Academic News Report Background The motor cortex has long been the focus of research on motor control, mainly studying its role in active motor execution. However, even in the absence of actual motor output, the motor cortex also activates during motor imagery. Previous behavioral and imaging studies have confirmed this phenomenon, but how the spec...
Background Introduction Over the long term, normative and descriptive models have been trying to explain and predict human decision-making behavior in the face of risk choices such as products or gambling. A recent study discovered a more accurate human decision model by training Neural Networks (NNs) on a new large-scale online dataset called choi...
Languages with Higher Information Density Exhibit Faster Communication but Lower Conversational Breadth Background Human languages exhibit extensive differences in encoding information. These differences have been studied extensively within certain semantic domains, such as time, space, color, human body parts, and activities. However, there has be...
Differentiating Visual and Semantic Information in Human Perception and Memory Using Deep Neural Networks Introduction In cognitive science, the study of how humans recognize individuals and objects during perception and memory processes has long been of interest. Successful recognition of people and objects relies on matching representations gener...
Academic News Report: Revealing Effector-Independent Evidence Accumulation Dynamics from Intracranial Electrophysiological Recordings Research Background The neural mechanisms underlying the decision-making process have long been a significant topic in neuroscience. Previous studies have indicated that it is possible to identify neural signals rela...
Background Introduction In contemporary neuroscience research, dopamine and serotonin are hypothesized to be crucial neuromodulators guiding social behavior. However, there is a significant lack of understanding regarding the dynamic changes of these neuromodulators during social interactions. Although non-invasive functional neuroimaging methods (...
Background Introduction Cancer of Unknown Primary (CUP) is a type of malignant disease that is confirmed to be metastatic through histopathology but whose primary site cannot be identified using conventional baseline diagnostic methods. CUP presents significant diagnostic and therapeutic challenges in clinical practice and is believed to account fo...
Predictive Autoantibody Signature for Multiple Sclerosis Academic Background and Research Significance Multiple Sclerosis (MS) is a chronic inflammatory autoimmune disease that primarily affects the white matter of the central nervous system (CNS). Previous studies have mostly suggested that T cells play a major role in the pathogenesis of MS. Howe...
The Effectiveness of Bivalent CAR T-Cell Therapy Targeting EGFR and IL13Rα2 in Treating Recurrent Glioblastoma In recent years, the treatment of recurrent glioblastoma (RGBM) has been continually explored and improved, yet overall survival rates remain less than one year, presenting a significant challenge. The limitations of existing treatments an...
Abstract In recent years, researchers have gradually recognized that contextual awareness and goal-directed responses to emotional events are crucial for adaptive functioning. Behavioral and emotional regulation models posit that the lateral prefrontal cortex (lpfc) maintains goal-related representations, thereby facilitating cognitive control. How...