Florey Department of Neuroscience and Mental Health - Research Publications
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ItemNo Preview AvailableContinued white matter fibre degeneration over 3 years after ischemic stroke(Wiley, 2021-12)Abstract Background We aimed to chart white matter integrity over 3 years after stroke, to examine if post‐stroke loss of white matter continues to be accelerated compared to control participants. Method We applied a longitudinal “fixel”‐based analysis, sensitive to fibre tract‐specific differences within a voxel, to assess axonal loss in stroke (N=71, 22 women) compared to control participants (N=36, 13 women) across the whole brain. We studied microstructural differences in fibre density and macrostructural (morphological) changes in fibre cross‐section. Result In stroke participants, we observed significantly lower fibre density and cross‐section from 3 months to 3 years. The changes were widespread and affected the corpus callosum, bilateral inferior fronto‐occipital fasciculus, right superior longitudinal fasciculus. Conclusion We conclude that ischemic stroke is associated with extensive and continued neurodegeneration that significantly affects white matter micro and macrostructure across the whole brain. These findings confirm that the deleterious effects of stroke on white matter continue several years following the event.
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ItemNo Preview AvailableComparison of white matter hyperintensity abnormalities and cognitive performance in individuals with low and high cardiovascular risk: Data from the Diabetes and Dementia (D2) study(Wiley, 2021-12)Abstract Background Type 2 diabetes Mellitus (T2DM) is recognised as a major contributor to cognitive decline. People with T2DM demonstrate increased white matter hyperintensity (WMH) abnormalities on MRI compared to control individuals. We investigated associations between a validated vascular risk score: The Framingham Risk Score (FRS), WMH volumes and cognitive function in the Diabetes‐and‐Dementia (D2) study, a longitudinal cohort study of community dwelling people with T2DM. Method One hundred and twenty‐three non‐demented participants with T2DM (age 66.7±6.8 years, range 50‐80, 68M/55F) completed neuropsychological assessments, health questionnaires to allow FRS calculation, 24‐hour ambulatory blood pressure monitoring, and a 3T‐MRI scan. WMH were calculated using the functionality "run‐samseg" in FreeSurfer 7. Quality control on the traced lesions was performed using an in‐house semi‐automated MATLAB tool. Periventricular and deep WMH volumes were estimated based on the edited lesion traces. We divided participants into low (n=61) and high (n=62) FRS groups based on the median score (x=48.7). Differences in WMH volumes were compared between the FRS groups after correcting for sex and age. We compared cognitive performance between low/high FRS individuals across five composite cognitive domains: memory, language, visuospatial skills, executive function, and attention‐and‐processing‐speed. The composite score for each domain was the normalised z‐scores average for the respective tests. Result Participants with high FRS (implicating greater vascular risk) were significantly older (age F(1, 122)=14.97; p<0.001), were less likely to be female (sex χ2=16.73, p<0.001), and tend to have less than 12 years of education (χ2= 3.69, p = 0.041). Relative to individuals with low FRS, those with high FRS showed significantly higher WMH volumes (F(1, 121)=6.11; p=0.015). Significant differences were also identified for periventricular (F(1, 121)=6.16; p=0.014) and deep (F(1, 121)=4.25; p=0.042) WMH volumes. When the cognitive data were analysed, the low FRS group performed signifcantly better than the high FRS group only on the attention‐and‐processing‐speed factor (F(1,115)=5.17; p=0.025). Conclusion High cardiovascular risk, defined as a high FRS, in participants with T2DM was associated with greater WMH volume, a marker of white matter dysfunction, and with deficits in processing speed and attention. Subclinical cognitive deficits were common in our community dwelling cohort without known or preceding cognitive dysfunction.
