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Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL, Zyriax BC, Zeller T, Kühn S, Gallinat J, Fiehler J, Twerenbold R, Omidvarnia A, Patil KR, Eickhoff SB, Thomalla G, Cheng B. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition. eLife 2024; 12:RP93246. [PMID: 38512127 PMCID: PMC10957178 DOI: 10.7554/elife.93246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024] Open
Abstract
The link between metabolic syndrome (MetS) and neurodegenerative as well as cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, brain morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis, we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Felix L Nägele
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - D Leander Rimmele
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Birgit-Christiane Zyriax
- Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-EppendorfHamburgGermany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular CenterHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Heart and Vascular CenterHamburgGermany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular CenterHamburgGermany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/LuebeckHamburgGermany
- University Center of Cardiovascular Science, University Heart and Vascular CenterHamburgGermany
- Epidemiological Study Center, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Kaustubh R Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Simon B Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University DüsseldorfDüsseldorfGermany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center JülichJülichGermany
| | - Goetz Thomalla
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-EppendorfHamburgGermany
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Kim J, Kim J, Park YH, Yoo H, Kim JP, Jang H, Park H, Seo SW. Distinct spatiotemporal patterns of cortical thinning in Alzheimer's disease-type cognitive impairment and subcortical vascular cognitive impairment. Commun Biol 2024; 7:198. [PMID: 38368479 PMCID: PMC10874406 DOI: 10.1038/s42003-024-05787-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 01/03/2024] [Indexed: 02/19/2024] Open
Abstract
Previous studies on Alzheimer's disease-type cognitive impairment (ADCI) and subcortical vascular cognitive impairment (SVCI) has rarely explored spatiotemporal heterogeneity. This study aims to identify distinct spatiotemporal cortical atrophy patterns in ADCI and SVCI. 1,338 participants (713 ADCI, 208 SVCI, and 417 cognitively unimpaired elders) underwent brain magnetic resonance imaging (MRI), amyloid positron emission tomography, and neuropsychological tests. Using MRI, this study measures cortical thickness in five brain regions (medial temporal, inferior temporal, posterior medial parietal, lateral parietal, and frontal areas) and utilizes the Subtype and Stage Inference (SuStaIn) model to predict the most probable subtype and stage for each participant. SuStaIn identifies two distinct cortical thinning patterns in ADCI (medial temporal: 65.8%, diffuse: 34.2%) and SVCI (frontotemporal: 47.1%, parietal: 52.9%) patients. The medial temporal subtype of ADCI shows a faster decline in attention, visuospatial, visual memory, and frontal/executive domains than the diffuse subtype (p-value < 0.01). However, there are no significant differences in longitudinal cognitive outcomes between the two subtypes of SVCI. Our study provides valuable insights into the distinct spatiotemporal patterns of cortical thinning in patients with ADCI and SVCI, suggesting the potential for individualized therapeutic and preventive strategies to improve clinical outcomes.
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Affiliation(s)
- Jinhee Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Departments of Neurology, Severance Hospital, Yonsei University School of Medicine, Seoul, Korea
| | - Jonghoon Kim
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Yu-Hyun Park
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University of Medicine, Seoul, Korea
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea
| | - Heejin Yoo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University of Medicine, Seoul, Korea
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea
| | - Jun Pyo Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University of Medicine, Seoul, Korea
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimers Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University of Medicine, Seoul, Korea
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea
- Samsung Alzheimers Convergence Research Center, Samsung Medical Center, Seoul, Korea
| | - Hyunjin Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea.
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea.
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
- Research Institute for Future Medicine, Samsung Medical Center, Sungkyunkwan University of Medicine, Seoul, Korea.
- Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea.
- Samsung Alzheimers Convergence Research Center, Samsung Medical Center, Seoul, Korea.
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Petersen M, Hoffstaedter F, Nägele FL, Mayer C, Schell M, Rimmele DL, Zyriax BC, Zeller T, Kühn S, Gallinat J, Fiehler J, Twerenbold R, Omidvarnia A, Patil KR, Eickhoff SB, Thomalla G, Cheng B. A latent clinical-anatomical dimension relating metabolic syndrome to brain structure and cognition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529531. [PMID: 36865285 PMCID: PMC9980040 DOI: 10.1101/2023.02.22.529531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
The link between metabolic syndrome (MetS) and neurodegenerative as well cerebrovascular conditions holds substantial implications for brain health in at-risk populations. This study elucidates the complex relationship between MetS and brain health by conducting a comprehensive examination of cardiometabolic risk factors, cortical morphology, and cognitive function in 40,087 individuals. Multivariate, data-driven statistics identified a latent dimension linking more severe MetS to widespread brain morphological abnormalities, accounting for up to 71% of shared variance in the data. This dimension was replicable across sub-samples. In a mediation analysis we could demonstrate that MetS-related brain morphological abnormalities mediated the link between MetS severity and cognitive performance in multiple domains. Employing imaging transcriptomics and connectomics, our results also suggest that MetS-related morphological abnormalities are linked to the regional cellular composition and macroscopic brain network organization. By leveraging extensive, multi-domain data combined with a dimensional stratification approach, our analysis provides profound insights into the association of MetS and brain health. These findings can inform effective therapeutic and risk mitigation strategies aimed at maintaining brain integrity.
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Affiliation(s)
- Marvin Petersen
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Felix Hoffstaedter
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Felix L. Nägele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Carola Mayer
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Maximilian Schell
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - D. Leander Rimmele
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Birgit-Christiane Zyriax
- Midwifery Science-Health Services Research and Prevention, Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Tanja Zeller
- Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany
- University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
| | - Simone Kühn
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Raphael Twerenbold
- Department of Cardiology, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- German Center for Cardiovascular Research (DZHK), partner site Hamburg/Kiel/Luebeck, Martinistraße 52, 20251 Hamburg, Germany
- University Center of Cardiovascular Science, University Heart and Vascular Center, Martinistraße 52, 20251 Hamburg, Germany
- Epidemiological Study Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Amir Omidvarnia
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Kaustubh R. Patil
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Simon B. Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Ju lich, Wilhelm-Johnen-Straße, 52425 Ju lich, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany
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Song J, Lei T, Li Y, Zhou L, Yan W, Li H, Chen L. Dynamic alterations in the amplitude of low-frequency fluctuation in patients with cerebral small vessel disease. Front Mol Neurosci 2023; 16:1200756. [PMID: 37808469 PMCID: PMC10556663 DOI: 10.3389/fnmol.2023.1200756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 09/01/2023] [Indexed: 10/10/2023] Open
Abstract
Background and purpose Previous studies have focused on the changes of dynamic and static functional connections in cerebral small vessel disease (CSVD). However, the dynamic characteristics of local brain activity are poorly understood. The purpose of this study was to investigate the dynamic cerebral activity changes in patients with CSVD using the dynamic amplitude of low-frequency fluctuation (d-ALFF). Methods A total of 104 CSVD patients with cognitive impairment (CSVD-CI, n = 52) or normal cognition (CSVD-NC, n = 52) and 63 matched healthy controls (HCs) were included in this study. Every participant underwent magnetic resonance imaging scans and a battery of neuropsychological examinations. The dynamics of spontaneous brain activity were assessed using dynamic changes in the amplitude of low-frequency fluctuation (ALFF) with the sliding-window method. We used voxel-wise one-way analysis of variance (ANOVA) to compare dynamic ALFF variability among the three groups. Post-hoc t-tests were used to evaluate differences between each group pair. Finally, the brain regions with d-ALFF values with differences between CSVD subgroups were taken as regions of interest (ROI), and the d-ALFF values corresponding to the ROI were extracted for partial correlation analysis with memory. Results (1) There was no significant difference in age (p = 0.120), sex (p = 0.673) and education (p = 0.067) among CSVD-CI, CSVD-NC and HC groups, but there were significant differences Prevalence of hypertension and diabetes mellitus among the three groups (p < 10-3). There were significant differences in scores of several neuropsychological scales among the three groups (p < 10-3). (2) ANOVA and post-hoc t-test showed that there were dynamic abnormalities of spontaneous activity in several brain regions in three groups, mainly located in bilateral parahippocampal gyrus and bilateral hippocampus, bilateral insular and frontal lobes, and the static activity abnormalities in bilateral parahippocampal gyrus and bilateral hippocampal regions were observed at the same time, suggesting that bilateral parahippocampal gyrus and bilateral hippocampus may be the key brain regions for cognitive impairment caused by CSVD. (3) The correlation showed that d-ALFF in the bilateral insular was slightly correlated with the Mini-Mental State Examination (MMSE) score and disease progression rate. The d-ALFF value of the left postcentral gyrus was negatively correlated with the Clock Drawing Test (CDT) score (r = -0.416, p = 0.004), and the d-ALFF value of the right postcentral gyrus was negatively correlated with the Rey's Auditory Verbal Learning Test (RAVLT) word recognition (r = -0.320, p = 0.028). Conclusion There is a wide range of dynamic abnormalities of spontaneous brain activity in patients with CSVD, in which the abnormalities of this activity in specific brain regions are related to memory and execution or emotion.
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Affiliation(s)
- Jiarui Song
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- Department of Nuclear Medicine, Chongqing Liangjiang New District people’s Hospital, Chongqing, China
| | - Ting Lei
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yajun Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lijing Zhou
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Wei Yan
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Haiqing Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Li Chen
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
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Cheng H, Teng J, Jia L, Xu L, Yang F, Li H, Ling C, Liu W, Li J, Li Y, Guo Z, Geng X, Guo J, Zhang D. Association between morphologic features of intracranial distal arteries and brain atrophy indexes in cerebral small vessel disease: a voxel-based morphometry study. Front Neurol 2023; 14:1198402. [PMID: 37396753 PMCID: PMC10313400 DOI: 10.3389/fneur.2023.1198402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 05/24/2023] [Indexed: 07/04/2023] Open
Abstract
Background Brain atrophy represents a final common pathway for pathological processes in patients with cerebral small vessel disease (CSVD) and is now recognized as a strong independent predictor of clinical status and progression. The mechanism underlying brain atrophy in patients with CSVD is not yet fully comprehended. This study aims to investigate the association of morphologic features of intracranial distal arteries (A2, M2, P2 and more distal) with different brain structures [gray matter volume (GMV), white matter volume (WMV), and cerebrospinal fluid volume (CSFV)]. Furthermore, we also examined whether a correlation existed between these cerebrovascular characteristics and GMV in different brain regions. Method A total of 39 participants were eventually enrolled. The morphologic features of intracranial distal arteries based on TOF-MRA were extracted and quantified using the intracranial artery feature extraction technique (iCafe). The brain 3D-T1 images were segmented into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) using the "Segment" tool in CAT12 for the voxel-based morphometry (VBM) analysis. Univariable and multivariable linear regression models were used to investigate the relationship between these cerebrovascular features and different brain structures. Partial correlation analysis with a one-tailed method was used to evaluate the relationship between these cerebrovascular features and GMV in different brain regions. Results Our findings indicate that both distal artery length and density were positively correlated with GM fraction in CSVD patients, regardless of whether univariable or multivariable linear regression analyses were performed. In addition, distal artery length (β = -0.428, p = 0.007) and density (β = -0.337, p = 0.036) were also found to be negative associated with CSF fraction, although this relationship disappeared after adjusting for potential confounders. Additional adjustment for the effect of WMHs volume did not change these results. In subgroup anasysis, we found that participants in the highest distal artery length tertile had significantly higher GM fraction and lower CSF fraction level than participants in the lowest distal artery length tertile. In partial correlation analysis, we also found that these cerebrovascular characteristics associated with regional GMV, especially subcortical nuclear. Conclusion The morphologic features of intracranial distal arteries, including artery length, density and average tortuosity, measured from 3D-TOF MRA, are associated with generalized or focal atrophy indexes of CSVD.
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Affiliation(s)
- Hongjiang Cheng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Junfang Teng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Longbin Jia
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Lina Xu
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Fengbing Yang
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Huimin Li
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Chen Ling
- Graduate School, Changzhi Medical College, Changzhi, Shanxi, China
| | - Wei Liu
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Jinna Li
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Yujuan Li
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Zixuan Guo
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Xia Geng
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Jiaying Guo
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
| | - Dandan Zhang
- Department of Neurology, Jincheng People’s Hospital, Jincheng, Shanxi, China
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Chiam K, Lee L, Kuo PH, Gaudet VC, Black SE, Zukotynski KA. Brain PET and Cerebrovascular Disease. PET Clin 2023; 18:115-122. [PMID: 36718716 DOI: 10.1016/j.cpet.2022.09.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Cerebrovascular disease encompasses a broad spectrum of diseases such as stroke, hemorrhage, and cognitive decline associated with vascular narrowing, obstruction, rupture, and inflammation, among other issues. Recent advances in hardware and software have led to improvements in brain PET. Although still in its infancy, machine learning using convolutional neural networks is gaining traction in this area, often with a focus on providing high-quality images with reduced noise using a shorter acquisition time or less radiation exposure for the patient.
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Affiliation(s)
- Katarina Chiam
- Division of Engineering Science, University of Toronto, 40 St. George St., Toronto, ON M5S 2E4, Canada
| | - Louis Lee
- Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
| | - Phillip H Kuo
- Departments of Medical Imaging, Medicine, Biomedical Engineering, University of Arizona, 1501 N. Campbell, Tucson, AZ 85724, USA
| | - Vincent C Gaudet
- Department of Electrical and Computer Engineering, University of Waterloo, 200 University Avenue West, Waterloo, ON N2L 3G1, Canada
| | - Sandra E Black
- Departments of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada; Departments of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON M4N 3M5, Canada
| | - Katherine A Zukotynski
- Departments of Medicine and Radiology, McMaster University, 1200 Main Street West, Hamilton, ON L9G 4X5, Canada.
