Results 121 to 130 of about 264,340 (333)
Methods to detect, characterize, and remove motion artifact in resting state fMRI
NeuroImage, 2014 Jonathan D. Power +5 more
semanticscholar +1 more source
Neurourology and Urodynamics, EarlyView.ABSTRACT Aims While many patients with lower urinary tract symptoms (LUTS) improve by treating peripheral causes, a substantial proportion continue to experience symptoms despite apparently successful interventions. Central nervous system (CNS) mechanisms could potentially contribute to persisting symptoms after the initial peripheral cause has been ...
Mathijs M. de Rijk +7 more
wiley +1 more source
Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, EarlyView.ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Martina Giacon, Salvatore Terrazzino
wiley +1 more source
Mathematics anxiety: Effects of age, gender and culture
British Journal of Educational Psychology, EarlyView.Abstract Background Many studies have indicated that mathematics anxiety is a significant problem for many people and is an important topic for research. Mathematics anxiety is multidimensional. In particular, it is important to distinguish between worry and emotionality components, and between trait and state anxiety.
Ann Dowker
wiley +1 more source
Biomarkers, designs, and interpretations of resting‐state fMRI in translational pharmacological research: A review of state‐of‐the‐Art, challenges, and opportunities for studying brain chemistry [PDF]
, 2017 Najmeh Khalili‐Mahani +12 more
openalex +1 more source
Advances in resting state fMRI acquisitions for functional connectomics
NeuroImage, 2021 L. Raimondo +6 more
semanticscholar +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
British Journal of Psychology, EarlyView.Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
British Journal of Pharmacology, EarlyView.Theorized mechanism of dopamine homeostasis restoration in the nucleus accumbens core induced by a psychedelic intervention. Abstract Psychedelics have garnered great attention in recent years as treatments for major depressive disorder (MDD) and treatment‐resistant depression because of their ability to alter consciousness and afflicted cognitive ...
Lucas Wittenkeller +3 more
wiley +1 more source