Interaction of developmental factors and ordinary stressful life events on brain structure in adults

An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry...
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Autor*in:	Kai G. Ringwald [verfasserIn] Tina Meller [verfasserIn] Simon Schmitt [verfasserIn] Till F.M. Andlauer [verfasserIn] Frederike Stein [verfasserIn] Katharina Brosch [verfasserIn] Julia-Katharina Pfarr [verfasserIn] Olaf Steinsträter [verfasserIn] Susanne Meinert [verfasserIn] Hannah Lemke [verfasserIn] Lena Waltemate [verfasserIn] Katharina Thiel [verfasserIn] Dominik Grotegerd [verfasserIn] Verena Enneking [verfasserIn] Melissa Klug [verfasserIn] Andreas Jansen [verfasserIn] Andreas J. Forstner [verfasserIn] Fabian Streit [verfasserIn] Stephanie H. Witt [verfasserIn] Marcella Rietschel [verfasserIn] Bertram Müller-Myhsok [verfasserIn] Markus M. Nöthen [verfasserIn] Udo Dannlowski [verfasserIn] Axel Krug [verfasserIn] Igor Nenadić [verfasserIn] Tilo Kircher [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging

Übergeordnetes Werk:	In: NeuroImage: Clinical - Elsevier, 2015, 30(2021), Seite 102683-
Übergeordnetes Werk:	volume:30 ; year:2021 ; pages:102683-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.nicl.2021.102683

Katalog-ID:	DOAJ052877965

Internformat


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520			\|a An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects.
650		4	\|a Stressful life events
650		4	\|a Orbitofrontal cortex
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653		0	\|a Computer applications to medicine. Medical informatics
653		0	\|a Neurology. Diseases of the nervous system
700	0		\|a Tina Meller \|e verfasserin \|4 aut
700	0		\|a Simon Schmitt \|e verfasserin \|4 aut
700	0		\|a Till F.M. Andlauer \|e verfasserin \|4 aut
700	0		\|a Frederike Stein \|e verfasserin \|4 aut
700	0		\|a Katharina Brosch \|e verfasserin \|4 aut
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700	0		\|a Hannah Lemke \|e verfasserin \|4 aut
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700	0		\|a Dominik Grotegerd \|e verfasserin \|4 aut
700	0		\|a Verena Enneking \|e verfasserin \|4 aut
700	0		\|a Melissa Klug \|e verfasserin \|4 aut
700	0		\|a Andreas Jansen \|e verfasserin \|4 aut
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700	0		\|a Fabian Streit \|e verfasserin \|4 aut
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700	0		\|a Marcella Rietschel \|e verfasserin \|4 aut
700	0		\|a Bertram Müller-Myhsok \|e verfasserin \|4 aut
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700	0		\|a Axel Krug \|e verfasserin \|4 aut
700	0		\|a Igor Nenadić \|e verfasserin \|4 aut
700	0		\|a Tilo Kircher \|e verfasserin \|4 aut
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allfields	10.1016/j.nicl.2021.102683 doi (DE-627)DOAJ052877965 (DE-599)DOAJ620f40ba89c548159ea79de86bdce15a DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Kai G. Ringwald verfasserin aut Interaction of developmental factors and ordinary stressful life events on brain structure in adults 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects. Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Tina Meller verfasserin aut Simon Schmitt verfasserin aut Till F.M. Andlauer verfasserin aut Frederike Stein verfasserin aut Katharina Brosch verfasserin aut Julia-Katharina Pfarr verfasserin aut Olaf Steinsträter verfasserin aut Susanne Meinert verfasserin aut Hannah Lemke verfasserin aut Lena Waltemate verfasserin aut Katharina Thiel verfasserin aut Dominik Grotegerd verfasserin aut Verena Enneking verfasserin aut Melissa Klug verfasserin aut Andreas Jansen verfasserin aut Andreas J. Forstner verfasserin aut Fabian Streit verfasserin aut Stephanie H. Witt verfasserin aut Marcella Rietschel verfasserin aut Bertram Müller-Myhsok verfasserin aut Markus M. Nöthen verfasserin aut Udo Dannlowski verfasserin aut Axel Krug verfasserin aut Igor Nenadić verfasserin aut Tilo Kircher verfasserin aut In NeuroImage: Clinical Elsevier, 2015 30(2021), Seite 102683- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:30 year:2021 pages:102683- https://doi.org/10.1016/j.nicl.2021.102683 kostenfrei https://doaj.org/article/620f40ba89c548159ea79de86bdce15a kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158221001273 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 30 2021 102683-
