Does Integrating Pain Neuroscience Education With Physiotherapy Enhance Outcomes in Chronic Plantar Fasciitis Patients?-Study Protocol for Randomized Clinical Trial.

Background: Chronic Plantar Fasciitis (CPF) is commonly associated with elevated levels of anxiety and pain catastrophizing. Pain Neuroscience Education (PNE) has shown promise in addressing these psychological components, but high-quality evidence assessing its combined impact with physiotherapy for CPF is limited.

Purpose: This study evaluates the potential benefits of incorporating Pain Neuroscience Education alongside Physiotherapy for managing Chronic Plantar Fasciitis.

Precision measurements of brain oxygen utilization with positron emission tomography.

Oxygen utilization is important for studies of brain metabolism, alongside other measurements such as for glucose metabolism. Oxygen and other measurements with [ O] tracers and PET, however, are significantly more challenging than measurements of [ F]fluorodeoxyglucose, the standard for probing tissue glucose metabolism in vivo, in part due to the much shorter radioactive half-life of [ O]. This work examines details of precision measurement of [ O] tracers and their kinetics.

Reactions of chalcogens and borane with phosphazane macrocycles assembled from diethanolamine and PN building blocks.

Phosphazanes of the type [ClP(μ-NR)] are excellent building blocks for the formation of a range of macrocycles. The condensation reaction of the bifunctional linkers, -substituted diethanolamine with cyclodiphosphazane, [ClP(μ-NBu)] leads to the formation of dimeric macrocycles, [{P(μ-NBu)}{O(CH)N(R)(CH)O}]; (R = Me (1), Ph (2)). Furthermore, the P centres of 1 and 2 were oxidized with chalcogens (O, S, and Se) to afford the corresponding P macrocycles - [{(O)P(μ-NBu)}{O(CH)N(R)(CH)O}] (R = Me (3), Ph (4)); [{(S)P(μ-NBu)}{O(CH)N(R)(CH)O}] (R = Me (5), Ph (6)) and [{(Se)P(μ-NBu)}{O(CH)N(R)(CH)O}] (R = Me (7), Ph (8)).

EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [F]FDG brain studies.

Purpose: PET imaging is a pivotal tool for biomarker research aimed at personalized medicine. Leveraging the quantitative nature of PET requires knowledge of plasma radiotracer concentration. Typically, the arterial input function (AIF) is obtained through arterial cannulation, an invasive and technically demanding procedure.

Increased White Matter Aerobic Glycolysis in Multiple Sclerosis.

Objective: Despite treatments which reduce relapses in multiple sclerosis (MS), many patients continue to experience progressive disability accumulation. MS is associated with metabolic disruptions and cerebral metabolic stress predisposes to tissue injury and possibly impaired remyelination. Additionally, myelin homeostasis is metabolically expensive and reliant on glycolysis.

Aging and the Spectral Properties of Brain Hemodynamics.

Cerebral glucose metabolism (CMRGlc) systematically decreases with advancing age. We sought to identify correlates of decreased CMRGlc in the spectral properties of fMRI signals imaged in the task-free state. We analyzed lifespan resting-state fMRI data acquired in 455 healthy adults (ages 18-87 years) and cerebral metabolic data acquired in a separate cohort of 94 healthy adults (ages 25-45 years, 65-85 years).

A systematic review and meta-analysis of outcome measures to assess coordination among children.

Background: Coordination can be tested through different outcomes, which provide a platform for clinical and research purposes. The psychometric properties of the outcomes aid clinicians/researchers in appropriately selecting the measure.

Objective: To investigate the coordination outcomes measures for children aged 4-17.

Vascular Neurology Considerations for Antiamyloid Immunotherapy: A Science Advisory From the American Heart Association.

Antibodies directed at the amyloid-β peptide offer the prospect of disease-modifying therapy for early-stage Alzheimer disease but also carry the risk of brain edema or bleeding events, collectively designated amyloid-related imaging abnormalities. Introduction of the antiamyloid immunotherapies into practice is therefore likely to present a new set of questions for clinicians treating patients with cerebrovascular disease: Which manifestations of cerebrovascular disease should preclude, or permit, antibody treatment? Is it safe to prescribe amyloid immunotherapies to individuals who require antithrombotic treatment, or to administer thrombolysis to antibody-treated individuals with acute stroke? How should severe amyloid-related imaging abnormalities be managed? This science advisory summarizes the data and key considerations to guide these challenging decisions as the medical community collects further data and experience with these groundbreaking agents.

Characteristics and predictors of disease course in children initially presenting with ADEM.

ADEM is an inflammatory disease, with new onset polyfocal neurologic symptoms, encephalopathy and multifocal demyelination, typically in childhood. Initial diagnosis of ADEM is challenging and up to 20 % of children with MS or NMOSD are initially diagnosed with ADEM. We describe characteristics of patients with monophasic ADEM vs.

Individual-level metabolic connectivity from dynamic [F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard.

