Cargando…

Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies

Major depressive disorder (MDD) often emerges during adolescence with detrimental effects on development as well as lifetime consequences. Identifying neurobiological markers that are associated with the onset or course of this disorder in childhood and adolescence is important for early recognition...

Descripción completa

Detalles Bibliográficos
Autores principales: Toenders, Yara J., van Velzen, Laura S., Heideman, Ivonne Z., Harrison, Ben J., Davey, Christopher G., Schmaal, Lianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969367/
https://www.ncbi.nlm.nih.gov/pubmed/31426010
http://dx.doi.org/10.1016/j.dcn.2019.100700
_version_ 1783489314147008512
author Toenders, Yara J.
van Velzen, Laura S.
Heideman, Ivonne Z.
Harrison, Ben J.
Davey, Christopher G.
Schmaal, Lianne
author_facet Toenders, Yara J.
van Velzen, Laura S.
Heideman, Ivonne Z.
Harrison, Ben J.
Davey, Christopher G.
Schmaal, Lianne
author_sort Toenders, Yara J.
collection PubMed
description Major depressive disorder (MDD) often emerges during adolescence with detrimental effects on development as well as lifetime consequences. Identifying neurobiological markers that are associated with the onset or course of this disorder in childhood and adolescence is important for early recognition and intervention and, potentially, for the prevention of illness onset. In this systematic review, 68 longitudinal neuroimaging studies, from 34 unique samples, that examined the association of neuroimaging markers with onset or changes in paediatric depression published up to 1 February 2019 were examined. These studies employed different imaging modalities at baseline; structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) or electroencephalography (EEG). Most consistent evidence across studies was found for blunted reward-related (striatal) activity (fMRI and EEG) as a potential biological marker for both MDD onset and course. With regard to structural brain measures, the results were highly inconsistent, likely caused by insufficient power to detect complex mediating effects of genetic and environmental factors in small sample sizes. Overall, there were a limited number of samples, and confounding factors such as sex and pubertal development were often not considered, whereas these factors are likely to be relevant especially in this age range.
format Online
Article
Text
id pubmed-6969367
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-69693672020-01-21 Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies Toenders, Yara J. van Velzen, Laura S. Heideman, Ivonne Z. Harrison, Ben J. Davey, Christopher G. Schmaal, Lianne Dev Cogn Neurosci Review Major depressive disorder (MDD) often emerges during adolescence with detrimental effects on development as well as lifetime consequences. Identifying neurobiological markers that are associated with the onset or course of this disorder in childhood and adolescence is important for early recognition and intervention and, potentially, for the prevention of illness onset. In this systematic review, 68 longitudinal neuroimaging studies, from 34 unique samples, that examined the association of neuroimaging markers with onset or changes in paediatric depression published up to 1 February 2019 were examined. These studies employed different imaging modalities at baseline; structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) or electroencephalography (EEG). Most consistent evidence across studies was found for blunted reward-related (striatal) activity (fMRI and EEG) as a potential biological marker for both MDD onset and course. With regard to structural brain measures, the results were highly inconsistent, likely caused by insufficient power to detect complex mediating effects of genetic and environmental factors in small sample sizes. Overall, there were a limited number of samples, and confounding factors such as sex and pubertal development were often not considered, whereas these factors are likely to be relevant especially in this age range. Elsevier 2019-08-08 /pmc/articles/PMC6969367/ /pubmed/31426010 http://dx.doi.org/10.1016/j.dcn.2019.100700 Text en © 2019 The Authors. Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Toenders, Yara J.
van Velzen, Laura S.
Heideman, Ivonne Z.
Harrison, Ben J.
Davey, Christopher G.
Schmaal, Lianne
Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies
title Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies
title_full Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies
title_fullStr Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies
title_full_unstemmed Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies
title_short Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies
title_sort neuroimaging predictors of onset and course of depression in childhood and adolescence: a systematic review of longitudinal studies
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969367/
https://www.ncbi.nlm.nih.gov/pubmed/31426010
http://dx.doi.org/10.1016/j.dcn.2019.100700
work_keys_str_mv AT toendersyaraj neuroimagingpredictorsofonsetandcourseofdepressioninchildhoodandadolescenceasystematicreviewoflongitudinalstudies
AT vanvelzenlauras neuroimagingpredictorsofonsetandcourseofdepressioninchildhoodandadolescenceasystematicreviewoflongitudinalstudies
AT heidemanivonnez neuroimagingpredictorsofonsetandcourseofdepressioninchildhoodandadolescenceasystematicreviewoflongitudinalstudies
AT harrisonbenj neuroimagingpredictorsofonsetandcourseofdepressioninchildhoodandadolescenceasystematicreviewoflongitudinalstudies
AT daveychristopherg neuroimagingpredictorsofonsetandcourseofdepressioninchildhoodandadolescenceasystematicreviewoflongitudinalstudies
AT schmaallianne neuroimagingpredictorsofonsetandcourseofdepressioninchildhoodandadolescenceasystematicreviewoflongitudinalstudies