Explore the revolutionary CRISPR gene editing technology, its applications in medicine and agriculture, recent breakthroughs, and ethical considerations.
This article explores the transformative role of Virtual Reality (VR) as an active sensing platform in biomedical research and drug development.
This article provides a systematic comparison of data-driven signature models and mechanism-driven theory-based models in biomedical research and drug development.
This article provides a comprehensive overview of Virtual Reality (VR) methodologies for studying rodent navigation behavior, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive framework for developing and validating data-driven brain signatures that reliably predict behavioral outcomes.
This article provides a comprehensive analysis of immersive Virtual Reality (VR) protocols for the assessment of executive functions (EF), targeting researchers and drug development professionals.
This article provides a comprehensive analysis of Virtual Reality Exposure Therapy (VRET) for anxiety disorders, tailored for researchers, scientists, and drug development professionals.
This comprehensive analysis examines the evolving use of cognitive terminology across specialized psychology journals, tracing the historical shift from behaviorist to cognitivist frameworks while addressing contemporary methodological challenges.
This article provides a comprehensive framework for ensuring the replicability of brain signature models across independent validation datasets, a critical challenge in neuroscience and clinical translation.
This article provides a systematic comparison of three pivotal neuroimaging techniques—functional magnetic resonance imaging (fNIRS), electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS)—for researchers and professionals in design neurocognition and drug...
Diffusion-Tensor Magnetic Resonance Imaging (DT-MRI) fiber tracking has emerged as a powerful, non-invasive tool for visualizing the brain's structural connectivity, providing critical insights for behavioral studies and clinical drug development.
This article provides a comprehensive framework for handling the unique challenges posed by large Diffusion Tensor Imaging (DTI) datasets in behavioral studies and drug development research.
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