Meeting Banner
Abstract #5246

Prospective Motion Correction of Multi-Band Multi-Echo fMRI During Overt Speech to Localize the Language Network

Prantik Kundu1, Joao Correia2, Saadi Ghatan3, Daniel Samber4, Michael Herbst5, and Benedikt A Poser2

1Radiology and Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Cognitive Neuroscience, Maastricht University, 3Neurosurgery, St. Lukes Roosevelt Hospital Center, New York, NY, 4Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5University Hospital Freiburg, Freiburg, Germany

The functional localization of language and other clinically relevant brain networks at the subject-level has been limited by fMRI artifacts such as head motion. These artifacts have forced task-based fMRI for functional localization to be designed around strict timing and strong constraints, such as silent reading in 20-second task-rest blocks. Such limits make experiments hard to follow by patients and not ecologically valid. Dealing with these artifacts, especially at patient level, has been challenging with standard fMRI methods. Here we combine the acquisition technologies of multi-echo fMRI, multi-band acceleration, camera-based prospective motion correction, and 7T MRI, to image canonical language and other networks during overt speech with 7T MRI using stimuli with complex language content with naturalistic timing.

This abstract and the presentation materials are available to members only; a login is required.

Join Here