As part of its ongoing quest to advance better brain health and performance, new research led by Center for BrainHealth at The University of Texas at Dallas investigated neural biomarkers associated with improvements on a brain health index. The study, “Toward Precision Brain Health: Accurate Prediction of a Cognitive Index Trajectory Using Neuroimaging Metrics,” was … Read more
In a recent study published in JAMA Network Open, researchers assess the link between adverse life experiences and changes in brain reactivity using the multilevel kernel density analysis (MKDA) method on task-based functional magnetic resonance imaging (fMRI) studies. Study: Adverse Life Experiences and Brain Function: A Meta-Analysis of Functional Magnetic Resonance Imaging Findings. Image Credit: Tushchakorn … Read more
In a recent study published in Nature Communications, researchers examine neural networks in the left language-dominant hemisphere responsible for semantic integration using intracranial recordings in epilepsy patients during reading tasks. These experiments were also used to distinguish between effects driven by semantic coherence and task-based referentiality. Study: The spatiotemporal dynamics of semantic integration in the human … Read more
In a recent article published in Psychological Medicine, researchers examine affective and neural responses to parental feedback in adolescents with depression. Study: Sticky criticism? Affective and neural responses to parental criticism and praise in adolescents with depression. Image Credit: fizkes / Shutterstock.com Background Depression, which is characterized by negative self-views and low self-esteem, is a serious mental … Read more
Researchers at the Francis Crick Institute and UCL Queen Square Institute of Neurology, working with technology company Faculty AI, have shown that machine learning can accurately predict subtypes of Parkinson’s disease using images of patient-derived stem cells. Their work, published today in Nature Machine Intelligence, has shown that computer models can accurately classify four subtypes … Read more