TY - JOUR
T1 - Body mass index, time of day and genetics affect perivascular spaces in the white matter
AU - Barisano, Giuseppe
AU - Sheikh-Bahaei, Nasim
AU - Law, Meng
AU - Toga, Arthur W.
AU - Sepehrband, Farshid
N1 - Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research reported in this publication was supported by the National Institute of Mental Health of the NIH under Award Number RF1MH123223.
Funding Information:
The authors would like to thank Lucia Ichino for her critical evaluation of the manuscript. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Data were provided in part by the HCP, WU-Minn Consortium (1U54MH091657) and by the McDonnell Center for Systems Neuroscience at Washington University. MRI and clinical data can be accessed from https://www.humanconnectome.org .
Publisher Copyright:
© The Author(s) 2020.
PY - 2021/7
Y1 - 2021/7
N2 - The analysis of cerebral perivascular spaces (PVS) using magnetic resonance imaging (MRI) allows to explore in vivo their contributions to neurological disorders. To date the normal amount and distribution of PVS in healthy human brains are not known, thus hampering our ability to define with confidence pathogenic alterations. Furthermore, it is unclear which biological factors can influence the presence and size of PVS on MRI. We performed exploratory data analysis of PVS volume and distribution in a large population of healthy individuals (n = 897, age = 28.8 ± 3.7). Here we describe the global and regional amount of PVS in the white matter, which can be used as a reference for clinicians and researchers investigating PVS and may help the interpretation of the structural changes affecting PVS in pathological states. We found a relatively high inter-subject variability in the PVS amount in this population of healthy adults (range: 1.31–14.49 cm3). The PVS volume was higher in older and male individuals. Moreover, we identified body mass index, time of day, and genetics as new elements significantly affecting PVS in vivo under physiological conditions, offering a valuable foundation to future studies aimed at understanding the physiology of perivascular flow.
AB - The analysis of cerebral perivascular spaces (PVS) using magnetic resonance imaging (MRI) allows to explore in vivo their contributions to neurological disorders. To date the normal amount and distribution of PVS in healthy human brains are not known, thus hampering our ability to define with confidence pathogenic alterations. Furthermore, it is unclear which biological factors can influence the presence and size of PVS on MRI. We performed exploratory data analysis of PVS volume and distribution in a large population of healthy individuals (n = 897, age = 28.8 ± 3.7). Here we describe the global and regional amount of PVS in the white matter, which can be used as a reference for clinicians and researchers investigating PVS and may help the interpretation of the structural changes affecting PVS in pathological states. We found a relatively high inter-subject variability in the PVS amount in this population of healthy adults (range: 1.31–14.49 cm3). The PVS volume was higher in older and male individuals. Moreover, we identified body mass index, time of day, and genetics as new elements significantly affecting PVS in vivo under physiological conditions, offering a valuable foundation to future studies aimed at understanding the physiology of perivascular flow.
KW - body mass index
KW - genetics
KW - magnetic resonance imaging
KW - Perivascular spaces
KW - time of day
UR - https://www.scopus.com/pages/publications/85095997387
U2 - 10.1177/0271678X20972856
DO - 10.1177/0271678X20972856
M3 - Article
C2 - 33183133
AN - SCOPUS:85095997387
SN - 0271-678X
VL - 41
SP - 1563
EP - 1578
JO - Journal of Cerebral Blood Flow and Metabolism
JF - Journal of Cerebral Blood Flow and Metabolism
IS - 7
ER -
SDG 3 Good Health and Well-being