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Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression
Major Depressive Disorder (MDD) is highly familial, and the hippocampus and amygdala are important in the pathophysiology of MDD. Whether morphological markers of risk for familial depression are present in the hippocampus or amygdala is unknown. We imaged the brains of 148 individuals, aged 6 to 54...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141256/ https://www.ncbi.nlm.nih.gov/pubmed/35626374 http://dx.doi.org/10.3390/diagnostics12051218 |
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author | Peterson, Bradley S. Kaur, Tejal Baez, Maria Andrea Whiteman, Ronald C. Sawardekar, Siddhant Sanchez-Peña, Juan Hao, Xuejun Klahr, Kristin W. Talati, Ardesheer Wickramaratne, Priya Weissman, Myrna M. Bansal, Ravi |
author_facet | Peterson, Bradley S. Kaur, Tejal Baez, Maria Andrea Whiteman, Ronald C. Sawardekar, Siddhant Sanchez-Peña, Juan Hao, Xuejun Klahr, Kristin W. Talati, Ardesheer Wickramaratne, Priya Weissman, Myrna M. Bansal, Ravi |
author_sort | Peterson, Bradley S. |
collection | PubMed |
description | Major Depressive Disorder (MDD) is highly familial, and the hippocampus and amygdala are important in the pathophysiology of MDD. Whether morphological markers of risk for familial depression are present in the hippocampus or amygdala is unknown. We imaged the brains of 148 individuals, aged 6 to 54 years, who were members of a three-generation family cohort study and who were at either high or low familial risk for MDD. We compared surface morphological features of the hippocampus and amygdala across risk groups and assessed their associations with depression severity. High- compared with low-risk individuals had inward deformations of the head of both hippocampi and the medial surface of the left amygdala. The hippocampus findings persisted in analyses that included only those participants who had never had MDD, suggesting that these are true endophenotypic biomarkers for familial MDD. Posterior extension of the inward deformations was associated with more severe depressive symptoms, suggesting that a greater spatial extent of this biomarker may contribute to the transition from risk to the overt expression of symptoms. Significant associations of these biomarkers with corresponding biomarkers for cortical thickness suggest that these markers are components of a distributed cortico-limbic network of familial vulnerability to MDD. |
format | Online Article Text |
id | pubmed-9141256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91412562022-05-28 Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression Peterson, Bradley S. Kaur, Tejal Baez, Maria Andrea Whiteman, Ronald C. Sawardekar, Siddhant Sanchez-Peña, Juan Hao, Xuejun Klahr, Kristin W. Talati, Ardesheer Wickramaratne, Priya Weissman, Myrna M. Bansal, Ravi Diagnostics (Basel) Article Major Depressive Disorder (MDD) is highly familial, and the hippocampus and amygdala are important in the pathophysiology of MDD. Whether morphological markers of risk for familial depression are present in the hippocampus or amygdala is unknown. We imaged the brains of 148 individuals, aged 6 to 54 years, who were members of a three-generation family cohort study and who were at either high or low familial risk for MDD. We compared surface morphological features of the hippocampus and amygdala across risk groups and assessed their associations with depression severity. High- compared with low-risk individuals had inward deformations of the head of both hippocampi and the medial surface of the left amygdala. The hippocampus findings persisted in analyses that included only those participants who had never had MDD, suggesting that these are true endophenotypic biomarkers for familial MDD. Posterior extension of the inward deformations was associated with more severe depressive symptoms, suggesting that a greater spatial extent of this biomarker may contribute to the transition from risk to the overt expression of symptoms. Significant associations of these biomarkers with corresponding biomarkers for cortical thickness suggest that these markers are components of a distributed cortico-limbic network of familial vulnerability to MDD. MDPI 2022-05-12 /pmc/articles/PMC9141256/ /pubmed/35626374 http://dx.doi.org/10.3390/diagnostics12051218 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Peterson, Bradley S. Kaur, Tejal Baez, Maria Andrea Whiteman, Ronald C. Sawardekar, Siddhant Sanchez-Peña, Juan Hao, Xuejun Klahr, Kristin W. Talati, Ardesheer Wickramaratne, Priya Weissman, Myrna M. Bansal, Ravi Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression |
title | Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression |
title_full | Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression |
title_fullStr | Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression |
title_full_unstemmed | Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression |
title_short | Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression |
title_sort | morphological biomarkers in the amygdala and hippocampus of children and adults at high familial risk for depression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141256/ https://www.ncbi.nlm.nih.gov/pubmed/35626374 http://dx.doi.org/10.3390/diagnostics12051218 |
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