showed reduced immune responses. Lastly, serum ALCAM levels were higher in children with food allergy than in control subjects. In this study, serum levels of ALCAM were elevated in food allergy-induced WT mice and children with food allergy. Moreover, immune responses and T cell activation were attenuated in OVA-challenged ALCAM-/- mice. These results indicate that ALCAM regulates food allergy by affecting T cell activation.
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Affiliation(s)
- Y S Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M N Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - K E Lee
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - J Y Hong
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M S Oh
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - S Y Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - K W Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M H Sohn
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
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40
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Gerber S, Yang SL, Zhu D, Soifer H, Sobota JA, Rebec S, Lee JJ, Jia T, Moritz B, Jia C, Gauthier A, Li Y, Leuenberger D, Zhang Y, Chaix L, Li W, Jang H, Lee JS, Yi M, Dakovski GL, Song S, Glownia JM, Nelson S, Kim KW, Chuang YD, Hussain Z, Moore RG, Devereaux TP, Lee WS, Kirchmann PS, Shen ZX. Femtosecond electron-phonon lock-in by photoemission and x-ray free-electron laser. Science 2018; 357:71-75. [PMID: 28684521 DOI: 10.1126/science.aak9946] [Citation(s) in RCA: 130] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 05/03/2017] [Indexed: 11/02/2022]
Abstract
The interactions that lead to the emergence of superconductivity in iron-based materials remain a subject of debate. It has been suggested that electron-electron correlations enhance electron-phonon coupling in iron selenide (FeSe) and related pnictides, but direct experimental verification has been lacking. Here we show that the electron-phonon coupling strength in FeSe can be quantified by combining two time-domain experiments into a "coherent lock-in" measurement in the terahertz regime. X-ray diffraction tracks the light-induced femtosecond coherent lattice motion at a single phonon frequency, and photoemission monitors the subsequent coherent changes in the electronic band structure. Comparison with theory reveals a strong enhancement of the coupling strength in FeSe owing to correlation effects. Given that the electron-phonon coupling affects superconductivity exponentially, this enhancement highlights the importance of the cooperative interplay between electron-electron and electron-phonon interactions.
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Affiliation(s)
- S Gerber
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,SwissFEL and Laboratory for Micro and Nanotechnology, Paul Scherrer Institut, 5232 Villigen PSI, Switzerland
| | - S-L Yang
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - D Zhu
- Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - H Soifer
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - J A Sobota
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - S Rebec
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - J J Lee
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - T Jia
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - B Moritz
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - C Jia
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - A Gauthier
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.,Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305, USA
| | - Y Li
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - D Leuenberger
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - Y Zhang
- International Center for Quantum Materials, Peking University, Beijing 100871, China
| | - L Chaix
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - W Li
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - H Jang
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - J-S Lee
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - M Yi
- Department of Physics, University of California-Berkeley, Berkeley, CA 94720, USA
| | - G L Dakovski
- Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - S Song
- Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - J M Glownia
- Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - S Nelson
- Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - K W Kim
- Department of Physics, Chungbuk National University, Cheongju 28644, Korea
| | - Y-D Chuang
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Z Hussain
- Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - R G Moore
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - T P Devereaux
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA
| | - W-S Lee
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.
| | - P S Kirchmann
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA.
| | - Z-X Shen
- Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory and Stanford University, Menlo Park, CA 94025, USA. .,Geballe Laboratory for Advanced Materials, Departments of Physics and Applied Physics, Stanford University, Stanford, CA 94305, USA
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Abstract
PURPOSE The Mini-Mental State Examination (MMSE) is one of the most frequently used bedside screening measures of cognition. However, the Korean Dementia Screening Questionnaire (KDSQ) is an easier and more reliable screening method. Instead, other clinical variables and raw data were used for this study without the consideration of a cutoff value. The objective of this study was to develop a machine-learning algorithm for the detection of cognitive impairment (CI) based on the KDSQ and the MMSE. PATIENTS AND METHODS The original dataset from the Clinical Research Center for Dementia of South Korea study was obtained. In total, 9,885 and 300 patients were randomly allocated to the training and test datasets, respectively. We selected up to 24 variables including sex, age, education duration, diabetes mellitus, and hypertension. We trained a machine-learning algorithm using TensorFlow based on the training dataset and then calculated its accuracy using the test dataset. The cost was calculated by conducting a logistic regression. RESULTS The accuracy of the model in predicting CI based on the KDSQ only, the MMSE only, and the combination of the KDSQ and MMSE was 84.3%, 88.3%, and 86.3%, respectively. For the KDSQ, the sensitivity for detecting CI was 91.50% and the specificity for detecting normal cognition (NL) was 59.60%. The sensitivity of the MMSE was 94.35%, and the specificity was 59.62%. When combining the KDSQ and the MMSE, the sensitivity for detecting CI was 91.5% and the specificity for detecting NL was 61.5%. CONCLUSION The algorithm predicting CI based on the MMSE is superior. However, the KDSQ can be administered more easily in clinical practice and the algorithm using KDSQ is a comparable screening tool.
