Publications by authors named "E Khachatryan"
Article Synopsis
- A new method for creating enantiomerically enriched (S)-α-aminopropionic acid derivatives was developed using a reaction called Cu(I) catalyzed [3 + 2] cycloaddition, which combines azides with alkynes.
- The process started with a specific nickel complex and involved several key chemical components, including Schiff bases and phenyl azides.
- The absolute configuration and purity of the resulting amino acids were confirmed through advanced techniques like circular dichroism and chiral HPLC analysis, leading to the successful synthesis of seven new non-proteinogenic (S)-α-amino acids.
Introduction: Past research on Alzheimer's disease (AD) has focused on biomarkers, cognition, and neuroimaging as primary predictors of its progression, albeit additional ones have recently gained attention. When turning to the prediction of the progression from one stage to another, one could benefit from the joint assessment of imaging-based biomarkers and risk/protective factors.
Methods: We included 86 studies that fulfilled our inclusion criteria.
Introduction: Alzheimer's disease is one of the great challenges in the coming decades, and despite great efforts, a widely effective disease-modifying therapy in humans remains elusive. One particular promising non-pharmacological therapy that has received increased attention in recent years is based on the Gamma ENtrainment Using Sensory stimulation (GENUS), a high-frequency neural response elicited by a visual and/or auditory stimulus at 40 Hz. While this has shown to be effective in animal models, studies on human participants have reported varying success.
View Article and Find Full Text PDFBackground: Alignment (i.e., the process of creating fit between elements of the inner and outer context of an organization or system) in conjunction with implementation of an evidence-based intervention (EBI) has been identified as important for implementation outcomes.
View Article and Find Full Text PDFBackground: Brain-computer interfaces decode intentions directly from the human brain with the aim to restore lost functionality, control external devices or augment daily experiences. To combine optimal performance with wide applicability, high-quality brain signals should be captured non-invasively. Magnetoencephalography (MEG) is a potent candidate but currently requires costly and confining recording hardware.
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