The complexity of the human brain gives illusion that activity is intrinsically high-dimensional. Nonlinear dimensionality-reduction methods such as uniform manifold approximation and t-distributed stochastic neighbor embedding have been used for high-throughput biomedical data. However, they not extensively data those from functional magnetic resonance imaging (fMRI), primarily due to their in...

Bayesian whole-brain functional magnetic resonance imaging (fMRI) analysis with three-dimensional spatial smoothing priors has been shown to produce state-of-the-art activity maps without pre-smoothing the data. The proposed inference algorithms are computationally demanding however, and used have several less appealing properties, such as being improper having infinite range. We propose a stat...

Background: Recent cross-sectional studies highlighted the loss of dopaminergic neurons in ventral tegmental area (VTA) as an early pathophysiological event Alzheimer’s disease (AD). Objective: In this study, we longitudinally investigated by resting-state fMRI (rs-fMRI) a cohort patients with mild cognitive impairment (MCI) due to AD evaluate impact VTA disconnection predicting conversion AD. ...

در این پژوهش، تغییرات زمانی تپ‌های لیزری 2CO TEA که از اتاقکی حاوی گاز 6SF با فشار mbar 150-10 عبور می‌کند، شاریدگی‌های انرژی و فشارهای گازی مختلف بررسی شده است. نشان داده است برای هر شاریدگی، قطع معینی وجود دارد قطع، میخه تپ به طور کامل حذف می‌شود، درحالی دنباله دربرگیرنده کسر قابل توجهی اولیه آن است، برجامی‌ماند. شواهد تجربی برآمده داده‌های بیناب‌سنجی FTIR، گسست چندفوتونی مولکول‌های را پاسخگو...

Background: Migraine manifests as recurrent headaches associated with nausea, vomiting, and sensory hypersensitivity. Functional magnetic resonance imaging (fMRI) images activation in different parts of brain either on stimulation or at rest. Aims Objectives: The aim the study was to fMRI changes response visual migraine patients without aura compared healthy volunteers. Materials Methods: A pr...