Functional connectivity analysis of childhood depressive symptoms

Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth coho...
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Autor*in:	Pei Huang [verfasserIn] Shi Yu Chan [verfasserIn] Zhen Ming Ngoh [verfasserIn] Ranjani Nadarajan [verfasserIn] Yap Seng Chong [verfasserIn] Peter D. Gluckman [verfasserIn] Helen Chen [verfasserIn] Marielle V. Fortier [verfasserIn] Ai Peng Tan [verfasserIn] Michael J. Meaney [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula

Übergeordnetes Werk:	In: NeuroImage: Clinical - Elsevier, 2015, 38(2023), Seite 103395-
Übergeordnetes Werk:	volume:38 ; year:2023 ; pages:103395-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.nicl.2023.103395

Katalog-ID:	DOAJ089045149

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520			\|a Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.
650		4	\|a Childhood depression
650		4	\|a rsfMRI
650		4	\|a Functional connectivity analysis
650		4	\|a Somatomotor network
650		4	\|a Temporoparietal network
650		4	\|a Insula
653		0	\|a Computer applications to medicine. Medical informatics
653		0	\|a Neurology. Diseases of the nervous system
700	0		\|a Shi Yu Chan \|e verfasserin \|4 aut
700	0		\|a Zhen Ming Ngoh \|e verfasserin \|4 aut
700	0		\|a Ranjani Nadarajan \|e verfasserin \|4 aut
700	0		\|a Yap Seng Chong \|e verfasserin \|4 aut
700	0		\|a Peter D. Gluckman \|e verfasserin \|4 aut
700	0		\|a Helen Chen \|e verfasserin \|4 aut
700	0		\|a Marielle V. Fortier \|e verfasserin \|4 aut
700	0		\|a Ai Peng Tan \|e verfasserin \|4 aut
700	0		\|a Michael J. Meaney \|e verfasserin \|4 aut
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spelling	10.1016/j.nicl.2023.103395 doi (DE-627)DOAJ089045149 (DE-599)DOAJ9abe479e8bed49bea29b7936877adbce DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Pei Huang verfasserin aut Functional connectivity analysis of childhood depressive symptoms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms. Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Shi Yu Chan verfasserin aut Zhen Ming Ngoh verfasserin aut Ranjani Nadarajan verfasserin aut Yap Seng Chong verfasserin aut Peter D. Gluckman verfasserin aut Helen Chen verfasserin aut Marielle V. Fortier verfasserin aut Ai Peng Tan verfasserin aut Michael J. Meaney verfasserin aut In NeuroImage: Clinical Elsevier, 2015 38(2023), Seite 103395- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:38 year:2023 pages:103395- https://doi.org/10.1016/j.nicl.2023.103395 kostenfrei https://doaj.org/article/9abe479e8bed49bea29b7936877adbce kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158223000840 kostenfrei https://doaj.org/toc/2213-1582 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 38 2023 103395-
allfields_unstemmed	10.1016/j.nicl.2023.103395 doi (DE-627)DOAJ089045149 (DE-599)DOAJ9abe479e8bed49bea29b7936877adbce DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Pei Huang verfasserin aut Functional connectivity analysis of childhood depressive symptoms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms. Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Shi Yu Chan verfasserin aut Zhen Ming Ngoh verfasserin aut Ranjani Nadarajan verfasserin aut Yap Seng Chong verfasserin aut Peter D. Gluckman verfasserin aut Helen Chen verfasserin aut Marielle V. Fortier verfasserin aut Ai Peng Tan verfasserin aut Michael J. Meaney verfasserin aut In NeuroImage: Clinical Elsevier, 2015 38(2023), Seite 103395- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:38 year:2023 pages:103395- https://doi.org/10.1016/j.nicl.2023.103395 kostenfrei https://doaj.org/article/9abe479e8bed49bea29b7936877adbce kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158223000840 kostenfrei https://doaj.org/toc/2213-1582 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 38 2023 103395-
allfieldsGer	10.1016/j.nicl.2023.103395 doi (DE-627)DOAJ089045149 (DE-599)DOAJ9abe479e8bed49bea29b7936877adbce DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Pei Huang verfasserin aut Functional connectivity analysis of childhood depressive symptoms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms. Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Shi Yu Chan verfasserin aut Zhen Ming Ngoh verfasserin aut Ranjani Nadarajan verfasserin aut Yap Seng Chong verfasserin aut Peter D. Gluckman verfasserin aut Helen Chen verfasserin aut Marielle V. Fortier verfasserin aut Ai Peng Tan verfasserin aut Michael J. Meaney verfasserin aut In NeuroImage: Clinical Elsevier, 2015 38(2023), Seite 103395- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:38 year:2023 pages:103395- https://doi.org/10.1016/j.nicl.2023.103395 kostenfrei https://doaj.org/article/9abe479e8bed49bea29b7936877adbce kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158223000840 kostenfrei https://doaj.org/toc/2213-1582 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 38 2023 103395-
