Publications by authors named "Jeremy Strain"

Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer's disease (AD). Computational simulations and animal experiments have hinted at the theory of activity-dependent degeneration as the cause of this hub vulnerability. However, two critical issues remain unresolved.

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Article Synopsis
  • - This systematic review investigates white matter hyperintensity (WMH) research from 2000 to 2022, focusing on prevalence, mechanisms, and characteristics of studied cohorts while following PRISMA guidelines.
  • - The analysis revealed 1007 visual rating scales, 118 pipeline development articles, and 509 implementation articles, with a significant focus on aging, dementia, and psychiatric disorders, and indicated that deep learning is the leading segmentation technique developed.
  • - Despite advancements in quantitative techniques, traditional visual rating scales remain popular, with SPM being the most commonly used method; the review emphasizes the need for future standards in WMH segmentation and offers recommendations accordingly.
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Blastomycosis is an infectious disease produced by the fungal organisms, Blastomyces dermatiditis and Blastomyces gilchristi. We present a 57-year-old woman with pulmonary blastomycosis and secondary cutaneous involvement. Her diagnosis was facilitated by dermatology consultation after approximately one year of delay.

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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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White matter hyperintensities (WMH) are nearly ubiquitous in the aging brain, and their topography and overall burden are associated with cognitive decline. Given their numerosity, accurate methods to automatically segment WMH are needed. Recent developments, including the availability of challenge data sets and improved deep learning algorithms, have led to a new promising deep-learning based automated segmentation model called TrUE-Net, which has yet to undergo rigorous independent validation.

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Hub regions in the brain, recognized for their roles in ensuring efficient information transfer, are vulnerable to pathological alterations in neurodegenerative conditions, including Alzheimer Disease (AD). Given their essential role in neural communication, disruptions to these hubs have profound implications for overall brain network integrity and functionality. Hub disruption, or targeted impairment of functional connectivity at the hubs, is recognized in AD patients.

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Introduction: Vascular damage in Alzheimer's disease (AD) has shown conflicting findings particularly when analyzing longitudinal data. We introduce white matter hyperintensity (WMH) longitudinal morphometric analysis (WLMA) that quantifies WMH expansion as the distance from lesion voxels to a region of interest boundary.

Methods: WMH segmentation maps were derived from 270 longitudinal fluid-attenuated inversion recovery (FLAIR) ADNI images.

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Background And Objectives: White matter hyperintensities (WMH) correlate with Alzheimer disease (AD) biomarkers cross-sectionally and modulate AD pathogenesis. Longitudinal changes have been reported for AD biomarkers, including concentrations of CSF β-amyloid (Aβ) 42, Aβ40, total tau and phosphorylated tau181, standardized uptake value ratio from the molecular imaging of cerebral fibrillar Aβ with PET using [C] Pittsburgh Compound-B, MRI-based hippocampal volume, and cortical thickness. Correlations between established AD biomarkers and the longitudinal change for WMH have not been fully evaluated, especially among cognitively normal individuals across the adult life span.

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Background: Alzheimer's disease (AD) and vascular contributions to cognitive impairment and dementia (VCID) pathologies coexist in patients with cognitive impairment. Abnormal amyloid beta (Aβ) deposition is the hallmark pathologic biomarker for AD. Neuroinflammation may be a pathophysiological mechanism in both AD and VCID.

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The distribution of brain aerobic glycolysis (AG) in normal young adults correlates spatially with amyloid-beta (Aβ) deposition in individuals with symptomatic and preclinical Alzheimer disease (AD). Brain AG decreases with age, but the functional significance of this decrease with regard to the development of AD symptomatology is poorly understood. Using PET measurements of regional blood flow, oxygen consumption, and glucose utilization-from which we derive AG-we find that cognitive impairment is strongly associated with loss of the typical youthful pattern of AG.

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Neurofilament light chain, a putative measure of neuronal damage, is measurable in blood and CSF and is predictive of cognitive function in individuals with Alzheimer's disease. There has been limited prior work linking neurofilament light and functional connectivity, and no prior work has investigated neurofilament light associations with functional connectivity in autosomal dominant Alzheimer's disease. Here, we assessed relationships between blood neurofilament light, cognition, and functional connectivity in a cross-sectional sample of 106 autosomal dominant Alzheimer's disease mutation carriers and 76 non-carriers.

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Background: With implementation of combination antiretroviral therapy (cART), changes to brain integrity in people with HIV (PWH) are subtle compared to those observed in the pre-cART era. T1-weighted/T2-weighted (T1w/T2w) ratio has been proposed as a measure of cortical myelin. This study examines T1w/T2w values between virologically controlled PWH and persons without HIV (PWoH).

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Background And Objectives: Topographical distribution of white matter hyperintensities (WMH) are hypothesized to vary by cerebrovascular risk factors. We used an unbiased pattern discovery approach to identify distinct WMH spatial patterns and investigate their association with different WMH etiologies.