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ItemNo Preview AvailablePoststroke White Matter Hyperintensities and Physical Activity: A CANVAS Study Exploratory Analysis(LIPPINCOTT WILLIAMS & WILKINS, 2022-09)PURPOSE: White matter hyperintensities (WMHs) are associated with poststroke cognitive decline and mortality. Physical activity (PA) may decrease WMH risk by reducing vascular risk factors and promoting cerebral perfusion. However, the association between poststroke PA and WMH progression remains unclear. We examined the association between PA and WMH volume 12 months after stroke, and between PA and change in WMH volume between 3 and 12 months after stroke. METHODS: We included ischemic stroke survivors from the Cognition And Neocortical Volume After Stroke cohort with available brain magnetic resonance imaging and objective PA data. Total, periventricular, and deep WMH volumes (in milliliters) were estimated with manually edited, automated segmentations (Wisconsin White Matter Hyperintensities Segmentation toolbox). Moderate-to-vigorous intensity PA (MVPA) was estimated using the SenseWear® Armband. Participants with MVPA ≥30 min·d -1 were classified as "meeting PA guidelines." We used quantile regression to estimate the associations between PA (MVPA and meeting PA guidelines) with WMH volume at 12 months and change in WMH volume between 3 and 12 months after stroke. RESULTS: A total of 100 participants were included (median National Institutes of Health Stroke Scale 2; interquartile range, 1-4). MVPA was not associated with WMH volume. In univariable analysis, meeting PA guidelines was associated with lower total, periventricular, and deep WMH volumes by 3.0 mL (95% confidence interval (CI), 0.5-9.7 mL), 2.8 mL (95% CI, 0.5-7.1 mL), and 0.9 mL (95% CI, 0.1-3.0 mL), respectively. However, in multivariable analysis, meeting PA guidelines was not associated with WMH volume, and older age was associated with greater WMH volume at 12 months. PA was not associated with change in WMH volume. CONCLUSIONS: Meeting PA guidelines was associated with lower WMH volume at 12 months in univariable analysis, but not in multivariable analysis. Age consistently predicted greater WMH volume.
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ItemNo Preview AvailableChanges in White Matter Microstructure Over 3 Years in People With and Without Stroke(LIPPINCOTT WILLIAMS & WILKINS, 2023-04-18)BACKGROUND AND OBJECTIVES: Cerebral white matter health can be estimated by MRI-derived indices of microstructure. White matter dysfunction is increasingly recognized as a contributor to neurodegenerative disorders affecting cognition and to functional outcomes after stroke. Reduced indices of white matter microstructure have been demonstrated cross-sectionally in stroke survivors compared with stroke-free participants, but longitudinal changes in the structure of white matter after stroke remain largely unexplored. We aimed to characterize white matter micro- and macrostructure over 3 years after stroke and study associations with white matter metrics and cognitive functions. METHODS: Patients with first-ever or recurrent ischemic stroke of any etiology in any vascular territory were compared with stroke-free age- and sex-matched controls. Those diagnosed with hemorrhagic stroke, TIA, venous infarction, or significant medical comorbidities, psychiatric and neurodegenerative disorders, substance abuse, or history of dementia were excluded. Diffusion-weighted MRI data at 3, 12, and 36 months were analyzed using a longitudinal fixel-based analysis, sensitive to fiber tract-specific differences within a voxel. It was used to examine whole-brain white matter degeneration in stroke compared with control participants. We studied microstructural differences in fiber density and macrostructural changes in fiber-bundle cross-section, in relation to cognitive performance. Analyses were performed controlling for age, intracranial volume, and education (family-wise error-corrected p < 0.05, nonparametric testing over 5,000 permutations). RESULTS: We included 71 participants with stroke (age 66 ± 12 years, 22 women) and 36 controls (age 69 ± 5 years, 13 women). We observed extensive white matter structural degeneration across the whole brain, particularly affecting the thalamic, cerebellar, striatal, and superior longitudinal tracts and corpus callosum. Importantly, follow-up regression analyses in 72 predefined tracts showed that the decline in fiber density and cross-section from 3 months to 3 years was associated with worse cognitive performance at 3 years after stroke, especially affecting visuospatial processing, processing speed, language, and recognition memory. DISCUSSION: We conclude that white matter neurodegeneration in ipsi- and contralesional thalamic, striatal, and cerebellar tracts continues to be greater in stroke survivors compared with stroke-free controls. White matter degeneration persists even years after stroke and is associated with poststroke cognitive impairment. TRIAL REGISTRATION INFORMATION: ClinicalTrails.gov NCT02205424.
