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BACKGROUND: Stroke survivors are at an increased risk of developing post-stroke cognitive impairment and post-stroke dementia; those at risk could be identified by brain imaging routinely performed at stroke onset. AIM: This systematic review aimed to identify features which are associated with post-stroke cognitive impairment (including dementia), on magnetic resonance imaging (MRI) performed at stroke diagnosis. SUMMARY OF REVIEW: We searched the literature from inception to January 2022 and identified 10,284 records. We included studies that performed MRI at the time of stroke (0-30 days after a stroke) and assessed cognitive outcome at least three months after stroke. We synthesised findings from 26 papers, comprising 27 stroke-populations (N=13,114, average age range=40-80 years, 19-62% female). When data were available, we pooled unadjusted (ORu) and adjusted (ORa) odds ratios.We found associations between cognitive outcomes and presence of cerebral atrophy (3 studies, N=453, ORu=2.48, 95%CI=1.15-4.62), presence of microbleeds (2 studies, N=9151, ORa=1.36, 95%CI=1.08-1.70), and increasing severity of white matter hyperintensities (3 studies, N=704, ORa=1.26, 95%CI=1.06-1.49). Increasing cerebral small vessel disease score was associated with cognitive outcome following unadjusted analysis only (2 studies, N=499, ORu=1.34, 95%CI=1.12-1.61; 3 studies, N=950, ORa=1.23, 95%CI=0.96-1.57). Associations remained after controlling for pre-stroke cognitive impairment. We did not find associations between other stroke features and cognitive outcome, or there were insufficient data. CONCLUSIONS: Acute stroke MRI features may enable healthcare professionals to identify patients at risk of post-stroke cognitive problems. However, there is still substantial uncertainty about the prognostic utility of acute MRI for this.

BACKGROUND: Stroke survivors are at an increased risk of developing post-stroke cognitive impairment and post-stroke dementia; those at risk could be identified by brain imaging routinely performed at stroke onset. AIM: This systematic review aimed to identify features which are associated with post-stroke cognitive impairment (including dementia), on magnetic resonance imaging (MRI) performed at stroke diagnosis. SUMMARY OF REVIEW: We searched the literature from inception to January 2022 and identified 10,284 records. We included studies that performed MRI at the time of stroke (0-30 days after a stroke) and assessed cognitive outcome at least three months after stroke. We synthesised findings from 26 papers, comprising 27 stroke-populations (N=13,114, average age range=40-80 years, 19-62% female). When data were available, we pooled unadjusted (ORu) and adjusted (ORa) odds ratios.We found associations between cognitive outcomes and presence of cerebral atrophy (3 studies, N=453, ORu=2.48, 95%CI=1.15-4.62), presence of microbleeds (2 studies, N=9151, ORa=1.36, 95%CI=1.08-1.70), and increasing severity of white matter hyperintensities (3 studies, N=704, ORa=1.26, 95%CI=1.06-1.49). Increasing cerebral small vessel disease score was associated with cognitive outcome following unadjusted analysis only (2 studies, N=499, ORu=1.34, 95%CI=1.12-1.61; 3 studies, N=950, ORa=1.23, 95%CI=0.96-1.57). Associations remained after controlling for pre-stroke cognitive impairment. We did not find associations between other stroke features and cognitive outcome, or there were insufficient data. CONCLUSIONS: Acute stroke MRI features may enable healthcare professionals to identify patients at risk of post-stroke cognitive problems. However, there is still substantial uncertainty about the prognostic utility of acute MRI for this.