spelling	10.1016/j.nicl.2021.102683 doi (DE-627)DOAJ052877965 (DE-599)DOAJ620f40ba89c548159ea79de86bdce15a DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Kai G. Ringwald verfasserin aut Interaction of developmental factors and ordinary stressful life events on brain structure in adults 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects. Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Tina Meller verfasserin aut Simon Schmitt verfasserin aut Till F.M. Andlauer verfasserin aut Frederike Stein verfasserin aut Katharina Brosch verfasserin aut Julia-Katharina Pfarr verfasserin aut Olaf Steinsträter verfasserin aut Susanne Meinert verfasserin aut Hannah Lemke verfasserin aut Lena Waltemate verfasserin aut Katharina Thiel verfasserin aut Dominik Grotegerd verfasserin aut Verena Enneking verfasserin aut Melissa Klug verfasserin aut Andreas Jansen verfasserin aut Andreas J. Forstner verfasserin aut Fabian Streit verfasserin aut Stephanie H. Witt verfasserin aut Marcella Rietschel verfasserin aut Bertram Müller-Myhsok verfasserin aut Markus M. Nöthen verfasserin aut Udo Dannlowski verfasserin aut Axel Krug verfasserin aut Igor Nenadić verfasserin aut Tilo Kircher verfasserin aut In NeuroImage: Clinical Elsevier, 2015 30(2021), Seite 102683- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:30 year:2021 pages:102683- https://doi.org/10.1016/j.nicl.2021.102683 kostenfrei https://doaj.org/article/620f40ba89c548159ea79de86bdce15a kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158221001273 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 30 2021 102683-
allfields_unstemmed	10.1016/j.nicl.2021.102683 doi (DE-627)DOAJ052877965 (DE-599)DOAJ620f40ba89c548159ea79de86bdce15a DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Kai G. Ringwald verfasserin aut Interaction of developmental factors and ordinary stressful life events on brain structure in adults 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects. Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Tina Meller verfasserin aut Simon Schmitt verfasserin aut Till F.M. Andlauer verfasserin aut Frederike Stein verfasserin aut Katharina Brosch verfasserin aut Julia-Katharina Pfarr verfasserin aut Olaf Steinsträter verfasserin aut Susanne Meinert verfasserin aut Hannah Lemke verfasserin aut Lena Waltemate verfasserin aut Katharina Thiel verfasserin aut Dominik Grotegerd verfasserin aut Verena Enneking verfasserin aut Melissa Klug verfasserin aut Andreas Jansen verfasserin aut Andreas J. Forstner verfasserin aut Fabian Streit verfasserin aut Stephanie H. Witt verfasserin aut Marcella Rietschel verfasserin aut Bertram Müller-Myhsok verfasserin aut Markus M. Nöthen verfasserin aut Udo Dannlowski verfasserin aut Axel Krug verfasserin aut Igor Nenadić verfasserin aut Tilo Kircher verfasserin aut In NeuroImage: Clinical Elsevier, 2015 30(2021), Seite 102683- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:30 year:2021 pages:102683- https://doi.org/10.1016/j.nicl.2021.102683 kostenfrei https://doaj.org/article/620f40ba89c548159ea79de86bdce15a kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158221001273 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 30 2021 102683-
allfieldsGer	10.1016/j.nicl.2021.102683 doi (DE-627)DOAJ052877965 (DE-599)DOAJ620f40ba89c548159ea79de86bdce15a DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Kai G. Ringwald verfasserin aut Interaction of developmental factors and ordinary stressful life events on brain structure in adults 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects. Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Tina Meller verfasserin aut Simon Schmitt verfasserin aut Till F.M. Andlauer verfasserin aut Frederike Stein verfasserin aut Katharina Brosch verfasserin aut Julia-Katharina Pfarr verfasserin aut Olaf Steinsträter verfasserin aut Susanne Meinert verfasserin aut Hannah Lemke verfasserin aut Lena Waltemate verfasserin aut Katharina Thiel verfasserin aut Dominik Grotegerd verfasserin aut Verena Enneking verfasserin aut Melissa Klug verfasserin aut Andreas Jansen verfasserin aut Andreas J. Forstner verfasserin aut Fabian Streit verfasserin aut Stephanie H. Witt verfasserin aut Marcella Rietschel verfasserin aut Bertram Müller-Myhsok verfasserin aut Markus M. Nöthen verfasserin aut Udo Dannlowski verfasserin aut Axel Krug verfasserin aut Igor Nenadić verfasserin aut Tilo Kircher verfasserin aut In NeuroImage: Clinical Elsevier, 2015 30(2021), Seite 102683- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:30 year:2021 pages:102683- https://doi.org/10.1016/j.nicl.2021.102683 kostenfrei https://doaj.org/article/620f40ba89c548159ea79de86bdce15a kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158221001273 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 30 2021 102683-