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ItemNo Preview AvailablePost-stroke fatigue is associated with resting state posterior hypoactivity and prefrontal hyperactivity(SAGE PUBLICATIONS LTD, 2022-10-01)BACKGROUND: Fatigue is associated with poor functional outcomes and increased mortality following stroke. Survivors identify fatigue as one of their key unmet needs. Despite the growing body of research into post-stroke fatigue, the specific neural mechanisms remain largely unknown. AIM: This observational study aimed to identify resting state brain activity markers of post-stroke fatigue. METHOD: Sixty-three stroke survivors (22 women; age 30-89 years; mean 67.5 ± 13.4 years) from the Cognition And Neocortical Volume After Stroke study, a cohort study examining cognition, mood, and brain volume in stroke survivors following ischemic stroke, underwent brain imaging three months post-stroke, including a 7-minute resting state functional magnetic resonance imaging. We calculated the fractional amplitude of low-frequency fluctuations, which is measured at the whole-brain level and can detect altered spontaneous neural activity of specific regions. RESULTS: Forty-five participants reported experiencing post-stroke fatigue as measured by an item on the Patient Health Questionnaire-9. Fatigued compared to non-fatigued participants demonstrated significantly lower resting-state activity in the calcarine cortex (p < 0.001, cluster-corrected pFDR = 0.009, k = 63) and lingual gyrus (p < 0.001, cluster-corrected pFDR = 0.025, k = 42) and significantly higher activity in the medial prefrontal cortex (p < 0.001, cluster-corrected pFDR = 0.03, k = 45). CONCLUSIONS: Post-stroke fatigue is associated with posterior hypoactivity and prefrontal hyperactivity reflecting dysfunction within large-scale brain systems such as fronto-striatal-thalamic and frontal-occipital networks. These systems in turn might reflect a relationship between post-stroke fatigue and abnormalities in executive and visual functioning. This whole-brain resting-state study provides new targets for further investigation of post-stroke fatigue beyond the lesion approach.
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ItemNo Preview AvailableMood and Cognitive Trajectories Over the First Year after Mild Ischemic Stroke(ELSEVIER, 2022-04)OBJECTIVES: Cognitive and mood dysfunction are major contributors to post-stroke disability. The longer-term trajectories of mood and cognition post-stroke remain unclear, as do which cognitive domains decline, improve, or remain stable after stroke, and in which patients. We aimed to characterize the cognitive trajectories of mild ischemic stroke survivors over one year compared to stroke-free controls, and to investigate whether symptoms of anxiety and depression were associated with cognitive function. MATERIALS AND METHODS: All participants were tested with a neuropsychological test battery at 3-months and 12-months post-stroke, assessing attention/processing speed, memory, visuospatial function, executive function, and language. Anxiety and depression symptomatology were also assessed at both timepoints. RESULTS: Stroke participants (N=126, mean age 68.44 years ±11.83, 87 males, median [Q1, Q3] admission NIHSS=2 [1, 4]) performed worse on cognitive tests and endorsed significantly higher depression and anxiety symptomatology than controls (N=40, mean age=68.82 years ±6.33, 25 males) at both timepoints. Mood scores were not correlated with cognitive performance. Stroke participants' scores trended higher across cognitive domains from 3- to 12-months but statistically significant improvement was only observed on executive function tasks. CONCLUSION: Stroke participants performed significantly worse than controls on all cognitive domains following mild ischemic stroke. Stroke participants only exhibited statistically significant improvement on executive function tasks between 3- and 12- months. Whilst anxiety and depression symptoms were higher in stroke participants, this was not correlated with cognitive performance. Further studies are needed to understand factors underlying cognitive recovery and decline after stroke.
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ItemCortical thinning 3 years after ischaemic stroke is associated with cognitive impairment and APOE? 4(ELSEVIER SCI LTD, 2022)Cortical thinning has been described in many neurodegenerative diseases and used for both diagnosis and disease monitoring. The imaging signatures of post-stroke vascular cognitive impairment have not been well described. We investigated the trajectory of cortical thickness over 3 years following ischaemic stroke compared to healthy stroke-free age- and sex-matched controls. We also compared cortical thickness between cognitively normal and impaired stroke survivors, and between APOE ɛ4 carriers and non-carriers. T1-weighted MRI and cognitive data for 90 stroke survivors and 36 controls from the Cognition And Neocortical Volume After Stroke (CANVAS) study were used. Cortical thickness was estimated using FreeSurfer volumetric reconstruction according to the Desikan-Killiany parcellation atlas. Segmentation inaccuracies were manually corrected and infarcted ipsilesional vertices in cortical thickness maps were identified and excluded using stroke lesion masks traced a-priori. Mixed-effects regression was used to compare cortical thickness cross-sectionally between groups and longitudinally between timepoints. Healthy control and stroke groups did not differ on demographics and most clinical characteristics, though controls were less likely to have atrial fibrillation. Age was negatively associated with global mean cortical thickness independent of sex or group, with women in both groups having significantly thicker cortex. Three months post-stroke, cortical thinning was limited and focal. From 3 months to 3 years, the rate of cortical thinning in stroke was faster compared to that in healthy controls. However, this difference in cortical thinning rate could not survive family-wise correction for multiple comparisons. Yet, cortical thinning at 3 years was found more spread especially in ipsilesional hemispheres in regions implicated in motor, sensory, and memory processing and recovery. The cognitively impaired stroke survivors showed greater cortical thinning, compared to controls, than those who were cognitively normal at 3 years. Also, carriers of the APOE ɛ4 allele in stroke exhibited greater cortical thinning independent of cognitive status. The temporal changes of cortical thickness in both healthy and stroke cohorts followed previously reported patterns of cortical thickness asymmetry loss across the human adult life. However, this loss of thickness asymmetry was amplified in stroke. The post-stroke trajectories of cortical thickness reported in this study may contribute to our understanding of imaging signatures of vascular cognitive impairment.
