Cerebral volume is unaffected after pre-eclampsia.
MRI
age
cerebral volume
pre-eclampsia
white-matter lesions
Journal
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
ISSN: 1469-0705
Titre abrégé: Ultrasound Obstet Gynecol
Pays: England
ID NLM: 9108340
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
revised:
12
01
2023
received:
09
09
2022
accepted:
19
01
2023
medline:
3
7
2023
pubmed:
3
2
2023
entrez:
2
2
2023
Statut:
ppublish
Résumé
Pre-eclampsia has been associated with cardiovascular, cerebrovascular and/or psychological complaints. Signs of altered brain morphology and more white-matter hyperintensities (WMHs) during and shortly after pre-eclampsia have been observed in some, but not all, studies. We compared volumes of cerebral structures and the number of WMHs between formerly pre-eclamptic women and those with normotensive gestational history and assessed the effect of age on brain volumes. Structural 7-Tesla magnetic resonance imaging of the brain was performed in 59 formerly pre-eclamptic women (aged 37 ± 6 years, 0.5-16 years postpartum) and 20 women with a history of normotensive pregnancy (aged 39 ± 5 years, 1-18 years postpartum). Fazekas scores were obtained to assess WMH load. Volumes of the whole brain, gray and white matter, brain lobes, and ventricular and pericortical cerebrospinal fluid (CSF) spaces were calculated after semiautomatic segmentation. Group differences were analyzed using ANCOVA and Bayes factors. Results were adjusted for age, educational attainment, presence of current hypertension and total intracranial volume. The effect of age on cerebral volumes was analyzed using linear regression analysis. No changes in global and local brain volumes were observed between formerly pre-eclamptic and control women. Also, no difference in WMH load was observed. Independent of pre-eclamptic history, gray-matter volume significantly decreased with age, while ventricular and pericortical CSF space volumes significantly increased with age. Volumetric changes of the cerebrum are age-related but are independent of pre-eclamptic history in the first two decades after childbirth. No evidence of greater WMH load after pre-eclampsia was found. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
115-121Subventions
Organisme : Brains Unlimeted Pioneer Fund
ID : S.2016.1.06
Organisme : Stimulation Fund (Stimuleringsfonds FHML) of the Maastricht University
Informations de copyright
© 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Références
Sibai B, Dekker G, Kupferminc M, Way AS. Pre-eclampsia. Lancet 2005; 365: 785-799.
Miller EC. Preeclampsia and cerebrovascular disease: The maternal brain at risk. Hypertension 2019; 74: 5-13.
Mol BWJ, Roberts CT, Thangaratinam S, Magee LA, Groot CJM De, Hofmeyr GJ. Pre-eclampsia. Lancet 2016; 387: 999-1011.
Bushnell C, Chireau M. Preeclampsia and stroke: risks during and after pregnancy. Stroke Res Treat 2011; 2011: 858134.
Abalos E, Cuesta C, Grosso AL, Chou D, Say L. Global and regional estimates of preeclampsia and eclampsia: A systematic review. Eur J Obstet Gynecol Reprod Biol 2013; 170: 1-7.
Brown MC, Best KE, Pearce MS, Waugh J, Robson SC, Bell R. Cardiovascular disease risk in women with pre-eclampsia: Systematic review and meta-analysis. Eur J Epidemiol 2013; 28: 1-19.
Logue OC, George EM, Bidwell lll GL. Preeclampsia and the brain: Neural control of cardiovascular changes during pregnancy and neurological outcomes of preeclampsia. Clin Sci 2016; 130: 1417-1434.
Canjels LPW, Jansen JFA, Alers RJ, Ghossein-Doha C, van den Kerkhof M, Schiffer VMMM, Mulder E, Gerretsen SC, Aldenkamp AP, Hurks PPM, van de Ven V, Spaanderman MEA, Backes WH. Blood-brain barrier leakage years after pre-eclampsia: dynamic contrast-enhanced 7-Tesla MRI study. Ultrasound Obstet Gynecol 2022; 60: 541-548.
Aljondi R, Szoeke C, Steward C, Yates P, Desmond P. A decade of changes in brain volume and cognition. Brain Imaging Behav 2019; 13: 554-563.
Koolschijn MP, Haren NEM Van, Lensvelt-mulders GJLM, Pol HEH. Brain volume abnormalities in major depressive disorder: A meta-analysis of magnetic resonance imaging studies. Hum Brain Mapp 2009; 30: 3719-3735.
Prins ND, Scheltens P. White matter hyperintensities, cognitive impairment and dementia: An update. Nat Rev Neurol 2015; 11: 157-165.
Mielke MM, Milic NM, Weissgerber TL, White WM, Kantarci K, Mosley TH, Windham G, Simpson BN, Turner ST, Garovic VD. Impaired cognition and brain atrophy decades after hypertensive pregnancy disorders. Circ Cardiovasc Qual Outcomes 2016; 9: S70-S76.
Siepmann T, Boardman H, Bilderbeck A, Griffanti L, Kenworthy Y, Zwager C, McKean D, Francis J, Neubauer S, Yu GZ, Lewandowski AJ, Bergmann Sverrisdottir Y, Leeson P. Long-term cerebral white and gray matter changes after preeclampsia. Neurology 2017; 88: 1256-1264.
