{"title":"双相情感障碍不同状态的脑功能网络共享总体拓扑损伤与认知缺陷、遗传和转录组变异相关。","authors":"Yudan Ding, Huabing Li, Feng Liu, Ping Li, Jingping Zhao, Dongsheng Lv, Wenbin Guo","doi":"10.1111/bdi.70028","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Investigating brain network properties in BD patients across mood states can offer insights into the underlying mechanisms of the disorder. This study aimed to explore the topological architecture of functional brain networks in BD and its relationship with clinical variables and genetic/transcriptomic variations.</p><p><strong>Methods: </strong>The study involved 100 BD patients and 95 healthy controls. Researchers used graph theory-based methods to analyze whole-brain functional networks and explore their relationship with clinical variables. We also conducted a neuroimaging-transcription association analysis using the Allen Human Brain Atlas.</p><p><strong>Results: </strong>Depressive and manic BD patients exhibited increased local efficiency and decreased global efficiency at the global network level compared to healthy controls. Nodal-level analysis revealed disrupted nodal parameters within specific brain networks, including the fronto-parietal, default mode, and somatomotor networks. Significant correlations were found between nodal properties and cognitive function. All BD groups showed enhanced connectivity strength in rich-club and feeder connections compared to controls. Neuroimaging-transcription analysis identified potential genetic factors related to BD.</p><p><strong>Conclusion: </strong>Our investigation unveiled shared impairments in the overall topological architecture of functional brain networks across depressive, manic, and euthymic BD. These observed abnormalities were associated with cognitive deficits in BD patients across three mood states. These common deficits, possibly stemming from the segregated changes in structural and functional rich-club connections, might represent trait-like pathophysiological mechanisms inherent to BD. Furthermore, our neuroimaging-transcription association analysis indicates the potential use of brain functional anomalies as endophenotypes in BD.</p>","PeriodicalId":8959,"journal":{"name":"Bipolar Disorders","volume":" ","pages":""},"PeriodicalIF":5.0000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Shared Overall Topological Impairments of Functional Brain Networks Across Diverse State of Bipolar Disorder With Relevance to Cognitive Deficits and Genetic and Transcriptomic Variations.\",\"authors\":\"Yudan Ding, Huabing Li, Feng Liu, Ping Li, Jingping Zhao, Dongsheng Lv, Wenbin Guo\",\"doi\":\"10.1111/bdi.70028\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Investigating brain network properties in BD patients across mood states can offer insights into the underlying mechanisms of the disorder. This study aimed to explore the topological architecture of functional brain networks in BD and its relationship with clinical variables and genetic/transcriptomic variations.</p><p><strong>Methods: </strong>The study involved 100 BD patients and 95 healthy controls. Researchers used graph theory-based methods to analyze whole-brain functional networks and explore their relationship with clinical variables. We also conducted a neuroimaging-transcription association analysis using the Allen Human Brain Atlas.</p><p><strong>Results: </strong>Depressive and manic BD patients exhibited increased local efficiency and decreased global efficiency at the global network level compared to healthy controls. Nodal-level analysis revealed disrupted nodal parameters within specific brain networks, including the fronto-parietal, default mode, and somatomotor networks. Significant correlations were found between nodal properties and cognitive function. All BD groups showed enhanced connectivity strength in rich-club and feeder connections compared to controls. Neuroimaging-transcription analysis identified potential genetic factors related to BD.</p><p><strong>Conclusion: </strong>Our investigation unveiled shared impairments in the overall topological architecture of functional brain networks across depressive, manic, and euthymic BD. These observed abnormalities were associated with cognitive deficits in BD patients across three mood states. These common deficits, possibly stemming from the segregated changes in structural and functional rich-club connections, might represent trait-like pathophysiological mechanisms inherent to BD. Furthermore, our neuroimaging-transcription association analysis indicates the potential use of brain functional anomalies as endophenotypes in BD.</p>\",\"PeriodicalId\":8959,\"journal\":{\"name\":\"Bipolar Disorders\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bipolar Disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/bdi.70028\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bipolar Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/bdi.70028","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Shared Overall Topological Impairments of Functional Brain Networks Across Diverse State of Bipolar Disorder With Relevance to Cognitive Deficits and Genetic and Transcriptomic Variations.
Objectives: Investigating brain network properties in BD patients across mood states can offer insights into the underlying mechanisms of the disorder. This study aimed to explore the topological architecture of functional brain networks in BD and its relationship with clinical variables and genetic/transcriptomic variations.
Methods: The study involved 100 BD patients and 95 healthy controls. Researchers used graph theory-based methods to analyze whole-brain functional networks and explore their relationship with clinical variables. We also conducted a neuroimaging-transcription association analysis using the Allen Human Brain Atlas.
Results: Depressive and manic BD patients exhibited increased local efficiency and decreased global efficiency at the global network level compared to healthy controls. Nodal-level analysis revealed disrupted nodal parameters within specific brain networks, including the fronto-parietal, default mode, and somatomotor networks. Significant correlations were found between nodal properties and cognitive function. All BD groups showed enhanced connectivity strength in rich-club and feeder connections compared to controls. Neuroimaging-transcription analysis identified potential genetic factors related to BD.
Conclusion: Our investigation unveiled shared impairments in the overall topological architecture of functional brain networks across depressive, manic, and euthymic BD. These observed abnormalities were associated with cognitive deficits in BD patients across three mood states. These common deficits, possibly stemming from the segregated changes in structural and functional rich-club connections, might represent trait-like pathophysiological mechanisms inherent to BD. Furthermore, our neuroimaging-transcription association analysis indicates the potential use of brain functional anomalies as endophenotypes in BD.
期刊介绍：
Bipolar Disorders is an international journal that publishes all research of relevance for the basic mechanisms, clinical aspects, or treatment of bipolar disorders and related illnesses. It intends to provide a single international outlet for new research in this area and covers research in the following areas:
biochemistry
physiology
neuropsychopharmacology
neuroanatomy
neuropathology
genetics
brain imaging
epidemiology
phenomenology
clinical aspects
and therapeutics of bipolar disorders
Bipolar Disorders also contains papers that form the development of new therapeutic strategies for these disorders as well as papers on the topics of schizoaffective disorders, and depressive disorders as these can be cyclic disorders with areas of overlap with bipolar disorders.
The journal will consider for publication submissions within the domain of: Perspectives, Research Articles, Correspondence, Clinical Corner, and Reflections. Within these there are a number of types of articles: invited editorials, debates, review articles, original articles, commentaries, letters to the editors, clinical conundrums, clinical curiosities, clinical care, and musings.
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