Neural networks are emblematic of complex systems, so it's no surprise that the field of neurology is eclectic and intricate, too. Main challenges for neurologists are therapies of and research on stroke, seizures, movement disorders such as Parkinson's disease, autoimmune disorders such as multiple sclerosis and dementias such as Alzheimer's disease.
A new method to monitor blood flow in the brain helps neurosurgeons detect the risk of a stroke during surgery – and potentially prevent it. This could also be useful for other types of operations.
Using electrodes implanted in the brain, researchers observed specific brain waves that could serve as a biomarker for obsessive-compulsive disorder (OCD) and are an important step towards more targeted treatments.
Two dogs have been trained to distinguish between sebum swabs from people with and without Parkinson’s disease. This is especially relevant, as a definitive diagnostic test remains elusive.
In an unconventional, but promising approach to treat neurological conditions like Parkinson, researchers use nanoscale magnetic pull to rebuild lost conncections between brain cells.
Coating an electronic neural implant with a potent anti-inflammatory drug helps the body better tolerate the implant, improving its long-term performance and stability, according to new research.
Molecular markers in saliva could reveal the risk of a person developing major diseases such as cancer, cardiovascular diseases, diabetes and neurodegenerative diseases, new research finds.
Using a keyhole surgery approach, surgeons have found a new way to access previously difficult-to-reach brain regions with faster recovery times. With the help of 3D modelling technology, the neurosurgeons succeeded in removing complex tumours from the cavernous sinus through the eye socket, avoiding complex brain surgery and enabling their patients to make a quicker recovery.
In a world first, researchers have identified a set of biomarkers that could someday make it easy to spot Parkinson's disease in a patient’s blood sample.
Personalised, responsive assistance for patients with dyspraxia: Assistive robots could help patients with motor coordination conditions by detecting and predicting intent, effort and fatigue.
New research shows that dysfunction in the mitochondria linked to amyotrophic lateral sclerosis (ALS) occurs before the cells show other signs of disease, which was not previously known.
Movement disorders often show overlapping symptoms, making it difficult for doctors to make the correct diagnosis. A new AI tool could help distinguish between different disorders, such as tremor and myoclonus.
As Emergency Departments (EDs) get ever busier, focus has fallen on the role artificial Intelligence (AI) can play in supporting patients and clinicians in delivering urgent care. The topic took centre stage in a session looking at the ethics of AI in the ED at the annual congress of the European Society of Emergency Medicine (EUSEM) in Copenhagen.
Researchers evaluated the clinical value of using ChatGPT to interpret seizure semiology in order to predict which brain areas to remove to achieve seizure freedom in epilepsy patients.
Researchers from Université Laval discovered that the retina of people with Parkinson's disease responds differently to light than that of healthy people. This offers new diagnostic options.
Bringing diagnostics and therapy closer together - that is the basic concept behind theranostics. Through further development of its PET/MR scanners, Siemens Healthineers aims to advance this approach. Andreas Schneck, Head of the MRI Division at Siemens Healthineers, talks about the new system, which was also presented at the European Congress of Radiology (ECR) in Vienna, and its advantages in…
Using an advanced PET scanner, US radiologists explore how cancer, neurodegenerative diseases and other systemic conditions, can affect the brain by assessing the impact on the blood-brain barrier.
Using vibrations to help people living with Parkinson's disease regain motor control: Engineering students have created a special glove that aims to reduce the symptoms of the condition.
A new study found that a significant proportion of Parkinson's disease diagnoses are later corrected. The results demonstrate the need for improved diagnostic processes.
A new AI tool can extract key information from brain MRI scans of multiple sclerosis (MS) patients. This could be used to improve disease and treatment response monitoring.
