@article{0910ecf9a30d4cbfb322b2eb1f52a790,
title = "Ultra-High-Resolution Imaging of Amygdala Subnuclei Structural Connectivity in Major Depressive Disorder",
abstract = "Background: Major depressive disorder (MDD) is an increasingly common and disabling illness. As the amygdala has been reported to have pathological involvement in mood disorders, we aimed to investigate for the first time potential changes to structural connectivity of individual amygdala subnuclei in MDD using ultra-high-field 7T diffusion magnetic resonance imaging. Methods: Twenty-four patients with MDD (11 women) and 24 age-matched healthy control participants (7 women) underwent diffusion-weighted imaging with a 1.05-mm isotropic resolution at 7T. Amygdala nuclei regions of interest were obtained through automated segmentation of 0.69-mm resolution T1-weighted images and 0.35-mm resolution T2-weighted images. Probabilistic tractography was performed on all subjects, with random seeding at each amygdala nucleus. Results: The right lateral, basal, central, and centrocortical amygdala nuclei exhibited significantly increased connection density to the rest of the brain, whereas the left medial nucleus demonstrated significantly lower connection density (false discovery rate p < .05). Increased connection density in the right lateral and basal nuclei was driven by the stria terminalis, and the significant difference in the right central nucleus was driven by the uncinate fasciculus. Decreased connection density at the left medial nucleus did not appear to be driven by any individual white matter tract. Conclusions: By exploiting ultra-high-resolution magnetic resonance imaging, structural hyperconnectivity was demonstrated involving the amygdaloid nuclei in the right hemisphere in MDD. To a lesser extent, impairment of subnuclei connectivity was shown in the left hemisphere.",
keywords = "7T, Amygdala, Diffusion MRI, Major depressive disorder, Neuroimaging, Tractography, Ultra-high-field",
author = "Brown, {Stephanie S.G.} and Rutland, {John W.} and Gaurav Verma and Feldman, {Rebecca E.} and Molly Schneider and Delman, {Bradley N.} and Murrough, {James M.} and Priti Balchandani",
note = "Funding Information: This work was supported by the National Institutes of Health (Grant Nos. R01 MH109544 [to PB] and R01 CA202911 [to PB]), Brain and Behavior Research Foundation National Alliance for Research on Schizophrenia and Depression Young Investigator Grant (to PB), Icahn School of Medicine Capital Campaign, Translational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, and Siemens Healthcare (to PB). PB (principal investigator in this study) is a named inventor on patents relating to MRI and radiofrequency pulse design that have been licensed to GE Healthcare, Siemens AG, and Philips International and receives royalty payments relating to these patents. In the past 5 years, JMM has provided consultation services to Boehreinger Ingelheim, Sage Therapeutics, FSV7, LLC, Novartis, Allergan, Fortress Biotech, Janssen Research and Development, MedAvante-ProPhase, and Global Medical Education (GME) and has received research support from Avanir Pharmaceuticals, Inc. The other authors report no biomedical financial interests or potential conflicts of interest. Funding Information: This work was supported by the National Institutes of Health (Grant Nos. R01 MH109544 [to PB] and R01 CA202911 [to PB] ), Brain and Behavior Research Foundation National Alliance for Research on Schizophrenia and Depression Young Investigator Grant (to PB) , Icahn School of Medicine Capital Campaign , Translational and Molecular Imaging Institute and Department of Radiology , Icahn School of Medicine at Mount Sinai , and Siemens Healthcare (to PB). Publisher Copyright: {\textcopyright} 2019 Society of Biological Psychiatry",
year = "2020",
month = feb,
doi = "10.1016/j.bpsc.2019.07.010",
language = "English",
volume = "5",
pages = "184--193",
journal = "Biological Psychiatry: Cognitive Neuroscience and Neuroimaging",
issn = "2451-9022",
publisher = "Elsevier Inc.",
number = "2",
}