Brain & Mind Computational Seminar
23.3.2021 @ 10:00 - 11:00
A monthly seminar and venue for informal conversation about topics such as artificial intelligence, neuroscience, human behaviour, and digital humanities. Welcome!
Ultra-fast magnetic resonance encephalography
Vesa Kiviniemi (University of Oulu)
Functional MRI has been used to map relatively slow hemodynamic responses following neuronal activity changes with BOLD signal. Traditionally physiological signals like cardiorespiratory pulsations have been regarded as noise that aliases and masks the slow hemodynamic responses following neuronal activity. With the invention of the glymphatic brain clearance system, the physiological signals have quickly risen to the scientific spotlight as a source of highly valuable signal with regards to brain pathology predating diseases such as Alzheimer’s disease and epilepsy. In my talk, I will run through our experience with ultrafast MREG imaging that can capture the physiological signal sources and how the data has been used to reveal novel biomarkers for major brain diseases.
Jürgen Hennig (University Medical Center Freiburg)
The MR-encephalography sequence enables the acquisition whole-brain datasets with 3 mm isotropic resolution in less than 100 ms. It is based on the principles of one-voxel-one-coil imaging (OVOC), where the small sensitive volumes of individual coil elements in a multiarray-coil are used as the primary source of spatial encoding. MREG is being used for highly sensitive detection of functional activity in task-based fMRI as well as for dynamic observation of resting-state activity. In addition to a detailed investigation of BOLD-based fMRI, it also allows the dynamic observation of cardiorespiratory pulsatility. In my talk, I will present the basic principles as well as current methodological developments and applications.