HiHi fMRI: a data-reordering method for measuring the hemodynamic response of the brain with high temporal resolution and high SNR

Author:

Nagy Zoltan123ORCID,Hutton Chloe4ORCID,David Gergely5ORCID,Hinterholzer Natalie6ORCID,Deichmann Ralf47ORCID,Weiskopf Nikolaus48ORCID,Vannesjo S Johanna9ORCID

Affiliation:

1. Laboratory for Social and Neural Systems Research (SNS Lab) , University Hospital Zurich, , Zurich CH-8091 , Switzerland

2. Rämistrasse 100, University of Zurich , University Hospital Zurich, , Zurich CH-8091 , Switzerland

3. Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square , University College London, London WC1N 3BG , UK

4. Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology , 12 Queen Square, University College London, London WC1N 3BG , UK

5. Spinal Cord Injury Center, Balgrist University Hospital, Forchstrasse 340, University of Zurich , Zurich CH-8008 , Switzerland

6. SCMI, Swiss Center for Musculoskeletal Imaging , Balgrist Campus AG, Lengghalde 5, Zurich CH-8008 , Switzerland

7. Brain Imaging Centre, Goethe University Frankfurt, University Hospital Campus , Haus 95H, Schleusenweg 2-16, Frankfurt am Main D-60528 , Germany

8. Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences , Stephanstrasse 1a, Leipzig 04103 , Germany

9. Department of Physics, Norwegian University of Science and Technology , Høgskoleringen 5, Trondheim 7491 , Norway

Abstract

Abstract There is emerging evidence that sampling the blood-oxygen-level-dependent (BOLD) response with high temporal resolution opens up new avenues to study the in vivo functioning of the human brain with functional magnetic resonance imaging. Because the speed of sampling and the signal level are intrinsically connected in magnetic resonance imaging via the T1 relaxation time, optimization efforts usually must make a trade-off to increase the temporal sampling rate at the cost of the signal level. We present a method, which combines a sparse event-related stimulus paradigm with subsequent data reshuffling to achieve high temporal resolution while maintaining high signal levels (HiHi). The proof-of-principle is presented by separately measuring the single-voxel time course of the BOLD response in both the primary visual and primary motor cortices with 100-ms temporal resolution.

Funder

European Research Council under the European Union’s Seventh Framework Programme

Wellcome Trust

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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