Neuroscientists have come out with an efficient and reliable method of analyzing brain activity to detect autism in children.
The researchers from Case Western Reserve University School of Medicine and the University of Toronto recorded and analyzed dynamic patterns of brain activity with magnetoencephalography (MEG) to determine the brain`s functional connectivity - that is, its communication from one region to another. MEG measures magnetic fields generated by electrical currents in neurons of the brain.
Roberto Fernandez Galan, PhD, an assistant professor of neurosciences at Case Western Reserve and an electrophysiologist seasoned in theoretical physics led the research team that detected autism spectrum disorder (ASD) with 94 percent accuracy.
The new analytic method offers an efficient, quantitative way of confirming a clinical diagnosis of autism.