Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder
Abstract Alcohol Use Disorder (AUD) is associated with reductions in grey matter (GM) volume which can lead to changes in numerous brain functions. The results of previous studies on altered GM in AUD differ considerably in the regions identified. Three meta-analyses carried out between 2014 and 201...
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2021
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oai:doaj.org-article:a458599c67ec4d958df5004e24c1d7a82021-12-02T13:19:29ZMeta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder10.1038/s41598-021-84804-72045-2322https://doaj.org/article/a458599c67ec4d958df5004e24c1d7a82021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84804-7https://doaj.org/toc/2045-2322Abstract Alcohol Use Disorder (AUD) is associated with reductions in grey matter (GM) volume which can lead to changes in numerous brain functions. The results of previous studies on altered GM in AUD differ considerably in the regions identified. Three meta-analyses carried out between 2014 and 2017 yielded different results. The present study includes the considerable amount of newer research and delivers a state-of-the art meta-analysis in line with recently published guidelines. Additionally, we behaviorally characterized affected regions using fMRI metadata and identified related brain networks by determining their meta-analytic connectivity patterns. Twenty-seven studies with 1,045 AUD patients and 1,054 healthy controls were included in the analysis and analyzed by means of Anatomical Likelihood Estimation (ALE). GM alterations were identified in eight clusters covering different parts of the cingulate and medial frontal gyri, paracentral lobes, left post- and precentral gyri, left anterior and right posterior insulae and left superior frontal gyrus. The behavioral characterization associated these regions with specific cognitive, emotional, somatosensory and motor functions. Moreover, the clusters represent nodes within behaviorally relevant brain networks. Our results suggest that GM reduction in AUD could disrupt network communication responsible for the neurocognitive impairments associated with high chronic alcohol consumption.Carolin SpindlerSebastian TrautmannNina AlexanderSonja BröningSarah BartscherMarkus StuppeMarkus MuehlhanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
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Medicine R Science Q Carolin Spindler Sebastian Trautmann Nina Alexander Sonja Bröning Sarah Bartscher Markus Stuppe Markus Muehlhan Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
description |
Abstract Alcohol Use Disorder (AUD) is associated with reductions in grey matter (GM) volume which can lead to changes in numerous brain functions. The results of previous studies on altered GM in AUD differ considerably in the regions identified. Three meta-analyses carried out between 2014 and 2017 yielded different results. The present study includes the considerable amount of newer research and delivers a state-of-the art meta-analysis in line with recently published guidelines. Additionally, we behaviorally characterized affected regions using fMRI metadata and identified related brain networks by determining their meta-analytic connectivity patterns. Twenty-seven studies with 1,045 AUD patients and 1,054 healthy controls were included in the analysis and analyzed by means of Anatomical Likelihood Estimation (ALE). GM alterations were identified in eight clusters covering different parts of the cingulate and medial frontal gyri, paracentral lobes, left post- and precentral gyri, left anterior and right posterior insulae and left superior frontal gyrus. The behavioral characterization associated these regions with specific cognitive, emotional, somatosensory and motor functions. Moreover, the clusters represent nodes within behaviorally relevant brain networks. Our results suggest that GM reduction in AUD could disrupt network communication responsible for the neurocognitive impairments associated with high chronic alcohol consumption. |
format |
article |
author |
Carolin Spindler Sebastian Trautmann Nina Alexander Sonja Bröning Sarah Bartscher Markus Stuppe Markus Muehlhan |
author_facet |
Carolin Spindler Sebastian Trautmann Nina Alexander Sonja Bröning Sarah Bartscher Markus Stuppe Markus Muehlhan |
author_sort |
Carolin Spindler |
title |
Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
title_short |
Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
title_full |
Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
title_fullStr |
Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
title_full_unstemmed |
Meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
title_sort |
meta-analysis of grey matter changes and their behavioral characterization in patients with alcohol use disorder |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/a458599c67ec4d958df5004e24c1d7a8 |
work_keys_str_mv |
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