BACKGROUND: Stroke survivors are at an increased risk of developing post-stroke cognitive impairment and post-stroke dementia; those at risk could be identified by brain imaging routinely performed at stroke onset. AIM: This systematic review aimed to identify features which are associated with post-stroke cognitive impairment (including dementia), on magnetic resonance imaging (MRI) performed at stroke diagnosis. SUMMARY OF REVIEW: We searched the literature from inception to January 2022 and identified 10,284 records. We included studies that performed MRI at the time of stroke (0-30 days after a stroke) and assessed cognitive outcome at least three months after stroke. We synthesised findings from 26 papers, comprising 27 stroke-populations (N=13,114, average age range=40-80 years, 19-62% female). When data were available, we pooled unadjusted (ORu) and adjusted (ORa) odds ratios.We found associations between cognitive outcomes and presence of cerebral atrophy (3 studies, N=453, ORu=2.48, 95%CI=1.15-4.62), presence of microbleeds (2 studies, N=9151, ORa=1.36, 95%CI=1.08-1.70), and increasing severity of white matter hyperintensities (3 studies, N=704, ORa=1.26, 95%CI=1.06-1.49). Increasing cerebral small vessel disease score was associated with cognitive outcome following unadjusted analysis only (2 studies, N=499, ORu=1.34, 95%CI=1.12-1.61; 3 studies, N=950, ORa=1.23, 95%CI=0.96-1.57). Associations remained after controlling for pre-stroke cognitive impairment. We did not find associations between other stroke features and cognitive outcome, or there were insufficient data. CONCLUSIONS: Acute stroke MRI features may enable healthcare professionals to identify patients at risk of post-stroke cognitive problems. However, there is still substantial uncertainty about the prognostic utility of acute MRI for this.

BACKGROUND: Stroke survivors are at an increased risk of developing post-stroke cognitive impairment and post-stroke dementia; those at risk could be identified by brain imaging routinely performed at stroke onset. AIM: This systematic review aimed to identify features which are associated with post-stroke cognitive impairment (including dementia), on magnetic resonance imaging (MRI) performed at stroke diagnosis. SUMMARY OF REVIEW: We searched the literature from inception to January 2022 and identified 10,284 records. We included studies that performed MRI at the time of stroke (0-30 days after a stroke) and assessed cognitive outcome at least three months after stroke. We synthesised findings from 26 papers, comprising 27 stroke-populations (N=13,114, average age range=40-80 years, 19-62% female). When data were available, we pooled unadjusted (ORu) and adjusted (ORa) odds ratios.We found associations between cognitive outcomes and presence of cerebral atrophy (3 studies, N=453, ORu=2.48, 95%CI=1.15-4.62), presence of microbleeds (2 studies, N=9151, ORa=1.36, 95%CI=1.08-1.70), and increasing severity of white matter hyperintensities (3 studies, N=704, ORa=1.26, 95%CI=1.06-1.49). Increasing cerebral small vessel disease score was associated with cognitive outcome following unadjusted analysis only (2 studies, N=499, ORu=1.34, 95%CI=1.12-1.61; 3 studies, N=950, ORa=1.23, 95%CI=0.96-1.57). Associations remained after controlling for pre-stroke cognitive impairment. We did not find associations between other stroke features and cognitive outcome, or there were insufficient data. CONCLUSIONS: Acute stroke MRI features may enable healthcare professionals to identify patients at risk of post-stroke cognitive problems. However, there is still substantial uncertainty about the prognostic utility of acute MRI for this.

In recent years, there has been a growing appreciation for the value of modelling planetary atmospheres at varying levels of complexity. This ‘hierarchical modelling’ bridges the gap between theory and fully-comprehensive simulations, and builds physical understanding in a way that is not possible with either one of these alone. Improving understanding of planetary atmospheric dynamics through hierarchical modelling places the circulation patterns seen in Earth’s atmosphere in a broader context, and allows deeper insight into which planetary parameters play a key role in driving circulation. This thesis uses an idealised modelling framework to study how both physical processes and planetary parameters impact large-scale atmospheric circulation, with a focus on polar vortices. First, the modelling framework and reanalysis datasets are employed to study Mars’s present-day northern polar vortex. The annularity of this vortex is surprising: such a morphology is expected to be unstable, so its persistence indicates the presence of a restoring mechanism. Here, a process-attribution study investigates the relative roles of possible such mechanisms and compares results to reanalyses. The modelling framework is subsequently utilised to investigate both northern and southern Martian polar vortices across a range of possible orbital configurations. Mars’s orbital parameters have varied substantially across its history; these changes may be linked to the formation of the polar layered deposits. Effective diffusivity, a geometric method used to quantify mixing, is calculated for the first time in Mars’s atmosphere in order to quantify the extent to which the polar vortices may act as transport barriers. Finally, motivated by exoplanetary atmospheres, the range of planetary parameters studied is broadened further still to investigate the relationships between dynamical metrics for tropical width. Given the uncertainty concerning relationships between these metrics

