Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder

Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical...
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Autor*in:	Sujuan Li [verfasserIn] Ziwei Teng [verfasserIn] Yan Qiu [verfasserIn] Pan Pan [verfasserIn] Chujun Wu [verfasserIn] Kun Jin [verfasserIn] Lu Wang [verfasserIn] Jindong Chen [verfasserIn] Hui Tang [verfasserIn] Hui Xiang [verfasserIn] Sara Arenas De Leon [verfasserIn] Jing Huang [verfasserIn] Wenbin Guo [verfasserIn] Bolun Wang [verfasserIn] Haishan Wu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	bipolar disorder default mode network network homogeneity cognitive dysfunction dyslipidemia

Übergeordnetes Werk:	In: Frontiers in Psychiatry - Frontiers Media S.A., 2010, 12(2021)
Übergeordnetes Werk:	volume:12 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpsyt.2021.699292

Katalog-ID:	DOAJ06728194X

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520			\|a Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD.
650		4	\|a bipolar disorder
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spelling	10.3389/fpsyt.2021.699292 doi (DE-627)DOAJ06728194X (DE-599)DOAJb490f463a18f4f60a4fbaa3646d45fd2 DE-627 ger DE-627 rakwb eng RC435-571 Sujuan Li verfasserin aut Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD. bipolar disorder default mode network network homogeneity cognitive dysfunction dyslipidemia Psychiatry Ziwei Teng verfasserin aut Yan Qiu verfasserin aut Pan Pan verfasserin aut Chujun Wu verfasserin aut Kun Jin verfasserin aut Lu Wang verfasserin aut Jindong Chen verfasserin aut Hui Tang verfasserin aut Hui Xiang verfasserin aut Sara Arenas De Leon verfasserin aut Jing Huang verfasserin aut Wenbin Guo verfasserin aut Bolun Wang verfasserin aut Haishan Wu verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 12(2021) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:12 year:2021 https://doi.org/10.3389/fpsyt.2021.699292 kostenfrei https://doaj.org/article/b490f463a18f4f60a4fbaa3646d45fd2 kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2021.699292/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021
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allfieldsGer	10.3389/fpsyt.2021.699292 doi (DE-627)DOAJ06728194X (DE-599)DOAJb490f463a18f4f60a4fbaa3646d45fd2 DE-627 ger DE-627 rakwb eng RC435-571 Sujuan Li verfasserin aut Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD. bipolar disorder default mode network network homogeneity cognitive dysfunction dyslipidemia Psychiatry Ziwei Teng verfasserin aut Yan Qiu verfasserin aut Pan Pan verfasserin aut Chujun Wu verfasserin aut Kun Jin verfasserin aut Lu Wang verfasserin aut Jindong Chen verfasserin aut Hui Tang verfasserin aut Hui Xiang verfasserin aut Sara Arenas De Leon verfasserin aut Jing Huang verfasserin aut Wenbin Guo verfasserin aut Bolun Wang verfasserin aut Haishan Wu verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 12(2021) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:12 year:2021 https://doi.org/10.3389/fpsyt.2021.699292 kostenfrei https://doaj.org/article/b490f463a18f4f60a4fbaa3646d45fd2 kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2021.699292/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021
allfieldsSound	10.3389/fpsyt.2021.699292 doi (DE-627)DOAJ06728194X (DE-599)DOAJb490f463a18f4f60a4fbaa3646d45fd2 DE-627 ger DE-627 rakwb eng RC435-571 Sujuan Li verfasserin aut Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD. bipolar disorder default mode network network homogeneity cognitive dysfunction dyslipidemia Psychiatry Ziwei Teng verfasserin aut Yan Qiu verfasserin aut Pan Pan verfasserin aut Chujun Wu verfasserin aut Kun Jin verfasserin aut Lu Wang verfasserin aut Jindong Chen verfasserin aut Hui Tang verfasserin aut Hui Xiang verfasserin aut Sara Arenas De Leon verfasserin aut Jing Huang verfasserin aut Wenbin Guo verfasserin aut Bolun Wang verfasserin aut Haishan Wu verfasserin aut In Frontiers in Psychiatry Frontiers Media S.A., 2010 12(2021) (DE-627)631498796 (DE-600)2564218-2 16640640 nnns volume:12 year:2021 https://doi.org/10.3389/fpsyt.2021.699292 kostenfrei https://doaj.org/article/b490f463a18f4f60a4fbaa3646d45fd2 kostenfrei https://www.frontiersin.org/articles/10.3389/fpsyt.2021.699292/full kostenfrei https://doaj.org/toc/1664-0640 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2021
