TY - JOUR
T1 - Ultra-high field MRI
T2 - Advancing systems neuroscience towards mesoscopic human brain function
AU - Dumoulin, Serge O
AU - Fracasso, Alessio
AU - van der Zwaag, Wietske
AU - Petridou, Natalia
AU - Siero, JCW
N1 - Funding 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 Grant 13339 (N.P.). The Spinoza Centre is a joint initiative of the University of Amsterdam, Academic Medical Center, VU University, VU University Medical Center, Netherlands Institute for Neuroscience and the Royal Netherlands Academy of Sciences.
Funding 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 Grant 13339 (N.P.). The Spinoza Centre is a joint initiative of the University of Amsterdam, Academic Medical Center, VU University, VU University Medical Center, Netherlands Institute for Neuroscience and the Royal Netherlands Academy of Sciences.
Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2018/3
Y1 - 2018/3
N2 - 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.
AB - 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.
KW - Ultra-high field
KW - 7 T
KW - MRI
KW - Cortical organization
KW - Cortical processing unit
KW - Hypercolumn
KW - Humans
KW - Magnetic Resonance Imaging/methods
KW - Neurosciences/methods
KW - Cerebral Cortex/anatomy & histology
KW - Functional Neuroimaging/methods
UR - http://www.scopus.com/inward/record.url?scp=85010960657&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2017.01.028
DO - 10.1016/j.neuroimage.2017.01.028
M3 - Review article
C2 - 28093360
SN - 1053-8119
VL - 168
SP - 345
EP - 357
JO - NeuroImage
JF - NeuroImage
ER -