Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization
Abstract The high inter-individual heterogeneity in individuals with depression limits neuroimaging studies with case-control approaches to identify promising biomarkers for individualized clinical decision-making. We put forward a framework integrating the normative model and non-negative matrix fa...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-39861-z |
| _version_ | 1797784501179383808 |
|---|---|
| author | Shaoqiang Han Qian Cui Ruiping Zheng Shuying Li Bingqian Zhou Keke Fang Wei Sheng Baohong Wen Liang Liu Yarui Wei Huafu Chen Yuan Chen Jingliang Cheng Yong Zhang |
| author_facet | Shaoqiang Han Qian Cui Ruiping Zheng Shuying Li Bingqian Zhou Keke Fang Wei Sheng Baohong Wen Liang Liu Yarui Wei Huafu Chen Yuan Chen Jingliang Cheng Yong Zhang |
| author_sort | Shaoqiang Han |
| collection | DOAJ |
| description | Abstract The high inter-individual heterogeneity in individuals with depression limits neuroimaging studies with case-control approaches to identify promising biomarkers for individualized clinical decision-making. We put forward a framework integrating the normative model and non-negative matrix factorization (NMF) to quantitatively assess altered gray matter morphology in depression from a dimensional perspective. The proposed framework parses altered gray matter morphology into overlapping latent disease factors, and assigns patients distinct factor compositions, thus preserving inter-individual variability. We identified four robust disease factors with distinct clinical symptoms and cognitive processes in depression. In addition, we showed the quantitative relationship between the group-level gray matter morphological differences and disease factors. Furthermore, this framework significantly predicted factor compositions of patients in an independent dataset. The framework provides an approach to resolve neuroanatomical heterogeneity in depression. |
| first_indexed | 2024-03-13T00:40:48Z |
| format | Article |
| id | doaj.art-974b92b55f2d4c7dab5f433c93879733 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-13T00:40:48Z |
| publishDate | 2023-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-974b92b55f2d4c7dab5f433c938797332023-07-09T11:18:53ZengNature PortfolioNature Communications2041-17232023-07-0114111010.1038/s41467-023-39861-zParsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorizationShaoqiang Han0Qian Cui1Ruiping Zheng2Shuying Li3Bingqian Zhou4Keke Fang5Wei Sheng6Baohong Wen7Liang Liu8Yarui Wei9Huafu Chen10Yuan Chen11Jingliang Cheng12Yong Zhang13Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversitySchool of Public Affairs and Administration, University of Electronic Science and Technology of ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Psychiatry, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer HospitalThe Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of ChinaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou UniversityAbstract The high inter-individual heterogeneity in individuals with depression limits neuroimaging studies with case-control approaches to identify promising biomarkers for individualized clinical decision-making. We put forward a framework integrating the normative model and non-negative matrix factorization (NMF) to quantitatively assess altered gray matter morphology in depression from a dimensional perspective. The proposed framework parses altered gray matter morphology into overlapping latent disease factors, and assigns patients distinct factor compositions, thus preserving inter-individual variability. We identified four robust disease factors with distinct clinical symptoms and cognitive processes in depression. In addition, we showed the quantitative relationship between the group-level gray matter morphological differences and disease factors. Furthermore, this framework significantly predicted factor compositions of patients in an independent dataset. The framework provides an approach to resolve neuroanatomical heterogeneity in depression.https://doi.org/10.1038/s41467-023-39861-z |
| spellingShingle | Shaoqiang Han Qian Cui Ruiping Zheng Shuying Li Bingqian Zhou Keke Fang Wei Sheng Baohong Wen Liang Liu Yarui Wei Huafu Chen Yuan Chen Jingliang Cheng Yong Zhang Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization Nature Communications |
| title | Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization |
| title_full | Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization |
| title_fullStr | Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization |
| title_full_unstemmed | Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization |
| title_short | Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization |
| title_sort | parsing altered gray matter morphology of depression using a framework integrating the normative model and non negative matrix factorization |
| url | https://doi.org/10.1038/s41467-023-39861-z |
| work_keys_str_mv | AT shaoqianghan parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT qiancui parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT ruipingzheng parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT shuyingli parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT bingqianzhou parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT kekefang parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT weisheng parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT baohongwen parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT liangliu parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT yaruiwei parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT huafuchen parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT yuanchen parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT jingliangcheng parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization AT yongzhang parsingalteredgraymattermorphologyofdepressionusingaframeworkintegratingthenormativemodelandnonnegativematrixfactorization |