Deep Learning to Quantify the Pace of Brain Aging in Relation to Neurocognitive Changes

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering,
deep learning   brain aging   neurocognitive changes   Alzheimer's disease   magnetic resonance imaging  

As the global aging problem intensifies, the incidence of neurodegenerative diseases (such as Alzheimer’s Disease, AD) is increasing year by year. Brain aging (Brain Aging, BA) is one of the significant risk factors for neurodegenerative diseases, but it does not completely align with chronological age (Chronological Age, CA). Traditional methods f...

Imitation Learning for Path Planning in Cardiac Percutaneous Interventions

Engineering, Information Science, Artificial Intelligence, Medicine, Cardiovascular System, Life Sciences, Bioengineering,
path planning   imitation learning   cardiac surgery   robotic navigation   minimally invasive surgery  

Application of Imitation Learning in Path Planning for Percutaneous Cardiac Interventions Academic Background Cardiac valve diseases, particularly mitral regurgitation (MR), are the third most common type of valvular heart disease globally and have a higher incidence in the elderly population. MR is characterized by the incomplete closure of the mi...

A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Virtual Reality   Sense of Presence   Neurophysiology   Mutual Information   Physiological Signals  

Sense of Presence in Virtual Reality: Exploration and Validation of Neurophysiological Markers Background Introduction In recent years, Virtual Reality (VR) technology has been widely applied in fields such as medicine, training, and rehabilitation. The core of VR lies in the user’s “sense of presence,” which refers to the immersive experience of “...

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Brain-Computer Interface   Selective Auditory Attention Decoding   Unsupervised Accuracy Estimation   Stimulus Reconstruction   Neurofeedback  

Unsupervised Accuracy Estimation for Brain-Computer Interfaces Based on Selective Auditory Attention Decoding Academic Background In complex auditory environments, humans can selectively focus on a specific sound source while ignoring other interfering sounds—a phenomenon known as the “cocktail party effect.” Selective Auditory Attention Decoding (...

Multi-scale and Multi-level Feature Assessment Framework for Classification of Parkinson’s Disease State from Short-term Motor Tasks

Information Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Parkinson’s disease   feature assessment   machine learning   wearable devices   short-term motor tasks  

Academic Background Parkinson’s Disease (PD) is the second most common chronic neurodegenerative disease, primarily affecting individuals aged 65 and above. With the global population aging, the prevalence of Parkinson’s disease is projected to increase from 7 million in 2015 to 13 million by 2040. Currently, the diagnosis of Parkinson’s disease ma...

Deep Reconstruction Framework with Self-Calibration Mechanisms for Accelerated Chemical Exchange Saturation Transfer Imaging

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Chemical Exchange Saturation Transfer Imaging   Deep Learning   Image Reconstruction   Self-Calibration   Fast Imaging  

Application of the Deep Reconstruction Framework with Self-Calibration Mechanisms (DEISM) in Accelerated Chemical Exchange Saturation Transfer Imaging Academic Background Chemical Exchange Saturation Transfer (CEST) imaging is a highly sensitive molecular magnetic resonance imaging technique capable of detecting biomolecules associated with various...