Major depressive disorder (MDD) is a debilitating mental health condition characterized by persistent low mood, loss of interest in everyday activities, appetite changes, sleep disturbances and, in extreme cases, suicidal thoughts. Millions of individuals worldwide...
Health Informatics
Brain network model can predict when people will feel surprised
Surprise is a key human emotion that is typically felt when something that we are witnessing or experiencing differs from our expectations. This natural human response to the unexpected has been the focus of numerous psychology studies, which uncovered some of its...
Novel visualization method helps make sense of large neuronal activity datasets
Recent technological advances opened exciting possibilities for neuroscience, enabling the collection of increasingly detailed neural data. Making sense of the large number of neural recordings gathered by neuroscientists worldwide, however, has so far proved more...
A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods for exploring the link between neural activity and behavior rely on...
Using machine learning to uncover predictors of well-being
Irrespective of their personal, professional and social circumstances, different individuals can experience varying levels of life satisfaction, fulfillment and happiness. This general measure of life satisfaction, broadly referred to as "well-being," has been the key...
Network analysis highlights the key role of plasticity in the transition from depression to mental health
Surveys and statistics suggest that mental illnesses are becoming increasingly widespread, as the number of people worldwide accessing mental health services has increased in recent years. Understanding the factors that can predict well-being and contribute to the...
Using deep neural networks to predict how natural sounds are processed by the brain
In recent years, machine learning techniques have accelerated and innovated research in numerous fields, including neuroscience. By identifying patterns in experimental data, these models could for instance predict the neural processes associated with specific...
Using deep learning to detect depression from speech
Artificial intelligence (AI) tools have achieved promising results on numerous tasks and could soon assist professionals in various settings. In recent years, computer scientists have been exploring the potential of these tools for detecting signs of different...
The possible effects of cinnamon on memory and learning
Cinnamon, the well-known aromatic spice that many of us use to bake cakes and cook savory dishes, is derived from the inner bark of Cinnamomum trees. These are evergreen trees found in the Himalayas and other mountain areas, as well as in rainforests and other forests...
Study finds that insomnia could cause lower back pain and vice versa
Throughout the course of their life, most humans are likely to experience some form of lower back pain. This pain is sometimes associated with injuries, chronic back issues, medical conditions, the menstrual cycle or pregnancy, and other underlying physiological...