Publications by authors named "Nicole McKay"

Article Synopsis
  • The study investigates early Alzheimer's disease changes in the brains of people with Down syndrome and those with genetic variants linked to Alzheimer's, aiming to better understand disease development and improve prevention strategies.
  • Using cross-sectional data from two cohort studies, researchers analyzed tau protein spread and its relationship with amyloid accumulation in participants aged 25 and older.
  • Findings revealed significant differences in the pattern and timing of tau accumulation in the two groups, suggesting implications for early intervention and clinical trials targeting Alzheimer's pathology.
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Objective: We aimed to illustrate how complex cognitive data can be used to create domain-specific and general cognitive composites relevant to Alzheimer disease research.

Method: Using equipercentile equating, we combined data from the Charles F. and Joanne Knight Alzheimer Disease Research Center that spanned multiple iterations of the Uniform Data Set.

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Article Synopsis
  • Researchers studied how tau, a protein linked to Alzheimer’s disease (AD), spreads in the brain and affects different stages of the disease.
  • They looked at data from 445 people aged 50 and older to see how tau spread and tau burden (the amount of tau present) relate to amyloid, another substance related to AD.
  • They found that as Alzheimer’s progresses, both tau spread and burden increase, but tau spread may reveal changes earlier, which can help in designing better clinical trials for treatment.
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Introduction: Amyloidosis, including cerebral amyloid angiopathy, and markers of small vessel disease (SVD) vary across dominantly inherited Alzheimer's disease (DIAD) presenilin-1 (PSEN1) mutation carriers. We investigated how mutation position relative to codon 200 (pre-/postcodon 200) influences these pathologic features and dementia at different stages.

Methods: Individuals from families with known PSEN1 mutations (n = 393) underwent neuroimaging and clinical assessments.

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Background And Objectives: Alzheimer disease (AD) is primarily associated with accumulations of amyloid plaques and tau tangles in gray matter, however, it is now acknowledged that neuroinflammation, particularly in white matter (WM), significantly contributes to the development and progression of AD. This study aims to investigate WM neuroinflammation in the continuum of AD and its association with AD pathologies and cognition using diffusion-based neuroinflammation imaging (NII).

Methods: This is a cross-sectional, single-center, retrospective evaluation conducted on an observational study of 310 older research participants who were enrolled in the Knight Alzheimer's Disease Research Center cohort.

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The use of biomarkers for the early detection of Alzheimer's disease (AD) is crucial for developing potential therapeutic treatments. Positron Emission Tomography (PET) is a well-established tool used to detect β-amyloid (Aβ) plaques in the brain. Previous studies have shown that cross-sectional biomarkers can predict cognitive decline (Schindler et al.

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Article Synopsis
  • The study investigates imaging biomarkers in patients with dominantly inherited Alzheimer disease, using clinical MR images to potentially enhance understanding of the condition without invasive methods.
  • Researchers analyzed data from 525 participants, focusing on how mean and variability in MR signal intensities (FLAIR-μ, T1-σ, FLAIR-σ) changed as patients neared symptom onset, revealing notable patterns linked to disease progression.
  • Findings indicate that increased tau pathology correlates more closely with changes in imaging metrics than amyloid pathology, suggesting tau could be a crucial factor in the development of Alzheimer symptoms.
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Introduction: Studies suggest distinct differences in the development, presentation, progression, and response to treatment of Alzheimer's disease (AD) between females and males. We investigated sex differences in cognition, neuroimaging, and fluid biomarkers in dominantly inherited AD (DIAD).

Methods: Three hundred twenty-five mutation carriers (55% female) and one hundred eighty-six non-carriers (58% female) of the Dominantly Inherited Alzheimer Network Observational Study were analyzed.

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Background: Cellulitis is a common acute skin and soft tissue infection that causes substantial morbidity and healthcare costs.

Aims: To audit the impact on cellulitis management, regimen tolerability and outcomes of switching from outpatient parenteral antimicrobial therapy (OPAT) using intravenous (i.v.

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The Dominantly Inherited Alzheimer Network (DIAN) unites researchers aiming to understand autosomal dominant Alzheimer’s disease (ADAD). By longitudinally monitoring families worldwide, the DIAN Observational Study maintains an unprecedented resource of deeply phenotyped, freely available neuroimaging data on individuals with ADAD and their healthy relatives.

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Article Synopsis
  • The Dominantly Inherited Alzheimer Network (DIAN) focuses on studying autosomal dominant Alzheimer disease (ADAD), caused by mutations in three specific genes that have a 50% inheritance risk for offspring.
  • The predictable age of onset within ADAD families helps researchers track disease progression and test potential Alzheimer biomarkers during the disease's early stages.
  • Although ADAD is a small subset of overall Alzheimer cases, insights gained from this research could also benefit understanding of sporadic Alzheimer and contribute valuable data for studying healthy aging through non-carrier family members.
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Purpose: Pittsburgh Compound-B (C-PiB) and F-florbetapir are amyloid-β (Aβ) positron emission tomography (PET) radiotracers that have been used as endpoints in Alzheimer's disease (AD) clinical trials to evaluate the efficacy of anti-Aβ monoclonal antibodies. However, comparing drug effects between and within trials may become complicated if different Aβ radiotracers were used. To study the consequences of using different Aβ radiotracers to measure Aβ clearance, we performed a head-to-head comparison of C-PiB and F-florbetapir in a Phase 2/3 clinical trial of anti-Aβ monoclonal antibodies.