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Affiliation(s)
- Young Chul Youn
- Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University College of Medicine, Incheon, South Korea
| | - Hae-Won Shin
- Department of Neurology, College of Medicine, Chung-Ang University, Seoul, South Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Medical School and Hospital, Chonbuk, South Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University Hospital, Chuncheon, South Korea
| | - Jason J Jung
- Department of Computer Engineering, Chung-Ang University, Seoul, South Korea
| | - Ging-Yuek Robin Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - SangYun Kim
- Department of Neurology, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seoul, South Korea,
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Sol IS, Kim YH, Park YA, Lee KE, Hong JY, Kim MN, Kim YS, Oh MS, Yoon SH, Kim MJ, Kim KW, Sohn MH, Kim KE. Relationship between sputum clusterin levels and childhood asthma. Clin Exp Allergy 2017; 46:688-95. [PMID: 26661728 DOI: 10.1111/cea.12686] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Revised: 11/27/2015] [Accepted: 12/05/2015] [Indexed: 12/25/2022]
Abstract
BACKGROUND Clusterin is a sensitive cellular biosensor of oxidative stress and has been studied as a biomarker for inflammation-associated diseases. Clusterin levels in childhood asthma have not been evaluated. OBJECTIVES (1) To evaluate sputum clusterin levels in children with asthma compared to a control group. (2) To assess the relationships between sputum clusterin levels and airway inflammation, pulmonary function, and bronchial hyperresponsiveness. METHODS This study included 170 children aged 5-18 years with stable asthma (n = 91), asthma exacerbation (n = 29), or no asthma (healthy controls; n = 50). Induced sputum, pulmonary function, and methacholine challenge tests were performed. Stable asthma was classified into two groups according to the severity. Clusterin levels in sputum were measured using an enzyme-linked immunosorbent assay. RESULTS Children with stable asthma had a higher clusterin level than healthy controls [4540 (3872-5651) pg/mL vs. 3857 (1054-4369) pg/mL, P < 0.001]. The clusterin level was also more elevated in eosinophil-dominant sputum than in non-eosinophilic sputum in stable asthma [5094 (4243-6257) pg/mL vs. 4110 (1871-4839) pg/mL, P = 0.0017]. Clusterin levels were associated with asthma severity. Paradoxically, clusterin levels were lower during asthma exacerbation than in stable asthma [1838 (350-4790] pg/mL vs. 4540 (3872-5651) pg/mL, P < 0.001]. Clusterin levels were strongly correlated with the methacholine concentration that caused a 20% decrease in the forced expiratory volume in 1 s (r = -0.617, P < 0.001); there was no significant correlation between clusterin levels and other pulmonary function parameters. CONCLUSIONS AND CLINICAL RELEVANCE Clusterin levels were altered in children with stable asthma and asthma exacerbation because of its antioxidant and anti-inflammatory effects. Clusterin may be a marker that reflects airway inflammation and severity of symptoms, and it can be used in the assessment and management of childhood asthma.