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The Seoul Neuropsychological Screening Battery (SNSB) for Comprehensive Neuropsychological Assessment. Dement Neurocogn Disord 2023; 22:1-15. [PMID: 36814700 PMCID: PMC9939572 DOI: 10.12779/dnd.2023.22.1.1] [Citation(s) in RCA: 39] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 02/17/2023] Open
Abstract
The Seoul Neuropsychological Screening Battery (SNSB) is known as a representative comprehensive neuropsychological evaluation tool in Korea since its first standardization in 2003. It was the main neuropsychological evaluation tool in the Clinical Research Center for Dementia of South Korea, a large-scale multi-center cohort study in Korea that was started in 2005. Since then, it has been widely used by dementia clinicians, and further solidified its status as a representative dementia evaluation tool in Korea. Many research results related to the SNSB have been used as a basis for the diagnosis and evaluation of patients in various clinical settings, especially, in many areas of cognitive assessment, including dementia evaluation. The SNSB version that was updated in 2012 provides psychometrically improved norms and indicators through a model-based standardization procedure based on a theoretical probability distribution in the norm's development. By providing a score for each cognitive domain, it is easier to compare cognitive abilities between domains and to identify changes in cognitive domain functions over time. Through the development of the SNSB-Core, a short form composed of core tests, which also give a composite score was provided. The SNSB is a useful test battery that provides key information on the evaluation of early cognitive decline, analysis of cognitive decline patterns, judging the severity of dementia, and differential diagnosis of dementia. This review will provide a broad understanding of the SNSB by describing the test composition, contents of individual subtests, characteristics of standardization, analysis of the changed standard score, and related studies.
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Chang HI, Hsu SW, Kao ZK, Lee CC, Huang SH, Lin CH, Liu MN, Chang CC. Impact of Amyloid Pathology in Mild Cognitive Impairment Subjects: The Longitudinal Cognition and Surface Morphometry Data. Int J Mol Sci 2022; 23:ijms232314635. [PMID: 36498962 PMCID: PMC9738566 DOI: 10.3390/ijms232314635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/13/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022] Open
Abstract
The amyloid framework forms the central medical theory related to Alzheimer disease (AD), and the in vivo demonstration of amyloid positivity is essential for diagnosing AD. On the basis of a longitudinal cohort design, the study investigated clinical progressive patterns by obtaining cognitive and structural measurements from a group of patients with amnestic mild cognitive impairment (MCI); the measurements were classified by the positivity (Aβ+) or absence (Aβ-) of the amyloid biomarker. We enrolled 185 patients (64 controls, 121 patients with MCI). The patients with MCI were classified into two groups on the basis of their [18F]flubetaben or [18F]florbetapir amyloid positron-emission tomography scan (Aβ+ vs. Aβ-, 67 vs. 54 patients) results. Data from annual cognitive measurements and three-dimensional T1 magnetic resonance imaging scans were used for between-group comparisons. To obtain longitudinal cognitive test scores, generalized estimating equations were applied. A linear mixed effects model was used to compare the time effect of cortical thickness degeneration. The cognitive decline trajectory of the Aβ+ group was obvious, whereas the Aβ- and control groups did not exhibit a noticeable decline over time. The group effects of cortical thickness indicated decreased entorhinal cortex in the Aβ+ group and supramarginal gyrus in the Aβ- group. The topology of neurodegeneration in the Aβ- group was emphasized in posterior cortical regions. A comparison of the changes in the Aβ+ and Aβ- groups over time revealed a higher rate of cortical thickness decline in the Aβ+ group than in the Aβ- group in the default mode network. The Aβ+ and Aβ- groups experienced different APOE ε4 effects. For cortical-cognitive correlations, the regions associated with cognitive decline in the Aβ+ group were mainly localized in the perisylvian and anterior cingulate regions. By contrast, the degenerative topography of Aβ- MCI was scattered. The memory learning curves, cognitive decline patterns, and cortical degeneration topographies of the two MCI groups were revealed to be different, suggesting a difference in pathophysiology. Longitudinal analysis may help to differentiate between these two MCI groups if biomarker access is unavailable in clinical settings.
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Affiliation(s)
- Hsin-I Chang
- Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
| | - Shih-Wei Hsu
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
| | - Zih-Kai Kao
- Institute of Biophotonics, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Chen-Chang Lee
- Department of Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
| | - Ching-Heng Lin
- Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
- Bachelor Program in Artificial Intelligence, Chang Gung University, Taoyuan 333, Taiwan
| | - Mu-N Liu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei 112, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Correspondence: (M.-N.L.); (C.-C.C.)
| | - Chiung-Chih Chang
- Department of Neurology, Cognition and Aging Center, Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 833, Taiwan
- Correspondence: (M.-N.L.); (C.-C.C.)
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Kim S, Park S, Chang I. Development of quantitative and continuous measure for severity degree of Alzheimer's disease evaluated from MRI images of 761 human brains. BMC Bioinformatics 2022; 23:357. [PMID: 36038842 PMCID: PMC9422149 DOI: 10.1186/s12859-022-04903-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 08/24/2022] [Indexed: 12/02/2022] Open
Abstract
Background Alzheimer’s disease affects profoundly the quality of human behavior and cognition. The very broad distribution of its severity across various human subjects requires the quantitative diagnose of Alzheimer’s disease beyond the conventional tripartite classification of cohorts such as cognitively normal (CN), mild cognitive impairment (MCI), Alzheimer’s disease (AD). The unfolding of such broad distributions by the quantitative and continuous degree of AD severity is necessary for the precise diagnose in the cross-sectional study of different stages in AD. Results We conducted the massive reanalysis on MRI images of 761 human brains based on the accumulated bigdata of Alzheimer’s Disease Neuroimaging Initiative. The score matrix of cortical thickness profile at cortex points of subjects was constructed by statistically learning the cortical thickness data of 761 human brains. We also developed a new and simple algebraic predictor which provides the quantitative and continuous degree of AD severity of subjects along the scale from 0 for fully CN to 1 for fully AD state. The mathematical measure of a new predictor for the degree of AD severity is presented based on a covariance correlation matrix of cortical thickness profile between human subjects. One can remove the uncertainty in the determination of different stages in AD by the quantitative degree of AD severity and thus go far beyond the tripartite classification of cohorts. Conclusions We unfold the nature of broad distribution of AD severity of subjects even within a given cohort by the scale from 0 for fully CN to 1 for fully AD state. The quantitative and continuous degree of AD severity developed in this study would be a good practical measure for diagnosing the different stages in AD severity. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04903-8.
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Affiliation(s)
- Sangyeol Kim
- Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea. .,Brain Sciences Research Institute, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea.
| | - Seongjun Park
- Department of Emerging Materials Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea
| | - Iksoo Chang
- Department of Brain Sciences, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea. .,Brain Sciences Research Institute, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea. .,Supercomputing Bigdata Center, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Korea.
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10
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Brain imaging abnormalities in mixed Alzheimer's and subcortical vascular dementia. Neurol Sci 2022:1-14. [PMID: 35614521 DOI: 10.1017/cjn.2022.65] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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11
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He M, Li Y, Zhou L, Li Y, Lei T, Yan W, Song J, Chen L. Relationships Between Memory Impairments and Hippocampal Structure in Patients With Subcortical Ischemic Vascular Disease. Front Aging Neurosci 2022; 14:823535. [PMID: 35517055 PMCID: PMC9062133 DOI: 10.3389/fnagi.2022.823535] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background and PurposePatients with subcortical ischemic vascular disease (SIVD) suffer from memory disorders that are thought to be associated with the hippocampus. We aimed to explore changes in hippocampal subfields and the relationship between different hippocampal subfield volumes and different types of memory dysfunction in SIVD patients.MethodsA total of 77 SIVD patients with cognitive impairment (SIVD-CI, n = 39) or normal cognition (HC-SIVD, n = 38) and 41 matched healthy controls (HCs) were included in this study. Memory function was measured in all subjects, and structural magnetic resonance imaging (MRI) was performed. Then, the hippocampus was segmented and measured by FreeSurfer 6.0 software. One-way ANOVA was used to compare the volume of hippocampal subfields among the three groups while controlling for age, sex, education and intracranial volume (ICV). Then, post hoc tests were used to evaluate differences between each pair of groups. Finally, correlations between significantly different hippocampal subfield volumes and memory scores were tested in SIVD patients.ResultsAlmost all hippocampal subfields were significantly different among the three groups except for the bilateral hippocampal fissure (p = 0.366, p = 0.086, respectively.) and left parasubiculum (p = 0.166). Furthermore, the SIVD-CI patients showed smaller volumes in the right subiculum (p < 0.001), CA1 (p = 0.002), presubiculum (p = 0.002) and molecular layer of the hippocampus (p = 0.017) than the HC-SIVD patients. In addition, right subiculum volumes were positively related to Rey’s Auditory Verbal Learning Test (RAVLT) word recognition (r = 0.230, p = 0.050), reverse digit span test (R-DST) (r = 0.326, p = 0.005) and Rey–Osterrieth Complex Figure Test (ROCF) immediate recall (r = 0.247, p = 0.035) scores, right CA1 volumes were positively correlated with RAVLT word recognition (r = 0.261, p = 0.026), and right presubiculum volumes showed positive relationships with R-DST (r = 0.254, p = 0.030) and ROCF immediate recall (r = 0.242, p = 0.039) scores.ConclusionSIVD might lead to general reductions in volume in multiple hippocampal subfields. However, SIVD-CI patients showed atrophy in specific subfields, which might be associated with memory deficits.
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Affiliation(s)
- Miao He
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- Department of Radiology, Gaoping District People’s Hospital, Nanchong, China
| | - Yang Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lijing Zhou
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yajun Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Ting Lei
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Wei Yan
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jiarui Song
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Li Chen
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- *Correspondence: Li Chen,
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12
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Guan S, Kong X, Duan S, Ren Q, Huang Z, Li Y, Wang W, Gong G, Meng X, Ma X. Neuroimaging Anomalies in Community-Dwelling Asymptomatic Adults With Very Early-Stage White Matter Hyperintensity. Front Aging Neurosci 2021; 13:715434. [PMID: 34483884 PMCID: PMC8415566 DOI: 10.3389/fnagi.2021.715434] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 07/26/2021] [Indexed: 11/26/2022] Open
Abstract
White matter hyperintensity (WMH) is common in healthy adults in their 60s and can be seen as early as in their 30s and 40s. Alterations in the brain structural and functional profiles in adults with WMH have been repeatedly studied but with a focus on late-stage WMH. To date, structural and functional MRI profiles during the very early stage of WMH remain largely unexplored. To address this, we investigated multimodal MRI (structural, diffusion, and resting-state functional MRI) profiles of community-dwelling asymptomatic adults with very early-stage WMH relative to age-, sex-, and education-matched non-WMH controls. The comparative results showed significant age-related and age-independent changes in structural MRI-based morphometric measures and resting-state fMRI-based measures in a set of specific gray matter (GM) regions but no global white matter changes. The observed structural and functional anomalies in specific GM regions in community-dwelling asymptomatic adults with very early-stage WMH provide novel data regarding very early-stage WMH and enhance understanding of the pathogenesis of WMH.
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Affiliation(s)
- Shuai Guan
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Xiangyu Kong
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Shifei Duan
- Department of Radiology, Qingdao Central Hospital, Qingdao University, Qingdao, China
| | - Qingguo Ren
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Zhaodi Huang
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Ye Li
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Wei Wang
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xiangshui Meng
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
| | - Xiangxing Ma
- Department of Radiology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China
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13
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Different patterns of functional and structural alterations of hippocampal sub-regions in subcortical vascular mild cognitive impairment with and without depression symptoms. Brain Imaging Behav 2021; 15:1211-1221. [PMID: 32700254 DOI: 10.1007/s11682-020-00321-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
In addition to cognitive impairments, depression symptoms were reported in subcortical vascular mild cognitive impairment. Although hippocampal alterations were associated with cognitive decline in subcortical vascular mild cognitive impairment, the neural mechanism underlying depression symptoms remains unclear. Thus, a cohort of 18 patients with depression symptoms, 17 patients without depression symptoms, and 23 normal controls was used. Functionally, significantly altered resting-state functional connectivity between hippocampal emotional sub-region and right posterior cingulate cortex, between hippocampal cognitive sub-region and right inferior parietal gyrus and between hippocampal perceptual sub-region and left inferior temporal gyrus were identified among three groups. Structurally, significantly altered structural associations between hippocampal emotional sub-region and 6 frontal regions/right pole part of superior temporal gyrus/right inferior occipital gyrus, between hippocampal cognitive sub-region and right orbital part of inferior frontal gyrus /right anterior cingulate cortex, and between hippocampal perceptual and right orbital part of inferior frontal gyrus / left inferior temporal gyrus / left thalamus were identified among the three groups. Further analyses also showed correlations between functional connectivity and depression symptoms and/or cognitive impairments of patients. Together, these results showed different patterns of functional and structural alterations of the hippocampal sub-regions in the subcortical vascular mild cognitive impairment with and without depression, which might be specially associated with the depression symptoms and cognitive impairments in these patients.