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Article Synopsis
  • The study aims to compare amyloid accumulation and its timing in two groups: individuals with autosomal dominant Alzheimer's disease and those with Down syndrome, both significant for understanding Alzheimer's pathogenesis.
  • Participants included adults aged 25 and older who underwent MRI and amyloid PET scans, allowing researchers to analyze differences in amyloid burden based on genetic factors and cognitive status.
  • The study found that patterns of amyloid accumulation may vary between the two groups, with a focus on factors like mutation type, age, and APOE genotype, enhancing our understanding of Alzheimer's disease risk and progression.
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The apolipoprotein E () ε4 allele is strongly linked with cerebral β-amyloidosis, but its relationship with tauopathy is less established. We investigated the relationship between ε4 carrier status, regional amyloid-β (Aβ), magnetic resonance imaging (MRI) volumetrics, tau positron emission tomography (PET), messenger RNA (mRNA) expression maps, and cerebrospinal fluid phosphorylated tau (CSF ptau). Three hundred fifty participants underwent imaging, and 270 had ptau.

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Objective: To determine the characteristics of participants with amyloid-related imaging abnormalities (ARIA) in a trial of gantenerumab or solanezumab in dominantly inherited Alzheimer disease (DIAD).

Methods: 142 DIAD mutation carriers received either gantenerumab SC (n = 52), solanezumab IV (n = 50), or placebo (n = 40). Participants underwent assessments with the Clinical Dementia Rating® (CDR®), neuropsychological testing, CSF biomarkers, β-amyloid positron emission tomography (PET), and magnetic resonance imaging (MRI) to monitor ARIA.

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Off-target binding of [F]flortaucipir (FTP) can complicate quantitative PET analyses. An underdiscussed off-target region is the skull. Here, we characterize how often FTP skull binding occurs, its influence on estimates of Alzheimer disease pathology, its potential drivers, and whether skull uptake is a stable feature across time and tracers.

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Background And Objectives: This study aims to quantify microglial activation in individuals with Alzheimer disease (AD) using the 18-kDa translocator protein (TSPO) PET imaging in the hippocampus and precuneus, the 2 AD-vulnerable regions, and to evaluate the association of baseline neuroinflammation with amyloidosis, tau, and longitudinal cognitive decline.

Methods: Twenty-four participants from the Knight Alzheimer Disease Research Center (Knight ADRC) were enrolled and classified into stable cognitively normal, progressor, and symptomatic AD groups based on clinical dementia rating (CDR) at 2 or more clinical assessments. The baseline TSPO radiotracer [11C]PK11195 was used to image microglial activation.

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Although often unmeasured in studies of cognition, many older adults possess Alzheimer disease (AD) pathologies such as beta-amyloid (Aβ) deposition, despite being asymptomatic. We were interested in examining whether the behavior-structure relationship observed in later life was altered by the presence of preclinical AD pathology. A total of 511 cognitively unimpaired adults completed magnetic resonance imaging and three attentional control tasks; a subset (n = 396) also underwent Aβ-positron emissions tomography.

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Background: Obesity is an increasingly recognized modifiable risk factor for Alzheimer's disease (AD). Increased body mass index (BMI) is related to distinct changes in white matter (WM) fiber density and connectivity.

Objective: We investigated whether sex differentially affects the relationship between BMI and WM structural connectivity.

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Background: Intracranial internal carotid artery (ICA) calcification is a common incidental finding in non-contrast head CT. We evaluated the predictive value of ICAC (ICAC) for future risk of cognitive decline and compared the results with conventional imaging biomarkers of dementia.

Methods: In a retrospective observational cohort, we included 230 participants with a PET-CT scan within 18 months of a baseline clinical assessment and longitudinal imaging assessments.

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Tentative results from feasibility analyses are critical for planning future randomized control trials (RCTs) in the emerging field of neural biomarkers of behavioral interventions. The current feasibility study used MRI-derived diffusion imaging data to investigate whether it would be possible to identify neural biomarkers of a behavioral intervention among people diagnosed with autism spectrum disorder (ASD). The corpus callosum has been linked to cognitive processing and callosal abnormalities have been previously found in people diagnosed with ASD.

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Defining a signature of cortical regions of interest preferentially affected by Alzheimer disease (AD) pathology may offer improved sensitivity to early AD compared to hippocampal volume or mesial temporal lobe alone. Since late-onset Alzheimer disease (LOAD) participants tend to have age-related comorbidities, the younger-onset age in autosomal dominant AD (ADAD) may provide a more idealized model of cortical thinning in AD. To test this, the goals of this study were to compare the degree of overlap between the ADAD and LOAD cortical thinning maps and to evaluate the ability of the ADAD cortical signature regions to predict early pathological changes in cognitively normal individuals.

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A single nucleotide polymorphism (SNP) in the gene coding for brain-derived neurotrophic factor (BDNF) has previously been associated with a reduction in recognition memory performance. While previous findings have highlighted that this SNP contributes to recognition memory, little is known about its influence on subprocesses of recognition, familiarity and recollection. Previous research has reported reduced hippocampal volume and decreased fractional anisotropy in carriers of the Met allele across a range of white matter tracts, including those networks that may support recognition memory.

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: Long-term potentiation (LTP) is recognised as a core neuronal process underlying long-term memory. However, a direct relationship between LTP and human memory performance is yet to be demonstrated. The first aim of the current study was thus to assess the relationship between LTP and human long-term memory performance.

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Learning disabilities such as dyslexia, dyscalculia and their comorbid manifestation are prevalent, affecting as much as 15% of the population. Structural neuroimaging studies have indicated that these disorders can be related to differences in white matter integrity, although findings remain disparate. In this study, we used a unique design composed of individuals with dyslexia, dyscalculia, both disorders and controls, to systematically explore differences in fractional anisotropy across groups using diffusion tensor imaging.

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