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Affiliation(s)
- I S Sol
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - Y H Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - Y A Park
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - K E Lee
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - J Y Hong
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M N Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - Y S Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M S Oh
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - S H Yoon
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M J Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - K W Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - M H Sohn
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - K E Kim
- Department of Pediatrics, Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
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Kim KW, Kim JH, Choe WJ, Kim JY, Lee SI, Kim KT, Park JS, Kim JW, Lee Y, Lee JH, Park J. Effectiveness of 100 Beats per Minute Music on Cardiopulmonary Resuscitation Compression Rate Education: A Manikin Study. HONG KONG J EMERG ME 2017. [DOI: 10.1177/102490791702400102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Introduction Recent cardiopulmonary resuscitation (CPR) guidelines emphasize the importance of high-quality chest compression. The aim of this study is to determine the effect of education using music on the chest compression rate. Methods This randomised, open-labeled study enrolled 81 medical students. They were randomly divided into three groups. After they were educated in CPR according to the American Heart Association 2010 guidelines, they performed 100 chest compressions using a mannequin capable of collecting each compression depth and speed. After that, the control group received a verbal feedback about their own results. The metronome group was also notified of their own results, and listened to the metronome sound at 100 beats per minute (bpm). The music group listened to the music (about 100 bpm). Twenty-four hours after their CPR education, chest compressions were performed again with the method identical to the first evaluation. The results were compared using multivariate analysis of variances. Result Compression rate (bpm): There was a significant difference between the control (mean, 110.4; 95% CI: 104.4, 116.5) and metronome group (mean, 98.5; 95% CI: 91.6, 105.4) after education (p=0.01). There was a significant difference between control and music group (mean, 98.2; 95% CI: 94.6, 101.8) after education (p<0.001) There were no differences between the music and metronome group before or after education (p=0.50, p=0.94). However, the variance of music group was significantly less than the metronome group (p=0.01). Compression depth (inches): there was no difference between the groups according to the CPR education method. (Control: 1.8±0.3; Metronome group: 1.6±0.2; Music group: 1.7±0.3 p=0.09) Conclusion Both education method of using music and metronome are more effective than conventional method. However the effect of using music may be better than using metronome.
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Affiliation(s)
- KW Kim
- Inje University Seoul Paik Hospital, Department of Anesthesiology and Pain Medicine, 9 Marunnai-ro, Jung-gu, Seoul, Korea
| | - JH Kim
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - WJ Choe
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - JY Kim
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - SI Lee
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - KT Kim
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - JS Park
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - JW Kim
- Inje University Ilsan Paik Hospital, Department of Anesthesiology and Pain Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
| | - Y Lee
- Dongguk University Medical Center Ilsan Hospital, Department of Anesthesiology/Statistic Institute, 27 Dongguk-ro IlsanDong-gu, Goyang-si, Gyeonggi-do, Korea
| | - JH Lee
- Dongguk University Medical Center Ilsan Hospital, Department of Anesthesiology/Statistic Institute, 27 Dongguk-ro IlsanDong-gu, Goyang-si, Gyeonggi-do, Korea
| | - J Park
- Inje University Ilsan Paik Hospital, Department of Emergency Medicine, 2240 Daehwa-dong, IlsanSeo-gu, Goyang-si, Gyeonggi-do, Korea
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44
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Jang H, Park SB, Kim Y, Kim KW, Lee JI, Kim ST, Lee KH, Kang ES, Choe YS, Seo SW, Kim HJ, Kim YJ, Yoon CW, Na DL. Prognostic value of amyloid PET scan in normal pressure hydrocephalus. J Neurol 2017; 265:63-73. [PMID: 29128930 DOI: 10.1007/s00415-017-8650-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2017] [Revised: 10/09/2017] [Accepted: 10/11/2017] [Indexed: 11/27/2022]
Abstract
Amyloid positron emission tomography ([18F] florbetaben (FBB) PET) can be used to determine concomitant Alzheimer's disease (AD) in idiopathic normal pressure hydrocephalus (iNPH) patients. FBB PET scans and the tap test were performed in 31 patients with clinically suspected iNPH, and amyloid positive (iNPH/FBB+) and negative (iNPH/FBB-) groups were compared with respect to clinical characteristics. We evaluated prognostic value of FBB PET scans by analyzing the response to the tap test using a linear mixed model. We also performed a multivariable regression analysis to investigate whether amyloid PET positivity can predict the positive tap test response independent of other AD biomarkers. The results showed that the iNPH/FBB+ group (7/31, 22.6%) had a higher percentage of APOE4 carriers, lower Aβ42, higher CSF t-tau, and p-tau/Aβ42 ratio than the iNPH/FBB- group (24/31, 77.4%), while the two groups did not differ in imaging characteristics. The iNPH/FBB- group had a higher percentage of tap responders and showed a greater improvement in gait scores after the tap test than the iNPH/FBB+ group (group-tap test effect interaction, p = 0.035). A multivariable logistic regression analysis showed that amyloid positivity on PET scans (OR 0.03, p = 0.029) and CSF p-tau (OR 0.87, p = 0.044) were independently associated with the positive tap test response. Among 21 tap responders in the iNPH/FBB- group, 14 patients received shunt surgery and 12/14 (85.7%) patients showed symptom improvement. Our findings suggest that amyloid PET scans can help determine which iNPH patients will benefit from shunt surgery by discriminating concomitant AD.
