Sara Elizabeth Berman
University of Wisconsin-Madison
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Publication
Featured researches published by Sara Elizabeth Berman.
Journal of Cerebral Blood Flow and Metabolism | 2016
Leonardo A. Rivera-Rivera; Patrick A. Turski; Kevin M. Johnson; Carson Hoffman; Sara Elizabeth Berman; Phillip Kilgas; Howard A. Rowley; Cynthia M. Carlsson; Sterling C. Johnson; Oliver Wieben
Cerebral blood flow, arterial pulsation, and vasomotion play important roles in the transport of waste metabolites out of the brain. Impaired vasomotion results in reduced driving force for the perivascular/glymphatic clearance of beta-amyloid. Noninvasive cerebrovascular characteristic features that potentially assess these transport mechanisms are mean blood flow (MBF) and pulsatility index (PI). In this study, 4D flow MRI was used to measure intra-cranial flow features, particularly MBF, PI, resistive index (RI) and cross-sectional area in patients with Alzheimer’s disease (AD), mild cognitive impairment and in age matched and younger cognitively healthy controls. Three-hundred fourteen subjects participated in this study. Volumetric, time-resolved phase contrast (PC) MRI data were used to quantify hemodynamic parameters from 11 vessel segments. Anatomical variants of the Circle of Willis were also cataloged. The AD population reported a statistically significant decrease in MBF and cross-sectional area, and also an increase in PI and RI compared to age matched cognitively healthy control subjects. The 4D flow MRI technique used in this study provides quantitative measurements of intracranial vessel geometry and the velocity of flow. Cerebrovascular characteristics features of vascular health such as pulsatility index can be extracted from the 4D flow MRI data.
NeuroImage: Clinical | 2015
Sara Elizabeth Berman; Xiao Wang; Carol Mitchell; Bornali Kundu; Daren C. Jackson; Stephanie M. Wilbrand; Tomy Varghese; Bruce P. Hermann; Howard A. Rowley; Sterling C. Johnson; Robert J. Dempsey
Higher local carotid artery strain has previously been shown to be a characteristic of unstable carotid plaques. These plaques may be characterized by microvascular changes that predispose to intraplaque hemorrhage, increasing the likelihood of embolization. Little is known however, about how these strain indices correspond with imaging markers of brain health and metrics of brain structure. White matter hyperintensities (WMHs), which are bright regions seen on T2-weighted brain MRI imaging, are postulated to result from cumulative ischemic vascular injury. Consequently, we hypothesized that plaques that are more prone to microvascular changes and embolization, represented by higher strain indices on ultrasound, would be associated with an increased amount of WMH lesion volume. This relationship would suggest not only emboli as a cause for the brain degenerative changes, but more importantly, a common microvascular etiology for large and small vessel contributions to this process. Subjects scheduled to undergo a carotid endarterectomy were recruited from a neurosurgery clinic. Prior to surgery, participating subjects underwent both ultrasound strain imaging and brain MRI scans as part of a larger clinical study on vascular health and cognition. A linear regression found that maximum absolute strain and peak to peak strain in the surgical side carotid artery were predictive of WMH burden. Furthermore, the occurrence of microembolic signals monitored using transcranial Doppler (TCD) ultrasound examinations also correlated with increasing lesion burden. It is becoming increasingly recognized that cognitive decline is often multifactorial in nature. One contributing extra-brain factor may be changes in the microvasculature that produce unstable carotid artery plaques. In this study, we have shown that higher strain indices in carotid artery plaques are significantly associated with an increased WMH burden, a marker of vascular mediated brain damage.
