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Abstract #2196

Laminar layer 7T fMRI-EEG reveals human alpha oscillations are predominately from superficial and deep layers

Daniel C. Marsh1, Rodika Sokoliuk2, Kevin M. Aquino3,4, Daisie O. Pakenham5, Ross Wilson2, Rosa Sanchez Panchuelo6, Sebastian C. Coleman1, Matthew J Brookes1, Simon Hanslmayr7, Stephen D. Mayhew2, Susan T Francis1, and Karen J Mullinger1,2
1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 2Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom, 3School of Physics, University of Sydney, Sydney, Australia, 4Turner Institute, Monash University, Melbourne, Australia, 5Clinical Neurophysiology, Queens Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, United Kingdom, 6Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom, 7Centre for Cognitive Neuroimaging,College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom


EEG alpha (8-13Hz) oscillations occur throughout the cortex but the generating mechanisms are poorly understood. Opinion is divided between alpha being driven by bottom-up, top-down or both of these processes. Using simultaneous 7T-fMRI-EEG with an eyes open/closed paradigm, we assess the generator of alpha by performing layer-fMRI analysis of GE-BOLD data to determine the strongest BOLD-alpha negative layer correlations. We show that, after accounting for draining vein effects using spatial deconvolution, alpha-BOLD correlations are strongest in the superficial and deep layers suggesting they are predominately driven by top-down processes.

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