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Affiliation(s)
- Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Seong Beom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jung Il Lee
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Tae Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung Han Lee
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun-Suk Kang
- Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yeong Sim Choe
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Yeo Jin Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Cindy W Yoon
- Department of Neurology, Inha University School of Medicine, Incheon, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-dong, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Neuroscience Center, Samsung Medical Center, Seoul, Korea.
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
- Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, Korea.
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45
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Jang H, Kwon H, Yang JJ, Hong J, Kim Y, Kim KW, Lee JS, Jang YK, Kim ST, Lee KH, Lee JH, Na DL, Seo SW, Kim HJ, Lee JM. Correlations between Gray Matter and White Matter Degeneration in Pure Alzheimer's Disease, Pure Subcortical Vascular Dementia, and Mixed Dementia. Sci Rep 2017; 7:9541. [PMID: 28842654 PMCID: PMC5573310 DOI: 10.1038/s41598-017-10074-x] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 08/04/2017] [Indexed: 11/09/2022] Open
Abstract
Alzheimer's disease dementia (ADD) and subcortical vascular dementia (SVaD) both show cortical thinning and white matter (WM) microstructural changes. We evaluated different patterns of correlation between gray matter (GM) and WM microstructural changes in pure ADD, pure SVaD, and mixed dementia. We enrolled 40 Pittsburgh compound B (PiB) positive ADD patients without WM hyperintensities (pure ADD), 32 PiB negative SVaD patients (pure SVaD), 23 PiB positive SVaD patients (mixed dementia), and 56 normal controls. WM microstructural integrity was quantified using fractional anisotropy (FA), axial diffusivity (DA), and radial diffusivity (DR) values. We used sparse canonical correlation analysis to show correlated regions of cortical thinning and WM microstructural changes. In pure ADD patients, lower FA in the frontoparietal area correlated with cortical thinning in the left inferior parietal lobule and bilateral paracentral lobules. In pure SVaD patients, lower FA and higher DR across extensive WM regions correlated with cortical thinning in bilateral fronto-temporo-parietal regions. In mixed dementia patients, DR and DA changes across extensive WM regions correlated with cortical thinning in the bilateral fronto-temporo-parietal regions. Our findings showed that the relationships between GM and WM degeneration are distinct in pure ADD, pure SVaD, and mixed dementia, suggesting that different pathomechanisms underlie their correlations.
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Affiliation(s)
- Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hunki Kwon
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Jin-Ju Yang
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Jinwoo Hong
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Yeshin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Ko Woon Kim
- Department of Neurology, Chonbuk National University Hospital, Chonbuk National University Medical school, JeonJu, Korea
| | - Jin San Lee
- Department of Neurology, Kyung Hee University Hospital, Seoul, Korea
| | - Young Kyoung Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sung Tae Kim
- Radiology Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung Han Lee
- Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Hong Lee
- Department of Neurology, Asan Medical Center, Ulsan University School of Medicine, Seoul, Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
- Stem Cell & Regenerative Medicine Institute, Samsung Medical Center, Seoul, Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
- Neuroscience Center, Samsung Medical Center, Seoul, Korea.
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea.
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46
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Kim HJ, Choe Y, Park S, San Lee J, Jang YK, Jang H, Kim Y, Kim KW, Roh JH, Oh SJ, Oh M, Na DL, Kim JS, Seo SW. [P2–406]: IN VIVO BRAAK STAGING OF AMNESTIC MCI USING
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F‐THK5351 PET IMAGING. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Hee Jin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | | | | | - Jin San Lee
- Samsung Medical CenterSeoulRepublic of South Korea
| | | | - Hyemin Jang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Yeshin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Ko Woon Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | | | | | - Minyoung Oh
- Asan Medical CenterSeoulRepublic of South Korea
| | - Duk L. Na
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of South Korea
| | | | - Sang Won Seo
- Samsung Medical CenterSeoulRepublic of South Korea
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Lee SW, Choi J, Lee JS, Yoo JH, Kim KW, Kim D, Park H, Jeong B. Altered Function of Ventrolateral Prefrontal Cortex in Adolescents with Peer Verbal Abuse History. Psychiatry Investig 2017; 14:441-451. [PMID: 28845171 PMCID: PMC5561402 DOI: 10.4306/pi.2017.14.4.441] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 05/11/2016] [Accepted: 06/30/2016] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE Previous studies showing the association of exposure to peer (PeVA) and parental verbal abuse in childhood with structural alterations in the young adult brain suggest functional changes in adolescence. In this functional MRI study, we investigated the effects of exposure to PeVA, during elementary and middle school periods, on brain response to emotional words, in high school students. METHODS An emotional Stroop task consisting of swear, negative, positive, and neutral words was performed during functional MRI scan for 23 subjects who were divided into low- and high exposure groups to PeVA. RESULTS High-PeVA group had a higher depression score, greater left ventrolateral prefrontal cortex (VLPFC) activity, and higher left VLPFC-left hippocampus connectivity in swear word conditions. The VLPFC activity and left VLPFC-left hippocampus connectivity was negatively related to the severity of anxiety and depressive symptoms, respectively. CONCLUSION These preliminary findings support the hypothesis that exposure to PeVA, during childhood, is an aversive stimulus associated with meaningful functional change in emotional regulation network, showing hypersensitivity to swear words, at middle adolescence.
