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Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients

Background: Reduced cortical thickness and hippocampal volume are prevalent markers of late life depression as well as mild cognitive impairment (MCI) but are conspicuously absent in the vascular depression (VD) literature. The present study aimed to determine differences in cortical thickness and h...

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Autores principales: Egglefield, Dakota A., Schiff, Sophie, Motter, Jeffrey N., Grinberg, Alice, Rutherford, Bret R., Sneed, Joel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316761/
https://www.ncbi.nlm.nih.gov/pubmed/34335333
http://dx.doi.org/10.3389/fpsyt.2021.697489
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author Egglefield, Dakota A.
Schiff, Sophie
Motter, Jeffrey N.
Grinberg, Alice
Rutherford, Bret R.
Sneed, Joel R.
author_facet Egglefield, Dakota A.
Schiff, Sophie
Motter, Jeffrey N.
Grinberg, Alice
Rutherford, Bret R.
Sneed, Joel R.
author_sort Egglefield, Dakota A.
collection PubMed
description Background: Reduced cortical thickness and hippocampal volume are prevalent markers of late life depression as well as mild cognitive impairment (MCI) but are conspicuously absent in the vascular depression (VD) literature. The present study aimed to determine differences in cortical thickness and hippocampal volume between VD and non-VD patients. Methods: Participants were enrolled in an 8-week open treatment antidepressant trial. Forty-one depressed individuals aged 50 and older underwent brain magnetic resonance imaging at baseline and were classified as VD or non-VD. Cortical thickness values for the left and right entorhinal, parahippocampal, and precuneal cortices, as well as left and right hippocampal volume, were linearly regressed on VD status to determine mean differences between VD and non-VD. Covariates included site, age, sex, and mean thickness or intracranial volume. Results: No statistical differences were found between VD and non-VD patients in cortical thickness of the bilateral precuneal, entorhinal, or parahippocampal cortices, or hippocampal volume (p > 0.001). Conclusions: The absence of statistical differences in gray matter between VD and non-VD patients raises several diagnostic, etiological, and developmental possibilities, namely that VD may not be connected with other late-life psychiatric illnesses such as MCI or dementia and that vascular disease may not be a common etiological risk factor for depression and dementia. Larger datasets, prospective longitudinal studies, and cognitively intact controls are needed to further address these types of questions.
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spelling pubmed-83167612021-07-29 Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients Egglefield, Dakota A. Schiff, Sophie Motter, Jeffrey N. Grinberg, Alice Rutherford, Bret R. Sneed, Joel R. Front Psychiatry Psychiatry Background: Reduced cortical thickness and hippocampal volume are prevalent markers of late life depression as well as mild cognitive impairment (MCI) but are conspicuously absent in the vascular depression (VD) literature. The present study aimed to determine differences in cortical thickness and hippocampal volume between VD and non-VD patients. Methods: Participants were enrolled in an 8-week open treatment antidepressant trial. Forty-one depressed individuals aged 50 and older underwent brain magnetic resonance imaging at baseline and were classified as VD or non-VD. Cortical thickness values for the left and right entorhinal, parahippocampal, and precuneal cortices, as well as left and right hippocampal volume, were linearly regressed on VD status to determine mean differences between VD and non-VD. Covariates included site, age, sex, and mean thickness or intracranial volume. Results: No statistical differences were found between VD and non-VD patients in cortical thickness of the bilateral precuneal, entorhinal, or parahippocampal cortices, or hippocampal volume (p > 0.001). Conclusions: The absence of statistical differences in gray matter between VD and non-VD patients raises several diagnostic, etiological, and developmental possibilities, namely that VD may not be connected with other late-life psychiatric illnesses such as MCI or dementia and that vascular disease may not be a common etiological risk factor for depression and dementia. Larger datasets, prospective longitudinal studies, and cognitively intact controls are needed to further address these types of questions. Frontiers Media S.A. 2021-07-14 /pmc/articles/PMC8316761/ /pubmed/34335333 http://dx.doi.org/10.3389/fpsyt.2021.697489 Text en Copyright © 2021 Egglefield, Schiff, Motter, Grinberg, Rutherford and Sneed. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Egglefield, Dakota A.
Schiff, Sophie
Motter, Jeffrey N.
Grinberg, Alice
Rutherford, Bret R.
Sneed, Joel R.
Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
title Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
title_full Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
title_fullStr Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
title_full_unstemmed Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
title_short Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
title_sort cortical thickness and hippocampal volume in vascular and non-vascular depressed patients
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316761/
https://www.ncbi.nlm.nih.gov/pubmed/34335333
http://dx.doi.org/10.3389/fpsyt.2021.697489
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