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Dear Sally, As you've mentioned, different approaches have been used in the literature comprising different nuclei into different groups. The exact details are in the paper, but what you wrote sounds about right. Cheers, /Eugenio -- Juan Eugenio Iglesias
ERC Senior Research Fellow Centre for Medical Image Computing (CMIC) University College London, and Research Affiliate Computer Science and Artificial Intelligence Laboratory (CSAIL) Massachusetts Institute of Technology
From: Sally Grace sgrace@swin.edu.au Date: Monday, 10 December 2018 at 16:31 To: "freesurfer@nmr.mgh.harvard.edu" freesurfer@nmr.mgh.harvard.edu Cc: "Iglesias Gonzalez, Eugenio" e.iglesias@ucl.ac.uk Subject: Classification of amygdala subregions using Freesurfers new Algorithm
Dear Eugenio and experts,
I have run the segmentation of the hippocampus subfields and nuclei of the amygdala using the latest algorithm implemented in the development version of Freesurfer. We have a priori hypotheses regarding the basolateral amygdala.
I understand that you have broken the amygdala output down into the distinct subregions, e.g., the basal, lateral and accessory basal amygdala nuclei. Based on this reference https://www.physiology.org/doi/pdf/10.1152/physrev.00002.2003, my understanding is that the "basolateral nucleus" is comprised of the basal and lateral nucleus of the amygdala and the "basolateral nuclei" (aka. basolateral complex) comprises basal, lateral and accessory basal nuclei.
So, I can create a variable called the "basolateral nucleus" (by adding together the basal + lateral) and the "basolateral complex" (by adding together basal + lateral + accessory basal). Is this assumption correct?
Kind regards, Sally.