Purpose: This study evaluates the potential of within-individual Metabolic Connectivity (wi-MC), from dynamic [F]FDG PET data, based on the Euclidean Similarity method. This approach leverages the biological information of the tracer's full temporal dynamics, enabling the direct extraction of individual metabolic connectomes. Specifically, the proposed framework, applied to glioma pathology, seeks to assess sensitivity to metabolic dysfunctions in the whole brain, while simultaneously providing further insights into the pathophysiological mechanisms regulating glioma progression.

A multi-model approach integrating whole-slide imaging and clinicopathologic features to predict breast cancer recurrence risk.

Breast cancer is the most common malignancy affecting women worldwide and is notable for its morphologic and biologic diversity, with varying risks of recurrence following treatment. The Oncotype DX Breast Recurrence Score test is an important predictive and prognostic genomic assay for estrogen receptor positive/HER2 negative breast cancer that guides therapeutic strategies; however, such tests can be expensive, delay care, and are not widely available. The aim of this study was to develop a multi-model approach integrating the analysis of whole-slide images and clinicopathologic data to predict their associated breast cancer recurrence risks and categorize these patients into two risk groups according to the predicted score: low-risk and high-risk.

The brain's "dark energy" puzzle : [F]FDG uptake, delivery and phosphorylation, and their coupling with resting-state brain activity.

The brain's resting-state energy consumption is expected to be mainly driven by spontaneous activity. In our previous work, we extracted a wide range of features from resting-state fMRI (rs-fMRI), and used them to predict [F]FDG PET SUVR as a proxy of glucose metabolism. Here, we expanded upon our previous effort by estimating [F]FDG kinetic parameters according to Sokoloff's model, i.

Finding MeVO: Identifying Intracranial Medium-Vessel Occlusions at CT Angiography.

The development of methods to detect and treat intracranial large-vessel occlusions (LVOs) has revolutionized the management of acute ischemic stroke. CT angiography (CTA) of the head and neck is effective in depicting LVOs and widely used in the evaluation of patients who have had a stroke. Ongoing efforts are now focused on the potential to detect and treat intracranial medium-vessel occlusions (MeVOs), which by definition are smaller than LVOs and thus more difficult to detect with CTA.

Hyperglycemia selectively increases cerebral non-oxidative glucose consumption without affecting blood flow.

Multiple studies have shown that hyperglycemia increases the cerebral metabolic rate of glucose (CMRglc) in subcortical white matter. This observation remains unexplained. Using positron emission tomography (PET) and euinsulinaemic glucose clamps, we found, for the first time, that acute hyperglycemia increases non-oxidative CMRglc (i.

Spatiotemporal relationships between neuronal, metabolic, and hemodynamic signals in the awake and anesthetized mouse brain.

Neurovascular coupling (NVC) and neurometabolic coupling (NMC) provide the basis for functional magnetic resonance imaging and positron emission tomography to map brain neurophysiology. While increases in neuronal activity are often accompanied by increases in blood oxygen delivery and oxidative metabolism, these observations are not the rule. This decoupling is important when interpreting brain network organization (e.

Neutral and ionic -methyl phenylazo-3,5-(di-2-pyridyl)pyrazole photoswitches: probes for reversible pH modulation by light.

We report the design, synthesis, photoswitching and computational studies of -methyl arylazo-3,5-(di-2-pyridyl)pyrazole and its -alkyl pyridinium derivatives with an ionic center proximally located to the azo group. Besides achieving excellent photoswitching characteristics, particularly at longer wavelengths, and tuning isomer stability due to the effects of counter ions and pH, the utility of neutral and ionic photoswitches for pH modulation by light was achieved.

A single-center retrospective series of OCT and MRI findings in pediatric MOGAD optic neuritis patients.

Background: Whether optical computed tomography (OCT) and magnetic resonance imaging (MRI) findings are associated with final visual acuity in children with myelin oligodendrocyte glycoprotein antibody disease (MOGAD) optic neuritis is unclear.

Methods: We retrospectively reviewed the charts of pediatric patients with MOGAD optic neuritis seen at St. Louis Children's Hospital/Barnes Jewish Hospital since 2016.

MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images.

Background And Purpose: CT imaging exposes patients to ionizing radiation. MR imaging is radiation free but previously has not been able to produce diagnostic-quality images of bone on a timeline suitable for clinical use. We developed automated motion correction and use deep learning to generate pseudo-CT images from MR images.

Multi-Tracer Studies of Brain Oxygen and Glucose Metabolism Using a Time-of-Flight Positron Emission Tomography - Computed Tomography Scanner.

The authors have developed a paradigm using positron emission tomography (PET) with multiple radiopharmaceutical tracers that combines measurements of cerebral metabolic rate of glucose (CMRGlc), cerebral metabolic rate of oxygen (CMRO2), cerebral blood flow (CBF), and cerebral blood volume (CBV), culminating in estimates of brain aerobic glycolysis (AG). These in vivo estimates of oxidative and non-oxidative glucose metabolism are pertinent to the study of the human brain in health and disease. The latest positron emission tomography-computed tomography (PET-CT) scanners provide time-of-flight (TOF) imaging and critical improvements in spatial resolution and reduction of artifacts.