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

Dumoulin, S.O., Fracasso, A. , van der Zwaag, W., Siero, J.C.W. and Petridou, N. (2018) Ultra-high field MRI: advancing systems neuroscience towards mesoscopic human brain function. NeuroImage, 168, pp. 345-357. (doi: 10.1016/j.neuroimage.2017.01.028) (PMID:28093360)

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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.

Item Type:Articles
Additional Information:This work has supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 641805 (S.D.), Ammodo KNAW Award (S.D.) and a Netherlands Organization for Scientific Research (NWO) Vidi Grant13339 (N.P.).
Glasgow Author(s) Enlighten ID:Fracasso, Dr Alessio
Authors: Dumoulin, S.O., Fracasso, A., van der Zwaag, W., Siero, J.C.W., and Petridou, N.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:NeuroImage
ISSN (Online):1095-9572
Published Online:16 January 2017

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