Researchers develop diagnostic test for motor neurone disease

NewsGuard 100/100 Score

imageNeuRA researchers are one step closer to developing a diagnostic test for motor neurone disease. Dr Steve Vucic, from Neuroscience Research Australia, says the test will allow people with motor neurone disease to be diagnosed up to eight months earlier than is currently possible.

“At the moment, we diagnose motor neurone disease using clinical signs, but it can take months to satisfy this criteria,” he says.

“If we can diagnose motor neurone disease earlier, we can initiate treatment much earlier and improve the patient’s quality of life. This may also translate into better efficacy of the medication used to treat motor neurone disease.”

Motor neurone disease is a degenerative disease that causes rapidly progressive muscle weakness. The disease affects nerve cells, called motor neurons, that control the muscles for moving, speaking, breathing and swallowing.

Motor neurone disease typically affects people in their mid-50s and is universally fatal; survival is approximately 2-5 years from the onset of symptoms. Although there is currently no cure, a medication called riluzole slows the progression of the disease.

In the early stages of motor neurone disease, the level of electrical activity in the brain increases. The new diagnostic test, called threshold tracking transcranial magnetic stimulation (TTTMS), employs magnetic stimulation to measure this ‘cortical hyperexcitability’ in the brain.

Dr Vucic says this new technique is faster and more precise than older techniques to measure cortical hyperexcitability and will allow clinicians and researchers to discriminate between motor neurone disease and conditions that can look similar.

“This will help give patients some certainty,” says Dr Vucic. “Motor neurone disease is a life sentence, whereas some of these other conditions are treatable.”

The technique will also allow people diagnosed with motor neurone disease to participate in drug trials at an earlier stage in their disease.

“This will greatly assist our research in trying to find more effective treatments for this tragic disease,” says Dr Vucic.

Dr Vucic says the next stage is for the technique to be validated by other research groups.

The study was published in the journal Clinical Neurophysiology.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Advances and hurdles: The impact of AI on oncology care efficiency and mortality rates