Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

Lucia Ballerini; Tom Booth; Maria del Carmen Valdés Hernández; Stewart Wiseman; Ruggiero Lovreglio; Susana Muñoz Maniega; Zoe Morris; Alison Pattie; Janie Corley; Alan Gow; Mark E. Bastin; Ian J. Deary; Joanna Wardlaw

doi:10.1016/j.nicl.2019.102120

Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

Lucia Ballerini
, Tom Booth
, Maria del Carmen Valdés Hernández
, Stewart Wiseman
, Ruggiero Lovreglio
, Susana Muñoz Maniega
, Zoe Morris
, Alison Pattie
, Janie Corley
, Alan Gow
, Mark E. Bastin
, Ian J. Deary
, Joanna Wardlaw

Research output: Contribution to journal › Article › peer-review

60 Citations (Scopus)

93 Downloads (Pure)

Original language	English
Article number	102120
Journal	NeuroImage: Clinical
Volume	25
Early online date	9 Dec 2019
DOIs	https://doi.org/10.1016/j.nicl.2019.102120
Publication status	Published - Jan 2020

Keywords

Ageing
MRI
Perivascular spaces
White matter hyperintensities

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Neurology
Clinical Neurology
Cognitive Neuroscience

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Ballerini, L., Booth, T., del Carmen Valdés Hernández, M., Wiseman, S., Lovreglio, R., Muñoz Maniega, S., Morris, Z., Pattie, A., Corley, J., Gow, A., Bastin, M. E., Deary, I. J., & Wardlaw, J. (2020). Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936. NeuroImage: Clinical, 25, Article 102120. https://doi.org/10.1016/j.nicl.2019.102120

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title = "Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936",

keywords = "Ageing, MRI, Perivascular spaces, White matter hyperintensities",

author = "Lucia Ballerini and Tom Booth and \{del Carmen Vald{\'e}s Hern{\'a}ndez\}, Maria and Stewart Wiseman and Ruggiero Lovreglio and \{Mu{\~n}oz Maniega\}, Susana and Zoe Morris and Alison Pattie and Janie Corley and Alan Gow and Bastin, \{Mark E.\} and Deary, \{Ian J.\} and Joanna Wardlaw",

year = "2020",

month = jan,

doi = "10.1016/j.nicl.2019.102120",

language = "English",

volume = "25",

journal = "NeuroImage: Clinical",

issn = "2213-1582",

publisher = "Elsevier",

}

Ballerini, L, Booth, T, del Carmen Valdés Hernández, M, Wiseman, S, Lovreglio, R, Muñoz Maniega, S, Morris, Z, Pattie, A, Corley, J, Gow, A, Bastin, ME, Deary, IJ & Wardlaw, J 2020, 'Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936', NeuroImage: Clinical, vol. 25, 102120. https://doi.org/10.1016/j.nicl.2019.102120

Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936. / Ballerini, Lucia; Booth, Tom; del Carmen Valdés Hernández, Maria et al.
In: NeuroImage: Clinical, Vol. 25, 102120, 01.2020.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Computational quantification of brain perivascular space morphologies

T2 - Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

AU - Ballerini, Lucia

AU - Booth, Tom

AU - del Carmen Valdés Hernández, Maria

AU - Wiseman, Stewart

AU - Lovreglio, Ruggiero

AU - Muñoz Maniega, Susana

AU - Morris, Zoe

AU - Pattie, Alison

AU - Corley, Janie

AU - Gow, Alan

AU - Bastin, Mark E.

AU - Deary, Ian J.

AU - Wardlaw, Joanna

PY - 2020/1

Y1 - 2020/1

KW - Ageing

KW - MRI

KW - Perivascular spaces

KW - White matter hyperintensities

UR - https://www.scopus.com/pages/publications/85076918696

U2 - 10.1016/j.nicl.2019.102120

DO - 10.1016/j.nicl.2019.102120

M3 - Article

C2 - 31887717

SN - 2213-1582

VL - 25

JO - NeuroImage: Clinical

JF - NeuroImage: Clinical

M1 - 102120

ER -

Ballerini L, Booth T, del Carmen Valdés Hernández M, Wiseman S, Lovreglio R, Muñoz Maniega S et al. Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936. NeuroImage: Clinical. 2020 Jan;25:102120. Epub 2019 Dec 9. doi: 10.1016/j.nicl.2019.102120

Computational quantification of brain perivascular space morphologies: Associations with vascular risk factors and white matter hyperintensities. A study in the Lothian Birth Cohort 1936

Keywords

ASJC Scopus subject areas

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