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14
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Wang P, Cai H, Luo R, Zhang Z, Zhang D, Zhang Y. Measurement of Cortical Atrophy and Its Correlation to Memory Impairment in Patients With Asymptomatic Carotid Artery Stenosis Based on VBM-DARTEL. Front Aging Neurosci 2021; 13:620763. [PMID: 34295237 PMCID: PMC8289738 DOI: 10.3389/fnagi.2021.620763] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/14/2021] [Indexed: 11/13/2022] Open
Abstract
Objective Severe carotid artery stenosis (CAS) can lead to atrophy of gray matter (GM) and memory impairment; however, the underlying mechanism is unknown. Thus, we aimed to identify memory impairment and GM atrophy and explore the possible correlation between them in patients with asymptomatic severe CAS. Methods Twenty-four patients with asymptomatic severe CAS and 10 healthy controls completed the mini-mental state examination (MMSE) and clinical memory scale (CMS) and underwent 7T magnetic resonance imaging (MRI) scan. Field intensity inhomogeneities were corrected. Images were processed using VBM8, and GM images were flipped. First, 11 flipped and 10 non-flipped images of patients with unilateral CAS and 5 flipped and 5 non-flipped images of controls were pre-processed using DARTEL algorithm and analyzed using an analysis of variance (ANOVA). Second, flipped and non-flipped images of unilateral patients were similarly pre-processed and analyzed using the paired t-test. Third, pre-processed non-flipped GM images and CMS scores of 24 patients were analyzed by multiple regression analysis. Nuisance variables were corrected accordingly. Results Basic information was well matched between patients and controls. MMSE scores of patients were in the normal range; however, memory function was significantly reduced (all P < 0.05). GM volumes of patients were significantly reduced in the anterior circulation regions. The stenosis-side hemispheres showed greater atrophy. GM volumes of the left pars opercularis, pars triangularis, and middle frontal gyrus were strongly positively correlated with the total scores of CMS (all r > 0.7, P = 0.001). Additionally, the left middle frontal gyrus was strongly positively correlated with associative memory (r = 0.853, P = 0.001). The left pars opercularis was moderately positively correlated with semantic memory (r = 0.695, P = 0.001). Conclusion Patients with asymptomatic CAS suffer from memory impairment. Bilateral anterior circulation regions showed extensive atrophy. The hemisphere with stenosis showed severer atrophy. Memory impairment in patients may be related to atrophy of the left frontal gyrus and atrophy of different regions may result in different memory impairments.
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Affiliation(s)
- Peijiong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Husule Cai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Rutao Luo
- Department of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Zihao Zhang
- State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, China.,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
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15
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Liu Y, Hu A, Chen L, Li B, Zhang M, Xi P, Yang Q, Tang R, Huang Q, He J, Lang Y, Zhang Y. Association between cortical thickness and distinct vascular cognitive impairment and dementia in patients with white matter lesions. Exp Physiol 2021; 106:1612-1620. [PMID: 33866642 DOI: 10.1113/ep089419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/08/2021] [Indexed: 12/29/2022]
Abstract
NEW FINDINGS What is the central question of this study? White matter lesions (WMLs) are a brain disease characterized by altered brain structural and functional connectivity, but findings have shown an inconsistent pattern: are there distinct cortical thickness changes in patients with WMLs subtypes? What is the main finding and its importance? Patients with WMLs with non-dementia vascular cognitive impairment and WMLs with vascular dementia showed distinct pathophysiology in cortical thickness. These neural correlates of WMLs should be considered in future treatment. ABSTRACT The effect of cortical thickness on white matter lesions (WMLs) in patients with distinct vascular cognitive impairments is relatively unknown. This study investigated the correlation between cortical thickness and vascular cognitive manifestations. WML patients and healthy controls from Beijing Tiantan Hospital between 2014 and 2018 were included. The patients were further divided into two subgroups, namely WMLs with non-dementia vascular cognitive impairment (WML-VCIND) and WMLs with vascular dementia (WML-VaD) according to the Clinical Dementia Rating (CDR) scale and the Beijing version of the Montreal Cognitive Assessment (MoCA). Changes in cortical thickness were calculated using FreeSurfer. Pearson's correlation analysis was performed to explore the relationship between cognitive manifestations and cortical thickness in WML patients. Forty-five WML patients and 23 healthy controls were recruited. The WML group exhibited significant difference in cortical thickness compared to the control group. Significantly decreased cortical thickness in the middle and superior frontal gyri, middle temporal gyrus, angular gyrus and insula was found in the WML-VaD versus WML-VCIND subgroup. Cortical thickness deficits of the left caudal middle frontal gyrus (r = 0.451, P = 0.002), left rostral middle frontal gyrus (r = 0.514, P < 0.001), left superior frontal gyrus (r = 0.410, P = 0.006), right middle temporal gyrus (r = 0.440, P = 0.003), right pars triangularis (r = 0.462, P = 0.002), right superior frontal gyrus (r = 0.434, P = 0.004) and right insula (r = 0.499, P = 0.001) were positively correlated with the MoCA score in WML patients. The specific pattern of cortical thickness deficits in the WML-VaD subgroup revealed the pathophysiology of WMLs, which should be considered in future treatment of WMLs.
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Affiliation(s)
- Yafei Liu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Anming Hu
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Luyao Chen
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Bo Li
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Minjian Zhang
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Pengcheng Xi
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Qinghu Yang
- College of Life Sciences & Research Center for Resource Peptide Drugs, Shaanxi Engineering & Technological Research Center for Conversation & Utilization of Regional Biological Resources, Yanan University, Yanan, China
| | - Rongyu Tang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Qiang Huang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Jiping He
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China.,Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Yiran Lang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology, Beijing, China
| | - Yumei Zhang
- Department of Rehabilitation Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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Frantellizzi V, Pani A, Ricci M, Locuratolo N, Fattapposta F, De Vincentis G. Neuroimaging in Vascular Cognitive Impairment and Dementia: A Systematic Review. J Alzheimers Dis 2021; 73:1279-1294. [PMID: 31929166 DOI: 10.3233/jad-191046] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Cerebrovascular diseases are well established causes of cognitive impairment. Different etiologic entities, such as vascular dementia (VaD), vascular cognitive impairment, subcortical (ischemic) VaD, and vascular cognitive disorder, are included in the umbrella definition of vascular cognitive impairment and dementia (VCID). Because of the variability of VCID clinical presentation, there is no agreement on criteria defining the neuropathological threshold of this disorder. In fact, VCID is characterized by cerebral hemodynamic alteration which ranges from decreased cerebral blood flow to small vessels disease and involves a multifactorial process that leads to demyelination and gliosis, including blood-brain barrier disruption, hypoxia, and hypoperfusion, oxidative stress, neuroinflammation and alteration on neurovascular unit coupling, cerebral microbleeds, or superficial siderosis. Numerous criteria for the definition of VaD have been described: the National Institute of Neurological Disorders and Stroke Association Internationale pour Recherche'-et-l'Enseignement en Neurosciences criteria, the State of California Alzheimer's Disease Diagnostic and Treatment Centers criteria, DSM-V criteria, the Diagnostic Criteria for Vascular Cognitive Disorders (a VASCOG Statement), and Vascular Impairment of Cognition Classification Consensus Study. Neuroimaging is fundamental for definition and diagnosis of VCID and should be used to assess the extent, location, and type of vascular lesions. MRI is the most sensible technique, especially if used according to standardized protocols, even if CT plays an important role in several conditions. Functional neuroimaging, in particular functional MRI and PET, may facilitate differential diagnosis among different forms of dementia. This systematic review aims to explore the state of the art and future perspective of non-invasive diagnostics of VCID.
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Affiliation(s)
| | - Arianna Pani
- Clinical Pharmacology and Toxicology, University of Milan "Statale", Italy
| | - Maria Ricci
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
| | | | | | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomical Pathology, Sapienza University of Rome, Rome, Italy
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Kang SH, Park YH, Kim JP, Kim JS, Kim CH, Jang H, Kim HJ, Koh SB, Na DL, Chin J, Seo SW. Cortical neuroanatomical changes related to specific neuropsychological deficits in subcortical vascular cognitive impairment. NEUROIMAGE-CLINICAL 2021; 30:102685. [PMID: 34215155 PMCID: PMC8102616 DOI: 10.1016/j.nicl.2021.102685] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 04/06/2021] [Accepted: 04/18/2021] [Indexed: 11/30/2022]
Abstract
Poor performances in neuropsychological tests were associated with cortical atrophy. Neural substrates in Aβ (−) SVCI differed from those in ADCI. Neural substrate of episodic memory was frontal regions in Aβ (−) SVCI. Neural substrates of three neuropsychological tests showed laterality.
Objective Neuropsychological test-specific neural substrates in subcortical vascular cognitive impairment (SVCI) are expected to differ from those in Alzheimer’s disease-related cognitive impairment (ADCI) but the details are unclear. To determine neural substrates related to cerebral small vessel disease, we investigated the correlations between cognitive dysfunctions measured by standardized neuropsychological tests and cortical thickness in a large sample of participants with amyloid negative (Aβ (−)) SVCI. Methods One hundred ninety-eight participants with Aβ (−) SVCI were recruited from the memory clinic between November 2007 to August 2018. To acquire neural substrates, we performed linear regression using the scores of each neuropsychological test as a predictor, cortical thickness as an outcome, and age, sex, education years, intracranial volume and white matter hyperintensity (WMH) as confounders. Results Poor performances in each neuropsychological test were associated with cortical atrophy in certain brain regions regardless of WMH. Especially, not the medial temporal but the frontal and posterior cingulate regions with cortical atrophy were mainly associated with memory impairment. Poor performance in animal fluency was more likely to be associated with cortical atrophy in the left hemisphere, while poor performance in the visuospatial memory test was more likely to be associated with cortical atrophy in the right hemisphere. Conclusions Our findings suggested that cortical atrophy was an important factor of cognitive impairment in Aβ (−) SVCI regardless of WMH. Furthermore, our findings might give clinicians a better understanding of specific neural substrates of neuropsychological deficits in patients with SVCI.
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Affiliation(s)
- Sung Hoon Kang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Yu Hyun Park
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea
| | - Jun Pyo Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Ji-Sun Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Chi Hun Kim
- Department of Neurology, Kyungpook National University Chilgok Hospital, Kyungpook National University School of Medicine, Daegu, South Korea; Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Hyemin Jang
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Hee Jin Kim
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Duk L Na
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea
| | - Juhee Chin
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea.
| | - Sang Won Seo
- Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea; Neuroscience Center, Samsung Medical Center, Seoul 06351, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea; Samsung Alzheimer Research Center and Center for Clinical Epidemiology Medical Center, Seoul, South Korea.
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Schellhorn T, Aamodt EB, Lydersen S, Aam S, Wyller TB, Saltvedt I, Beyer MK. Clinically accessible neuroimaging predictors of post-stroke neurocognitive disorder: a prospective observational study. BMC Neurol 2021; 21:89. [PMID: 33632149 PMCID: PMC7905565 DOI: 10.1186/s12883-021-02117-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/19/2021] [Indexed: 01/21/2023] Open
Abstract
Background Neurocognitive disorder (NCD) is common in stroke survivors. We aimed to identify clinically accessible imaging markers of stroke and chronic pathology that are associated with early post-stroke NCD. Methods We included 231 stroke survivors from the “Norwegian Cognitive Impairment after Stroke (Nor-COAST)” study who underwent a standardized cognitive assessment 3 months after the stroke. Any NCD (mild cognitive impairment and dementia) and major NCD (dementia) were diagnosed according to “Diagnostic and Statistical Manual of Mental Disorders (DSM-5)” criteria. Clinically accessible imaging findings were analyzed on study-specific brain MRIs in the early phase after stroke. Stroke lesion volumes were semi automatically quantified and strategic stroke locations were determined by an atlas based coregistration. White matter hyperintensities (WMH) and medial temporal lobe atrophy (MTA) were visually scored. Logistic regression was used to identify neuroimaging findings associated with major NCD and any NCD. Results Mean age was 71.8 years (SD 11.1), 101 (43.7%) were females, mean time from stroke to imaging was 8 (SD 16) days. At 3 months 63 (27.3%) had mild NCD and 65 (28.1%) had major NCD. Any NCD was significantly associated with WMH pathology (odds ratio (OR) = 2.73 [1.56 to 4.77], p = 0.001), MTA pathology (OR = 1.95 [1.12 to 3.41], p = 0.019), and left hemispheric stroke (OR = 1.8 [1.05 to 3.09], p = 0.032). Major NCD was significantly associated with WMH pathology (OR = 2.54 [1.33 to 4.84], p = 0.005) and stroke lesion volume (OR (per ml) =1.04 [1.01 to 1.06], p = 0.001). Conclusion WMH pathology, MTA pathology and left hemispheric stroke were associated with the development of any NCD. Stroke lesion volume and WMH pathology were associated with the development of major NCD 3 months after stroke. These imaging findings may be used in the routine clinical setting to identify patients at risk for early post-stroke NCD. Trial registration ClinicalTrials.gov, NCT02650531, Registered 8 January 2016 – Retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02117-8.
