Ultra-high field MRI: Advancing systems neuroscience towards mesoscopic human brain function

Publication date

2018-03

Authors

Dumoulin, Serge O.
Fracasso, Alessio
van der Zwaag, Wietske
Siero, J. C.W.ORCID 0000-0001-5079-2868ISNI 0000000394978810
Petridou, NataliaORCID 0000-0002-0783-0387ISNI 0000000392331001

Editors

Advisors

Supervisors

Document Type

Article

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License

taverne

Abstract

Human MRI scanners at ultra-high magnetic field strengths of 7 T and higher are increasingly available to the neuroscience community. A key advantage brought by ultra-high field MRI is the possibility to increase the spatial resolution at which data is acquired, with little reduction in image quality. This opens a new set of opportunities for neuroscience, allowing investigators to map the human cortex at an unprecedented level of detail. In this review, we present recent work that capitalizes on the increased signal-to-noise ratio available at ultra-high field and discuss the theoretical advances with a focus on sensory and motor systems neuroscience. Further, we review research performed at sub-millimeter spatial resolution and discuss the limits and the potential of ultra-high field imaging for structural and functional imaging in human cortex. The increased spatial resolution achievable at ultra-high field has the potential to unveil the fundamental computations performed within a given cortical area, ultimately allowing the visualization of the mesoscopic organization of human cortex at the functional and structural level.

Keywords

Ultra-high field, 7 T, MRI, Cortical organization, Cortical processing unit, Hypercolumn, Humans, Magnetic Resonance Imaging/methods, Neurosciences/methods, Cerebral Cortex/anatomy & histology, Functional Neuroimaging/methods, Taverne, Neurology, Cognitive Neuroscience, Journal Article, Review, Research Support, Non-U.S. Gov't

Citation

Dumoulin, S O, Fracasso, A, van der Zwaag, W, Siero, J C W & Petridou, N 2018, 'Ultra-high field MRI : Advancing systems neuroscience towards mesoscopic human brain function', NeuroImage, vol. 168, pp. 345-357. https://doi.org/10.1016/j.neuroimage.2017.01.028