{"title":"精神分裂症患者小脑背侧齿状核与大脑的动态有效连接、认知障碍及临床相关性。","authors":"","doi":"10.1016/j.schres.2024.05.003","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p><span>Schizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that </span>functional connectivity<span> between the cerebellar dorsal dentate nucleus<span> (dDN) and cerebrum is correlated with psychotic symptoms, and processing speed in SZ patients. Dynamic effective connectivity (dEC) is a reliable indicator of brain functional status. However, the dEC between the dDN and cerebrum in patients with SZ remains largely unknown.</span></span></p></div><div><h3>Methods</h3><p><span>Resting-state functional MRI data, symptom severity, and cognitive performance were collected from 74 SZ patients and 53 healthy controls (HC). Granger causality analysis and sliding time window methods were used to calculate dDN-based dEC maps for all subjects, and k-means clustering was performed to obtain several dEC states. Finally, between-group differences in dynamic effective connectivity variability (dECV) and clinical correlations were obtained using two-sample </span><em>t</em>-tests and correlation analysis.</p></div><div><h3>Results</h3><p><span>We detected four dEC states from the cerebrum to the right dDN (IN states) and three dEC states from the right dDN to the cerebrum (OUT states), with SZ group having fewer transitions in the OUT states. SZ group had increased dECV from the right dDN to the right middle frontal gyrus (MFG) and left </span>lingual gyrus (LG). Correlations were found between the dECV from the right dDN to the right MFG and symptom severity and between the dECV from the right dDN to the left LG and working memory performance.</p></div><div><h3>Conclusions</h3><p>This study reveals a dynamic causal relationship between cerebellar dDN and the cerebrum in SZ and provides new evidence for the involvement of cerebellar neural circuits in neurocognitive functions in SZ.</p></div>","PeriodicalId":21417,"journal":{"name":"Schizophrenia Research","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic effective connectivity in the cerebellar dorsal dentate nucleus and the cerebrum, cognitive impairment, and clinical correlates in patients with schizophrenia\",\"authors\":\"\",\"doi\":\"10.1016/j.schres.2024.05.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p><span>Schizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that </span>functional connectivity<span> between the cerebellar dorsal dentate nucleus<span> (dDN) and cerebrum is correlated with psychotic symptoms, and processing speed in SZ patients. Dynamic effective connectivity (dEC) is a reliable indicator of brain functional status. However, the dEC between the dDN and cerebrum in patients with SZ remains largely unknown.</span></span></p></div><div><h3>Methods</h3><p><span>Resting-state functional MRI data, symptom severity, and cognitive performance were collected from 74 SZ patients and 53 healthy controls (HC). Granger causality analysis and sliding time window methods were used to calculate dDN-based dEC maps for all subjects, and k-means clustering was performed to obtain several dEC states. Finally, between-group differences in dynamic effective connectivity variability (dECV) and clinical correlations were obtained using two-sample </span><em>t</em>-tests and correlation analysis.</p></div><div><h3>Results</h3><p><span>We detected four dEC states from the cerebrum to the right dDN (IN states) and three dEC states from the right dDN to the cerebrum (OUT states), with SZ group having fewer transitions in the OUT states. SZ group had increased dECV from the right dDN to the right middle frontal gyrus (MFG) and left </span>lingual gyrus (LG). Correlations were found between the dECV from the right dDN to the right MFG and symptom severity and between the dECV from the right dDN to the left LG and working memory performance.</p></div><div><h3>Conclusions</h3><p>This study reveals a dynamic causal relationship between cerebellar dDN and the cerebrum in SZ and provides new evidence for the involvement of cerebellar neural circuits in neurocognitive functions in SZ.</p></div>\",\"PeriodicalId\":21417,\"journal\":{\"name\":\"Schizophrenia Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Schizophrenia Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0920996424001841\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Schizophrenia Research","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0920996424001841","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
摘要
背景:精神分裂症(SZ)的特征是大脑网络脱节。最近的研究表明,小脑背侧齿状核(dDN)和大脑之间的功能连接与精神分裂症患者的精神症状和处理速度相关。动态有效连接(dEC)是大脑功能状态的可靠指标。然而,SZ患者dDN与大脑之间的动态有效连接性在很大程度上仍不为人所知:方法:收集了74名SZ患者和53名健康对照组(HC)的静息态功能磁共振成像数据、症状严重程度和认知表现。采用格兰杰因果关系分析法和滑动时间窗法计算所有受试者的基于dDN的dEC图,并进行k-means聚类以获得几种dEC状态。最后,利用双样本 t 检验和相关性分析得出了动态有效连接变异性(dECV)的组间差异和临床相关性:结果:我们检测到从大脑到右侧dDN的四个dEC状态(IN状态)和从右侧dDN到大脑的三个dEC状态(OUT状态),SZ组在OUT状态中的转换较少。SZ 组从右侧 dDN 到右侧额叶中回(MFG)和左侧舌回(LG)的 dECV 增加。研究发现,右侧dDN至右侧MFG的dECV与症状严重程度相关,右侧dDN至左侧LG的dECV与工作记忆表现相关:这项研究揭示了SZ患者小脑dDN与大脑之间的动态因果关系,为小脑神经回路参与SZ患者的神经认知功能提供了新的证据。
Dynamic effective connectivity in the cerebellar dorsal dentate nucleus and the cerebrum, cognitive impairment, and clinical correlates in patients with schizophrenia
Background
Schizophrenia (SZ) is characterized by disconnected cerebral networks. Recent studies have shown that functional connectivity between the cerebellar dorsal dentate nucleus (dDN) and cerebrum is correlated with psychotic symptoms, and processing speed in SZ patients. Dynamic effective connectivity (dEC) is a reliable indicator of brain functional status. However, the dEC between the dDN and cerebrum in patients with SZ remains largely unknown.
Methods
Resting-state functional MRI data, symptom severity, and cognitive performance were collected from 74 SZ patients and 53 healthy controls (HC). Granger causality analysis and sliding time window methods were used to calculate dDN-based dEC maps for all subjects, and k-means clustering was performed to obtain several dEC states. Finally, between-group differences in dynamic effective connectivity variability (dECV) and clinical correlations were obtained using two-sample t-tests and correlation analysis.
Results
We detected four dEC states from the cerebrum to the right dDN (IN states) and three dEC states from the right dDN to the cerebrum (OUT states), with SZ group having fewer transitions in the OUT states. SZ group had increased dECV from the right dDN to the right middle frontal gyrus (MFG) and left lingual gyrus (LG). Correlations were found between the dECV from the right dDN to the right MFG and symptom severity and between the dECV from the right dDN to the left LG and working memory performance.
Conclusions
This study reveals a dynamic causal relationship between cerebellar dDN and the cerebrum in SZ and provides new evidence for the involvement of cerebellar neural circuits in neurocognitive functions in SZ.
期刊介绍:
As official journal of the Schizophrenia International Research Society (SIRS) Schizophrenia Research is THE journal of choice for international researchers and clinicians to share their work with the global schizophrenia research community. More than 6000 institutes have online or print (or both) access to this journal - the largest specialist journal in the field, with the largest readership!
Schizophrenia Research''s time to first decision is as fast as 6 weeks and its publishing speed is as fast as 4 weeks until online publication (corrected proof/Article in Press) after acceptance and 14 weeks from acceptance until publication in a printed issue.
The journal publishes novel papers that really contribute to understanding the biology and treatment of schizophrenic disorders; Schizophrenia Research brings together biological, clinical and psychological research in order to stimulate the synthesis of findings from all disciplines involved in improving patient outcomes in schizophrenia.