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Image: Professor Neil McNaughton
A researcher at the University of Otago has discovered a brain signal that will help improve the diagnosis and treatment of anxiety disorders
.
Professor Neil McNaughton and his team from the Department of Psychology have completed the final step of testing their biomarkers, the brain rhythms produced by the emotional conflicts of anxious patients
.
The research was funded by the NZ Health Research Council and is currently published in the Scientific Reports in the journal Nature
.
Studies have found that patients with anxiety disorders have high conflict rhythms, but the degree of conflict rhythms is different in different diagnoses
Those with high scores represent a specific anxiety disorder, and they are more likely to respond to specific anti-anxiety drugs
.
However, those patients with particularly high scores will develop resistance to traditional treatments
Professor McNaughton said that this biomarker is based on a theory that has been developed for more than 50 years
.
This is an important breakthrough, because the current diagnosis of psychosis uses symptoms (such as cough) rather than the cause (such as SARS-CoV-2), so there is no clear treatment goal.
Current treatment methods, whether it is medication or psychotherapy , The response rate is very low
He said that the new biomarkers can help develop new diagnostic tests and treatments for anxiety disorders, which means that patients will reach remission faster and have fewer treatment options
.
"Our biomarkers provide a direct basis for the development of new drugs and diagnostic tests that can guide treatment options and improve response rates
.
"
In the long run, the basic theory of this research should be able to make similar progress in the context of threat and stress-related diseases
.
"This may represent a revolution in the application of theoretical neuroscience to psychiatry, and the current trend of linking psychopathology with personality theory
.
"
Professor McNaughton said that better treatment of anxiety will help reduce medical costs, thereby reducing the burden on patients and their families, workplaces and the government
references:
Right frontal anxiolytic?sensitive EEG'theta' rhythm in the stop?signal task is a theory?based anxiety disorder biomarker
Nature, Scientific Reports
