Deep Geometric Learning with Monotonicity Constraints for Alzheimer’s Disease Progression

Using Monotonicity-Constrained Deep Geometric Learning to Predict Alzheimer’s Disease Progression Background Introduction Alzheimer’s Disease (AD) is a devastating neurodegenerative disorder that gradually leads to irreversible cognitive decline, eventually resulting in dementia. Early identification and progression prediction of this disease are c...

Subthalamic Nucleus-Language Network Connectivity Predicts Dopaminergic Modulation of Speech Function in Parkinson’s Disease

Subthalamic Nucleus-Language Network Connectivity Predicts Dopaminergic Modulation of Speech Function in Parkinson’s Disease

Parkinson’s Disease Research Report: Subthalamic Nucleus–Language Network Functional Connectivity Predicts Dopaminergic Modulation of Speech Function Background Parkinson’s disease (PD) is primarily characterized by motor impairments, but it also involves non-motor symptoms including speech disorders, severely affecting patients’ quality of life. A...

Motor Cortex Retains and Reorients Neural Dynamics During Motor Imagery

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...

Using Deep Neural Networks to Disentangle Visual and Semantic Information in Human Perception and Memory

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...

Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions

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...

An Autoantibody Signature Predictive for Multiple Sclerosis

An Autoantibody Signature Predictive for Multiple Sclerosis

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...