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. Aquino^3,4, 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 Mullinger^1,2

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

Synopsis

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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