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authorswithroles_txt_mv	Sujuan Li @@aut@@ Ziwei Teng @@aut@@ Yan Qiu @@aut@@ Pan Pan @@aut@@ Chujun Wu @@aut@@ Kun Jin @@aut@@ Lu Wang @@aut@@ Jindong Chen @@aut@@ Hui Tang @@aut@@ Hui Xiang @@aut@@ Sara Arenas De Leon @@aut@@ Jing Huang @@aut@@ Wenbin Guo @@aut@@ Bolun Wang @@aut@@ Haishan Wu @@aut@@
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callnumber-first	R - Medicine
author	Sujuan Li
spellingShingle	Sujuan Li misc RC435-571 misc bipolar disorder misc default mode network misc network homogeneity misc cognitive dysfunction misc dyslipidemia misc Psychiatry Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder
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topic_title	RC435-571 Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder bipolar disorder default mode network network homogeneity cognitive dysfunction dyslipidemia
topic	misc RC435-571 misc bipolar disorder misc default mode network misc network homogeneity misc cognitive dysfunction misc dyslipidemia misc Psychiatry
topic_unstemmed	misc RC435-571 misc bipolar disorder misc default mode network misc network homogeneity misc cognitive dysfunction misc dyslipidemia misc Psychiatry
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title	Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder
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title_full	Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder
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title_sort	dissociation pattern in default-mode network homogeneity in drug-naive bipolar disorder
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title_auth	Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder
abstract	Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD.
abstractGer	Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD.
abstract_unstemmed	Default mode network (DMN) plays a key role in the pathophysiology of in bipolar disorder (BD). However, the homogeneity of this network in BD is still poorly understood. This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with BD. Forty drug-naive patients with BD and thirty-seven healthy control subjects participated in the study. Network homogeneity (NH) and independent component analysis (ICA) methods were used for data analysis. Support vector machines (SVM) method was used to analyze NH in different brain regions. Compared with healthy controls, significantly increased NH in the left superior medial prefrontal cortex (MPFC) and decreased NH in the right posterior cingulate cortex (PCC) and bilateral precuneus were found in patients with BD. NH in the right PCC was positively correlated with the verbal fluency test and verbal function total scores. NH in the left superior MPFC was negatively correlated with triglyceride (TG). NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of BD.
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title_short	Dissociation Pattern in Default-Mode Network Homogeneity in Drug-Naive Bipolar Disorder
url	https://doi.org/10.3389/fpsyt.2021.699292 https://doaj.org/article/b490f463a18f4f60a4fbaa3646d45fd2 https://www.frontiersin.org/articles/10.3389/fpsyt.2021.699292/full https://doaj.org/toc/1664-0640
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author2	Ziwei Teng Yan Qiu Pan Pan Chujun Wu Kun Jin Lu Wang Jindong Chen Hui Tang Hui Xiang Sara Arenas De Leon Jing Huang Wenbin Guo Bolun Wang Haishan Wu
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up_date	2024-07-04T00:16:39.866Z
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NH in the right PCC was positively correlated with TG but negatively correlated with high-density lipoprotein cholesterol (HDL-C). NH in the bilateral precuneus was positively correlated with cholesterol and low-density lipoprotein cholesterol (LDL-C). In addition, NH in the left superior MPFC showed high sensitivity (80.00%), specificity (71.43%), and accuracy (75.61%) in the SVM results. 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