Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors
Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. We evaluated 801 stroke- and dementia-free elderlies with baseline and...
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Published in | Alzheimer's & dementia : diagnosis, assessment & disease monitoring Vol. 11; no. 1; pp. 721 - 729 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , |
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Language | English |
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Elsevier Inc
01.12.2019
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Abstract | Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors.
We evaluated 801 stroke- and dementia-free elderlies with baseline and 3-year follow-up assessments. Regression analyses were used to assess the association between age-related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age-related cognitive outcomes.
PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3-year follow-up. The association between vascular risk factors and age-related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers.
PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age-related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age-related cognitive alterations. |
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AbstractList | Abstract Introduction Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age‐related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. Methods We evaluated 801 stroke‐ and dementia‐free elderlies with baseline and 3‐year follow‐up assessments. Regression analyses were used to assess the association between age‐related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age‐related cognitive outcomes. Results PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3‐year follow‐up. The association between vascular risk factors and age‐related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers. Discussion PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age‐related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age‐related cognitive alterations. Introduction Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age‐related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. Methods We evaluated 801 stroke‐ and dementia‐free elderlies with baseline and 3‐year follow‐up assessments. Regression analyses were used to assess the association between age‐related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age‐related cognitive outcomes. Results PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3‐year follow‐up. The association between vascular risk factors and age‐related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers. Discussion PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age‐related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age‐related cognitive alterations. Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors. We evaluated 801 stroke- and dementia-free elderlies with baseline and 3-year follow-up assessments. Regression analyses were used to assess the association between age-related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age-related cognitive outcomes. PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3-year follow-up. The association between vascular risk factors and age-related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers. PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age-related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age-related cognitive alterations. Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors.INTRODUCTIONOnly two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none of the studies investigated the association with vascular risk factors.We evaluated 801 stroke- and dementia-free elderlies with baseline and 3-year follow-up assessments. Regression analyses were used to assess the association between age-related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age-related cognitive outcomes.METHODSWe evaluated 801 stroke- and dementia-free elderlies with baseline and 3-year follow-up assessments. Regression analyses were used to assess the association between age-related cognitive functions and PSMD. Simple mediation models were used to study the mediation effect of PSMD between vascular risk factors and age-related cognitive outcomes.PSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3-year follow-up. The association between vascular risk factors and age-related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers.RESULTSPSMD was negatively associated with processing speed at baseline and negatively associated with processing and memory scores at 3-year follow-up. The association between vascular risk factors and age-related cognition was mediated by PSMD, as well as other diffusion tensor imaging markers.PSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age-related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age-related cognitive alterations.DISCUSSIONPSMD is preferred over other diffusion tensor imaging markers as it is sensitive to age-related cognitive alterations and calculation is fully automated. PSMD is proposed as a research tool to monitor age-related cognitive alterations. |
Author | Lam, Bonnie Yin Ka Duering, Marco Yiu, Brian Chu, Winnie Chiu Wing Abrigo, Jill Song, Haiqing Leung, Kam Tat Tian, Xiaolin Zhao, Lei Fu, Jian-Hui Wong, Adrian Mok, Vincent Chung Tong Au, Lisa Ko, Ho Biesbroek, J. Matthijs Shi, Lin Wang, Kai Lau, Alexander Tang, Yumi Xu, Qun Fan, Yuhua |
AuthorAffiliation | h Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China l Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China e Department of Neurology, The First Hospital of Anhui Medical University, Hefei, Anhui Province, China k Department of Imaging and Interventional Radiology, Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China g Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China n Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany j Department of Neurology, The Second Affiliated Hospital, Tianjin Medical University, Tianjin, China d Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands i Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China o |
AuthorAffiliation_xml | – name: g Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China – name: k Department of Imaging and Interventional Radiology, Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – name: d Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands – name: h Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China – name: f Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China – name: l Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – name: n Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – name: o Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – name: c BrainNow Research Institute, Shenzhen, Guangdong Province, China – name: m Li Ka Shing Institute of Health Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – name: a Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – name: b Therese Pei Fong Chow Research Center for Prevention of Dementia, Margaret Kam Ling Cheung Research Centre for Management of Parkinsonism, Gerald Choa Neuroscience Centre, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – name: e Department of Neurology, The First Hospital of Anhui Medical University, Hefei, Anhui Province, China – name: j Department of Neurology, The Second Affiliated Hospital, Tianjin Medical University, Tianjin, China – name: i Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China |
Author_xml | – sequence: 1 givenname: Bonnie Yin Ka surname: Lam fullname: Lam, Bonnie Yin Ka organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 2 givenname: Kam Tat surname: Leung fullname: Leung, Kam Tat organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 3 givenname: Brian surname: Yiu fullname: Yiu, Brian organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 4 givenname: Lei surname: Zhao fullname: Zhao, Lei organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 5 givenname: J. Matthijs surname: Biesbroek fullname: Biesbroek, J. Matthijs organization: Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands – sequence: 6 givenname: Lisa surname: Au fullname: Au, Lisa organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 7 givenname: Yumi surname: Tang fullname: Tang, Yumi organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 8 givenname: Kai surname: Wang fullname: Wang, Kai organization: Department of Neurology, The First Hospital of Anhui Medical University, Hefei, Anhui Province, China – sequence: 9 givenname: Yuhua surname: Fan fullname: Fan, Yuhua organization: Department of Neurology and Stroke Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China – sequence: 10 givenname: Jian-Hui surname: Fu fullname: Fu, Jian-Hui organization: Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China – sequence: 11 givenname: Qun surname: Xu fullname: Xu, Qun organization: Department of Neurology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China – sequence: 12 givenname: Haiqing surname: Song fullname: Song, Haiqing organization: Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China – sequence: 13 givenname: Xiaolin surname: Tian fullname: Tian, Xiaolin organization: Department of Neurology, The Second Affiliated Hospital, Tianjin Medical University, Tianjin, China – sequence: 14 givenname: Winnie Chiu Wing surname: Chu fullname: Chu, Winnie Chiu Wing organization: Department of Imaging and Interventional Radiology, Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 15 givenname: Jill surname: Abrigo fullname: Abrigo, Jill organization: Department of Imaging and Interventional Radiology, Research Center for Medical Image Computing, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 16 givenname: Lin surname: Shi fullname: Shi, Lin organization: BrainNow Research Institute, Shenzhen, Guangdong Province, China – sequence: 17 givenname: Ho surname: Ko fullname: Ko, Ho organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 18 givenname: Alexander surname: Lau fullname: Lau, Alexander organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 19 givenname: Marco surname: Duering fullname: Duering, Marco organization: Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany – sequence: 20 givenname: Adrian surname: Wong fullname: Wong, Adrian organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China – sequence: 21 givenname: Vincent Chung Tong surname: Mok fullname: Mok, Vincent Chung Tong email: vctmok@cuhk.edu.hk organization: Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China |
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Keywords | Peak width of skeletonized mean diffusivity Processing speed Small vessel disease Community subjects Diffusion tensor imaging |
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Snippet | Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age-related cognitive alterations, whereas none... Introduction Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age‐related cognitive alterations,... Abstract Introduction Only two studies investigated the associations between peak width of skeletonized mean diffusivity (PSMD) and age‐related cognitive... |
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SubjectTerms | Community subjects Diffusion tensor imaging Neuroimaging Peak width of skeletonized mean diffusivity Processing speed Small vessel disease |
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Title | Peak width of skeletonized mean diffusivity and its association with age-related cognitive alterations and vascular risk factors |
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