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Affiliation(s)
- Sang Won Lee
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea
- Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Republic of Korea
| | - Jeewook Choi
- Department of Psychiatry, Daejeon St. Mary's Hospital, The Catholic University of Korea College of Medicine, Daejeon, Republic of Korea
| | - Jong-Sun Lee
- Department of Psychology, Kangwon National University, Chuncheon, Republic of Korea
| | - Jae Hyun Yoo
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea
| | - Ko Woon Kim
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea
| | - Dongchan Kim
- Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea
| | - HyunWook Park
- Department of Electrical Engineering, KAIST, Daejeon, Republic of Korea
| | - Bumseok Jeong
- Computational Affective Neuroscience and Development Laboratory, Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea
- KI for Health Science and Technology, KAIST Institute, KAIST, Daejeon, Republic of Korea
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48
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Jang H, Kang D, Kim Y, Kim KW, San Lee J, Jang YK, Na DL, Shin HY, Kang M, Guallar E, Cho J, Seo SW. [P1–428]: NON‐ALCOHOLIC FATTY LIVER DISEASE AND CEREBRAL SMALL‐VESSEL DISEASE IN COGNITIVELY NORMAL INDIVIDUALS. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Affiliation(s)
- Hyemin Jang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Danbee Kang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Yeshin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Ko Woon Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Jin San Lee
- Kyung Hee University HospitalSeoulRepublic of South Korea
| | | | - Duk L. Na
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of South Korea
| | | | - Mira Kang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Eliseo Guallar
- Johns Hopkins Bloomberg School of Public HealthBaltimoreMDUSA
| | - Juhee Cho
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Sang Won Seo
- Samsung Medical CenterSeoulRepublic of South Korea
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49
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San Lee J, Shin J, Cho H, Jang YK, Kim HJ, Kim KW, Kim Y, Jang H, Park K, Na DL, Seong J, Seo SW. [P1–423]: THE DEVELOPMENT OF AN ALZHEIMER's DISEASE RISK SCORE BASED ON THE CORTICAL THICKNESS ANALYSES. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jin San Lee
- Kyung Hee University HospitalSeoulRepublic of South Korea
| | | | - Hanna Cho
- Gangnam Severance HospitalSeoulRepublic of South Korea
| | | | - Hee Jin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Ko Woon Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Yeshin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Hyemin Jang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Key‐Chung Park
- Kyung Hee University HospitalSeoulRepublic of South Korea
| | - Duk L. Na
- Samsung Medical CenterSungkyunkwan University School of MedicineSeoulRepublic of South Korea
| | | | - Sang Won Seo
- Samsung Medical CenterSeoulRepublic of South Korea
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50
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Kim HJ, Cho S, Jang YK, San Lee J, Jang H, Kim Y, Kim KW, Na DL, Seo SW. [P3–258]: TRAJECTORIES OF COGNITIVE DECLINE IN SUBCORTICAL VASCULAR COGNITIVE IMPAIRMENT. Alzheimers Dement 2017. [DOI: 10.1016/j.jalz.2017.06.1472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Hee Jin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Seong‐Kyung Cho
- Yonsei University College of MedicineSeoulRepublic of South Korea
| | | | - Jin San Lee
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Hyemin Jang
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Yeshin Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Ko Woon Kim
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Duk L. Na
- Samsung Medical CenterSeoulRepublic of South Korea
| | - Sang Won Seo
- Samsung Medical CenterSeoulRepublic of South Korea
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