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The impact of age of onset on amygdala intrinsic connectivity in major depression

BACKGROUND: Early-onset major depressive disorder (EO-MDD), beginning during childhood and adolescence, is associated with more illness burden and a worse prognosis than adult-onset MDD (AO-MDD), but little is known about the neural features distinguishing these subgroup phenotypes. Functional abnor...

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Autores principales: Clark, Darren L, Konduru, Nithya, Kemp, Anne, Bray, Signe, Brown, Elliot C, Goodyear, Bradley, Ramasubbu, Rajamannar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784751/
https://www.ncbi.nlm.nih.gov/pubmed/29403280
http://dx.doi.org/10.2147/NDT.S145042
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author Clark, Darren L
Konduru, Nithya
Kemp, Anne
Bray, Signe
Brown, Elliot C
Goodyear, Bradley
Ramasubbu, Rajamannar
author_facet Clark, Darren L
Konduru, Nithya
Kemp, Anne
Bray, Signe
Brown, Elliot C
Goodyear, Bradley
Ramasubbu, Rajamannar
author_sort Clark, Darren L
collection PubMed
description BACKGROUND: Early-onset major depressive disorder (EO-MDD), beginning during childhood and adolescence, is associated with more illness burden and a worse prognosis than adult-onset MDD (AO-MDD), but little is known about the neural features distinguishing these subgroup phenotypes. Functional abnormalities of the amygdala are central to major depressive disorder (MDD) neurobiology; therefore, we examined whether amygdala intrinsic connectivity (IC) can differentiate EO-MDD from AO-MDD in a cohort of adult MDD patients. SUBJECTS AND METHODS: Twenty-one EO-MDD (age of onset ≤18 years), 31 AO-MDD patients (age of onset ≥19 years), and 19 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (7 minutes). Amygdala seed-based resting-state functional connectivity was compared between groups. RESULTS: AO-MDD patients showed loss of inverse left amygdala–left dorsolateral prefrontal cortex IC and increased inverse left amygdala–left inferior parietal IC, compared to both HCs and EO-MDD. EO-MDD showed a switch from inverse to positive IC with right dorsomedial prefrontal cortex, compared to HCs and AO-MDD. This effect was removed when we controlled for illness burden. CONCLUSION: Alterations in amygdala IC with the default-mode network were specifically related to EO-MDD, whereas amygdala IC with executive cognitive control regions was preferentially disrupted in AO-MDD. Increased illness burden, an important clinical marker of EO-MDD, accounted for its specific effects on amygdala IC. Brain imaging has the potential for validation of clinical subtypes and can provide markers of prognostic value in MDD patients.
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spelling pubmed-57847512018-02-05 The impact of age of onset on amygdala intrinsic connectivity in major depression Clark, Darren L Konduru, Nithya Kemp, Anne Bray, Signe Brown, Elliot C Goodyear, Bradley Ramasubbu, Rajamannar Neuropsychiatr Dis Treat Original Research BACKGROUND: Early-onset major depressive disorder (EO-MDD), beginning during childhood and adolescence, is associated with more illness burden and a worse prognosis than adult-onset MDD (AO-MDD), but little is known about the neural features distinguishing these subgroup phenotypes. Functional abnormalities of the amygdala are central to major depressive disorder (MDD) neurobiology; therefore, we examined whether amygdala intrinsic connectivity (IC) can differentiate EO-MDD from AO-MDD in a cohort of adult MDD patients. SUBJECTS AND METHODS: Twenty-one EO-MDD (age of onset ≤18 years), 31 AO-MDD patients (age of onset ≥19 years), and 19 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (7 minutes). Amygdala seed-based resting-state functional connectivity was compared between groups. RESULTS: AO-MDD patients showed loss of inverse left amygdala–left dorsolateral prefrontal cortex IC and increased inverse left amygdala–left inferior parietal IC, compared to both HCs and EO-MDD. EO-MDD showed a switch from inverse to positive IC with right dorsomedial prefrontal cortex, compared to HCs and AO-MDD. This effect was removed when we controlled for illness burden. CONCLUSION: Alterations in amygdala IC with the default-mode network were specifically related to EO-MDD, whereas amygdala IC with executive cognitive control regions was preferentially disrupted in AO-MDD. Increased illness burden, an important clinical marker of EO-MDD, accounted for its specific effects on amygdala IC. Brain imaging has the potential for validation of clinical subtypes and can provide markers of prognostic value in MDD patients. Dove Medical Press 2018-01-14 /pmc/articles/PMC5784751/ /pubmed/29403280 http://dx.doi.org/10.2147/NDT.S145042 Text en © 2018 Clark et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Clark, Darren L
Konduru, Nithya
Kemp, Anne
Bray, Signe
Brown, Elliot C
Goodyear, Bradley
Ramasubbu, Rajamannar
The impact of age of onset on amygdala intrinsic connectivity in major depression
title The impact of age of onset on amygdala intrinsic connectivity in major depression
title_full The impact of age of onset on amygdala intrinsic connectivity in major depression
title_fullStr The impact of age of onset on amygdala intrinsic connectivity in major depression
title_full_unstemmed The impact of age of onset on amygdala intrinsic connectivity in major depression
title_short The impact of age of onset on amygdala intrinsic connectivity in major depression
title_sort impact of age of onset on amygdala intrinsic connectivity in major depression
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784751/
https://www.ncbi.nlm.nih.gov/pubmed/29403280
http://dx.doi.org/10.2147/NDT.S145042
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