Abstract #3375

Combining functional and structural information for optimal planning during ultrahigh temporal resolution line-scanning

Jurjen Heij¹, Luisa Raimondo¹, Jeroen C.W. Siero^1,2, Serge O Dumoulin^1,3, Wietske van der Zwaag¹, and Tomas Knapen^1,3

¹Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, ²Radiology, University Medical Centre Utrecht, Utrecht, Netherlands, ³Experimental and Applied Psychology, VU University, Amsterdam, Netherlands

Depth-resolved fMRI is an emerging field growing in popularity given the potential of separating feedforward from feedback signals. When employing line-scanning methods, we sacrifice coverage in order to sample BOLD-responses with ultra-high temporal and spatial resolution. With a limited field-of-view being targeted, one needs to know precisely where to place the line. Here we describe a multi-session approach that combines functional and structural information for an optimal acquisition of line-scanning data based on user-defined properties. We show its feasibility of obtaining hemodynamic response functions of a specific cortical patch.

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