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Published on: February 24, 2021
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.
Background And Purpose:
Amygdala dysfunction is implicated in major depressive disorder. Despite wide acknowledgement of its heterogeneity, the amygdala is predominantly considered as a single entity and functional connectivity investigations have reported findings using standard or low spatial resolution functional MRI data. This study compared the capabilities of two high spatial resolution acquisition strategies, the gold standard 2D and a novel 3D, in identifying amygdala functional connectivity to other brain regions at a subregional level.
Methods:
Resting state fMRI data were acquired at 3T in 10 healthy controls using both versions of a Gradient-Echo Echo Planar Imaging (GRE-EPI) sequence. Whole brain voxel-wise functional connectivity measures were calculated using the whole amygdala and six subregional seed regions-of-interest; left and right basolateral, centromedial and superficial.
Results:
The 3D data identified multiple stronger bilateral connections between both centromedial subregions, most notably to subcortical structures including brainstem and hippocampus, as well as intra-amygdala subregional connections. The 2D data displayed stronger connections to several cortical regions. Whole amygdala and subregional FC results differed.
Conclusions:
This study identified underutilized capability in current fMRI acquisition techniques at 3T. 2D GRE-EPI sequences optimized for high spatial resolution with voxel volumes of 15.6 mm3 capably demonstrate functional connectivity patterns of the amygdala at a subregional level, allowing interrogation of heterogeneous amygdala function at a more granular level. The novel 3D acquisition with voxel volumes of 8 mm3 showed promise in outperforming its 2D counterpart in identifying amygdala subregional connections to other subcortical structures that are traditionally difficult to image well.
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.

