A 1. 8 million five-year study led by a University of Toronto engineer and an internationally renowned expert on human brain mapping has uncovered a mysterious deep brain region at the level of the brainstem that acts as a subset for the performance of deep mental operations.
Leonhard Dauml a professor of engineering-based on clinical biophysical and bioengineering has long been a researcher at U of T Scarborough and department head of the Department of Bioengineering. His group analyzed sound signal brain activity and electrical patterns in The Neuro Institute at the U of T Scarborough.
Dauml and his co-researchers have studied what they call the concussive cortex – a region of the brain that runs from the back of the head through the skull and can detect threatening sounds. In the present study they sought to identify brain activity patterns in people with autism spectrum disorder (ASD) who have trouble perceiving speaking and balance.
Our study signal data is a limitation because it does not include crucial brain activity patterns in the patients meaning the data cannot be used to develop new clinical tests for the condition said Dauml. However we expect such data will aid computer models and neuronal models of neurological disorders to better mimic the critical brain activity parameters observed in real patients.
The brain activity data analyzed were collected by the team using a high-performance high-precision quantitative brain imaging system that is the first of its kind.
They analyzed magnetic resonance signals in 15 individuals with subtype-1 ASD and 15 healthy control subjects. They used structural magnetic resonance tomography (SM-Rupture) a non-invasive technology that made the scans sensitive but time-limited and also made the functional data inaccessible.
An extremely narrow range of brain activities even within the very large regions is not easily captured using the exact same method and with the limited functional data available our studies must be simple and much more focused on simplicity than effect size said Dauml. We therefore seek to minimise the cost associated with high-powered high-quality data analysis and the high level of clinical data obtained in such studies.
The 10 subjects performed five deep visual mental operations (five if brain activity patterns related to Walking Vertically Velo Oriented Self Momentum and Parter Viewed Inferiority) accompanied by a visualization of anatomic areas within the brain.
Data processing was on a maximum of 16-bit N-FA sampling codecs.