Sensing enabled implantable devices and next-generation neurotechnology allow real-time
adjustments of invasive neuromodulation. The identification of symptom and disease …

Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …

Highlights•Neural interfaces continue to improve in channel count and form factor.•Low-
power machine learning and neuromorphic processors can be integrated onto neural …

Parkinson's disease (PD) is a chronic neurodegenerative disease of that predominantly
affects the elderly in today's world. For the diagnosis of the early stages of PD, effective and …

The application of closed-loop approaches in systems neuroscience and therapeutic
stimulation holds great promise for revolutionizing our understanding of the brain and for …

Deep brain stimulation (DBS) is a well-established neurosurgical procedure for movement
disorders that is also being explored for treatment-resistant psychiatric conditions. This …

The unfavorable outcome of acute ischemic stroke (AIS) with large vessel occlusion (LVO) is
related to clinical factors at multiple time points. However, predictive models used for …

In this paper, we use a cortex-basal ganglia resonance network to explore the possible Hopf
bifurcation mechanism of beta oscillation. Different from traditional viewpoints, this model …

Introduction Deep brain stimulation (DBS) is a life-changing treatment for patients with
Parkinson's disease (PD) and gives the unique opportunity to directly explore how basal …

Background: Parkinson disease (PD) is the second most prevalent neurodegenerative
disease, with around 10 million people with PD worldwide. Current assessments of PD …