Methods: We performed a cross-sectional study on participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI) to identify spatially distinct WMH distribution patterns using voxel-based spectral clustering analysis of aligned WMH probability maps.

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Article Synopsis
  • Prior studies have used different methods to explore functional connectivity in aging and Alzheimer’s disease, but they often overlook how signal amplitude impacts results.
  • This study compares covariance-based and correlation-based functional connectivity, finding that aging leads to a loss of resting state fMRI signal amplitude while Alzheimer’s disease causes both amplitude loss and disrupted correlation structure.
  • The results highlight a distinction between aging and Alzheimer’s effects on brain activity, emphasizing the significance of signal amplitude in understanding these conditions.
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Background: Persons with HIV (PWH) undergo white matter changes, which can be quantified using the brain-age gap (BAG), the difference between chronological age and neuroimaging-based brain-predicted age. Accumulation of microstructural damage may be accelerated in PWH, especially with detectable viral load (VL).

Methods: In total, 290 PWH (85% with undetectable VL) and 165 HIV-negative controls participated in neuroimaging and cognitive testing.

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Background: Persons with HIV (PWH) are at increased risk of frailty, a clinically recognizable state of increased vulnerability resulting from aging-associated decline in multiple physiologic systems. Frailty is often defined by the Fried criteria, which includes subjective and objective standards concerning health resiliency. However, these frailty metrics do not incorporate cognitive performance or neuroimaging measures.

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Background: Hyperphosphorylation of tau leads to conformational changes that destabilize microtubules and hinder axonal transport in Alzheimer's disease (AD). However, it remains unknown whether white matter (WM) decline due to AD is associated with specific Tau phosphorylation site(s).

Methods: In autosomal dominant AD (ADAD) mutation carriers (MC) and non-carriers (NC) we compared cerebrospinal fluid (CSF) phosphorylation at tau sites (pT217, pT181, pS202, and pT205) and total tau with WM measures, as derived from diffusion tensor imaging (DTI), and cognition.

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Background: Despite improved survival rates, neurocognitive impairment persists in persons living with HIV (PLWH). An active lifestyle is linked to improved cognition among PLWH, yet the neural substrates remain unclear. Diffusion tensor imaging and diffusion basis spectrum imaging measure HIV-related changes in brain white matter integrity.

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Psoriasis is a chronic, immune-mediated skin condition which commonly affects women of childbearing age. Certolizumab pegol (CZP) is an anti-tumor necrosis factor-alpha (anti-TNFα) agent that has demonstrated long-term safety and efficacy in treating moderate-to-severe plaque psoriasis. Previously, there has been limited safety data surrounding its use in pregnancy.

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Article Synopsis
  • Scientists used machine learning to find new ways that Alzheimer's disease develops in people with a specific genetic mutation.
  • They studied brain scans from 131 people who had the mutation and 74 who didn't, looking for signs that could help predict the disease.
  • The study found certain brain areas were really good at showing how the disease would change over time, and results showed clear patterns of disease progression in the brains of those with the mutation.
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Identify a global resting-state functional connectivity (gFC) signature in mutation carriers (MC) from the Dominantly Inherited Alzheimer Network (DIAN). Assess the gFC with regard to amyloid (A), tau (T), and neurodegeneration (N) biomarkers, and estimated years to symptom onset (EYO). Cross-sectional measures were assessed in MC ( = 171) and mutation noncarrier (NC) ( = 70) participants.

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Objective: This study examined relationships between anticholinergic medication burden and brain integrity in people living with HIV (PLWH) and people without HIV (HIV-).

Methods: Neuropsychological performance z-scores (learning, retention, executive function, motor/psychomotor speed, language domains, and global cognition), and neuroimaging measures (brain volumetrics and white matter fractional anisotropy) were analyzed in PLWH (n = 209) and HIV- (n = 95) grouped according to the Anticholinergic Cognitive Burden (ACB) scale (0 = no burden, 1-3 = low burden, >3 = high burden). Neuropsychological performance and neuroimaging outcomes were compared between HIV- and PLWH with high anticholinergic burden.

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  • The study investigates neuroinflammation in people living with HIV (PLWH) using TSPO-PET imaging, which focuses on a specific protein linked to inflammation in the brain.
  • Researchers compared 24 virologically suppressed PLWH to 13 HIV-negative controls, measuring the binding of a radiotracer ([C]PBR28) across various brain regions.
  • The findings indicated no significant differences in neuroinflammation between PLWH and HIV-negative individuals, suggesting that while neuroinflammation may contribute to cognitive deficits, it is not more pronounced in PLWH compared to those without HIV.
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Neurofilament light chain (NfL) is a protein that is selectively expressed in neurons. Increased levels of NfL measured in either cerebrospinal fluid or blood is thought to be a biomarker of neuronal damage in neurodegenerative diseases. However, there have been limited investigations relating NfL to the concurrent measures of white matter (WM) decline that it should reflect.

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