Laminar time course extraction over extended cortical areas

We propose a new method to reliably and accurately extract laminar time courses from fMRI data. We use a spatial General Linear Model to disentangle laminar signals instead of interpolating through and integrating over a cortical area. We show that the Point Spread Function of the method is much sharper, proving better signal extraction. This may allow for larger voxel sizes to get around problems such as low SNR and severe distortions in EPI with which laminar analysis has dealt.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.