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Affiliation(s)
- Till Schellhorn
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. .,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Eva Birgitte Aamodt
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Department of Mental Health, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Stina Aam
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Geriatric Medicine, Clinic of Medicine St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Torgeir Bruun Wyller
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Ingvild Saltvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Department of Geriatric Medicine, Clinic of Medicine St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Mona Kristiansen Beyer
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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19
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Ozzoude M, Ramirez J, Raamana PR, Holmes MF, Walker K, Scott CJM, Gao F, Goubran M, Kwan D, Tartaglia MC, Beaton D, Saposnik G, Hassan A, Lawrence-Dewar J, Dowlatshahi D, Strother SC, Symons S, Bartha R, Swartz RH, Black SE. Cortical Thickness Estimation in Individuals With Cerebral Small Vessel Disease, Focal Atrophy, and Chronic Stroke Lesions. Front Neurosci 2020; 14:598868. [PMID: 33381009 PMCID: PMC7768006 DOI: 10.3389/fnins.2020.598868] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 11/24/2020] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Regional changes to cortical thickness in individuals with neurodegenerative and cerebrovascular diseases (CVD) can be estimated using specialized neuroimaging software. However, the presence of cerebral small vessel disease, focal atrophy, and cortico-subcortical stroke lesions, pose significant challenges that increase the likelihood of misclassification errors and segmentation failures. PURPOSE The main goal of this study was to examine a correction procedure developed for enhancing FreeSurfer's (FS's) cortical thickness estimation tool, particularly when applied to the most challenging MRI obtained from participants with chronic stroke and CVD, with varying degrees of neurovascular lesions and brain atrophy. METHODS In 155 CVD participants enrolled in the Ontario Neurodegenerative Disease Research Initiative (ONDRI), FS outputs were compared between a fully automated, unmodified procedure and a corrected procedure that accounted for potential sources of error due to atrophy and neurovascular lesions. Quality control (QC) measures were obtained from both procedures. Association between cortical thickness and global cognitive status as assessed by the Montreal Cognitive Assessment (MoCA) score was also investigated from both procedures. RESULTS Corrected procedures increased "Acceptable" QC ratings from 18 to 76% for the cortical ribbon and from 38 to 92% for tissue segmentation. Corrected procedures reduced "Fail" ratings from 11 to 0% for the cortical ribbon and 62 to 8% for tissue segmentation. FS-based segmentation of T1-weighted white matter hypointensities were significantly greater in the corrected procedure (5.8 mL vs. 15.9 mL, p < 0.001). The unmodified procedure yielded no significant associations with global cognitive status, whereas the corrected procedure yielded positive associations between MoCA total score and clusters of cortical thickness in the left superior parietal (p = 0.018) and left insula (p = 0.04) regions. Further analyses with the corrected cortical thickness results and MoCA subscores showed a positive association between left superior parietal cortical thickness and Attention (p < 0.001). CONCLUSION These findings suggest that correction procedures which account for brain atrophy and neurovascular lesions can significantly improve FS's segmentation results and reduce failure rates, thus maximizing power by preventing the loss of our important study participants. Future work will examine relationships between cortical thickness, cerebral small vessel disease, and cognitive dysfunction due to neurodegenerative disease in the ONDRI study.
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Affiliation(s)
- Miracle Ozzoude
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | | | - Melissa F. Holmes
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Kirstin Walker
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Christopher J. M. Scott
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Fuqiang Gao
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queens University, Kingston, ON, Canada
| | - Maria C. Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
- Division of Neurology, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Derek Beaton
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Gustavo Saposnik
- Stroke Outcomes and Decision Neuroscience Research Unit, Division of Neurology, St. Michael’s Hospital, University of Toronto, Toronto, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
| | | | - Dariush Dowlatshahi
- Department of Medicine (Neurology), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Stephen C. Strother
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sean Symons
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Robert Bartha
- Centre for Functional and Metabolic Mapping, Department of Medical Biophysics, Robarts Research Institute, University of Western Ontario, London, ON, Canada
| | - Richard H. Swartz
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Sandra E. Black
- LC Campbell Cognitive Neurology Research, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
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20
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Wang Y, Yang Y, Wang T, Nie S, Yin H, Liu J. Correlation between White Matter Hyperintensities Related Gray Matter Volume and Cognition in Cerebral Small Vessel Disease. J Stroke Cerebrovasc Dis 2020; 29:105275. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.105275] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 08/22/2020] [Indexed: 12/14/2022] Open
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21
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Wang J, Lyu H, Chen J, Lin S, Zheng H, Li J, Kong F, Gao J, Yu H, Hu Y, Guo Z. Cortical Alterations Are Associated with Depression in Subcortical Vascular Mild Cognitive Impairment Revealed by Surface-Based Morphometry. J Alzheimers Dis 2020; 78:673-681. [PMID: 33016903 DOI: 10.3233/jad-200156] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Late-life depression often coexists with vascular cognitive impairment and affects the quality of life for elders. However, little is known about cortical morphometric interactions between subcortical vascular mild cognitive impairment (svMCI) and concomitant mild depressive symptoms at the early stage. OBJECTIVE We aimed to investigate cortical alterations of svMCI with and without depressive symptoms and determine whether these parameters are associated with depression symptoms and/or cognitive impairments. METHODS Surface based morphometry was performed on 18 svMCI patients with depressive symptoms (svMCI + D), 16 svMCI patients without depressive symptoms (svMCI-D), and 23 normal controls (NC). RESULTS Compared to NC, both svMCI + D and svMCI-D patients exhibited significantly decreased surface area (SA) in many cortical areas. Interestingly, svMCI + D patients showed significantly increased rather than decreased SA in right lateral occipital gyrus (LOG.R), and a consistent trend of increased SA in these areas compared to svMCI-D. In addition, the svMCI + D showed increased gray matter volume of left pericalcarine (periCAL.L) than svMCI-D, whereas svMCI-D showed decreased gray matter volume of periCAL.L than NC. Further correlation analyses revealed that the SA of left superior temporal gyrus (STG.L) and right lateral orbital part of frontal gyrus (lorbFG.R) were significantly correlated with Hamilton depression rating scale of svMCI + D. CONCLUSION In conclusion, these results extend our insight into svMCI and add weight to reevaluation of concomitant early stage depressive symptoms. Moreover, we suggest that LOG.R∖periCAL.L∖STG.L∖lorbFG.R might serve as sensitive and trait-dependent biomarkers to detect concomitant depressive symptoms in svMCI patients.
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Affiliation(s)
- Jianjun Wang
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China.,Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Hanqing Lyu
- Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China.,Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China
| | - Jianxiang Chen
- Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China.,Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China
| | - Songjun Lin
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China.,Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Haotao Zheng
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China.,Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Jinfang Li
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China.,Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Fanxin Kong
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China.,Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
| | - Jinyun Gao
- Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China.,Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China
| | - Haibo Yu
- Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China.,Department of Acupuncture and Moxibustion, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China
| | - Yuanming Hu
- Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China.,Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China
| | - Zhouke Guo
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, P. R. China.,Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, P. R. China
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22
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The Effects of Longitudinal White Matter Hyperintensity Change on Cognitive Decline and Cortical Thinning over Three Years. J Clin Med 2020; 9:jcm9082663. [PMID: 32824599 PMCID: PMC7465642 DOI: 10.3390/jcm9082663] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 08/14/2020] [Accepted: 08/15/2020] [Indexed: 01/18/2023] Open
Abstract
White matter hyperintensity (WMH) has been recognised as a surrogate marker of small vessel disease and is associated with cognitive impairment. We investigated the dynamic change in WMH in patients with severe WMH at baseline, and the effects of longitudinal change of WMH volume on cognitive decline and cortical thinning. Eighty-seven patients with subcortical vascular mild cognitive impairment were prospectively recruited from a single referral centre. All of the patients were followed up with annual neuropsychological tests and 3T brain magnetic resonance imaging. The WMH volume was quantified using an automated method and the cortical thickness was measured using surface-based methods. Participants were classified into WMH progression and WMH regression groups based on the delta WMH volume between the baseline and the last follow-up. To investigate the effects of longitudinal change in WMH volume on cognitive decline and cortical thinning, a linear mixed effects model was used. Seventy patients showed WMH progression and 17 showed WMH regression over a three-year period. The WMH progression group showed more rapid cortical thinning in widespread regions compared with the WMH regression group. However, the rate of cognitive decline in language, visuospatial function, memory and executive function, and general cognitive function was not different between the two groups. The results of this study indicated that WMH volume changes are dynamic and WMH progression is associated with more rapid cortical thinning.
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23
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Wasserman V, Emrani S, Matusz EF, Peven J, Cleary S, Price CC, Ginsberg TB, Swenson R, Heilman KM, Lamar M, Libon DJ. Visuospatial performance in patients with statistically-defined mild cognitive impairment. J Clin Exp Neuropsychol 2020; 42:319-328. [PMID: 31973657 PMCID: PMC7224008 DOI: 10.1080/13803395.2020.1714550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 12/26/2019] [Indexed: 02/08/2023]
Abstract
Introduction: The Oblique Effect denotes superior performance for perceiving horizontal or vertical rather than diagonal or oblique stimuli. The current research investigated responding to oblique test stimuli in patients with mild cognitive impairment (MCI).Method: Four statistically-determined groups (n = 112) were studied; patients with little to no cognitive impairment (non-MCI, n = 39); subtle cognitive impairment (SCI, n = 15); amnestic MCI (aMCI, n = 28); and a combined mixed/dysexecutive MCI (mixed/dys MCI, n = 30). The ability to respond to oblique versus non-oblique test stimuli was assessed using the Judgment of Line Orientation Test (JOLO). Comprehensive neuropsychological assessment was also obtained. Between-group differences for JOLO oblique and non-oblique test stimuli were analyzed. Hierarchical linear regression models were constructed to identify relations between accuracy for oblique and non-oblique test items and neurocognitive domains.Results: The mixed/dys MCI group demonstrated lower accuracy for oblique test items compared to non-MCI patients. Accurate responding to oblique test items was associated with better performance on tests measuring executive control, processing speed, naming/lexical retrieval, and verbal concept formation. No between-group differences were seen for non-oblique items and these items were not associated with cognition.Conclusions:Significant impairment on oblique test items distinguished patients with multi-domain/dysexecutive MCI from non-MCI patients. Accurate responding to oblique test items was associated with a complex array of neuropsychological tests suggesting that multidimensional neuropsychological skills underlie the visuospatial reasoning abilities necessary for successful oblique line identification. Research associating responding to oblique versus non-oblique test stimuli using additional neuropsychological test paradigms, and MRI-defined neuroanatomical regions of interest may provide additional information about the brain-behavior relations that underlie MCI subtypes.
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Affiliation(s)
| | - Sheina Emrani
- Department of Psychology, Rowan University, Stratford, NF
| | - Emily F. Matusz
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| | - Jamie Peven
- Department of Psychology and Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA
| | - Seana Cleary
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| | - Catherine C. Price
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL
| | - Terrie Beth Ginsberg
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
| | - Rod Swenson
- University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND
| | - Kenneth M. Heilman
- Department of Neurology, University of Florida College of Medicine, Neurologist-Geriatric Research, Education and Clinical Center, Malcom Randall Veterans Affairs Medical Center, Gainesville, FL
| | - Melissa Lamar
- Department of Behavioral Sciences and the Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | - David J. Libon
- Department of Psychology, Rowan University, Stratford, NF
- New Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ
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24
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Alhazmi FH, Abdulaal OM, Qurashi AA, Aloufi KM, Sluming V. The effect of the MR pulse sequence on the regional corpus callosum morphometry. Insights Imaging 2020; 11:17. [PMID: 32034550 PMCID: PMC7007480 DOI: 10.1186/s13244-019-0821-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 11/29/2019] [Indexed: 11/10/2022] Open
Abstract
Background and purposes Brain morphometry is an important assessment technique to assess certain morphological brain features of various brain regions, which can be quantified in vivo by using high-resolution structural magnetic resonance (MR) imaging. This study aims to investigate the effect of different types of pulse sequence on regional corpus callosum (CC) morphometry analysis. Materials and methods Twenty-one healthy volunteers were scanned twice on the same 3T MRI scanner (Magnetom Trio, Siemens, Erlangen, Germany) equipped with an 8-channel head coil. Two different MR pulse sequences were applied to acquire high-resolution 3D T1-weighted images: magnetization-prepared rapid gradient-echo (MP-RAGE) and modified driven equilibrium Fourier transform (MDEFT) pulse sequence. Image quality measurements such as SNR, contrast-to-noise ratio, and relative contrast were calculated for each pulse sequence images independently. The values of corpus callosum volume were calculated based on the vertex of reconstructed surfaces. The paired dependent t test was applied to compare the means of two matched groups. Results Three sub-regional CC, namely anterior, mid-anterior, and posterior, resulted in an estimated volume difference between MDEFT and MP-RAGE pulse sequences. Central and mid-posterior sub-regional CC volume resulted in not significant difference between the two named pulse sequences. Conclusion The findings of this study demonstrate that combining data from different pulse sequences in a multisite study could make some variations in the results.
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Affiliation(s)
- Fahad H Alhazmi
- Department of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia. .,Institute of Translational Medicine, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
| | - Osama M Abdulaal
- Department of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
| | - Abdulaziz A Qurashi
- Department of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
| | - Khalid M Aloufi
- Department of Diagnostic Radiology Technology, Faculty of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia
| | - Vanessa Sluming
- Institute of Translational Medicine, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
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25
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Jokinen H, Koikkalainen J, Laakso HM, Melkas S, Nieminen T, Brander A, Korvenoja A, Rueckert D, Barkhof F, Scheltens P, Schmidt R, Fazekas F, Madureira S, Verdelho A, Wallin A, Wahlund LO, Waldemar G, Chabriat H, Hennerici M, O'Brien J, Inzitari D, Lötjönen J, Pantoni L, Erkinjuntti T. Global Burden of Small Vessel Disease-Related Brain Changes on MRI Predicts Cognitive and Functional Decline. Stroke 2019; 51:170-178. [PMID: 31699021 PMCID: PMC6924941 DOI: 10.1161/strokeaha.119.026170] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Supplemental Digital Content is available in the text. Cerebral small vessel disease is characterized by a wide range of focal and global brain changes. We used a magnetic resonance imaging segmentation tool to quantify multiple types of small vessel disease–related brain changes and examined their individual and combined predictive value on cognitive and functional abilities.
