Subregional Amygdala Functional Connectivity at 3T: Comparison of High-Resolution 2D and 3D fMRI Acquisitions

Sheryl L Foster1,2, Ramon Landin-Romero1,3, Sarah Lewis1,4

  • 1Discipline of Medical Imaging Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.

Abstract

Insights

High spatial resolution functional MRI (fMRI) using 3D acquisition better identifies amygdala subregional connections, particularly to subcortical structures. This advances understanding of amygdala function in conditions like major depressive disorder.

Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • Brain Connectivity

Background:

  • Amygdala dysfunction is linked to major depressive disorder.
  • Current fMRI studies often treat the amygdala as a single entity, overlooking its heterogeneity.
  • Existing functional connectivity investigations use standard or low spatial resolution data.

Purpose of the Study:

  • To compare 2D and 3D high spatial resolution fMRI acquisition strategies.
  • To identify amygdala functional connectivity at a subregional level.
  • To investigate the capabilities of novel 3D fMRI in imaging subregional amygdala connections.

Main Methods:

  • Resting-state fMRI data acquired at 3T in 10 healthy controls using 2D and 3D Gradient-Echo Echo Planar Imaging (GRE-EPI) sequences.
  • Whole-brain, voxel-wise functional connectivity calculated using the whole amygdala and six subregional seeds (basolateral, centromedial, superficial).

Main Results:

  • 3D fMRI revealed stronger bilateral connections from centromedial amygdala subregions to subcortical structures (brainstem, hippocampus) and within the amygdala.
  • 2D fMRI showed stronger connections to cortical regions.
  • Functional connectivity patterns differed between whole amygdala and subregional analyses, and between 2D and 3D acquisitions.

Conclusions:

  • Current 3T fMRI acquisition techniques have underutilized capabilities for subregional amygdala analysis.
  • High spatial resolution 2D GRE-EPI (15.6 mm³ voxels) can map amygdala functional connectivity at a subregional level.
  • Novel 3D GRE-EPI (8 mm³ voxels) shows potential to outperform 2D in detecting amygdala subregional connections to challenging subcortical targets.