Comparative Study between ZOOMit and Conventional Intravoxel Incoherent Motion MRI for Assessing Parotid Gland Abnormalities in Patients with Early- or Mid-Stage Sjögren's Syndrome.

Objective: To compare the reproducibility and performance of quantitative metrics between ZOOMit and conventional intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) in the diagnosis of early- and mid-stage Sjögren's syndrome (SS).

Materials And Methods: Twenty-two patients (mean age ± standard deviation, 52.0 ± 10.

Disrupted Functional Connectivity of the Amygdala Predicts the Efficacy of Non-steroidal Anti-inflammatory Drugs in Migraineurs Without Aura.

Machine learning (ML) has been largely applied for predicting migraine classification. However, the prediction of efficacy of non-steroidal anti-inflammatory drugs (NSAIDs) in migraine is still in the early stages. This study aims to evaluate whether the combination of machine learning and amygdala-related functional features could help predict the efficacy of NSAIDs in patients with migraine without aura (MwoA).

Impaired effective functional connectivity of the sensorimotor network in interictal episodic migraineurs without aura.

Background: Resting-state functional magnetic resonance imaging (Rs-fMRI) has confirmed sensorimotor network (SMN) dysfunction in migraine without aura (MwoA). However, the underlying mechanisms of SMN effective functional connectivity in MwoA remain unclear. We aimed to explore the association between clinical characteristics and effective functional connectivity in SMN, in interictal patients who have MwoA.

Achieving high performance poly(vinylidene fluoride) dielectric composites polymerization of polypyrrole nanoparticles on hydroxylated BaTiO particles.

Polymer dielectric composites have widespread applications in many fields ranging from energy storage, microelectronic devices, and sensors to power driven systems, and attract much attention of researchers. However, it is still challenging to prepare advanced polymer dielectric composites with a high dielectric constant ('), low dielectric loss (tan ) and simultaneously high breakdown strength ( ). In this work, conductive polypyrrole (PPy) nanoparticles were synthesized in a reaction system containing the common barium titanate (BaTiO, BT) or hydroxylated BaTiO (BTOH) particles, and then the PPy@BT and PPy@BTOH composite particles were incorporated into poly(vinylidene fluoride) (PVDF) to prepare the composites.