Transactions on Neural Systems and Rehabilitation Engineering

Featured Articles
Optimal Control Perspective on Parkinson’s Disease: Increased Delay Between State Estimator and Controller Produces Tremor
Parkinson’s disease produces tremor in a large subset of patients despite generally inhibiting movement. The pathophysiology of parkinsonian tremor is unclear, leading to uncertainty in how and why treatments reduce tremor with varying effectiveness. Models for parkinsonian tremor attempt to explain the underlying principles of tremor generation in the central nervous system, often focusing on neural activity of specific substructures... Read more
Featured Articles
Accelerometry-Based Digital Gait Characteristics for Classification of Parkinson’s Disease: What Counts?
Gait may be a useful biomarker that can be objectively measured with wearable technology to classify Parkinson’s disease (PD). This study aims to: (i) comprehensively quantify a battery of commonly utilized gait digital characteristics (spatiotemporal and signal-based), and (ii) identify... Read more
Articles, Published Articles
Intraoperative Localization of STN during DBS Surgery using a Data-driven Model
A new approach is presented for localizing the Subthalamic Nucleus (STN) during Deep Brain Stimulation (DBS) surgery based on microelectrode recordings (MERs). DBS is an accepted treatment for individuals living with Parkinson’s Disease (PD). This surgery involves implantation of a... Read more
Articles, Published Articles
Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations using Linear Discriminant Analysis and Genetically Optimized Neural Network
    Early Access Note: Early Access articles are new content made available in advance of the final electronic or print versions and result from IEEE’s Preprint or Rapid Post processes. Preprint articles are peer-reviewed but not fully edited. Rapid Post articles are... Read more
Featured Articles
Neurofeedback Control in Parkinsonian Patients Using Electrocorticography Signals Accessed Wirelessly With a Chronic, Fully Implanted Device
       Parkinson’s disease (PD) is characterized by motor symptoms such as rigidity and bradykinesia that prevent normal movement. Beta band oscillations (13-30 Hz) in neural local field potentials (LFPs) have been associated with these motor symptoms. Here, three PD patients implanted... Read more
Featured Articles
Improvement of Pyramidal Tract Side Effect Prediction Using a Data-Driven Method in Subthalamic Stimulation
Subthalamic nucleus deep brain stimulation (STN DBS) is limited by the occurrence of pyramidal tract side effect (PTSE) induced by electrical activation of the pyramidal tract. Predictive models are needed to assist the surgeon during the electrode trajectory pre-planning. The... Read more
Featured Articles, Special Issue: BRAIN
Analysis of Oscillatory Neural Activity in Series Network Models of Parkinson’s Disease During Deep Brain Stimulation
Clare M. Davidson, Annraoi M. de Paor, Hayriye Cagnan and Madeleine M. Lowery,  University College Dublin, Ireland Parkinson’s disease is a progressive, neurodegenerative disorder which primarily affects the motor system in humans. Recordings from the basal ganglia area of the brain reveal... Read more
Featured Articles, Special Issues
Special Section: Enabling Technologies for Parkinson’s Disease Management
Parkinson’s disease is the most common neurological movement disorder, with a prevalence of up to 2% in the elderly. The new research published in this Special issue represents the edge between the current technical abilities of engineering solutions and clinical... Read more
Featured Articles
Prediction of Freezing of Gait in Parkinson’s from Physiological Wearables: An Exploratory Study
Freezing of gait (FoG) is a common and severe gait impairment among patients with advanced Parkinson’s disease. FoG is associated with falls and negatively impacts the patient’s quality of life. Wearable systems that detect FoG in real time have been... Read more
Featured Articles
Analyzing Activity Behavior and Movement in a Naturalistic Environment Using Smart Home Techniques
One of the many services that intelligent systems can provide is the ability to analyze the impact of different medical conditions on daily behavior. This study uses smart homes and wearable sensors to collect data while (n=84) older adults perform... Read more