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The extracellular space (ECS) in the brain provides an extrasynaptic transfer channel among neurons, axons and glial cells. It is particularly important in the early stage after birth, when angiogenesis is not yet complete and the ECS may provide the main pathway for metabolite transport. However, the characteristics of extracellular transport remain unclear. In this study, a novel magnetic resonance imaging (MRI) method was used to perform real-time visualization and quantification of diffusion in the brain ECS of infant (postnatal day 10 (P10)) and adult rats. Using a modified diffusion equation and the linear relationship between the signal intensity and the gadolinium-diethylenetriaminepentaacetic acid (Gd-DTPA) concentration, diffusion parameters were obtained; these parameters include the effective diffusion coefficient (D*), clearance rate (k'), tortuosity (λ) and the volume fraction of distribution (Vd%). There were significant differences in the diffusion parameters between P10 and adult rats. This finding provides a reference for future treatment of brain diseases using drugs administered via interstitial pathways., (Copyright © 2016 ISDN. Published by Elsevier Ltd. All rights reserved.)

Background : Communicating bronchopulmonary foregut malformation is a rare anomaly characterized by a patent congenital communication between the esophagus or stomach and an isolated portion of the respiratory system. An esophagogram is taken as the gold standard for diagnosis. Compared with esophagography, computed tomography (CT) is more widely used and easily obtained, but CT findings have been described as nonspecific. Purpose: To describe CT findings in 18 patients with communicating bronchopulmonary foregut malformation to assist with early diagnosis. Material and methods: A retrospective review of 18 patients who had proven communicating bronchopulmonary foregut malformation between January 2006 and December 2021 was conducted. For each patient, the medical records, including demographics, clinical manifestations, upper gastrointestinal radiography, magnetic resonance imaging and CT findings, were reviewed. Results: Among the 18 patients, there were 8 males. The right to left ratio was 3.5:1. An entire lung was involved in 10 patients, a lobe or a segment was involved in 7 patients and an ectopic lesion was located in the right neck in 1 patient. The isolated lung may arise from the upper esophagus, mid-esophagus, lower esophagus or stomach, which were detected in 1, 3, 13, and 1 patient, respectively. On chest CT, an extra bronchus which did not arise from the trachea was detected in 14 patients. Contrast-enhanced chest CT was performed in 17 patients, the isolated lung receiving its blood supply from the pulmonary artery in 13 patients, the systemic artery in 11 patients and both pulmonary and systemic arteries in 7 patients. Conclusions: The presence of an extra bronchus, which does not arise from the trachea, highly suggests the diagnosis of communicating bronchopulmonary foregut malformation. Contrast-enhanced chest CT can provide accurate information regarding the airways, lung parenchyma and vascular structures that is useful to plan surgery. [ABSTRACT FROM AUTHOR]

Background: Migraine is a complex disorder characterized by debilitating headaches. Despite its prevalence, its pathophysiology remains unknown, with subsequent gaps in diagnosis and treatment. We combined machine learning with connectivity analysis and applied a whole-brain network approach to identify potential targets for migraine diagnosis and treatment. Methods: Baseline anatomical T1 magnetic resonance imaging (MRI), resting-state functional MRI(rfMRI), and diffusion weighted scans were obtained from 31 patients with migraine, and 17 controls. A recently developed machine learning technique, Hollow Tree Super (HoTS) was used to classify subjects into diagnostic groups based on functional connectivity (FC) and derive networks and parcels contributing to the model. PageRank centrality analysis was also performed on the structural connectome to identify changes in hubness. Results: Our model attained an area under the receiver operating characteristic curve (AUC-ROC) of 0.68, which rose to 0.86 following hyperparameter tuning. FC of the language network was most predictive of the model's classification, though patients with migraine also demonstrated differences in the accessory language, visual and medial temporal regions. Several analogous regions in the right hemisphere demonstrated changes in PageRank centrality, suggesting possible compensation. Conclusions: Although our small sample size demands caution, our preliminary findings demonstrate the utility of our method in providing a network-based perspective to diagnosis and treatment of migraine. [ABSTRACT FROM AUTHOR]

Background: The typical imaging findings of hairy polyps have been described mostly in case reports. This study was conducted to describe the CT and MRI features of hairy polyps and their common associated abnormalities. Methods: Medical records of 14 patients with pathological diagnosis of hairy polyps were collected for this study. For each patient, the medical records, including demographics, clinical manifestations, and imaging findings were reviewed. Results: The female-to-male ratio was 3.7:1. The age at first episode varied from birth to 2.7 years. The masses were derived from the back side of the soft palate in seven (50.0%) cases, from the lateral pharyngeal wall in four (28.6%) cases, from the soft palate in one (7.1%) case, from the nasal vestibule in one (7.1%) case, and from the parapharyngeal space in one (7.1%) case. A total of 11 (78.6%) cases presented with pedicled masses containing fat and a central core of soft tissue, there were 3 (21.4%) cases whose imaging findings were atypical, and there were 6 (42.9%) patients who had other pathologies. Conclusions: Hairy polyps typically presented as pedicled masses containing fat and a central core of soft tissue, but sometimes their imaging findings can be atypical and they can be associated with other congenital abnormalities. CT and MRI are reliable methods for the diagnosis of hairy polyps and their associated abnormalities. [ABSTRACT FROM AUTHOR]