allfieldsSound	10.1016/j.nicl.2021.102683 doi (DE-627)DOAJ052877965 (DE-599)DOAJ620f40ba89c548159ea79de86bdce15a DE-627 ger DE-627 rakwb eng R858-859.7 RC346-429 Kai G. Ringwald verfasserin aut Interaction of developmental factors and ordinary stressful life events on brain structure in adults 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects. Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system Tina Meller verfasserin aut Simon Schmitt verfasserin aut Till F.M. Andlauer verfasserin aut Frederike Stein verfasserin aut Katharina Brosch verfasserin aut Julia-Katharina Pfarr verfasserin aut Olaf Steinsträter verfasserin aut Susanne Meinert verfasserin aut Hannah Lemke verfasserin aut Lena Waltemate verfasserin aut Katharina Thiel verfasserin aut Dominik Grotegerd verfasserin aut Verena Enneking verfasserin aut Melissa Klug verfasserin aut Andreas Jansen verfasserin aut Andreas J. Forstner verfasserin aut Fabian Streit verfasserin aut Stephanie H. Witt verfasserin aut Marcella Rietschel verfasserin aut Bertram Müller-Myhsok verfasserin aut Markus M. Nöthen verfasserin aut Udo Dannlowski verfasserin aut Axel Krug verfasserin aut Igor Nenadić verfasserin aut Tilo Kircher verfasserin aut In NeuroImage: Clinical Elsevier, 2015 30(2021), Seite 102683- (DE-627)735358869 (DE-600)2701571-3 22131582 nnns volume:30 year:2021 pages:102683- https://doi.org/10.1016/j.nicl.2021.102683 kostenfrei https://doaj.org/article/620f40ba89c548159ea79de86bdce15a kostenfrei http://www.sciencedirect.com/science/article/pii/S2213158221001273 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 30 2021 102683-
language	English
source	In NeuroImage: Clinical 30(2021), Seite 102683- volume:30 year:2021 pages:102683-
sourceStr	In NeuroImage: Clinical 30(2021), Seite 102683- volume:30 year:2021 pages:102683-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging Computer applications to medicine. Medical informatics Neurology. Diseases of the nervous system
isfreeaccess_bool	true
container_title	NeuroImage: Clinical
authorswithroles_txt_mv	Kai G. Ringwald @@aut@@ Tina Meller @@aut@@ Simon Schmitt @@aut@@ Till F.M. Andlauer @@aut@@ Frederike Stein @@aut@@ Katharina Brosch @@aut@@ Julia-Katharina Pfarr @@aut@@ Olaf Steinsträter @@aut@@ Susanne Meinert @@aut@@ Hannah Lemke @@aut@@ Lena Waltemate @@aut@@ Katharina Thiel @@aut@@ Dominik Grotegerd @@aut@@ Verena Enneking @@aut@@ Melissa Klug @@aut@@ Andreas Jansen @@aut@@ Andreas J. Forstner @@aut@@ Fabian Streit @@aut@@ Stephanie H. Witt @@aut@@ Marcella Rietschel @@aut@@ Bertram Müller-Myhsok @@aut@@ Markus M. Nöthen @@aut@@ Udo Dannlowski @@aut@@ Axel Krug @@aut@@ Igor Nenadić @@aut@@ Tilo Kircher @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	735358869
id	DOAJ052877965
language_de	englisch
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Ringwald</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Interaction of developmental factors and ordinary stressful life events on brain structure in adults</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</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">An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. 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callnumber-first	R - Medicine
author	Kai G. Ringwald
spellingShingle	Kai G. Ringwald misc R858-859.7 misc RC346-429 misc Stressful life events misc Orbitofrontal cortex misc Voxel-based morphometry misc Magnetic resonance imaging misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system Interaction of developmental factors and ordinary stressful life events on brain structure in adults
authorStr	Kai G. Ringwald
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topic_title	R858-859.7 RC346-429 Interaction of developmental factors and ordinary stressful life events on brain structure in adults Stressful life events Orbitofrontal cortex Voxel-based morphometry Magnetic resonance imaging
topic	misc R858-859.7 misc RC346-429 misc Stressful life events misc Orbitofrontal cortex misc Voxel-based morphometry misc Magnetic resonance imaging misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system
topic_unstemmed	misc R858-859.7 misc RC346-429 misc Stressful life events misc Orbitofrontal cortex misc Voxel-based morphometry misc Magnetic resonance imaging misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system
topic_browse	misc R858-859.7 misc RC346-429 misc Stressful life events misc Orbitofrontal cortex misc Voxel-based morphometry misc Magnetic resonance imaging misc Computer applications to medicine. Medical informatics misc Neurology. Diseases of the nervous system
