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Inguanzo, Anna

0000-0003-0879-5875

Mayo Clinic

Karolinska Insitutet.

Citations 2

Sex differences in brain atrophy in dementia with Lewy bodies
Oltra, Javier , Schwarz, Christopher G. , Nedelská, Zuzana , Przybelski, Scott A. , Inguanzo, Anna , Diaz‐Galvan, Patricia , Lowe, Val J. , Oppedal, Ketil , Blanc‬, ‪Frederic, Kramberger, Milica G. , Taylor, John‐Paul , Snædal, Jón , Walker, Zuzana , Westman, Eric , Habich, Annegret , Schwarz, Christopher G , Nedelska, Zuzana , Inguanzo, Anna , Diaz-Galvan, Patricia , Oppedal, Ketil , Lemstra, Afina W , Hort, Jakub , Padovani, Alessandro , Rektorova, Irena , Bonanni, Laura , Massa, Federico , Taylor, John Paul , Snædal, Jon , Walker, Zuzana , Antonini, Angelo , Segura, Barbara , Junque, Carme , Westman, Eric , Boeve, Brad , Aarsland, Dag , Kantarci, Kejal , Ferreira, Daniel , Habich, Annegret , Lemstra, Afina W. , Hort, Jakub , Padovani, Alessandro , Rektorová, Irena , Massa, Federico , Antonini, Angelo , Segura, Bàrbara , Junqué, Carme , Boeve, Bradley F. , Aarsland, Dag , Kantarci, Kejal , Ferreira, Daniel

No container title available | January 27, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2516427/v1 Get It

Abstract Background and objectives. Sex is an important contributing factor to neuroimaging phenotypes in brain disorders. However, little is known about the contribution of sex differences to the neurodegeneration in dementia with Lewy bodies (DLB). We investigated sex differences in probable DLB patients by using both visual rating scales of lobar atrophy and automated estimations of regional atrophy. Methods. We included 442 probable DLB patients from the European-DLB consortium and the Mayo Clinic who have magnetic resonance imaging (MRI) data available. We assessed sex differences and the sex-by-age interaction in two largely independent samples through visual rating scales of lobar atrophy (n = 333; mean age 73 ± 8 years, 62% males) and automated regional estimations of gray matter (GM) volume and mean cortical thickness (CTh) (n = 165; mean age 69 ± 9 years, 72% males). We used binary logistic regression and ANOVA for statistical analysis. Results. We found a statistically significantly higher likelihood of frontal atrophy measured by the global cortical atrophy-frontal subscale (GCA-F) in males (40% of males had an abnormal GCA-F score versus 29% of females, P-value = 0.006). Using automated estimations, we found smaller GM volumes in 6 cortical regions in males compared with females, as well as smaller GM volume in the entorhinal cortex and thinner olfactory cortices in females, compared with males. The sex-by-age interaction showed statistically significant results in 6 cortical volumes and 7 mean CTh estimations (P-value ≤ 0.05), accentuated in the right middle frontal gyrus (FDR-adjusted P-value = 0.047). These cross-sectional interactions indicated that while females have statistically significantly less atrophy than males at younger ages, differences become non-significant at older ages, with females showing the same level of atrophy than males around the age of 75. Conclusions. This study demonstrates sex differences on brain atrophy in probable DLB. While male DLB patients have a more widespread pattern of cortical atrophy at younger ages, these sex differences tend to disappear with increasing age. Longitudinal studies will help establish these cross-sectional findings and inform on sex and age considerations to the use of MRI in clinical routine, as the field moves towards precision medicine.
MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies
Inguanzo, Anna , Przybelski, Scott A. , Diaz‐Galvan, Patricia , Lowe, Val J. , Boeve, Bradley F. , Beek, Marleen van de , Blanc‬, ‪Frederic, Sousa, Paulo Loureiro de , Philippi, Nathalie , Demuynck, Catherine, Nedelská, Zuzana , Oppedal, Ketil , Westman, Eric , Boeve, Brad , Nedelska, Zuzana , Westman, Eric , Inguanzo, Anna , Diaz-Galvan, Patricia , Ferreira, Daniel , Poulakis, Konstantinos , Mohanty, Rosaleena , Schwarz, Christopher G. , Lemstra, Afina W. , Flier, Wiesje M. van der , Barkhof, Frederik , Cretin, Benjamin , Hort, Jakub , Segura, Bàrbara , Junqué, Carme , Aarsland, Dag , Kantarci, Kejal

No container title available | September 19, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-2015284/v1 Get It

Abstract Background. Dementia with Lewy bodies (DLB) is a neurodegenerative disorder with a wide heterogeneity of symptoms, which suggests the existence of different subtypes. Objectives. We used data-driven analysis of MRI data to investigate DLB subtypes. Methods. We included 165 probable DLB from the Mayo Clinic and 3 centers from the European DLB consortium and performed a hierarchical cluster analysis to identify subtypes based on gray matter (GM) volumes. To characterize the subtypes, we used demographic and clinical data, as well as β-amyloid and cerebrovascular biomarkers at baseline, and cognitive decline over three years. Results. We identified 3 subtypes: an older subtype with reduced cortical GM volumes, worse cognition, and faster cognitive decline (n=49, 30%); a subtype with low GM volumes in fronto-occipital regions (n=76, 46%); and a subtype of younger patients with the highest cortical GM volumes, proportionally lower GM volumes in basal ganglia and the highest frequency of cognitive fluctuations (n=40, 24%). Conclusions. This study shows the existence of MRI subtypes in DLB, which may have implications for clinical workout, research, and therapeutic decisions.