Ultra-high-field MRI reveals language centres in the brain in much more detail

In a new investigation by the University Department of Neurology, it has been possible for the first time to demonstrate that the areas of the brain that are important for understanding language can be pinpointed much more accurately using ultra-high-field MRI (7 Tesla) than with conventional clinical MRI scanners. This helps to protect these areas more effectively during brain surgery and avoid accidentally damaging it.

Before brain surgery, it is important to precisely understand the areas of the brain required for language in order to avoid injuring them during the procedure. Their position can shift considerably, especially in patients with tumours or brain injuries. The brain’s flexibility also means that language centres can shift to other regions. If the areas responsible for language control and processing are injured during a brain operation, the patient can be left unable to communicate. In order to create a “map” of the language control centres prior to the operation, functional magnetic resonance imaging (fMRI) is used these days.

A multi-centre study from 2013 demonstrated the advantages of fMRI-assisted localisation of the motor centres in the brain. In a new investigation by the working group led by Roland Beisteiner (University Department of Neurology), it has been possible for the first time to demonstrate that the areas of the brain that are important for understanding language can be pinpointed even more accurately using ultra-high-field MRI (7 Tesla) than with conventional clinical MRI scanners. The focus lies on the two most important language centres in the brain known as Wernicke’s area (which controls the understanding of language) and Broca’s area (which controls the motor functions involved with speech).

The brain is scanned for activity while the patient is carrying out speech exercises. This allows the areas required for speech to be localised much more accurately than previously. “Ultra-high-field MR offers much greater sensitivity than classic MRI scanners”, explains Roland Beisteiner, “allowing even very weak signals to be recorded in areas that would otherwise have been missed.”