Journal of Neurosurgery | 2018
Robert J. Dempsey; Tomy Varghese; Daren C. Jackson; Xiao Wang; Nirvedh H. Meshram; Carol Mitchell; Bruce P. Hermann; Sterling C. Johnson; Sara Elizabeth Berman; Stephanie M. Wilbrand
OBJECTIVE This article describes the use of ultrasound measurements of physical strain within carotid atherosclerotic plaques as a measure of instability and the potential for vascular cognitive decline, microemboli, and white matter changes. METHODS Asymptomatic patients with significant (> 60%) carotid artery stenosis were studied for dynamic measures of plaque instability, presence of microemboli, white matter changes, and vascular cognitive decline in comparison with normative controls and premorbid state. RESULTS Although classically asymptomatic, these patients showed vascular cognitive decline. The degree of strain instability measured within the atherosclerotic plaque directly predicted vascular cognitive decline in these patients thought previously to be asymptomatic according to classic criteria. Furthermore, 26% of patients showed microemboli, and patients had twice as much white matter hyperintensity as controls. CONCLUSIONS These data show that physical measures of plaque instability are possible through interpretation of ultrasound strain data during pulsation, which may be more clinically relevant than solely measuring degree of stenosis. The data also highlight the importance of understanding that the definition of symptoms should not be limited to motor, speech, and vision function but underscore the role of vascular cognitive decline in the pathophysiology of carotid atherosclerotic disease. Clinical trial registration no.: NCT02476396 (clinicaltrials.gov).
Brain | 2016
Annie M. Racine; Rebecca L. Koscik; Sara Elizabeth Berman; Christopher R. Nicholas; Lindsay R. Clark; Ozioma C. Okonkwo; Howard A. Rowley; Sanjay Asthana; Barbara B. Bendlin; Kaj Blennow; Henrik Zetterberg; Carey E. Gleason; Cynthia M. Carlsson; Sterling C. Johnson
The ability to detect preclinical Alzheimers disease is of great importance, as this stage of the Alzheimers continuum is believed to provide a key window for intervention and prevention. As Alzheimers disease is characterized by multiple pathological changes, a biomarker panel reflecting co-occurring pathology will likely be most useful for early detection. Towards this end, 175 late middle-aged participants (mean age 55.9 ± 5.7 years at first cognitive assessment, 70% female) were recruited from two longitudinally followed cohorts to undergo magnetic resonance imaging and lumbar puncture. Cluster analysis was used to group individuals based on biomarkers of amyloid pathology (cerebrospinal fluid amyloid-β42/amyloid-β40 assay levels), magnetic resonance imaging-derived measures of neurodegeneration/atrophy (cerebrospinal fluid-to-brain volume ratio, and hippocampal volume), neurofibrillary tangles (cerebrospinal fluid phosphorylated tau181 assay levels), and a brain-based marker of vascular risk (total white matter hyperintensity lesion volume). Four biomarker clusters emerged consistent with preclinical features of (i) Alzheimers disease; (ii) mixed Alzheimers disease and vascular aetiology; (iii) suspected non-Alzheimers disease aetiology; and (iv) healthy ageing. Cognitive decline was then analysed between clusters using longitudinal assessments of episodic memory, semantic memory, executive function, and global cognitive function with linear mixed effects modelling. Cluster 1 exhibited a higher intercept and greater rates of decline on tests of episodic memory. Cluster 2 had a lower intercept on a test of semantic memory and both Cluster 2 and Cluster 3 had steeper rates of decline on a test of global cognition. Additional analyses on Cluster 3, which had the smallest hippocampal volume, suggest that its biomarker profile is more likely due to hippocampal vulnerability and not to detectable specific volume loss exceeding the rate of normal ageing. Our results demonstrate that pathology, as indicated by biomarkers, in a preclinical timeframe is related to patterns of longitudinal cognitive decline. Such biomarker patterns may be useful for identifying at-risk populations to recruit for clinical trials.
