The impact of ultra-high field MRI on cognitive and computational neuroimaging

被引:76
|
作者
De Martino, Federico [1 ,2 ]
Yacoub, Essa [2 ]
Kemper, Valentin [1 ]
Moerel, Michelle [1 ,3 ]
Uludag, Kamil [1 ]
De Weerd, Peter [1 ]
Ugurbil, Kamil [2 ]
Goebel, Rainer [1 ]
Formisano, Elia [1 ,3 ]
机构
[1] Maastricht Univ, Fac Psychol & Neurosci, Dept Cognit Neurosci, Oxfordlaan 55, NL-6229 ER Maastricht, Netherlands
[2] Univ Minnesota, Dept Radiol, Ctr Magnet Resonance Res, 2021 Sixth St SE, Minneapolis, MN 55455 USA
[3] Maastricht Univ, Maastricht Ctr Syst Biol, Univ Singel 60, NL-6229 ER Maastricht, Netherlands
关键词
Ultra high magnetic fields; High spatial resolution; Subcortical; Computational models; Cortical laminae; Cortical columns; HIGH-RESOLUTION FMRI; PRIMARY SOMATOSENSORY CORTEX; HUMAN BRAIN ACTIVITY; HUMAN VISUAL-CORTEX; SPIN-ECHO EPI; 7 TESLA FMRI; FUNCTIONAL MRI; GRADIENT-ECHO; WHOLE-BRAIN; SPATIAL-RESOLUTION;
D O I
10.1016/j.neuroimage.2017.03.060
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The ability to measure functional brain responses non-invasively with ultra high field MRI (7 T and above) represents a unique opportunity in advancing our understanding of the human brain. Compared to lower fields (3 T and below), ultra high field MRI has an increased sensitivity, which can be used to acquire functional images with greater spatial resolution, and greater specificity of the blood oxygen level dependent (BOLD) signal to the underlying neuronal responses. Together, increased resolution and specificity enable investigating brain functions at a submillimeter scale, which so far could only be done with invasive techniques. At this mesoscopic spatial scale, perception, cognition and behavior can be probed at the level of fundamental units of neural computations, such as cortical columns, cortical layers, and subcortical nuclei. This represents a unique and distinctive advantage that differentiates ultra high from lower field imaging and that can foster a tighter link between fMRI and computational modeling of neural networks. So far, functional brain mapping at submillimeter scale has focused on the processing of sensory information and on well-known systems for which extensive information is available from invasive recordings in animals. It remains an open challenge to extend this methodology to uniquely human functions and, more generally, to systems for which animal models may be problematic. To succeed, the possibility to acquire high-resolution functional data with large spatial coverage, the availability of computational models of neural processing as well as accurate biophysical modeling of neurovascular coupling at mesoscopic scale all appear necessary.
引用
收藏
页码:366 / 382
页数:17
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