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Affiliation(s)
- Hanna Jokinen
- From the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland.,Department of Psychology and Logopedics, Faculty of Medicine (H.J., H.M.L.), Finland
| | - Juha Koikkalainen
- Combinostics, Ltd, Finland (J.K., T.N., J.L.).,VTT Technical Research Centre of Finland (J.K., J.L.).,Faculty of Health Sciences, University of Eastern Finland (J.K.)
| | - Hanna M Laakso
- From the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland.,Department of Psychology and Logopedics, Faculty of Medicine (H.J., H.M.L.), Finland
| | - Susanna Melkas
- From the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland
| | | | - Antti Brander
- Department of Radiology, Medical Imaging Center, Tampere University Hospital, Finland (A.B.)
| | - Antti Korvenoja
- Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital (A.K.), Finland
| | - Daniel Rueckert
- Biomedical Image Analysis Group, Department of Computing, Imperial College London, United Kingdom (D.R.)
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine (F.B.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, United Kingdom (F.B.)
| | - Philip Scheltens
- Alzheimer Center and Department of Neurology (P.S.), Neuroscience Campus Amsterdam, VU University Medical Center, the Netherlands.,NIHR Biomedical Research Centre at University College London Hospitals NHS Foundation Trust, University College London, United Kingdom (F.B.)
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Austria (R.S., F.F.)
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Austria (R.S., F.F.)
| | - Sofia Madureira
- Department of Neurosciences, Santa Maria Hospital, University of Lisbon, Portugal (S. Madureira, A.V.)
| | - Ana Verdelho
- Department of Neurosciences, Santa Maria Hospital, University of Lisbon, Portugal (S. Madureira, A.V.)
| | - Anders Wallin
- Sahlgrenska Academy, Institute of Neuroscience and Physiology, Section for Psychiatry and Neurochemistry, University of Gothenburg, Sweden (A.W.)
| | - Lars-Olof Wahlund
- Department of Neurobiology, Care Sciences and Society, Division of Clinical Geriatrics, Karolinska Institutet, Sweden (L.-O.W.)
| | - Gunhild Waldemar
- Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Denmark (G.W.)
| | - Hugues Chabriat
- Department of Neurology, Hopital Lariboisiere, APHP and INSERM U1161-University Denis Diderot (DHU NeuroVasc), France (H.C.)
| | | | - John O'Brien
- Department of Psychiatry, University of Cambridge, United Kingdom (J.O.)
| | - Domenico Inzitari
- Institute of Neuroscience, Italian National Research Council (D.I.).,Department NEUROFARBA, University of Florence, Italy (D.I.)
| | - Jyrki Lötjönen
- Combinostics, Ltd, Finland (J.K., T.N., J.L.).,VTT Technical Research Centre of Finland (J.K., J.L.).,Department of Neuroscience and Biomedical Engineering, School of Science, Aalto University, Finland (J.L.)
| | - Leonardo Pantoni
- L. Sacco Department of Biomedical and Clinical Sciences, University of Milan, Italy (L.P.)
| | - Timo Erkinjuntti
- From the Clinical Neurosciences, Neurology, University of Helsinki and Helsinki University Hospital (H.J., H.M.L., S. Melkas, T.E.), Finland
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26
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Lyu H, Wang J, Xu J, Zheng H, Yang X, Lin S, Chen J, Zhou L, Hu Y, Guo Z. Structural and Functional Disruptions in Subcortical Vascular Mild Cognitive Impairment With and Without Depressive Symptoms. Front Aging Neurosci 2019; 11:241. [PMID: 31572164 PMCID: PMC6753164 DOI: 10.3389/fnagi.2019.00241] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 08/19/2019] [Indexed: 01/23/2023] Open
Abstract
Many previous studies have revealed structural and functional abnormalities in patients with the subcortical vascular mild cognitive impairment (svMCI). Although depression symptoms were suggested to serve as a potential marker of conversion to dementia in patients with svMCI, whether these disruptions or other new findings will be identified in the svMCI comorbid with depression symptoms has not been established. In the current study, we combined voxel-based morphometry (VBM) and the resting-state functional magnetic resonance imaging (fMRI) to investigate the structural and functional disruptions in the svMCI with and without depression symptoms using a cohort of 18 svMCI with depression symptoms (svMCI+D), 17 svMCI without depression symptoms (svMCI−D), and 23 normal controls (NC). As a result, we identified significantly decreased gray matter density in the left parahippocampus (ParaHIPP.L), the right hippocampus (HIPP.R), and the right middle cingulate cortex (MCC.R) in both svMCI+D and svMCI−D compared to NC. Most importantly, we also identified increased gray matter density in the MCC.R accompanied by increased resting-state functional connectivity (RSFC) with right parahippocampus (ParaHIPP.R) in the svMCI+D compared to svMCI−D. Moreover, the gray matter density of MCC.R and ParaHIPP.L was correlated with cognitive impairments and depression symptoms in the svMCI, respectively. In conclusion, these results extended previous studies and added weight to considerations of depression symptoms in the svMCI. Moreover, we suggested that a processing loop associated with HIPP, ParaHIPP, and MCC might underlie the mechanism of depression symptoms in the svMCI.
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Affiliation(s)
- Hanqing Lyu
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Jianjun Wang
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Haotao Zheng
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Xiaoyan Yang
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Songjun Lin
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Jianxiang Chen
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Liuchang Zhou
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Yuanming Hu
- Department of Radiology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Zhouke Guo
- Department of Neurology and Psychology, Shenzhen Traditional Chinese Medicine Hospital/The Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, China
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27
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Caruso P, Signori R, Moretti R. Small vessel disease to subcortical dementia: a dynamic model, which interfaces aging, cholinergic dysregulation and the neurovascular unit. Vasc Health Risk Manag 2019; 15:259-281. [PMID: 31496716 PMCID: PMC6689673 DOI: 10.2147/vhrm.s190470] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 01/14/2019] [Indexed: 12/14/2022] Open
Abstract
Background Small vessels have the pivotal role for the brain’s autoregulation. The arteriosclerosis-dependent alteration of the brain perfusion is one of the major determinants in small vessel disease. Endothelium distress can potentiate the flow dysregulation and lead to subcortical vascular dementia (sVAD). sVAD increases morbidity and disability. Epidemiological studies have shown that sVAD shares with cerebrovascular disease most of the common risk factors. The molecular basis of this pathology remains controversial. Purpose To detect the possible mechanisms between small vessel disease and sVAD, giving a broad vision on the topic, including pathological aspects, clinical and laboratory findings, metabolic process and cholinergic dysfunction. Methods We searched MEDLINE using different search terms (“vascular dementia”, “subcortical vascular dementia”, “small vessel disease”, “cholinergic afferents”, etc). Publications were selected from the past 20 years. Searches were extended to Embase, Cochrane Library, and LILIACS databases. All searches were done from January 1, 1998 up to January 31, 2018. Results A total of 560 studies showed up, and appropriate studies were included. Associations between traditional vascular risk factors have been isolated. We remarked that SVD and white matter abnormalities are seen frequently with aging and also that vascular and endothelium changes are related with age; the changes can be accelerated by different vascular risk factors. Vascular function changes can be heavily influenced by genetic and epigenetic factors. Conclusion Small vessel disease and the related dementia are two pathologies that deserve attention for their relevance and impact in clinical practice. Hypertension might be a historical problem for SVD and SVAD, but low pressure might be even more dangerous; CBF regional selective decrease seems to be a critical factor for small vessel disease-related dementia. In those patients, endothelium damage is a super-imposed condition. Several issues are still debatable, and more research is needed.
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Affiliation(s)
- Paola Caruso
- Department of Medical, Surgical and Health Sciences, Neurology Clinic, University of Trieste, Trieste, Italy
| | - Riccardo Signori
- Department of Medical, Surgical and Health Sciences, Neurology Clinic, University of Trieste, Trieste, Italy
| | - Rita Moretti
- Department of Medical, Surgical and Health Sciences, Neurology Clinic, University of Trieste, Trieste, Italy
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28
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Nickel A, Kessner S, Niebuhr A, Schröder J, Malherbe C, Fischer F, Heinze M, Cheng B, Fiehler J, Pinnschmidt H, Larena-Avellaneda A, Gerloff C, Thomalla G. Cortical thickness and cognitive performance in asymptomatic unilateral carotid artery stenosis. BMC Cardiovasc Disord 2019; 19:154. [PMID: 31238977 PMCID: PMC6593546 DOI: 10.1186/s12872-019-1127-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 06/07/2019] [Indexed: 11/22/2022] Open
Abstract
Background We investigated changes of cortical thickness and its association with cognitive performance in patients with high-grade carotid artery stenosis without ischemic brain lesions. Methods We studied 25 patients with unilateral carotid artery stenosis ≥50% and 25 age-matched controls. All subjects underwent T1-weighted MRI, and cortical thickness was measured in 33 regions of interest in each hemisphere, as well as in brain regions belonging to the vascular territory of the middle cerebral artery (MCA). General linear mixed models were fitted to the dependent variable cortical thickness. Cognitive assessment comprised the Stroop Test and Trail Making Test B. Results In the linear mixed model, presence of carotid stenosis had no effect on cortical thickness. There was a significant interaction of stenosis and region with a trend towards lower cortical thickness in the MCA region on the side of carotid stenosis. Patients with carotid stenosis performed significantly worse on the Stroop test than controls, but there was no correlation with cortical thickness. Conclusion In patients with carotid stenosis without ischemic brain lesions, neither a clear pattern of reduced cortical thickness nor an association of cortical thickness with cognitive function was observed. Our data do not support the hypothesized association of cortical thinning and cognitive impairment in carotid stenosis. Electronic supplementary material The online version of this article (10.1186/s12872-019-1127-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alina Nickel
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. .,Klinik und Poliklinik für Neurologie Kopf- und Neurozentrum, Universitätsklinikum Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
| | - Simon Kessner
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas Niebuhr
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julian Schröder
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline Malherbe
- Center for Experimental Medicine, Institute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Felix Fischer
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Marlene Heinze
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Bastian Cheng
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Neuroradiological diagnostics and intervention, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans Pinnschmidt
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Axel Larena-Avellaneda
- Department of Vascular Medicine, University Heart Center Hamburg GmbH (UHZ), Hamburg, Germany
| | - Christian Gerloff
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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29
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Hanko V, Apple AC, Alpert KI, Warren KN, Schneider JA, Arfanakis K, Bennett DA, Wang L. In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies. Neurobiol Aging 2019; 74:171-181. [PMID: 30453234 PMCID: PMC6331233 DOI: 10.1016/j.neurobiolaging.2018.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/14/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022]
Abstract
Despite advances in the development of biomarkers for Alzheimer's disease (AD), accurate ante-mortem diagnosis remains challenging because a variety of neuropathologic disease states can coexist and contribute to the AD dementia syndrome. Here, we report a neuroimaging study correlating hippocampal deformity with regional AD and transactive response DNA-binding protein of 43 kDA pathology burden. We used hippocampal shape analysis of ante-mortem T1-weighted structural magnetic resonance imaging images of 42 participants from two longitudinal cohort studies conducted by the Rush Alzheimer's Disease Center. Surfaces were generated for the whole hippocampus and zones approximating the underlying subfields using a previously developed automated image-segmentation pipeline. Multiple linear regression models were constructed to correlate the shape with pathology measures while accounting for covariates, with relationships mapped out onto hippocampal surface locations. A significant relationship existed between higher paired helical filaments-tau burden and inward hippocampal shape deformity in zones approximating CA1 and subiculum which persisted after accounting for coexisting pathologies. No significant patterns of inward surface deformity were associated with amyloid-beta or transactive response DNA-binding protein of 43 kDA after including covariates. Our findings indicate that hippocampal shape deformity measures in surface zones approximating CA1 may represent a biomarker for postmortem AD pathology.
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Affiliation(s)
- Veronika Hanko
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexandra C Apple
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kristen N Warren
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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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] [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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Jung NY, Cho H, Kim YJ, Kim HJ, Lee JM, Park S, Kim ST, Kim EJ, Kim JS, Moon SH, Lee JH, Ewers M, Na DL, Seo SW. The impact of education on cortical thickness in amyloid-negative subcortical vascular dementia: cognitive reserve hypothesis. ALZHEIMERS RESEARCH & THERAPY 2018; 10:103. [PMID: 30261914 PMCID: PMC6161352 DOI: 10.1186/s13195-018-0432-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 09/17/2018] [Indexed: 01/22/2023]
Abstract
Background The protective effect of education has been well established in Alzheimer’s disease, whereas its role in patients with isolated cerebrovascular diseases remains unclear. We examined the correlation of education with cortical thickness and cerebral small vessel disease markers in patients with pure subcortical vascular mild cognitive impairment (svMCI) and patients with pure subcortical vascular dementia (SVaD). Methods We analyzed 45 patients with svMCI and 47 patients with SVaD with negative results on Pittsburgh compound B positron emission tomographic imaging who underwent structural brain magnetic resonance imaging. The main outcome was cortical thickness measured using surface-based morphometric analysis. We also assessed the volumes of white matter hyperintensities (WMH) and numbers of lacunes as other outcomes. To investigate the correlation of education with cortical thickness, WMH volume, and number of lacunes, multiple linear regression analyses were performed after controlling for covariates, including Mini Mental State Examination, in the svMCI and SVaD groups. Results In the SVaD group, higher education was correlated with more severe cortical thinning in the bilateral dorsolateral frontal, left medial frontal, and parahippocampal areas, whereas there was no correlation of education with cortical thickness in the svMCI group. There was no correlation between education and cerebral small vessel disease, including WMH and lacunes, in both patients with svMCI and patients with SVaD. Conclusions Our findings suggest that the compensatory effects of education on cortical thinning apply to patients with SVaD, which might be explained by the cognitive reserve hypothesis.