Journal of Cerebral Blood Flow and Metabolism | 2017
Leonardo A. Rivera-Rivera; Tilman Schubert; Patrick A. Turski; Kevin M. Johnson; Sara Elizabeth Berman; Howard A. Rowley; Cynthia M. Carlsson; Sterling C. Johnson; Oliver Wieben
Cerebral blood flow, arterial pulsation, and vasomotion may be important indicators of cerebrovascular health in aging and diseases of aging such as Alzheimer’s disease. Noninvasive markers that assess these characteristics may be helpful in the study of co-occurrence of these diseases and potential additive and interacting effects. In this study, 4D flow MRI was used to measure intra-cranial flow features with cardiac-gated phase contrast MRI in cranial arteries and veins. Mean blood flow and pulsatility index as well as the transit time of the peak flow from the middle cerebral artery to the superior sagittal sinus were measured in a total of 104 subjects comprising of four groups: (a) subjects with Alzheimer’s disease, (b) age-matched controls, (c) subjects with mild cognitive impairment, and (d) a group of late middle-aged with parental history of sporadic Alzheimer’s disease. The Alzheimer’s disease group exhibited: a significant decrease in mean blood flow in the superior sagittal sinus, transverse sinus, middle cerebral artery, and internal carotid arteries; a significant decrease of the peak and end diastolic blood flow in the middle cerebral artery and superior sagittal sinus; a faster transmission of peak flow from the middle cerebral artery to the superior sagittal sinus and increased pulsatility index along the carotid siphon.
Journal of Cerebral Blood Flow and Metabolism | 2017
Siobhan M. Hoscheidt; J. Mikhail Kellawan; Sara Elizabeth Berman; Leonardo A. Rivera-Rivera; Rachel A. Krause; Jennifer M. Oh; Michal Schnaider Beeri; Howard A. Rowley; Oliver Wieben; Cynthia M. Carlsson; Sanjay Asthana; Sterling C. Johnson; William G. Schrage; Barbara B. Bendlin
Insulin resistance (IR) is associated with poor cerebrovascular health and increased risk for dementia. Little is known about the unique effect of IR on both micro- and macrovascular flow particularly in midlife when interventions against dementia may be most effective. We examined the effect of IR as indexed by the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) on cerebral blood flow in macro- and microvessels utilizing magnetic resonance imaging (MRI) among cognitively asymptomatic middle-aged individuals. We hypothesized that higher HOMA-IR would be associated with reduced flow in macrovessels and lower cortical perfusion. One hundred and twenty cognitively asymptomatic middle-aged adults (57 ± 5 yrs) underwent fasting blood draw, phase contrast-vastly undersampled isotropic projection reconstruction (PC VIPR) MRI, and arterial spin labeling (ASL) perfusion. Higher HOMA-IR was associated with lower arterial blood flow, particularly within the internal carotid arteries (ICAs), and lower cerebral perfusion in several brain regions including frontal and temporal lobe regions. Higher blood flow in bilateral ICAs predicted greater cortical perfusion in individuals with lower HOMA-IR, a relationship not observed among those with higher HOMA-IR. Findings provide novel evidence for an uncoupling of macrovascular blood flow and microvascular perfusion among individuals with higher IR in midlife.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2015
Sara Elizabeth Berman; Leonardo A. Rivera-Rivera; Lindsay R. Clark; Annie M. Racine; Jon G. Keevil; Lisa C. Bratzke; Cynthia M. Carlsson; Barbara B. Bendlin; Howard A. Rowley; Kaj Blennow; Henrik Zetterberg; Sanjay Asthana; Patrick A. Turski; Sterling C. Johnson; Oliver Wieben
Although cerebrovascular disease has long been known to co‐occur with Alzheimers disease (AD), recent studies suggest an etiologic contribution to AD pathogenesis. We used four dimensional (4D)‐flow magnetic resonance imaging (MRI) to evaluate blood flow and pulsatility indices in the circle of Willis. We hypothesized decreased mean blood flow and increased pulsatility, metrics indicative of poor vascular health, would be associated with cerebral atrophy and an AD cerebrospinal fluid (CSF) profile.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2018
