Combined subthalamic and nucleus basalis of Meynert deep brain stimulation for Parkinson's disease with dementia (DEMPARK-DBS): protocol of a randomized, sham-controlled trial

Parkinson disease therapy: current strategies and future research priorities

Parkinson disease (PD) is the fastest growing neurological disorder globally and poses substantial management challenges owing to progressive disability, emergence of levodopa-resistant symptoms, and treatment-related complications. In this Review, we examine the current state of research into PD therapies and outline future priorities for advancing our understanding and treatment of the disease. We identify two main research priorities for the coming years: first, slowing the progression of the disease through the integration of sensitive biomarkers and targeted biological therapies, and second, enhancing existing symptomatic treatments, encompassing surgical and infusion therapies, with the goal of postponing complications and improving long-term patient management. The path towards disease modification is impeded by the multifaceted pathophysiology and diverse mechanisms underlying PD. Ongoing studies are directed at α-synuclein aggregation, complemented by efforts to address specific pathways associated with the less common genetic forms of the disease. The success of these efforts relies on establishing robust end points, incorporating technology, and identifying reliable biomarkers for early diagnosis and continuous monitoring of disease progression. In the context of symptomatic treatment, the focus should shift towards refining existing approaches and fostering the development of novel therapeutic strategies that target levodopa-resistant symptoms and clinical manifestations that substantially impair quality of life.

Basal forebrain activation improves working memory in senescent monkeys

Brain aging contributes to cognitive decline and risk of dementia. Degeneration of the basal forebrain cholinergic system parallels these changes in aging, Alzheimer's dementia, Parkinson's dementia, and Lewy body dementia, and thus is a common element linked to executive function across the lifespan and in disease states. Here, we tested the potential of one-hour daily intermittent basal forebrain stimulation to improve cognition in senescent monkeys, and its mechanisms of action. Stimulation in five animals improved working memory duration in 8-12 weeks across all animals, with peak improvements observed in the first four weeks. In an ensuing three month period without stimulation, improvements were retained. With additional stimulation, performance remained above baseline throughout the 15 months of the study. Studies with a cholinesterase inhibitor produced inconsistent improvements in behavior. One of five animals improved significantly. Manipulating the stimulation pattern demonstrated selectivity for both stimulation and recovery period duration. Brain stimulation led to acute increases in cerebrospinal levels of tissue plasminogen activator, which is an activating element for two brain neurotrophins, Nerve Growth Factor (NGF) and Brain-Derived Growth Factor (BDNF). Stimulation also led to improved glucose utilization in stimulated hemispheres relative to contralateral. Glucose utilization also consistently declines with aging and some dementias. Together, these findings suggest that intermittent stimulation of the nucleus basalis of Meynert improves executive function and reverses some aspects of brain aging.

Quantum Computing in the Realm of Neurosurgery

Quantum computing leverages the principles of quantum mechanics to provide unprecedented computational power by processing data in a fundamentally different way from classical binary computers. Quantum computers use "qubits" which superimpose 0 and 1. Because qubits can exist in multiple states at the same time, quantum computers can perform "quantum parallelism" wherein data are processed simultaneously rather than sequentially. The quantum parallelism is what enables the computer to have exponentially larger processing capabilities and consider all potential outcomes simultaneously to derive solutions. Our study aims to explore aspects of neurosurgery through which quantum computing could improve patient outcomes and enhance quality of care. Quantum computing has the potential for future applications in neuroprosthetics, neurostimulation, surgical precision, diagnosis, and patient privacy and security. It promises improved patient outcomes, enhanced surgical precision, and personalized healthcare delivery. With its inherent sensitivity and precision, quantum computing could advance the understanding of disease processes and development, providing neurosurgeons with deeper insight into patient pathologies. Challenges such as biocompatibility, cost, and ethical considerations remain significant barriers to integrating the technology into neurosurgical practice. Addressing these challenges will be crucial for realizing the transformative potential of quantum computing in advancing neurosurgical care and improving clinical outcomes.