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Affiliation(s)
- Na-Yeon Jung
- Pusan National University Yangsan Hospital, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Yangsan, Korea.,Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Yeo Jin Kim
- Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, 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, Korea
| | - Jong Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Sung Tae Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eun-Joo Kim
- Department of Neurology, Pusan National University Hospital, Busan, Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Seung Hwan Moon
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae-Hong Lee
- Department of Neurology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.,Neuroscience Center, Samsung Medical Center, Seoul, 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, Korea.
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32
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Tomadesso C, de La Sayette V, de Flores R, Bourgeat P, Villemagne VL, Egret S, Eustache F, Chételat G. Neuropsychology and neuroimaging profiles of amyloid-positive versus amyloid-negative amnestic mild cognitive impairment patients. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2018; 10:269-277. [PMID: 29780872 PMCID: PMC5956939 DOI: 10.1016/j.dadm.2018.02.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Introduction Patients with amnestic mild cognitive impairment (aMCI) are heterogeneous as regard to their amyloid status. The present study aimed at highlighting the neuropsychological, brain atrophy, and hypometabolism profiles of amyloid-positive (Aβpos) versus amyloid-negative (Aβneg) aMCI patients. Methods Forty-four aMCI patients and 24 Aβneg healthy controls underwent neuropsychological, structural magnetic resonance imaging and 18F-fluorodeoxyglucose positron emission tomography scans. Data were compared between groups in specific regions of interest and voxelwise with statistical parametric mapping. Results When directly comparing Aβpos to Aβneg aMCI, the former had lower performances in episodic memory tests (P = .02 to P < .001) while the latter had worse scores in working memory (P = .01) and language (P < .005). Compared to Aβneg healthy controls, both aMCI subgroups showed similar profiles of atrophy and hypometabolism, with no difference between both aMCI subgroups. Conclusion In a sample of aMCI patients recruited and scanned in the same center, the main difference at baseline between Aβpos and Aβneg aMCI concerned the neuropsychological profile, but not the structural magnetic resonance imaging or 18F-fluorodeoxyglucose positron emission tomography profiles of brain alterations. Amyloid-positive (Aβpos) amnestic mild cognitive impairment (aMCI) had lower performances than amyloid-negative (Aβneg) aMCI in episodic memory. Aβneg aMCI had lower performances than Aβpos aMCI in working memory and language. Aβneg and Aβpos aMCI did not differ in terms of brain atrophy or metabolism. Cognition is more efficient than neuroimaging to discriminate Aβneg from Aβpos aMCI.
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Affiliation(s)
- Clémence Tomadesso
- Inserm, Inserm U1077, Université de Caen Normandie, Ecole Pratique des Hautes Etudes, Caen, France.,Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Boulevard H. Becquerel, Caen, France
| | - Vincent de La Sayette
- Inserm, Inserm U1077, Université de Caen Normandie, Ecole Pratique des Hautes Etudes, Caen, France.,CHU de Caen, Service de Neurologie, Caen, France
| | - Robin de Flores
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Boulevard H. Becquerel, Caen, France
| | - Pierrick Bourgeat
- CSIRO Digital Productivity Flagship, The Australian e-Health Research Centre-BioMedIA, Herston, Queensland, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging and Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia.,The Florey Institute for Neuroscience and Mental Health, The University of Melbourne, Victoria, Australia
| | - Stéphanie Egret
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Boulevard H. Becquerel, Caen, France
| | - Francis Eustache
- Inserm, Inserm U1077, Université de Caen Normandie, Ecole Pratique des Hautes Etudes, Caen, France
| | - Gaël Chételat
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Boulevard H. Becquerel, Caen, France
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33
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Lee J, Seo SW, Yang JJ, Jang YK, Lee JS, Kim YJ, Chin J, Lee JM, Kim ST, Lee KH, Lee JH, Kim JS, Kim S, Yoo H, Lee AY, Na DL, Kim HJ. Longitudinal cortical thinning and cognitive decline in patients with early- versus late-stage subcortical vascular mild cognitive impairment. Eur J Neurol 2017; 25:326-333. [PMID: 29082576 DOI: 10.1111/ene.13500] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 10/20/2017] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND PURPOSE Biomarker changes in cognitively impaired patients with small vessel disease are largely unknown. The rate of amyloid/lacune progression, cortical thinning and cognitive decline were evaluated in subcortical vascular mild cognitive impairment (svMCI) patients. METHODS Seventy-two svMCI patients were divided into early stage (ES-svMCI, n = 39) and late stage (LS-svMCI, n = 33) according to their Clinical Dementia Rating Sum of Boxes score. Patients were annually followed up with neuropsychological tests and brain magnetic resonance imaging for 3 years, and underwent a second [11 C] Pittsburgh compound B (PiB) positron emission tomography scan within a mean interval of 32.4 months. RESULTS There was no difference in the rate of increase in PiB uptake or lacune number between the ES-svMCI and LS-svMCI. However, LS-svMCI showed more rapid cortical thinning and cognitive decline than did the ES-svMCI. CONCLUSIONS We suggest that, whilst the rate of change in pathological burden did not differ between ES-svMCI and LS-svMCI, cortical thinning and cognitive decline progressed more rapidly in the LS-svMCI.
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Affiliation(s)
- J Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea.,Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - S W 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, Sungkyunkwan University, Seoul, Korea.,Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - J-J Yang
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Y K Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - J S Lee
- Department of Medicine, Graduate School, Kyung Hee University, Seoul, Korea
| | - Y J Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea.,Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Gangwon-do, Korea
| | - J Chin
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - J M Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - S T Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - K-H Lee
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - J H Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - J S Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - S Kim
- Biostatistics Team, Samsung Biomedical Research Institute, Seoul, Korea
| | - H Yoo
- Biostatistics Team, Samsung Biomedical Research Institute, Seoul, Korea
| | - A Y Lee
- Department of Neurology, Chungnam National University Hospital, Daejeon, Korea
| | - D 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, Sungkyunkwan University, Seoul, Korea
| | - H J 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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Altered cerebral hemodyamics and cortical thinning in asymptomatic carotid artery stenosis. PLoS One 2017; 12:e0189727. [PMID: 29240808 PMCID: PMC5730122 DOI: 10.1371/journal.pone.0189727] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Accepted: 11/30/2017] [Indexed: 11/19/2022] Open
Abstract
Cortical thinning is a potentially important biomarker, but the pathophysiology in cerebrovascular disease is unknown. We investigated the association between regional cortical blood flow and regional cortical thickness in patients with asymptomatic unilateral high-grade internal carotid artery disease without stroke. Twenty-nine patients underwent high resolution anatomical and single-delay, pseudocontinuous arterial spin labeling magnetic resonance imaging with partial volume correction to assess gray matter baseline flow. Cortical thickness was estimated using Freesurfer software, followed by co-registration onto each patient's cerebral blood flow image space. Paired t-tests assessed regional cerebral blood flow in motor cortex (supplied by the carotid artery) and visual cortex (indirectly supplied by the carotid) on the occluded and unoccluded side. Pearson correlations were calculated between cortical thickness and regional cerebral blood flow, along with age, hypertension, diabetes and white matter hyperintensity volume. Multiple regression and generalized estimating equation were used to predict cortical thickness bilaterally and in each hemisphere separately. Cortical blood flow correlated with thickness in motor cortex bilaterally (p = 0.0002), and in the occluded and unoccluded sides individually; age (p = 0.002) was also a predictor of cortical thickness in the motor cortex. None of the variables predicted cortical thickness in visual cortex. Blood flow was significantly lower on the occluded versus unoccluded side in the motor cortex (p<0.0001) and in the visual cortex (p = 0.018). On average, cortex was thinner on the side of occlusion in motor but not in visual cortex. The association between cortical blood flow and cortical thickness in carotid arterial territory with greater thinning on the side of the carotid occlusion suggests that altered cerebral hemodynamics is a factor in cortical thinning.
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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: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [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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Hong YJ, Kim CM, Kim JE, Roh JH, Kim JS, Seo SW, Na DL, Lee JH. Regional amyloid burden and lacune in pure subcortical vascular cognitive impairment. Neurobiol Aging 2017; 55:20-26. [DOI: 10.1016/j.neurobiolaging.2017.03.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 03/06/2017] [Accepted: 03/08/2017] [Indexed: 10/20/2022]
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Kim JH, Ko PW, Lee HW, Jeong JY, Lee MG, Kim JH, Lee WH, Yu R, Oh WJ, Suk K. Astrocyte-derived lipocalin-2 mediates hippocampal damage and cognitive deficits in experimental models of vascular dementia. Glia 2017; 65:1471-1490. [DOI: 10.1002/glia.23174] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Revised: 05/10/2017] [Accepted: 05/11/2017] [Indexed: 02/06/2023]
Affiliation(s)
- Jae-Hong Kim
- Department of Pharmacology; Kyungpook National University we of Medicine; Daegu Republic of Korea
- BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Sciences; Kyungpook National University School of Medicine; Daegu Republic of Korea
| | - Pan-Woo Ko
- Department of Neurology; Kyungpook National University School of Medicine; Daegu Republic of Korea
- Brain Science & Engineering Institute; Kyungpook National University; Daegu Republic of Korea
| | - Ho-Won Lee
- Department of Neurology; Kyungpook National University School of Medicine; Daegu Republic of Korea
- Brain Science & Engineering Institute; Kyungpook National University; Daegu Republic of Korea
| | - Ji-Young Jeong
- Department of Pharmacology; Kyungpook National University we of Medicine; Daegu Republic of Korea
| | - Maan-Gee Lee
- Department of Pharmacology; Kyungpook National University we of Medicine; Daegu Republic of Korea
- Brain Science & Engineering Institute; Kyungpook National University; Daegu Republic of Korea
| | - Jong-Heon Kim
- Department of Pharmacology; Kyungpook National University we of Medicine; Daegu Republic of Korea
- Brain Science & Engineering Institute; Kyungpook National University; Daegu Republic of Korea
- BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Sciences; Kyungpook National University School of Medicine; Daegu Republic of Korea
| | - Won-Ha Lee
- Department of Genetic Engineering; Kyungpook National University; Daegu Republic of Korea
| | - Ri Yu
- Korea Brain Research Institute; Daegu Republic of Korea
| | - Won-Jong Oh
- Korea Brain Research Institute; Daegu Republic of Korea
| | - Kyoungho Suk
- Department of Pharmacology; Kyungpook National University we of Medicine; Daegu Republic of Korea
- Brain Science & Engineering Institute; Kyungpook National University; Daegu Republic of Korea
- BK21 Plus KNU Biomedical Convergence Program, Department of Biomedical Sciences; Kyungpook National University School of Medicine; Daegu Republic of Korea
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38
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Sun Y, Ge X, Han X, Cao W, Wang Y, Ding W, Cao M, Zhang Y, Xu Q, Zhou Y, Xu J. Characterizing Brain Iron Deposition in Patients with Subcortical Vascular Mild Cognitive Impairment Using Quantitative Susceptibility Mapping: A Potential Biomarker. Front Aging Neurosci 2017; 9:81. [PMID: 28424610 PMCID: PMC5371674 DOI: 10.3389/fnagi.2017.00081] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Accepted: 03/14/2017] [Indexed: 11/13/2022] Open
Abstract
The presence and pattern of iron accumulation in subcortical vascular mild cognitive impairment (svMCI) and their effects on cognition have rarely been investigated. We aimed to examine brain iron deposition in svMCI subjects using quantitative susceptibility mapping (QSM). Moreover, we aimed to investigate the correlation between brain iron deposition and the severity of cognitive impairment as indicated by z-scores. We recruited 20 subcortical ischemic vascular disease (SIVD) patients who fulfilled the criteria for svMCI. The control group comprised 19 SIVD patients without cognitive impairment. The SIVD and control groups were matched based on age, gender, and years of education. Both groups underwent QSM using a 3.0T MRI system. Susceptibility maps were reconstructed from in vivo data, which were acquired with a three-dimensional spoiled gradient recalled sequence. Then, regions of interest were drawn manually on the map of each subject. The inter-group differences of susceptibility values were explored in deep gray matter nuclei, including the bilateral pulvinar nucleus of the thalamus, head of caudate nucleus, globus pallidus, putamen, hippocampus, substantia nigra, and red nucleus. The correlations between regional iron deposition and composite z-score, memory z-score, language z-score, attention-executive z-score and visuospatial z-score were assessed using partial correlation analysis, with patient age and gender as covariates. Compared with the control, the svMCI group had elevated susceptibility values within the bilateral hippocampus and right putamen. Furthermore, the susceptibility value in the right hippocampus was negatively correlated with memory z-score and positively correlated with language z-score. The susceptibility value in the right putamen was negatively correlated with attention-executive z-score in the svMCI group. However, composite z-score were unrelated to susceptibility values. Our results suggest that brain iron deposition has clinical relevance as a biomarker for cognition. In addition, our results highlight the importance of iron deposition in understanding svMCI-associated cognitive deficits in addition to conventional MRI markers.