BACKGROUND: Stroke survivors are at an increased risk of developing post-stroke cognitive impairment and post-stroke dementia; those at risk could be identified by brain imaging routinely performed at stroke onset. AIM: This systematic review aimed to identify features which are associated with post-stroke cognitive impairment (including dementia), on magnetic resonance imaging (MRI) performed at stroke diagnosis. SUMMARY OF REVIEW: We searched the literature from inception to January 2022 and identified 10,284 records. We included studies that performed MRI at the time of stroke (0-30 days after a stroke) and assessed cognitive outcome at least three months after stroke. We synthesised findings from 26 papers, comprising 27 stroke-populations (N=13,114, average age range=40-80 years, 19-62% female). When data were available, we pooled unadjusted (ORu) and adjusted (ORa) odds ratios.We found associations between cognitive outcomes and presence of cerebral atrophy (3 studies, N=453, ORu=2.48, 95%CI=1.15-4.62), presence of microbleeds (2 studies, N=9151, ORa=1.36, 95%CI=1.08-1.70), and increasing severity of white matter hyperintensities (3 studies, N=704, ORa=1.26, 95%CI=1.06-1.49). Increasing cerebral small vessel disease score was associated with cognitive outcome following unadjusted analysis only (2 studies, N=499, ORu=1.34, 95%CI=1.12-1.61; 3 studies, N=950, ORa=1.23, 95%CI=0.96-1.57). Associations remained after controlling for pre-stroke cognitive impairment. We did not find associations between other stroke features and cognitive outcome, or there were insufficient data. CONCLUSIONS: Acute stroke MRI features may enable healthcare professionals to identify patients at risk of post-stroke cognitive problems. However, there is still substantial uncertainty about the prognostic utility of acute MRI for this.

Background Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions and management. Structural computed tomography neuroimaging is routine in acute stroke, and may identify those at risk of post-stroke dementia or post-stroke cognitive impairment (PSCI). Aim To systematically review the literature to identify which stroke or pre-stroke features on brain computed tomography scans, performed at the time of stroke, are associated with post-stroke dementia or PSCI. Summary of review We searched electronic databases to December 2020. We included studies reporting acute stroke brain computed tomography, and later diagnosis of a cognitive syndrome. We created summary estimates of size of unadjusted association between computed tomography features and cognition. Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8-78.6 years). Cognitive outcomes were post-stroke dementia (10 studies), PSCI (17 studies), and one study analyzed both. Fifteen studies (N = 2952) reported data suitable for meta-analyses. White matter lesions (WML) (six studies, N = 1054, OR = 2.46, 95% CI = 1.25-4.84), cerebral atrophy (four studies, N = 558, OR = 2.80, 95% CI = 1.21-6.51), and pre-existing stroke lesions (three studies, N = 352, OR = 2.38, 95% CI = 1.06-5.32) were associated with post-stroke dementia. WML (four studies, N = 473, OR = 3.46, 95% CI = 2.17-5.52) were associated with PSCI. Other computed tomography features were either not associated with cognitive outcome, or there were insufficient data. Conclusions Cognitive impairment following stroke is of great concern to patients and carers. Features seen on visual assessment of acute stroke computed tomography brain scans are strongly associated with cognitive outcomes. Clinicians should consider when and how this information should be discussed with stroke survivors.

Background Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions and management. Structural computed tomography neuroimaging is routine in acute stroke, and may identify those at risk of post-stroke dementia or post-stroke cognitive impairment (PSCI). Aim To systematically review the literature to identify which stroke or pre-stroke features on brain computed tomography scans, performed at the time of stroke, are associated with post-stroke dementia or PSCI. Summary of review We searched electronic databases to December 2020. We included studies reporting acute stroke brain computed tomography, and later diagnosis of a cognitive syndrome. We created summary estimates of size of unadjusted association between computed tomography features and cognition. Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8-78.6 years). Cognitive outcomes were post-stroke dementia (10 studies), PSCI (17 studies), and one study analyzed both. Fifteen studies (N = 2952) reported data suitable for meta-analyses. White matter lesions (WML) (six studies, N = 1054, OR = 2.46, 95% CI = 1.25-4.84), cerebral atrophy (four studies, N = 558, OR = 2.80, 95% CI = 1.21-6.51), and pre-existing stroke lesions (three studies, N = 352, OR = 2.38, 95% CI = 1.06-5.32) were associated with post-stroke dementia. WML (four studies, N = 473, OR = 3.46, 95% CI = 2.17-5.52) were associated with PSCI. Other computed tomography features were either not associated with cognitive outcome, or there were insufficient data. Conclusions Cognitive impairment following stroke is of great concern to patients and carers. Features seen on visual assessment of acute stroke computed tomography brain scans are strongly associated with cognitive outcomes. Clinicians should consider when and how this information should be discussed with stroke survivors.