allfieldsSound	10.1016/j.nicl.2023.103395 doi (DE-627)DOAJ089045149 (DE-599)DOAJ9abe479e8bed49bea29b7936877adbce DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Pei Huang verfasserin aut Functional connectivity analysis of childhood depressive symptoms 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms. Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Shi Yu Chan verfasserin aut Zhen Ming Ngoh verfasserin aut Ranjani Nadarajan verfasserin aut Yap Seng Chong verfasserin aut Peter D. Gluckman verfasserin aut Helen Chen verfasserin aut Marielle V. Fortier verfasserin aut Ai Peng Tan verfasserin aut Michael J. Meaney verfasserin aut In NeuroImage: Clinical Elsevier, 2015 38(2023), Seite 103395- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:38 year:2023 pages:103395- https://doi.org/10.1016/j.nicl.2023.103395 kostenfrei https://doaj.org/article/9abe479e8bed49bea29b7936877adbce kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158223000840 kostenfrei https://doaj.org/toc/2213-1582 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 38 2023 103395-
language	English
source	In NeuroImage: Clinical 38(2023), Seite 103395- volume:38 year:2023 pages:103395-
sourceStr	In NeuroImage: Clinical 38(2023), Seite 103395- volume:38 year:2023 pages:103395-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system
isfreeaccess_bool	true
container_title	NeuroImage: Clinical
authorswithroles_txt_mv	Pei Huang @@aut@@ Shi Yu Chan @@aut@@ Zhen Ming Ngoh @@aut@@ Ranjani Nadarajan @@aut@@ Yap Seng Chong @@aut@@ Peter D. Gluckman @@aut@@ Helen Chen @@aut@@ Marielle V. Fortier @@aut@@ Ai Peng Tan @@aut@@ Michael J. Meaney @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	735358869
id	DOAJ089045149
language_de	englisch
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callnumber-first	R - Medicine
author	Pei Huang
spellingShingle	Pei Huang misc R858-859.7 misc RC346-429 misc Childhood depression misc rsfMRI misc Functional connectivity analysis misc Somatomotor network misc Temporoparietal network misc Insula misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system Functional connectivity analysis of childhood depressive symptoms
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topic_title	R858-859.7 RC346-429 Functional connectivity analysis of childhood depressive symptoms Childhood depression rsfMRI Functional connectivity analysis Somatomotor network Temporoparietal network Insula
topic	misc R858-859.7 misc RC346-429 misc Childhood depression misc rsfMRI misc Functional connectivity analysis misc Somatomotor network misc Temporoparietal network misc Insula misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system
topic_unstemmed	misc R858-859.7 misc RC346-429 misc Childhood depression misc rsfMRI misc Functional connectivity analysis misc Somatomotor network misc Temporoparietal network misc Insula misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system
topic_browse	misc R858-859.7 misc RC346-429 misc Childhood depression misc rsfMRI misc Functional connectivity analysis misc Somatomotor network misc Temporoparietal network misc Insula misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system
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title	Functional connectivity analysis of childhood depressive symptoms
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title_full	Functional connectivity analysis of childhood depressive symptoms
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author_browse	Pei Huang Shi Yu Chan Zhen Ming Ngoh Ranjani Nadarajan Yap Seng Chong Peter D. Gluckman Helen Chen Marielle V. Fortier Ai Peng Tan Michael J. Meaney
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title_sort	functional connectivity analysis of childhood depressive symptoms
callnumber	R858-859.7
title_auth	Functional connectivity analysis of childhood depressive symptoms
abstract	Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.
abstractGer	Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.
abstract_unstemmed	Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.
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title_short	Functional connectivity analysis of childhood depressive symptoms
url	https://doi.org/10.1016/j.nicl.2023.103395 https://doaj.org/article/9abe479e8bed49bea29b7936877adbce http://www.sciencedirect.com/science/article/pii/S2213158223000840 https://doaj.org/toc/2213-1582
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up_date	2024-07-03T20:56:37.122Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ089045149</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505001500.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230505s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.nicl.2023.103395</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ089045149</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ9abe479e8bed49bea29b7936877adbce</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">R858-859.7</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC346-429</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Pei Huang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Functional connectivity analysis of childhood depressive symptoms</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background: Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. Methods: A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. Results: Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. Conclusions: This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. 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Functional connectivity analysis of childhood depressive symptoms

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