Parcellation of human amygdala in vivo using ultra high field structural MRI

• Published in: NeuroImage (Orlando, Fla.) Vol. 58; no. 3; pp. 741 - 748
• Main Authors: Solano-Castiella, Eugenia, Schäfer, Andreas, Reimer, Enrico, Türke, Erik, Pröger, Thomas, Lohmann, Gabriele, Trampel, Robert, Turner, Robert
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.10.2011
• Subjects: 7 T; Adult; Amygdala; Amygdala - anatomy & histology; Brain Mapping - methods; Female; Gray matter; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Male; Segmentation; T2-weighted; Young Adult; T2-weighted; Amygdala; Segmentation; 7T; Gray matter
• ISSN: 1053-8119; 1095-9572; 1095-9572
• DOI: 10.1016/j.neuroimage.2011.06.047

Histological studies show that human amygdala is subdivided into several nuclei with specific connections to other brain areas. One such study has been recently used as the basis of a probabilistic amygdala map, to enable in vivo identification of specifically located functions within the amygdala and connections to it. The involvement of the amygdala in cognition, emotion and action, which may underlie several psychiatric disorders, points to a need for discrimination of these nuclei in living human brains using different techniques. Structural MRI scans of the human amygdala at standard field strengths (≤3T) have shown a region of generally featureless gray matter. Apparently homogeneous regions may reveal internal structure, however, when improved imaging strategies and better SNR are available. The goal of this study is the in vivo anatomical segmentation of the amygdala using high resolution structural MR data. The use of different MRI tissue contrast mechanisms at high field strengths has been little explored so far. Combining two different contrasts, and using cutting-edge image analysis, the following study provides a robust clustering of three amygdala components in vivo using 7T structural imaging. ► The high CNR available at 7 T enables the segmentation of the amygdala in vivo. ► MR contrast combination provides a more precise tissue segmentation. ► Spectral clustering provided three sets of robustly distinguishable areas on structural images. ► Consistency is checked across subjects, coils used and image intensities. ► These segments have been compared to previous in vivo and ex vivo amygdala maps.