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ItemLong-term structural brain changes in adult rats after mild ischaemic stroke(OXFORD UNIV PRESS, 2022-07-04)Preclinical studies of remote degeneration have largely focused on brain changes over the first few days or weeks after stroke. Accumulating evidence suggests that neurodegeneration occurs in other brain regions remote to the site of infarction for months and even years following ischaemic stroke. Brain atrophy appears to be driven by both axonal degeneration and widespread brain inflammation. The evolution and duration of these changes are increasingly being described in human studies, using advanced brain imaging techniques. Here, we sought to investigate long-term structural brain changes in a model of mild focal ischaemic stroke following injection of endothlin-1 in adult Long-Evans rats (n = 14) compared with sham animals (n = 10), over a clinically relevant time-frame of 48 weeks. Serial structural and diffusion-weighted MRI data were used to assess dynamic volume and white matter trajectories. We observed dynamic regional brain volume changes over the 48 weeks, reflecting both normal changes with age in sham animals and neurodegeneration in regions connected to the infarct following ischaemia. Ipsilesional cortical volume loss peaked at 24 weeks but was less prominent at 36 and 48 weeks. We found significantly reduced fractional anisotropy in both ipsi- and contralesional motor cortex and cingulum bundle regions of infarcted rats (P < 0.05) from 4 to 36 weeks, suggesting ongoing white matter degeneration in tracts connected to but distant from the stroke. We conclude that there is evidence of significant cortical atrophy and white matter degeneration up to 48 weeks following infarct, consistent with enduring, pervasive stroke-related degeneration.
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ItemNo Preview AvailableInvestigating the microstructural properties of normal-appearing white matter (NAWM) preceding conversion to white matter hyperintensities (WMHs) in stroke survivors(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2021-05-15)Using advanced diffusion MRI, we aimed to assess the microstructural properties of normal-appearing white matter (NAWM) preceding conversion to white matter hyperintensities (WMHs) using 3-tissue diffusion signal compositions in ischemic stroke. Data were obtained from the Cognition and Neocortical Volume After Stroke (CANVAS) study. Diffusion-weighted MR and high-resolution structural brain images were acquired 3- (baseline) and 12-months (follow-up) post-stroke. WMHs were automatically segmented and longitudinal assessment at 12-months was used to retrospectively delineate NAWM voxels at baseline converting to WMHs. NAWM voxels converting to WMHs were further dichotomized into either: "growing" WMHs if NAWM adhered to existing WMH voxels, or "isolated de-novo" WMHs if NAWM was unconnected to WMH voxels identified at baseline. Microstructural properties were assessed using 3-tissue diffusion signal compositions consisting of white matter-like (WM-like: TW), gray matter-like (GM-like: TG), and cerebrospinal fluid-like (CSF-like: TC) signal fractions. Our findings showed that NAWM converting to WMHs already exhibited similar changes in tissue compositions at baseline to WMHs with lower TW and increased TC (fluid-like, i.e. free-water) and TG compared to persistent NAWM. We also found that microstructural properties of persistent NAWM were related to overall WMH burden with greater free-water content in patients with high WMH load. These findings suggest that NAWM preceding conversion to WMHs are accompanied by greater fluid-like properties indicating increased tissue water content. Increased GM-like properties may indicate a more isotropic microstructure of tissue reflecting a degree of hindered diffusion in NAWM regions vulnerable to WMH development. These results support the usefulness of microstructural compositions as a sensitive marker of NAWM vulnerability to WMH pathogenesis.