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Affiliation(s)
- Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Xin Ge
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Xu Han
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Wenwei Cao
- Department of Neurology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Yao Wang
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Weina Ding
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Mengqiu Cao
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Yong Zhang
- GE Applied Science Laboratory, GE HealthcareShanghai, China
| | - Qun Xu
- Department of Neurology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
| | - Jianrong Xu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong UniversityShanghai, China
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Roseborough A, Ramirez J, Black SE, Edwards JD. Associations between amyloid β and white matter hyperintensities: A systematic review. Alzheimers Dement 2017; 13:1154-1167. [PMID: 28322203 DOI: 10.1016/j.jalz.2017.01.026] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 01/27/2017] [Accepted: 01/30/2017] [Indexed: 11/25/2022]
Abstract
INTRODUCTION This systematic review synthesizes current evidence for associations between cortical amyloid β, visualized on amyloid positron emission tomography imaging, and white matter hyperintensity (WMH) burden on magnetic resonance imaging in healthy elderly adults and individuals with cognitive impairment and dementia. METHODS Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review guidelines, we systematically searched MEDLINE, Embase, Cochrane, and PsycINFO databases from January 2000 to September 2015. RESULTS Our search returned 492 articles, 34 of which met criteria for inclusion in the final selection. Most studies reported no significant relationships between amyloid β and WMH burden across diagnostic groups. DISCUSSION Findings of this systematic review suggest that amyloid accumulation and WMH are independent but additive processes. The limited number of independent cohorts, lack of longitudinal data, and exclusion of individuals with mixed dementia limit the generalizability of these findings. Further studies are required to elucidate the putative contributions of vascular processes to neurodegenerative pathology.
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Affiliation(s)
- Austyn Roseborough
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Sandra E Black
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada; Department of Medicine, Neurology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Jodi D Edwards
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.
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40
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Jung NY, Han CE, Kim HJ, Yoo SW, Kim HJ, Kim EJ, Na DL, Lockhart SN, Jagust WJ, Seong JK, Seo SW. Tract-Specific Correlates of Neuropsychological Deficits in Patients with Subcortical Vascular Cognitive Impairment. J Alzheimers Dis 2016; 50:1125-35. [PMID: 26836179 DOI: 10.3233/jad-150841] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The white matter tract-specific correlates of neuropsychological deficits are not fully established in patients with subcortical vascular cognitive impairment (SVCI), where white matter tract damage may be a critical factor in cognitive impairment. The purpose of this study is to investigate the tract-specific correlates of neuropsychological deficits in SVCI patients using tract-specific statistical analysis (TSSA). We prospectively recruited 114 SVCI patients, and 55 age-, gender-, and education-matched individuals with normal cognition (NC). All participants underwent diffusion weighted imaging and neuropsychological testing. We classified tractography results into fourteen major fiber tracts and analyzed group comparison and correlation with cognitive impairments. Relative to NC subjects, SVCI patients showed decreased fractional anisotropy values in bilateral anterior-thalamic radiation, cingulum, superior-longitudinal fasciculus, uncinate fasciculus, corticospinal tract, and left inferior-longitudinal fasciculus. Focal disruptions in specific tracts were associated with specific cognitive impairments. Our findings suggest that disconnection of specific white matter tracts, especially those neighboring and providing connections between gray matter regions important to certain cognitive functions, may contribute to specific cognitive impairments in SVCI.
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Affiliation(s)
- Na-Yeon Jung
- 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 Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Cheol E Han
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, 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
| | - Sang Wook Yoo
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, Seoul, Republic of Korea
| | - Hee-Jong Kim
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, Seoul, 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
| | - 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
| | - Samuel N Lockhart
- Helen Wills Neuroscience Institute, University of California, Berkeley, USA.,Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - William J Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, USA.,Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Joon-Kyung Seong
- School of Biomedical Engineering, Korea University, Seoul, Republic of Korea.,Department of Bio-convergence Engineering, Korea University, 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.,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
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41
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Kim HJ, Yang JJ, Kwon H, Kim C, Lee JM, Chun P, Kim YJ, Jung NY, Chin J, Kim S, Woo SY, Choe YS, Lee KH, Kim ST, Kim JS, Lee JH, Weiner MW, Na DL, Seo SW. Relative impact of amyloid-β, lacunes, and downstream imaging markers on cognitive trajectories. Brain 2016; 139:2516-27. [PMID: 27329772 DOI: 10.1093/brain/aww148] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Accepted: 05/05/2016] [Indexed: 11/12/2022] Open
Abstract
SEE COHEN DOI101093/AWW183 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Amyloid-β and cerebral small vessel disease are the two major causes of cognitive impairment in the elderly. However, the underlying mechanisms responsible for precisely how amyloid-β and cerebral small vessel disease affect cognitive impairment remain unclear. We investigated the effects of amyloid-β and lacunes on downstream imaging markers including structural network and cortical thickness, further analysing their relative impact on cognitive trajectories. We prospectively recruited a pool of 117 mild cognitive impairment patients (45 amnestic type and 72 subcortical vascular type), from which 83 patients received annual follow-up with neuropsychological tests and brain magnetic resonance imaging for 3 years, and 87 patients received a second Pittsburgh compound B positron emission tomography analysis. Structural networks based on diffusion tensor imaging and cortical thickness were analysed. We used linear mixed effect regression models to evaluate the effects of imaging markers on cognitive decline. Time-varying Pittsburgh compound B uptake was associated with temporoparietal thinning, which correlated with memory decline (verbal memory test, unstandardized β = -0.79, P < 0.001; visual memory test, unstandardized β = -2.84, P = 0.009). Time-varying lacune number was associated with the degree of frontoparietal network disruption or thinning, which further affected frontal-executive function decline (Digit span backward test, unstandardized β = -0.05, P = 0.002; Stroop colour test, unstandardized β = -0.94, P = 0.008). Of the multiple imaging markers analysed, Pittsburgh compound B uptake and the number of lacunes had the greatest association with memory decline and frontal-executive function decline, respectively: Time-varying Pittsburgh compound B uptake (standardized β = -0.25, P = 0.010) showed the strongest effect on visual memory test, followed by time-varying temporoparietal thickness (standardized β = 0.21, P = 0.010) and time-varying nodal efficiency (standardized β = 0.17, P = 0.024). Time-varying lacune number (standardized β = -0.25, P = 0.014) showed the strongest effect on time-varying digit span backward test followed by time-varying nodal efficiency (standardized β = 0.17, P = 0.021). Finally, time-varying lacune number (β = -0.22, P = 0.034) showed the strongest effect on time-varying Stroop colour test followed by time-varying frontal thickness (standardized β = 0.19, P = 0.026). Our multimodal imaging analyses suggest that cognitive trajectories related to amyloid-β and lacunes have distinct paths, and that amyloid-β or lacunes have greatest impact on cognitive decline. Our results provide rationale for the targeting of amyloid-β and lacunes in therapeutic strategies aimed at ameliorating cognitive decline.
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Affiliation(s)
- Hee Jin Kim
- 1 Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 2 Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Jin Ju Yang
- 3 Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Hunki Kwon
- 3 Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Changsoo Kim
- 4 Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Min Lee
- 3 Department of Biomedical Engineering, Hanyang University, Seoul, Korea
| | - Phillip Chun
- 5 Department of Emergency Medicine Behavioral Emergencies Research Lab, San Diego, CA, USA 6 Department of Biology, University of California San Diego, CA, USA
| | - Yeo Jin Kim
- 1 Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 2 Neuroscience Center, Samsung Medical Center, Seoul, Korea 7 Department of Neurology, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea
| | - Na-Yeon Jung
- 1 Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 2 Neuroscience Center, Samsung Medical Center, Seoul, Korea 8 Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Republic of Korea
| | - Juhee Chin
- 1 Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 2 Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Seonwoo Kim
- 9 Biostatistics team, Samsung Biomedical Research Institute
| | - Sook-Young Woo
- 9 Biostatistics team, Samsung Biomedical Research Institute
| | - Yearn Seong Choe
- 10 Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung-Han Lee
- 10 Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sung Tae Kim
- 11 Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Seung Kim
- 12 Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Hong Lee
- 13 Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Michael W Weiner
- 14 Center for Imaging of Neurodegenerative Diseases, University of California, San Francisco, CA, USA
| | - Duk L Na
- 1 Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 2 Neuroscience Center, Samsung Medical Center, Seoul, Korea 15 Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- 1 Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 2 Neuroscience Center, Samsung Medical Center, Seoul, Korea 16 Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea
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42
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Wennberg AMV, Spira AP, Pettigrew C, Soldan A, Zipunnikov V, Rebok GW, Roses AD, Lutz MW, Miller MM, Thambisetty M, Albert MS. Blood glucose levels and cortical thinning in cognitively normal, middle-aged adults. J Neurol Sci 2016; 365:89-95. [PMID: 27206882 DOI: 10.1016/j.jns.2016.04.017] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2015] [Revised: 04/04/2016] [Accepted: 04/11/2016] [Indexed: 01/06/2023]
Abstract
Type II diabetes mellitus (DM) increases risk for cognitive decline and is associated with brain atrophy in older demented and non-demented individuals. We investigated (1) the cross-sectional association between fasting blood glucose level and cortical thickness in a sample of largely middle-aged, cognitively normal adults, and (2) whether these associations were modified by genes associated with both lipid processing and dementia. To explore possible modifications by genetic status, we investigated the interaction between blood glucose levels and the apolipoprotein E (APOE) ε4 allele and the translocase of the outer mitochondrial membrane (TOMM) 40 '523 genotype on cortical thickness. Cortical thickness measures were based on mean thickness in a subset of a priori-selected brain regions hypothesized to be vulnerable to atrophy in Alzheimer's disease (AD) (i.e., 'AD vulnerable regions'). Participants included 233 cognitively normal subjects in the BIOCARD study who had a measure of fasting blood glucose and cortical thickness measures, quantified by magnetic resonance imaging (MRI) scans. After adjustment for age, sex, race, education, depression, and medical conditions, higher blood glucose was associated with thinner parahippocampal gyri (B=-0.002; 95% CI -0.004, -0.0004) and temporal pole (B=-0.002; 95% CI -0.004, -0.0001), as well as reduced average thickness over AD vulnerable regions (B=-0.001; 95% CI -0.002, -0.0001). There was no evidence for greater cortical thinning in ε4 carriers of the APOE gene or in APOE ε3/3 individuals carrying the TOMM40 VL/VL genotypes. When individuals with glucose levels in the diabetic range (≥126mg/dL), were excluded from the analysis, the associations between glucose levels and cortical thickness were no longer significant. These findings suggest that glucose levels in the diabetic range are associated with reduced cortical thickness in AD vulnerable regions as early as middle age.
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Affiliation(s)
- Alexandra M V Wennberg
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States.
| | - Adam P Spira
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States; Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, United States; Johns Hopkins Center on Aging and Health, 2024 E. Monument St., Baltimore, MD 21205, United States.
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, United States.
| | - Anja Soldan
- Department of Neurology, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, United States.
| | - Vadim Zipunnikov
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States; Johns Hopkins Center on Aging and Health, 2024 E. Monument St., Baltimore, MD 21205, United States.
| | - George W Rebok
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States; Department of Psychiatry and Behavioral Science, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, United States; Johns Hopkins Center on Aging and Health, 2024 E. Monument St., Baltimore, MD 21205, United States.
| | - Allen D Roses
- Department of Neurology, Duke University School of Medicine, 8 Searle Center Dr., Durham, NC 27703, United States.
| | - Michael W Lutz
- Department of Neurology, Duke University School of Medicine, 8 Searle Center Dr., Durham, NC 27703, United States.
| | - Michael M Miller
- Department of Biomedical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, United States.
| | - Madhav Thambisetty
- Unit of Clinical and Translational Neuroscience, National Institute on Aging, 251 Bayview Blvd, Baltimore, MD 21224, United States.
| | - Marilyn S Albert
- Department of Neurology, Johns Hopkins School of Medicine, 733 N. Broadway, Baltimore, MD 21205, United States.
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Gurol ME. Molecular Neuroimaging in Vascular Cognitive Impairment. Stroke 2016; 47:1146-52. [PMID: 26883497 DOI: 10.1161/strokeaha.115.007958] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Accepted: 01/28/2016] [Indexed: 12/27/2022]
Affiliation(s)
- M Edip Gurol
- From the Department of Neurology, Massachusetts General Hospital, Boston.
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Li X, Li D, Li Q, Li Y, Li K, Li S, Han Y. Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment. Sci Rep 2016; 6:20873. [PMID: 26876151 PMCID: PMC4753487 DOI: 10.1038/srep20873] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 01/11/2016] [Indexed: 01/19/2023] Open
Abstract
Memory impairment is a typical characteristic of patients with subcortical vascular mild cognitive impairment (svMCI) or with amnestic mild cognitive impairment (aMCI). The hippocampus, which plays an important role in the consolidation of information from short-term memory to long-term memory, is a heterogeneous structure that consists of several anatomically and functionally distinct subfields. However, whether distinct hippocampal subfields are differentially and selectively affected by svMCI pathology and whether these abnormal changes in hippocampal subfields are different between svMCI and aMCI patients are largely unknown. A total of 26 svMCI patients, 26 aMCI patients and 26 healthy controls matched according to age, gender and years of education were enrolled in this study. We utilized an automated hippocampal subfield segmentation method provided by FreeSurfer to estimate the volume of several hippocampal subfields, including the cornu ammonis (CA) areas, the dentate gyrus (DG), the subiculum and the presubiculum. Compared with controls, the left subiculum and presubiculum and the right CA4/DG displayed significant atrophy in patients with svMCI. Interestingly, we also found significant differences in the volume of the right CA1 between the svMCI and aMCI groups. Taken together, our results reveal region-specific vulnerability of hippocampal subfields to svMCI pathology and identify distinct hippocampal subfield atrophy patterns between svMCI and aMCI patients.
