High-resolution functional MRI of the human amygdala at 7 T

R. Sladky, P. Baldinger, Georg Kranz, J. Tröstl, A. Höflich, R. Lanzenberger, E. Moser, C. Windischberger

Research output: Journal article publicationJournal articleAcademic researchpeer-review

65 Citations (Scopus)


Functional magnetic resonance imaging (fMRI) has become the primary non-invasive method for investigating the human brain function. With an increasing number of ultra-high field MR systems worldwide possibilities of higher spatial and temporal resolution in combination with increased sensitivity and specificity are expected to advance detailed imaging of distinct cortical brain areas and subcortical structures. One target region of particular importance to applications in psychiatry and psychology is the amygdala. However, ultra-high field magnetic resonance imaging of these ventral brain regions is a challenging endeavor that requires particular methodological considerations. Ventral brain areas are particularly prone to signal losses arising from strong magnetic field inhomogeneities along susceptibility borders. In addition, physiological artifacts from respiration and cardiac action cause considerable fluctuations in the MR signal. Here we show that, despite these challenges, fMRI data from the amygdala may be obtained with high temporal and spatial resolution combined with increased signal-to-noise ratio. Maps of neural activation during a facial emotion discrimination paradigm at 7 T are presented and clearly show the gain in percental signal change compared to 3 T results, demonstrating the potential benefits of ultra-high field functional MR imaging also in ventral brain areas. © 2011 Elsevier Ireland Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)728-733
Number of pages6
JournalEuropean Journal of Radiology
Issue number5
Publication statusPublished - 1 May 2013
Externally publishedYes


  • 7 T
  • Amygdala
  • Emotion discrimination
  • Magnetic resonance imaging (MRI)
  • Ventral brain

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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