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Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging
Dopamine dysfunction has been associated with depression. However, results of recent neuroimaging studies on dopamine transporter (DAT), which reflect the function of the dopaminergic system, are inconclusive. The aim of this study was to apply texture analysis, a novel method to extract information...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349249/ https://www.ncbi.nlm.nih.gov/pubmed/35922402 http://dx.doi.org/10.1038/s41398-022-02080-z |
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author | Tamura, Takehiro Sugihara, Genichi Okita, Kyoji Mukai, Yohei Matsuda, Hiroshi Shiwaku, Hiroki Takagi, Shunsuke Daisaki, Hiromitsu Tateishi, Ukihide Takahashi, Hidehiko |
author_facet | Tamura, Takehiro Sugihara, Genichi Okita, Kyoji Mukai, Yohei Matsuda, Hiroshi Shiwaku, Hiroki Takagi, Shunsuke Daisaki, Hiromitsu Tateishi, Ukihide Takahashi, Hidehiko |
author_sort | Tamura, Takehiro |
collection | PubMed |
description | Dopamine dysfunction has been associated with depression. However, results of recent neuroimaging studies on dopamine transporter (DAT), which reflect the function of the dopaminergic system, are inconclusive. The aim of this study was to apply texture analysis, a novel method to extract information about the textural properties of images (e.g., coarseness), to single-photon emission computed tomography (SPECT) imaging in depression. We performed SPECT using (123)I-ioflupane to measure DAT binding in 150 patients with major depressive disorder (N = 112) and bipolar disorder (N = 38). The texture features of DAT binding in subregions of the striatum were calculated. We evaluated the relationship between the texture feature values (coarseness, contrast, and busyness) and severity of depression, and then examined the effects of medication and diagnosis on such relationship. Furthermore, using the data from 40 healthy subjects, we examined the effects of age and sex on the texture feature values. The degree of busyness of the limbic region in the left striatum linked to the severity of depression (p = 0.0025). The post-hoc analysis revealed that this texture feature value was significantly higher in both the severe and non-severe depression groups than in the remission group (p = 0.001 and p = 0.028, respectively). This finding remained consistent after considering the effect of medication. The effects of age and sex in healthy individuals were not evident in this texture feature value. Our findings imply that the application of texture analysis to DAT-SPECT may provide a state-marker of depression. |
format | Online Article Text |
id | pubmed-9349249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93492492022-08-05 Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging Tamura, Takehiro Sugihara, Genichi Okita, Kyoji Mukai, Yohei Matsuda, Hiroshi Shiwaku, Hiroki Takagi, Shunsuke Daisaki, Hiromitsu Tateishi, Ukihide Takahashi, Hidehiko Transl Psychiatry Article Dopamine dysfunction has been associated with depression. However, results of recent neuroimaging studies on dopamine transporter (DAT), which reflect the function of the dopaminergic system, are inconclusive. The aim of this study was to apply texture analysis, a novel method to extract information about the textural properties of images (e.g., coarseness), to single-photon emission computed tomography (SPECT) imaging in depression. We performed SPECT using (123)I-ioflupane to measure DAT binding in 150 patients with major depressive disorder (N = 112) and bipolar disorder (N = 38). The texture features of DAT binding in subregions of the striatum were calculated. We evaluated the relationship between the texture feature values (coarseness, contrast, and busyness) and severity of depression, and then examined the effects of medication and diagnosis on such relationship. Furthermore, using the data from 40 healthy subjects, we examined the effects of age and sex on the texture feature values. The degree of busyness of the limbic region in the left striatum linked to the severity of depression (p = 0.0025). The post-hoc analysis revealed that this texture feature value was significantly higher in both the severe and non-severe depression groups than in the remission group (p = 0.001 and p = 0.028, respectively). This finding remained consistent after considering the effect of medication. The effects of age and sex in healthy individuals were not evident in this texture feature value. Our findings imply that the application of texture analysis to DAT-SPECT may provide a state-marker of depression. Nature Publishing Group UK 2022-08-03 /pmc/articles/PMC9349249/ /pubmed/35922402 http://dx.doi.org/10.1038/s41398-022-02080-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tamura, Takehiro Sugihara, Genichi Okita, Kyoji Mukai, Yohei Matsuda, Hiroshi Shiwaku, Hiroki Takagi, Shunsuke Daisaki, Hiromitsu Tateishi, Ukihide Takahashi, Hidehiko Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
title | Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
title_full | Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
title_fullStr | Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
title_full_unstemmed | Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
title_short | Dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
title_sort | dopamine dysfunction in depression: application of texture analysis to dopamine transporter single-photon emission computed tomography imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349249/ https://www.ncbi.nlm.nih.gov/pubmed/35922402 http://dx.doi.org/10.1038/s41398-022-02080-z |
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