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title	Interaction of developmental factors and ordinary stressful life events on brain structure in adults
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title_full	Interaction of developmental factors and ordinary stressful life events on brain structure in adults
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author_browse	Kai G. Ringwald Tina Meller Simon Schmitt Till F.M. Andlauer Frederike Stein Katharina Brosch Julia-Katharina Pfarr Olaf Steinsträter Susanne Meinert Hannah Lemke Lena Waltemate Katharina Thiel Dominik Grotegerd Verena Enneking Melissa Klug Andreas Jansen Andreas J. Forstner Fabian Streit Stephanie H. Witt Marcella Rietschel Bertram Müller-Myhsok Markus M. Nöthen Udo Dannlowski Axel Krug Igor Nenadić Tilo Kircher
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author-letter	Kai G. Ringwald
doi_str_mv	10.1016/j.nicl.2021.102683
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title_sort	interaction of developmental factors and ordinary stressful life events on brain structure in adults
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title_auth	Interaction of developmental factors and ordinary stressful life events on brain structure in adults
abstract	An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects.
abstractGer	An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects.
abstract_unstemmed	An interplay of early environmental and genetic risk factors with recent stressful life events (SLEs) in adulthood increases the risk for adverse mental health outcomes. The interaction of early risk and current SLEs on brain structure has hardly been investigated.Whole brain voxel-based morphometry analysis was performed in N = 786 (64.6% female, mean age = 33.39) healthy subjects to identify correlations of brain clusters with commonplace recent SLEs. Genetic and early environmental risk factors, operationalized as those for severe psychopathology (i.e., polygenic scores for neuroticism, childhood maltreatment, urban upbringing and paternal age) were assessed as modulators of the impact of SLEs on the brain.SLEs were negatively correlated with grey matter volume in the left medial orbitofrontal cortex (mOFC, FWE p = 0.003). This association was present for both, positive and negative, life events. Cognitive-emotional variables, i.e., neuroticism, perceived stress, trait anxiety, intelligence, and current depressive symptoms did not account for the SLE-mOFC association. Further, genetic and environmental risk factors were not correlated with grey matter volume in the left mOFC cluster and did not affect the association between SLEs and left mOFC grey matter volume.The orbitofrontal cortex has been implicated in stress-related psychopathology, particularly major depression in previous studies. We find that SLEs are associated with this area. Important early life risk factors do not interact with current SLEs on brain morphology in healthy subjects.
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title_short	Interaction of developmental factors and ordinary stressful life events on brain structure in adults
url	https://doi.org/10.1016/j.nicl.2021.102683 https://doaj.org/article/620f40ba89c548159ea79de86bdce15a http://www.sciencedirect.com/science/article/pii/S2213158221001273 https://doaj.org/toc/2213-1582
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author2	Tina Meller Simon Schmitt Till F.M. Andlauer Frederike Stein Katharina Brosch Julia-Katharina Pfarr Olaf Steinsträter Susanne Meinert Hannah Lemke Lena Waltemate Katharina Thiel Dominik Grotegerd Verena Enneking Melissa Klug Andreas Jansen Andreas J. Forstner Fabian Streit Stephanie H. Witt Marcella Rietschel Bertram Müller-Myhsok Markus M. Nöthen Udo Dannlowski Axel Krug Igor Nenadić Tilo Kircher
author2Str	Tina Meller Simon Schmitt Till F.M. Andlauer Frederike Stein Katharina Brosch Julia-Katharina Pfarr Olaf Steinsträter Susanne Meinert Hannah Lemke Lena Waltemate Katharina Thiel Dominik Grotegerd Verena Enneking Melissa Klug Andreas Jansen Andreas J. Forstner Fabian Streit Stephanie H. Witt Marcella Rietschel Bertram Müller-Myhsok Markus M. Nöthen Udo Dannlowski Axel Krug Igor Nenadić Tilo Kircher
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doi_str	10.1016/j.nicl.2021.102683
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up_date	2024-07-03T14:33:42.600Z
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Interaction of developmental factors and ordinary stressful life events on brain structure in adults

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