Literature DB >> 19261421

Investigation of high-resolution functional magnetic resonance imaging by means of surface and array radiofrequency coils at 7 T.

Wietske van der Zwaag1, José P Marques, Martin Hergt, Rolf Gruetter.   

Abstract

In this investigation, high-resolution, 1x1x1-mm(3) functional magnetic resonance imaging (fMRI) at 7 T is performed using a multichannel array head coil and a surface coil approach. Scan geometry was optimized for each coil separately to exploit the strengths of both coils. Acquisitions with the surface coil focused on partial brain coverage, while whole-brain coverage fMRI experiments were performed with the array head coil. BOLD sensitivity in the occipital lobe was found to be higher with the surface coil than with the head array, suggesting that restriction of signal detection to the area of interest may be beneficial for localized activation studies. Performing independent component analysis (ICA) decomposition of the fMRI data, we consistently detected BOLD signal changes and resting state networks. In the surface coil data, a small negative BOLD response could be detected in these resting state network areas. Also in the data acquired with the surface coil, two distinct components of the positive BOLD signal were consistently observed. These two components were tentatively assigned to tissue and venous signal changes.

Mesh:

Year:  2009        PMID: 19261421     DOI: 10.1016/j.mri.2009.01.013

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  10 in total

1.  Negative BOLD-fMRI signals in large cerebral veins.

Authors:  Marta Bianciardi; Masaki Fukunaga; Peter van Gelderen; Jacco A de Zwart; Jeff H Duyn
Journal:  J Cereb Blood Flow Metab       Date:  2010-09-22       Impact factor: 6.200

Review 2.  In vivo structural imaging of the cerebellum, the contribution of ultra-high fields.

Authors:  José P Marques; Rolf Gruetter; Wietske van der Zwaag
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

Review 3.  Magnetic resonance imaging at ultrahigh fields.

Authors:  Kamil Ugurbil
Journal:  IEEE Trans Biomed Eng       Date:  2014-03-25       Impact factor: 4.538

4.  Mapping and characterization of positive and negative BOLD responses to visual stimulation in multiple brain regions at 7T.

Authors:  João Jorge; Patrícia Figueiredo; Rolf Gruetter; Wietske van der Zwaag
Journal:  Hum Brain Mapp       Date:  2018-02-20       Impact factor: 5.038

Review 5.  Imaging at ultrahigh magnetic fields: History, challenges, and solutions.

Authors:  Kamil Uğurbil
Journal:  Neuroimage       Date:  2017-07-08       Impact factor: 6.556

6.  Reliability of the depth-dependent high-resolution BOLD hemodynamic response in human visual cortex and vicinity.

Authors:  Jung Hwan Kim; David Ress
Journal:  Magn Reson Imaging       Date:  2017-01-28       Impact factor: 2.546

7.  Whole brain high-resolution functional imaging at ultra high magnetic fields: an application to the analysis of resting state networks.

Authors:  Federico De Martino; Fabrizio Esposito; Pierre-Francois van de Moortele; Noam Harel; Elia Formisano; Rainer Goebel; Kamil Ugurbil; Essa Yacoub
Journal:  Neuroimage       Date:  2011-05-10       Impact factor: 6.556

8.  Paradigm free mapping with sparse regression automatically detects single-trial functional magnetic resonance imaging blood oxygenation level dependent responses.

Authors:  César Caballero Gaudes; Natalia Petridou; Susan T Francis; Ian L Dryden; Penny A Gowland
Journal:  Hum Brain Mapp       Date:  2011-11-28       Impact factor: 5.038

Review 9.  fMRI at High Spatial Resolution: Implications for BOLD-Models.

Authors:  Jozien Goense; Yvette Bohraus; Nikos K Logothetis
Journal:  Front Comput Neurosci       Date:  2016-06-28       Impact factor: 2.380

10.  Across the adult lifespan the ipsilateral sensorimotor cortex negative BOLD response exhibits decreases in magnitude and spatial extent suggesting declining inhibitory control.

Authors:  Stephen D Mayhew; Sebastian C Coleman; Karen J Mullinger; Cam Can
Journal:  Neuroimage       Date:  2022-03-09       Impact factor: 7.400

  10 in total

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