Predictors for Cortical Gray Matter Volume in Stroke Patients With Confluent White Matter Changes Yunyun Xiong, Adrian Wong, Kelvin Wong, Winnie C.W. Chu, Xintao Hu, Xiangyan Chen, Ka Sing Wong, Stephen T.C. Wong, Xinfeng Liu, Vincent Mok PII: DOI: Reference:
S0022-510X(13)03115-8 doi: 10.1016/j.jns.2013.12.044 JNS 12988
To appear in:
Journal of the Neurological Sciences
Received date: Revised date: Accepted date:
11 September 2013 24 December 2013 27 December 2013
Please cite this article as: Xiong Yunyun, Wong Adrian, Wong Kelvin, Chu Winnie C.W., Hu Xintao, Chen Xiangyan, Wong Ka Sing, Wong Stephen T.C., Liu Xinfeng, Mok Vincent, Predictors for Cortical Gray Matter Volume in Stroke Patients With Confluent White Matter Changes, Journal of the Neurological Sciences (2014), doi: 10.1016/j.jns.2013.12.044
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT Author Information Page Full Title: Predictors for Cortical Gray Matter Volume in Stroke Patients With
IP
T
Confluent White Matter Changes
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Yunyun Xiong, MD1,2; Adrian Wong, PhD2; Kelvin Wong, PhD3; Winnie C.W. Chu, MD4 ; Xintao Hu3, PhD; Xiangyan Chen, MD, PhD2; Ka Sing Wong, MD2; Stephen
NU
TC Wong, PhD3; Xinfeng Liu, MD, PhD1; Vincent Mok, MD2
Department of Neurology, Jinling Hospital, Nanjing University School of Medicine,
MA
305# East Zhongshan Road, Nanjing, Jiangsu Province, People's Republic of China1
D
Department of Medicine and Therapeutics2, and Department of Radiology & Organ
TE
Imaging4, The Chinese University of Hong Kong, Shatin, Hong Kong Special
CE P
Administrative Region, China
Bioinformatics and Imaging Programmatic Cores, The Methodist Hospital Research
AC
Institute, Weill Cornell Medical College, Houston, Texas, USA3
Correspondence to: Dr. Vincent C.T. Mok Department of Medicine & Therapeutics, The Chinese University of Hong Kong Shatin, Hong Kong SAR, China Telephone: 852-2632 3131 Fax number: 852-2649 3761 E-mail address: [email protected]
ACCEPTED MANUSCRIPT Key Words: brain atrophy; cortical gray matter; white matter changes; small vessel
AC
CE P
TE
D
MA
NU
SC R
IP
T
disease; microbleed; triglyceride.
ACCEPTED MANUSCRIPT Acknowledgments and Funding Page This work was supported by 2005/2006 Earmarked Grant CUHK 4317/04M. The
IP
T
funding support for KW, XH, and SW is from the Bioinformatics and Imaging
SC R
Programmatic Cores, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, Texas, USA.
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Conflict of Interest
AC
CE P
TE
D
MA
None
ACCEPTED MANUSCRIPT Background and Purpose: Our previous study found that cortical gray matter (cGM) volume predicted vascular cognitive impairment independent of age-related white
IP
T
matter changes (WMC). We aimed to investigate predictors for cGM volume in
SC R
ischemic stroke patients with confluent WMC.
Methods: One-hundred post-stroke patients with confluent WMC were recruited into the study. All volumetric measures were standardized by intracranial volume as
NU
volume ratio. Univariate analyses and multivariate linear regression models were used
MA
to test relationship of cGM volume with basic demography, vascular risk factors, APOE status, WMC volume (periventricular and deep WMC), infarct measures
D
(volume, number and location) and microbleed (number, presence and location).
TE
Results: After controlling for significant variables in the univariate analyses,
CE P
multivariate linear regression models found that old age (β=-0.288, p=0.001), low triglyceride (β=0.194, p=0.027), periventricular WMC (PVWMC) (β=-0.392, p
S0022-510X(13)03115-8 doi: 10.1016/j.jns.2013.12.044 JNS 12988
To appear in:
Journal of the Neurological Sciences
Received date: Revised date: Accepted date:
11 September 2013 24 December 2013 27 December 2013
Please cite this article as: Xiong Yunyun, Wong Adrian, Wong Kelvin, Chu Winnie C.W., Hu Xintao, Chen Xiangyan, Wong Ka Sing, Wong Stephen T.C., Liu Xinfeng, Mok Vincent, Predictors for Cortical Gray Matter Volume in Stroke Patients With Confluent White Matter Changes, Journal of the Neurological Sciences (2014), doi: 10.1016/j.jns.2013.12.044
This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
ACCEPTED MANUSCRIPT Author Information Page Full Title: Predictors for Cortical Gray Matter Volume in Stroke Patients With
IP
T
Confluent White Matter Changes
SC R
Yunyun Xiong, MD1,2; Adrian Wong, PhD2; Kelvin Wong, PhD3; Winnie C.W. Chu, MD4 ; Xintao Hu3, PhD; Xiangyan Chen, MD, PhD2; Ka Sing Wong, MD2; Stephen
NU
TC Wong, PhD3; Xinfeng Liu, MD, PhD1; Vincent Mok, MD2
Department of Neurology, Jinling Hospital, Nanjing University School of Medicine,
MA
305# East Zhongshan Road, Nanjing, Jiangsu Province, People's Republic of China1
D
Department of Medicine and Therapeutics2, and Department of Radiology & Organ
TE
Imaging4, The Chinese University of Hong Kong, Shatin, Hong Kong Special
CE P
Administrative Region, China
Bioinformatics and Imaging Programmatic Cores, The Methodist Hospital Research
AC
Institute, Weill Cornell Medical College, Houston, Texas, USA3
Correspondence to: Dr. Vincent C.T. Mok Department of Medicine & Therapeutics, The Chinese University of Hong Kong Shatin, Hong Kong SAR, China Telephone: 852-2632 3131 Fax number: 852-2649 3761 E-mail address: [email protected]
ACCEPTED MANUSCRIPT Key Words: brain atrophy; cortical gray matter; white matter changes; small vessel
AC
CE P
TE
D
MA
NU
SC R
IP
T
disease; microbleed; triglyceride.
ACCEPTED MANUSCRIPT Acknowledgments and Funding Page This work was supported by 2005/2006 Earmarked Grant CUHK 4317/04M. The
IP
T
funding support for KW, XH, and SW is from the Bioinformatics and Imaging
SC R
Programmatic Cores, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, Texas, USA.
NU
Conflict of Interest
AC
CE P
TE
D
MA
None
ACCEPTED MANUSCRIPT Background and Purpose: Our previous study found that cortical gray matter (cGM) volume predicted vascular cognitive impairment independent of age-related white
IP
T
matter changes (WMC). We aimed to investigate predictors for cGM volume in
SC R
ischemic stroke patients with confluent WMC.
Methods: One-hundred post-stroke patients with confluent WMC were recruited into the study. All volumetric measures were standardized by intracranial volume as
NU
volume ratio. Univariate analyses and multivariate linear regression models were used
MA
to test relationship of cGM volume with basic demography, vascular risk factors, APOE status, WMC volume (periventricular and deep WMC), infarct measures
D
(volume, number and location) and microbleed (number, presence and location).
TE
Results: After controlling for significant variables in the univariate analyses,
CE P
multivariate linear regression models found that old age (β=-0.288, p=0.001), low triglyceride (β=0.194, p=0.027), periventricular WMC (PVWMC) (β=-0.392, p
