Literature DB >> 28396293

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

Federico De Martino1, Essa Yacoub2, Valentin Kemper3, Michelle Moerel4, Kâmil Uludağ3, Peter De Weerd3, Kamil Ugurbil2, Rainer Goebel3, Elia Formisano4.   

Abstract

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computational models; Cortical columns; Cortical laminae; High spatial resolution; Subcortical; Ultra high magnetic fields

Mesh:

Year:  2017        PMID: 28396293     DOI: 10.1016/j.neuroimage.2017.03.060

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  34 in total

1.  Brain imaging with improved acceleration and SNR at 7 Tesla obtained with 64-channel receive array.

Authors:  Kamil Uğurbil; Edward Auerbach; Steen Moeller; Andrea Grant; Xiaoping Wu; Pierre-Francois Van de Moortele; Cheryl Olman; Lance DelaBarre; Scott Schillak; Jerahmie Radder; Russell Lagore; Gregor Adriany
Journal:  Magn Reson Med       Date:  2019-02-25       Impact factor: 4.668

2.  Cortical depth profiles of luminance contrast responses in human V1 and V2 using 7 T fMRI.

Authors:  Ingo Marquardt; Marian Schneider; Omer Faruk Gulban; Dimo Ivanov; Kâmil Uludağ
Journal:  Hum Brain Mapp       Date:  2018-03-25       Impact factor: 5.038

Review 3.  Progress in Imaging the Human Torso at the Ultrahigh Fields of 7 and 10.5 T.

Authors:  Kamil Uğurbil; Pierre-Francois Van de Moortele; Andrea Grant; Edward J Auerbach; Arcan Ertürk; Russell Lagore; Jutta M Ellermann; Xiaoxuan He; Gregor Adriany; Gregory J Metzger
Journal:  Magn Reson Imaging Clin N Am       Date:  2021-02       Impact factor: 2.266

4.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

5.  Ultra-high-resolution fMRI of Human Ventral Temporal Cortex Reveals Differential Representation of Categories and Domains.

Authors:  Eshed Margalit; Keith W Jamison; Kevin S Weiner; Luca Vizioli; Ru-Yuan Zhang; Kendrick N Kay; Kalanit Grill-Spector
Journal:  J Neurosci       Date:  2020-02-24       Impact factor: 6.167

6.  A temporal decomposition method for identifying venous effects in task-based fMRI.

Authors:  Kendrick Kay; Keith W Jamison; Ru-Yuan Zhang; Kamil Uğurbil
Journal:  Nat Methods       Date:  2020-09-07       Impact factor: 28.547

Review 7.  Cortical mechanisms of spatial hearing.

Authors:  Kiki van der Heijden; Josef P Rauschecker; Beatrice de Gelder; Elia Formisano
Journal:  Nat Rev Neurosci       Date:  2019-08-29       Impact factor: 34.870

8.  Long-term behavioral effects observed in mice chronically exposed to static ultra-high magnetic fields.

Authors:  Ivan Tkáč; Michael A Benneyworth; Tessa Nichols-Meade; Elizabeth L Steuer; Sarah N Larson; Gregory J Metzger; Kâmil Uğurbil
Journal:  Magn Reson Med       Date:  2021-04-06       Impact factor: 4.668

9.  Developmental Variation in Amygdala Volumes: Modeling Differences Across Time, Age, and Puberty.

Authors:  Justin D Russell; Monica A Marsee; Carl F Weems
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-08-25

Review 10.  New acquisition techniques and their prospects for the achievable resolution of fMRI.

Authors:  Saskia Bollmann; Markus Barth
Journal:  Prog Neurobiol       Date:  2020-10-23       Impact factor: 11.685

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