Cargando…
Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression
Late-life depression (LLD) is a common disorder associated with emotional distress, cognitive impairment and somatic complains. Structural abnormalities have been suggested as one of the main neurobiological correlates in LLD. However the relationship between these structural abnormalities and alter...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999134/ https://www.ncbi.nlm.nih.gov/pubmed/24763508 http://dx.doi.org/10.1371/journal.pone.0096033 |
_version_ | 1782313468613885952 |
---|---|
author | Tadayonnejad, Reza Yang, Shaolin Kumar, Anand Ajilore, Olusola |
author_facet | Tadayonnejad, Reza Yang, Shaolin Kumar, Anand Ajilore, Olusola |
author_sort | Tadayonnejad, Reza |
collection | PubMed |
description | Late-life depression (LLD) is a common disorder associated with emotional distress, cognitive impairment and somatic complains. Structural abnormalities have been suggested as one of the main neurobiological correlates in LLD. However the relationship between these structural abnormalities and altered functional brain networks in LLD remains poorly understood. 15 healthy elderly comparison subjects from the community and 10 unmedicated and symptomatic subjects with geriatric depression were selected for this study. For each subject, 87 regions of interest (ROI) were generated from whole brain anatomical parcellation of resting state fMRI data. Whole-brain ROI-wise correlations were calculated and compared between groups. Group differences were assessed using an analysis of covariance after controlling for age, sex and education with multiple comparison correction using the false discovery rate. Structural connectivity was assessed by tract-based spatial statistics (TBSS). LLD subjects had significantly decreased connectivity between the right accumbens area (rA) and the right medial orbitofrontal cortex (rmOFC) as well as between the right rostral anterior cingulate cortex (rrACC) and bilateral superior frontal gyrus (bsSFG). Altered connectivity of rrACC with the bsSFG was significantly correlated with depression severity in depressed subjects. TBSS analysis showed a 20% reduction in fractional anisotropy (FA) in the right Forceps Minor (rFM) in depressed subjects. rFM FA values were positively correlated with rA-rmOFC and rrACC-bsFG functional connectivity values in our total study sample. Coordinated structural and functional impairment in circuits involved in emotion regulation and reward pathways play an important role in the pathophysiology of LLD. |
format | Online Article Text |
id | pubmed-3999134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39991342014-04-29 Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression Tadayonnejad, Reza Yang, Shaolin Kumar, Anand Ajilore, Olusola PLoS One Research Article Late-life depression (LLD) is a common disorder associated with emotional distress, cognitive impairment and somatic complains. Structural abnormalities have been suggested as one of the main neurobiological correlates in LLD. However the relationship between these structural abnormalities and altered functional brain networks in LLD remains poorly understood. 15 healthy elderly comparison subjects from the community and 10 unmedicated and symptomatic subjects with geriatric depression were selected for this study. For each subject, 87 regions of interest (ROI) were generated from whole brain anatomical parcellation of resting state fMRI data. Whole-brain ROI-wise correlations were calculated and compared between groups. Group differences were assessed using an analysis of covariance after controlling for age, sex and education with multiple comparison correction using the false discovery rate. Structural connectivity was assessed by tract-based spatial statistics (TBSS). LLD subjects had significantly decreased connectivity between the right accumbens area (rA) and the right medial orbitofrontal cortex (rmOFC) as well as between the right rostral anterior cingulate cortex (rrACC) and bilateral superior frontal gyrus (bsSFG). Altered connectivity of rrACC with the bsSFG was significantly correlated with depression severity in depressed subjects. TBSS analysis showed a 20% reduction in fractional anisotropy (FA) in the right Forceps Minor (rFM) in depressed subjects. rFM FA values were positively correlated with rA-rmOFC and rrACC-bsFG functional connectivity values in our total study sample. Coordinated structural and functional impairment in circuits involved in emotion regulation and reward pathways play an important role in the pathophysiology of LLD. Public Library of Science 2014-04-24 /pmc/articles/PMC3999134/ /pubmed/24763508 http://dx.doi.org/10.1371/journal.pone.0096033 Text en © 2014 Tadayonnejad et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Tadayonnejad, Reza Yang, Shaolin Kumar, Anand Ajilore, Olusola Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression |
title | Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression |
title_full | Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression |
title_fullStr | Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression |
title_full_unstemmed | Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression |
title_short | Multimodal Brain Connectivity Analysis in Unmedicated Late-Life Depression |
title_sort | multimodal brain connectivity analysis in unmedicated late-life depression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999134/ https://www.ncbi.nlm.nih.gov/pubmed/24763508 http://dx.doi.org/10.1371/journal.pone.0096033 |
work_keys_str_mv | AT tadayonnejadreza multimodalbrainconnectivityanalysisinunmedicatedlatelifedepression AT yangshaolin multimodalbrainconnectivityanalysisinunmedicatedlatelifedepression AT kumaranand multimodalbrainconnectivityanalysisinunmedicatedlatelifedepression AT ajiloreolusola multimodalbrainconnectivityanalysisinunmedicatedlatelifedepression |