Background Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions and management. Structural computed tomography neuroimaging is routine in acute stroke, and may identify those at risk of post-stroke dementia or post-stroke cognitive impairment (PSCI). Aim To systematically review the literature to identify which stroke or pre-stroke features on brain computed tomography scans, performed at the time of stroke, are associated with post-stroke dementia or PSCI. Summary of review We searched electronic databases to December 2020. We included studies reporting acute stroke brain computed tomography, and later diagnosis of a cognitive syndrome. We created summary estimates of size of unadjusted association between computed tomography features and cognition. Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8-78.6 years). Cognitive outcomes were post-stroke dementia (10 studies), PSCI (17 studies), and one study analyzed both. Fifteen studies (N = 2952) reported data suitable for meta-analyses. White matter lesions (WML) (six studies, N = 1054, OR = 2.46, 95% CI = 1.25-4.84), cerebral atrophy (four studies, N = 558, OR = 2.80, 95% CI = 1.21-6.51), and pre-existing stroke lesions (three studies, N = 352, OR = 2.38, 95% CI = 1.06-5.32) were associated with post-stroke dementia. WML (four studies, N = 473, OR = 3.46, 95% CI = 2.17-5.52) were associated with PSCI. Other computed tomography features were either not associated with cognitive outcome, or there were insufficient data. Conclusions Cognitive impairment following stroke is of great concern to patients and carers. Features seen on visual assessment of acute stroke computed tomography brain scans are strongly associated with cognitive outcomes. Clinicians should consider when and how this information should be discussed with stroke survivors.

Background Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions and management. Structural computed tomography neuroimaging is routine in acute stroke, and may identify those at risk of post-stroke dementia or post-stroke cognitive impairment (PSCI). Aim To systematically review the literature to identify which stroke or pre-stroke features on brain computed tomography scans, performed at the time of stroke, are associated with post-stroke dementia or PSCI. Summary of review We searched electronic databases to December 2020. We included studies reporting acute stroke brain computed tomography, and later diagnosis of a cognitive syndrome. We created summary estimates of size of unadjusted association between computed tomography features and cognition. Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8-78.6 years). Cognitive outcomes were post-stroke dementia (10 studies), PSCI (17 studies), and one study analyzed both. Fifteen studies (N = 2952) reported data suitable for meta-analyses. White matter lesions (WML) (six studies, N = 1054, OR = 2.46, 95% CI = 1.25-4.84), cerebral atrophy (four studies, N = 558, OR = 2.80, 95% CI = 1.21-6.51), and pre-existing stroke lesions (three studies, N = 352, OR = 2.38, 95% CI = 1.06-5.32) were associated with post-stroke dementia. WML (four studies, N = 473, OR = 3.46, 95% CI = 2.17-5.52) were associated with PSCI. Other computed tomography features were either not associated with cognitive outcome, or there were insufficient data. Conclusions Cognitive impairment following stroke is of great concern to patients and carers. Features seen on visual assessment of acute stroke computed tomography brain scans are strongly associated with cognitive outcomes. Clinicians should consider when and how this information should be discussed with stroke survivors.

