(Originally presented Thursday, October 16, 2014)
Co-sponsored by the Department of Psychology and the Institute of Child Development at the University of Minnesota
The search is on for biological markers of mental disorders. Neuroimaging techniques that assess brain function (EEG, PET, MRI) are providing tools in this search. We are using magnetoencephalography (MEG), a unique neuroimaging technique that is simple (task free resting state), safe, short (1 minute), dynamic (based on ongoing activity collected every millisecond) and sensitive to changes in brain communication patterns. MEG allows excellent discrimination between controls and disorder-specific groups. We have studied nearly 2000 subjects. Findings on multiple select groups will be presented, highlighting neural differences in PTSD, trauma adaptation, and posttraumatic growth.
On October 23rd, BSC Director Apostolos Georgopoulos was one of 23 inaugural honorees at the commemoration of the new Medical School Wall of Scholarship. The Wall of Scholarship highlights the work of current faculty members with a primary appointment in the Medical School who have first or last author credits on a publication that has been cited at least 1000 times by two of three citation indices. Dr. Georgopoulos is the first author of the highly-cited 1986 paper in Science entitled Neuronal population coding of movement direction. The program featured comments from President Eric Kaler, Provost Karen Hanson, VP for Research Brian Herman, and Health Dean Brooks Jackson.
Apostolos P Georgopoulos
Peka Christova's paper "Innovations in Resting-state fMRI and MEG" is 'in press' at the Asian Journal of Physics, Vol. 23, No 5 (2014) 849-857.
Functional magnetic resonance imaging (fMRI) and magneto-encephalography (MEG) are modern imaging techniques that rely on physical phenomena to record brain activity. Both methods are non-invasive and require sophisticated equipment and recording conditions. The biological phenomena upon which they are based are different: fMRI measures the Blood Oxygenation Level-Dependent (BOLD) level, which reflects local hemodynamic changes, whereas MEG directly measures integrated local synaptic activity. The superior temporal resolution of MEG allows the assessment of short temporal interaction between the brain regions. Such assessments can apply to healthy subjects and patients. On the other hand, the superior spatial resolution of fMRI allows the precise localization of brain structures with a detailed inside view of brain connectivity patterns. The resting-state recordings of BOLD and MEG signals were analyzed as time series of each voxel/sensor. To estimate the true correlations between them, the prewhitened time series, called innovations, were used.
Please welcome Chelley Chorn, who will be maintaining the data processing pipeline at the Brain Sciences Center. Chelley is from Minneapolis and holds a BS in Physics with an emphasis in Computation from the University of Minnesota. After graduation, she programmed optical simulation software as a software developer for 3M.