Sterling C. Johnson; Rebecca L. Koscik; Erin Jonaitis; Lindsay R. Clark; Kimberly D. Mueller; Sara Elizabeth Berman; Barbara B. Bendlin; Corinne D. Engelman; Ozioma C. Okonkwo; Kirk Hogan; Sanjay Asthana; Cynthia M. Carlsson; Bruce P. Hermann; Mark A. Sager
The Wisconsin Registry for Alzheimers Prevention is a longitudinal observational cohort study enriched with persons with a parental history (PH) of probable Alzheimers disease (AD) dementia. Since late 2001, Wisconsin Registry for Alzheimers Prevention has enrolled 1561 people at a mean baseline age of 54 years. Participants return for a second visit 4 years after baseline, and subsequent visits occur every 2 years. Eighty‐one percent (1270) of participants remain active in the study at a current mean age of 64 and 9 years of follow‐up. Serially assessed cognition, self‐reported medical and lifestyle histories (e.g., diet, physical and cognitive activity, sleep, and mood), laboratory tests, genetics, and linked studies comprising molecular imaging, structural imaging, and cerebrospinal fluid data have yielded many important findings. In this cohort, PH of probable AD is associated with 46% apolipoprotein E (APOE) ε4 positivity, more than twice the rate of 22% among persons without PH. Subclinical or worse cognitive decline relative to internal normative data has been observed in 17.6% of the cohort. Twenty‐eight percent exhibit amyloid and/or tau positivity. Biomarker elevations, but not APOE or PH status, are associated with cognitive decline. Salutary health and lifestyle factors are associated with better cognition and brain structure and lower AD pathophysiologic burden. Of paramount importance is establishing the amyloid and tau AD endophenotypes to which cognitive outcomes can be linked. Such data will provide new knowledge on the early temporal course of AD pathophysiology and inform the design of secondary prevention clinical trials.
Brain Imaging and Behavior | 2017
Annie M. Racine; Andrew P. Merluzzi; Nagesh Adluru; Derek L. Norton; Rebecca L. Koscik; Lindsay R. Clark; Sara Elizabeth Berman; Christopher R. Nicholas; Sanjay Asthana; Andrew L. Alexander; Kaj Blennow; Henrik Zetterberg; Won Hwa Kim; Vikas Singh; Cynthia M. Carlsson; Barbara B. Bendlin; Sterling C. Johnson
Alzheimer’s disease (AD) is characterized by substantial neurodegeneration, including both cortical atrophy and loss of underlying white matter fiber tracts. Understanding longitudinal alterations to white matter may provide new insights into trajectories of brain change in both healthy aging and AD, and fluid biomarkers may be particularly useful in this effort. To examine this, 151 late-middle-aged participants enriched with risk for AD with at least one lumbar puncture and two diffusion tensor imaging (DTI) scans were selected for analysis from two large observational and longitudinally followed cohorts. Cerebrospinal fluid (CSF) was assayed for biomarkers of AD-specific pathology (phosphorylated-tau/Aβ42 ratio), axonal degeneration (neurofilament light chain protein, NFL), dendritic degeneration (neurogranin), and inflammation (chitinase-3-like protein 1, YKL-40). Linear mixed effects models were performed to test the hypothesis that biomarkers for AD, neurodegeneration, and inflammation, or two-year change in those biomarkers, would be associated with worse white matter health overall and/or progressively worsening white matter health over time. At baseline in the cingulum, phosphorylated-tau/Aβ42 was associated with higher mean diffusivity (MD) overall (intercept) and YKL-40 was associated with increases in MD over time. Two-year change in neurogranin was associated with higher mean diffusivity and lower fractional anisotropy overall (intercepts) across white matter in the entire brain and in the cingulum. These findings suggest that biomarkers for AD, neurodegeneration, and inflammation are potentially important indicators of declining white matter health in a cognitively healthy, late-middle-aged cohort.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | 2017
Lindsay R. Clark; Sara Elizabeth Berman; Leonardo A. Rivera-Rivera; Siobhan M. Hoscheidt; Burcu F. Darst; Corinne D. Engelman; Howard A. Rowley; Cynthia M. Carlsson; Sanjay Asthana; Patrick A. Turski; Oliver Wieben; Sterling C. Johnson
Capillary hypoperfusion is reported in asymptomatic adults at‐risk for Alzheimers disease (AD), but the extent that can be explained by reduced flow in intracranial arteries is unknown.