Postma IR, Bouma A, De Groot JC, Aukes AM, Aarnoudse JG, Zeeman GG. Cerebral white matter lesions, subjective cognitive failures and objective neurocognitive functioning: A follow-up study in women after hypertensive disorders of pregnancy. J Clin Exp Neuropsychol 2016; 38: 585-598.
Oatridge A, Holdcroft A, Saeed N, Hajnal J V, Puri BK, Fusi L, Bydder GM. Change in brain size during and after pregnancy: Study in healthy women and women with preeclampsia. Am J Neuroradiol 2002; 23: 19-26.
Raman MR, Tosakulwong N, Zuk SM, Senjem ML, White WM, Fields JA, Mielke MM, Lesnick TG, Bailey KR, Jack Jr CR, Miller VM, Garovic VD, Kantarci K. Influence of preeclampsia and late-life hypertension on MRI measures of cortical atrophy. J Hypertens 2017; 35: 2479-2485.
Unesco. The International Standard Classification of Education (ISCED). 2012.
Fazekas F, Kleinert R, Offenbacher H, Schmidt R, Kleinert G, Payer F, Radner H, Lechner H. Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 1993; 43: 1683-1689.
Haast RAM, Ivanov D, Uludağ K. The impact of B1+ correction on MP2RAGE cortical T1 and apparent cortical thickness at 7T. Hum Brain Mapp 2018; 39: 2412-2425.
Fischl B, Salat DH, Busa E, Albert M, Dieterich M, Haselgrove C, Van Der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale AM. Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron 2002; 33: 341-355.
Mega MS, Cummings JL, Salloway S, Malloy P. The limbic system: An anatomic, phylogenetic and clinical perspective. J Neuropsychiatr 1997; 9: 315-330.
Salzman CD, Fusi S. Emotion, cognition and mental state representation in amygdala and prefrontal cortex. Annu Rev Neurosci 2010; 33: 173-202.
Canjels LPW, Ghossein-Doha C, Alers RJ, Rutten S, van den Kerkhof M, Schiffer VMMM, Mulder E, Gerretsen SC, Aldenkamp AP, Hurks PPM, van de Ven V, Spaanderman MEA, Jansen JFA, Backes WH. Functional connectivity of limbic system and prefrontal cortex years after pre-eclampsia: 7-Tesla functional magnetic resonance imaging study. Ultrasound Obstet Gynecol 2022; 60: 532-540.
Wagenmakers EJ, Love J, Marsman M, Jamil T, Ly A, Verhagen J, Selker R, Gronau QF. Bayesian inference for psychology. Part II : Example applications with JASP. Psychon Bull Rev 2018; 25: 58-76.
Team J. Jasp (Version 0.14.1). Published online 2020.
Guo C, Ferreira D, Fink K, Westman E, Granberg T. Repeatability and reproducibility of FreeSurfer, FSL-SIENAX and SPM brain volumetric measurements and the effect of lesion filling in multiple sclerosis. Eur Radiol 2019; 29: 1355-1364.
Peters R. Ageing and the brain. Postgr Med J 2005; 85: 84-88.
Scahill RI, Frost C, Jenkins R, Whitwell JL, Rossor MN, Fox NC. A longitudinal study of brain volume changes in normal aging using serial registered Magnetic Resonance Imaging. Arch Neurol 2003; 60: 989-994.
Gur RC, Mozley PD, Resnick SM, Gottlieb GL, Kohni M, Zimmermant R, Hermant G, Atlast S, Grossmanf R, Berretta D, Erwin R, Gur RE. Gender differences in age effect on brain atrophy measured by magnetic resonance imaging. Proc Natl Acad Sci USA 1991; 88: 2845-2849.
Lüders E, Steinmetz H, Jäncke L. Brain size and grey matter volume in the healthy human brain. Neuroreport 2002; 13: 2371-2374.
Boller B, Mellah S, Ducharme-Laliberté G, Belleville S. Relationships between years of education, regional grey matter volumes, and working memory-related brain activity in healthy older adults. Brain Imaging Behav 2017; 11: 304-317.
Wiegman MJ, Zeeman GG, Aukes AM, Bolte AC, Faas MM, Aarnoudse JG, De Groot JC. Regional distribution of cerebral white matter lesions years after preeclampsia and eclampsia. Obstet Gynecol 2014; 123: 790-795.
Aukes AM, De Groot JC, Wiegman MJ, Aarnoudse JG, Sanwikarja GS, Zeeman GG. Long-term cerebral imaging after pre-eclampsia. BJOG 2012; 119: 1117-1122.
Soma-Pillay P, Suleman FE, Makin JD, Pattinson RC. Cerebral white matter lesions after pre-eclampsia. Pregnancy Hypertens 2017; 8: 15-20.
Mosconi L, Berti V, Dyke J, Schelbaum E, Jett S, Loughlin L, Jang G, Rahman A, Hristov H, Pahlajani S, Andrews R, Matthews D, Etingin O, Ganzer C, de Leon M, Isaacson R, Brinton RD. Menopause impacts human brain structure, connectivity, energy metabolism, and amyloid-beta deposition. Sci Rep 2021; 11: 10867.