Background Identifying whether acute stroke patients are at risk of cognitive decline could improve prognostic discussions and management. Structural computed tomography neuroimaging is routine in acute stroke, and may identify those at risk of post-stroke dementia or post-stroke cognitive impairment (PSCI). Aim To systematically review the literature to identify which stroke or pre-stroke features on brain computed tomography scans, performed at the time of stroke, are associated with post-stroke dementia or PSCI. Summary of review We searched electronic databases to December 2020. We included studies reporting acute stroke brain computed tomography, and later diagnosis of a cognitive syndrome. We created summary estimates of size of unadjusted association between computed tomography features and cognition. Of 9536 citations, 28 studies (41 papers) were eligible (N = 7078, mean age 59.8-78.6 years). Cognitive outcomes were post-stroke dementia (10 studies), PSCI (17 studies), and one study analyzed both. Fifteen studies (N = 2952) reported data suitable for meta-analyses. White matter lesions (WML) (six studies, N = 1054, OR = 2.46, 95% CI = 1.25-4.84), cerebral atrophy (four studies, N = 558, OR = 2.80, 95% CI = 1.21-6.51), and pre-existing stroke lesions (three studies, N = 352, OR = 2.38, 95% CI = 1.06-5.32) were associated with post-stroke dementia. WML (four studies, N = 473, OR = 3.46, 95% CI = 2.17-5.52) were associated with PSCI. Other computed tomography features were either not associated with cognitive outcome, or there were insufficient data. Conclusions Cognitive impairment following stroke is of great concern to patients and carers. Features seen on visual assessment of acute stroke computed tomography brain scans are strongly associated with cognitive outcomes. Clinicians should consider when and how this information should be discussed with stroke survivors.

Questions about cultural identity and allegiance are complicated. What makes a person French, French-Canadian or Franco-Ontarian? What is the difference between these various labels? How do demographics, gender, and age impact the ways in which cultural allegiance is created, maintained, or discarded? What defines a person’s membership in a cultural group? Is it one’s ability to speak the language? To make and/or eat cultural foods? If one of these fails to be present, can the person still be a part of the group? In our multicultural country, and especially in rural communities in Northern Ontario where Francophones find themselves to be part of a minority, such questions do not have simple answers. Studying cultural retention in such communities necessitates paying attention to more than just who is speaking French and/or to who is an activist for French rights. It also requires understanding how individual attitudes and behaviours are like and/or unlike those of others and of the larger group. Foodways are one of the specific cultural practices that can tell us about the group. Indeed, traditional foods have been shown to be very political expressions of personal values and opinions. What power does French-Canadian food have over those who make it? What does it tell us about those who claim allegiance to this cultural group? This interdisciplinary case study of Astorville, Ontario, relates to the fields of food studies, cultural studies, history, gender studies, material culture studies, performance studies, and autoethnography. By studying foodways, which are closely connected to heritage, language, religious practices, and rituals, this project seeks to understand how minority groups resist and/or acquiesce to societal pressures to conform to the culture of the majority. Knowing that modernisation and urbanisation have changed the lifestyle of once agricultural communities, that women now participate in the workforce, and that an individual’s personal history is

Questions about cultural identity and allegiance are complicated. What makes a person French, French-Canadian or Franco-Ontarian? What is the difference between these various labels? How do demographics, gender, and age impact the ways in which cultural allegiance is created, maintained, or discarded? What defines a person’s membership in a cultural group? Is it one’s ability to speak the language? To make and/or eat cultural foods? If one of these fails to be present, can the person still be a part of the group? In our multicultural country, and especially in rural communities in Northern Ontario where Francophones find themselves to be part of a minority, such questions do not have simple answers. Studying cultural retention in such communities necessitates paying attention to more than just who is speaking French and/or to who is an activist for French rights. It also requires understanding how individual attitudes and behaviours are like and/or unlike those of others and of the larger group. Foodways are one of the specific cultural practices that can tell us about the group. Indeed, traditional foods have been shown to be very political expressions of personal values and opinions. What power does French-Canadian food have over those who make it? What does it tell us about those who claim allegiance to this cultural group? This interdisciplinary case study of Astorville, Ontario, relates to the fields of food studies, cultural studies, history, gender studies, material culture studies, performance studies, and autoethnography. By studying foodways, which are closely connected to heritage, language, religious practices, and rituals, this project seeks to understand how minority groups resist and/or acquiesce to societal pressures to conform to the culture of the majority. Knowing that modernisation and urbanisation have changed the lifestyle of once agricultural communities, that women now participate in the workforce, and that an individual’s personal history is