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Affiliation(s)
- Xinwei Li
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science &Medical Engineering, Beihang University, Beijing, 100191, China
| | - Deyu Li
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science &Medical Engineering, Beihang University, Beijing, 100191, China
| | - Qiongling Li
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science &Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yuxia Li
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, 100053, China.,Department of Neurology, Tangshan Gongren Hospital, Tangshan, 063000, China
| | - Kuncheng Li
- Department of Radiology, Xuan Wu Hospital, Capital Medical University, Beijing, 100053, China
| | - Shuyu Li
- Key Laboratory for Biomechanics and Mechanobiology of the Ministry of Education, School of Biological Science &Medical Engineering, Beihang University, Beijing, 100191, China
| | - Ying Han
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100053, China.,Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, 100053, China
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45
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Jang YK, Kwon H, Kim YJ, Jung NY, Lee JS, Lee J, Chin J, Im K, Jeon S, Lee JM, Seong JK, Kim JH, Kim S, Choe YS, Lee KH, Kim ST, Kim JS, Lee JH, Na DL, Seo SW, Kim HJ. Early- vs late-onset subcortical vascular cognitive impairment. Neurology 2016; 86:527-34. [PMID: 26764026 DOI: 10.1212/wnl.0000000000002357] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Accepted: 10/14/2015] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the differences between early-onset subcortical vascular cognitive impairment (EO-SVCI) and late-onset subcortical vascular cognitive impairment (LO-SVCI) with regard to pathologic burden, structural changes, and cognitive function. METHODS We prospectively recruited 142 patients from a single referral center. Patients were divided into EO-SVCI (n = 30, age at onset <65 years) and LO-SVCI (n = 112, age at onset ≥ 65 years) groups. All patients underwent neuropsychological tests, 3T brain MRI, and [(11)C] Pittsburgh compound B (PiB)-PET. We compared pathologic burden such as small vessel disease and amyloid burden; structural changes such as structural network, cortical thickness, and hippocampal volume; and cognitive function between EO-SVCI and LO-SVCI. RESULTS EO-SVCI patients had more lacunes, while LO-SVCI patients had higher PiB standardized uptake value ratios. EO-SVCI patients exhibited more severe structural network disruptions in the frontal area, while LO-SVCI patients exhibited more severe cortical and hippocampal atrophy. Although disease severity did not differ between the 2 groups, frontal-executive dysfunction was more severe in EO-SVCI patients. CONCLUSIONS EO-SVCI patients showed more vascular related factors, while LO-SVCI patients exhibited more Alzheimer disease-related characteristics. The greater number of lacunes in EO-SVCI might account for the more severe frontal network disruption and frontal-executive dysfunction, while the greater amyloid burden in LO-SVCI might account for the more severe cortical and hippocampal atrophy. Our findings suggest that the age at onset is a crucial factor that determines distinct features in SVCI patients, such as pathologic burden, structural changes, and cognitive function.
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Affiliation(s)
- Young Kyoung Jang
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hunki Kwon
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yeo Jin Kim
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Na Yeon Jung
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jin San Lee
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Juyoun Lee
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Juhee Chin
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kiho Im
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seun Jeon
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jong Min Lee
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Joon-Kyoung Seong
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jeong Hun Kim
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Seonwoo Kim
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yearn Seong Choe
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyung-Han Lee
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sung Tae Kim
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Seung Kim
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Hong Lee
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Duk L Na
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sang Won Seo
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hee Jin Kim
- From the Departments of Neurology (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Nuclear Medicine (Y.S.C., K.-H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine; Neuroscience Center (Y.K.J., Y.J.K., J.S.L., J.L., J.C., D.L.N., S.W.S., H.J.K.), Samsung Medical Center, Seoul, Korea; Department of Biomedical Engineering (H.K., J.M.L.), Hanyang University, Seoul, Korea; Department of Neurology (N.Y.J.), Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Busan, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; McGill Centre for Integrative Neuroscience (S.J.), Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada; Departments of Biomedical Engineering (J.-K.S.) and Computer and Radio Communications Engineering (J.H.K.), Korea University; Biostatistics Team (S.K.), Samsung Biomedical Research Institute; and Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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Tomimoto H. White matter integrity and cognitive dysfunction: Radiological and neuropsychological correlations. Geriatr Gerontol Int 2015; 15 Suppl 1:3-9. [DOI: 10.1111/ggi.12661] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/17/2015] [Indexed: 12/30/2022]
Affiliation(s)
- Hidekazu Tomimoto
- Department of Neurology; Graduate School of Medicine; Mie University; Mie Japan
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Affiliation(s)
- A H V Schapira
- Department of Clinical Neurosciences, UCL Institute of Neurology, London, UK.
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Biller A, Reuter M, Patenaude B, Homola GA, Breuer F, Bendszus M, Bartsch AJ. Responses of the Human Brain to Mild Dehydration and Rehydration Explored In Vivo by 1H-MR Imaging and Spectroscopy. AJNR Am J Neuroradiol 2015; 36:2277-84. [PMID: 26381562 DOI: 10.3174/ajnr.a4508] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2014] [Accepted: 05/06/2015] [Indexed: 01/18/2023]
Abstract
BACKGROUND AND PURPOSE As yet, there are no in vivo data on tissue water changes and associated morphometric changes involved in the osmo-adaptation of normal brains. Our aim was to evaluate osmoadaptive responses of the healthy human brain to osmotic challenges of de- and rehydration by serial measurements of brain volume, tissue fluid, and metabolites. MATERIALS AND METHODS Serial T1-weighted and (1)H-MR spectroscopy data were acquired in 15 healthy individuals at normohydration, on 12 hours of dehydration, and during 1 hour of oral rehydration. Osmotic challenges were monitored by serum measures, including osmolality and hematocrit. MR imaging data were analyzed by using FreeSurfer and LCModel. RESULTS On dehydration, serum osmolality increased by 0.67% and brain tissue fluid decreased by 1.63%, on average. MR imaging morphometry demonstrated corresponding decreases of cortical thickness and volumes of the whole brain, cortex, white matter, and hypothalamus/thalamus. These changes reversed during rehydration. Continuous fluid ingestion of 1 L of water for 1 hour within the scanner lowered serum osmolality by 0.96% and increased brain tissue fluid by 0.43%, on average. Concomitantly, cortical thickness and volumes of the whole brain, cortex, white matter, and hypothalamus/thalamus increased. Changes in brain tissue fluid were related to volume changes of the whole brain, the white matter, and hypothalamus/thalamus. Only volume changes of the hypothalamus/thalamus significantly correlated with serum osmolality. CONCLUSIONS This is the first study simultaneously evaluating changes in brain tissue fluid, metabolites, volume, and cortical thickness. Our results reflect cellular volume regulatory mechanisms at a macroscopic level and emphasize that it is essential to control for hydration levels in studies on brain morphometry and metabolism in order to avoid confounding the findings.
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Affiliation(s)
- A Biller
- From the Department of Neuroradiology (A.B., M.B., A.J.B.), University of Heidelberg, Heidelberg, Germany
| | - M Reuter
- Department of Radiology (M.R.), Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts Martinos Center for Biomedical Imaging (M.R.), Charlestown, Massachusetts Massachusetts Institute of Technology Computer Science and AI Lab (M.R.), Cambridge, Massachusetts
| | - B Patenaude
- Department of Psychiatry and Behavioral Sciences (B.P.), Stanford University, Stanford, California Department of Clinical Neurology (B.P., A.J.B.), FMRIB Centre, University of Oxford, Oxford, UK
| | - G A Homola
- Department of Neuroradiology (G.A.H., A.J.B.), University of Würzburg, Würzburg, Germany
| | - F Breuer
- Research Center for Magnetic-Resonance-Bavaria (F.B.), Würzburg, Germany
| | - M Bendszus
- From the Department of Neuroradiology (A.B., M.B., A.J.B.), University of Heidelberg, Heidelberg, Germany
| | - A J Bartsch
- From the Department of Neuroradiology (A.B., M.B., A.J.B.), University of Heidelberg, Heidelberg, Germany Department of Clinical Neurology (B.P., A.J.B.), FMRIB Centre, University of Oxford, Oxford, UK Department of Neuroradiology (G.A.H., A.J.B.), University of Würzburg, Würzburg, Germany
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Kim HJ, Im K, Kwon H, Lee JM, Kim C, Kim YJ, Jung NY, Cho H, Ye BS, Noh Y, Kim GH, Ko ED, Kim JS, Choe YS, Lee KH, Kim ST, Lee JH, Ewers M, Weiner MW, Na DL, Seo SW. Clinical effect of white matter network disruption related to amyloid and small vessel disease. Neurology 2015; 85:63-70. [PMID: 26062629 DOI: 10.1212/wnl.0000000000001705] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Accepted: 02/05/2015] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND We tested our hypothesis that the white matter network might mediate the effect of amyloid and small vessel disease (SVD) on cortical thickness and/or cognition. METHODS We prospectively recruited 232 patients with cognitive impairment. Amyloid was assessed using Pittsburgh compound B-PET. SVD was quantified as white matter hyperintensity volume and lacune number. The regional white matter network connectivity was measured as regional nodal efficiency by applying graph theoretical analysis to diffusion tensor imaging data. We measured cortical thickness and performed neuropsychological tests. RESULTS SVD burden was associated with decreased nodal efficiency in the bilateral frontal, lateral temporal, lateral parietal, and occipital regions. Path analyses showed that the frontal nodal efficiency mediated the effect of SVD on the frontal atrophy and frontal-executive dysfunction. The temporoparietal nodal efficiency mediated the effect of SVD on the temporoparietal atrophy and memory dysfunction. However, Pittsburgh compound B retention ratio affected cortical atrophy and cognitive impairment without being mediated by nodal efficiency. CONCLUSIONS We suggest that a disrupted white matter network mediates the effect of SVD, but not amyloid, on specific patterns of cortical atrophy and/or cognitive impairment. Therefore, our findings provide insight to better understand how amyloid and SVD burden can give rise to brain atrophy or cognitive impairment in specific patterns.
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Affiliation(s)
- Hee Jin Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Kiho Im
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hunki Kwon
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jong-Min Lee
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Changsoo Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Yeo Jin Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Na-Yeon Jung
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Hanna Cho
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Byoung Seok Ye
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Young Noh
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Geon Ha Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - En-Da Ko
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jae Seung Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Yearn Seong Choe
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Kyung Han Lee
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sung Tae Kim
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Jae Hong Lee
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Michael Ewers
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Michael W Weiner
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Duk L Na
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea
| | - Sang Won Seo
- From the Departments of Neurology (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Nuclear Medicine (Y.S.C., K.H.L.), and Radiology (S.T.K.), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul; Neuroscience Center (H.J.K., Y.J.K., N.-Y.J., E.-D.K., D.L.N., S.W.S.), Samsung Medical Center, Seoul, Korea; Division of Newborn Medicine (K.I.), Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Biomedical Engineering (H.K., J.-M.L.), Hanyang University, Seoul, Korea; Division of Preventive Medicine (C.K.), Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA; Departments of Preventive Medicine (C.K.) and Neurology (B.S.Y.), and Department of Neurology, Gangnam Severance Hospital (H.C.), Yonsei University College of Medicine, Seoul; Department of Neurology (Y.N.), Gachon University Gil Medical Center, Incheon; Ewha Womans University Mokdong Hospital (G.H.K.), Ewha Womans University School of Medicine, Seoul; Departments of Nuclear Medicine (J.S.K.) and Neurology (J.H.L.), University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea; Institute for Stroke and Dementia Research (M.E.), Ludwig-Maximilians-University, Munich, Germany; and Center for Imaging of Neurodegenerative Diseases (M.W.W.), University of California, San Francisco; Department of Clinical Research Design and Evaluation (D.L.N., S.W.S.), SAIHST, Sungkyunkwan University, Seoul, Korea.
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Kim YJ, Kwon HK, Lee JM, Kim YJ, Kim HJ, Jung NY, Kim ST, Lee KH, Na DL, Seo SW. White matter microstructural changes in pure Alzheimer's disease and subcortical vascular dementia. Eur J Neurol 2015; 22:709-16. [PMID: 25603760 DOI: 10.1111/ene.12645] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 11/12/2014] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Recent studies have demonstrated that Alzheimer's disease (AD) and subcortical vascular dementia (SVaD) have white matter (WM) microstructural changes. However, previous studies on AD and SVaD rarely eliminated the confounding effects of patients with mixed Alzheimer's and cerebrovascular disease pathologies. Therefore, our aim was to evaluate the divergent topography of WM microstructural changes in patients with pure AD and SVaD. METHODS Patients who were clinically diagnosed with AD and SVaD were prospectively recruited. Forty AD patients who were Pittsburgh compound B (PiB) positive [PiB(+) AD] without WM hyperintensities and 32 SVaD patients who were PiB negative [PiB(-) SVaD] were chosen. Fifty-six cognitively normal individuals were also recruited (NC). Tract-based spatial statistics of diffuse tensor imaging were used to compare patterns of fractional anisotropy (FA) and mean diffusivity (MD). RESULTS Compared with the NC group, the PiB(+) AD group showed decreased FA in the bilateral frontal, temporal and parietal WM regions and the genu and splenium of the corpus callosum as well as increased MD in the left frontal and temporal WM region. PiB(-) SVaD patients showed decreased FA and increased MD in all WM regions. Direct comparison between PiB(+) AD and PiB(-) SVaD groups showed that the PiB(-) SVaD group had decreased FA across all WM regions and increased MD in all WM regions except occipital regions. CONCLUSION Our findings suggest that pure AD and pure SVaD have divergent topography of WM microstructural changes including normal appearing WM.
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Affiliation(s)
- Y J 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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