Developmental pathways to amygdala–prefrontal function and internalizing symptoms in adolescence
Open accessAbstract
Early life stress (ELS) and function of the hypothalamic-pituitary-adrenal axis predict later psychopathology. Animal studies and cross-sectional human studies suggest that this process might operate through amygdala-ventromedial prefrontal cortex (vmPFC) circuitry implicated in the regulation of emotion. Here we prospectively investigated the roles of ELS and childhood basal cortisol amounts in the development of adolescent resting-state functional connectivity (rs-FC), assessed by functional connectivity magnetic resonance imaging (fcMRI), in the amygdala-PFC circuit. In females only, greater ELS predicted increased childhood cortisol levels, which predicted decreased amygdala-vmPFC rs-FC 14 years later. For females, adolescent amygdala-vmPFC functional connectivity was inversely correlated with concurrent anxiety symptoms but positively associated with depressive symptoms, suggesting differing pathways from childhood cortisol levels function through adolescent amygdala-vmPFC functional connectivity to anxiety and depression. These data highlight that, for females, the effects of ELS and early HPA-axis function may be detected much later in the intrinsic processing of emotion-related brain circuits.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 21 cited sources checked · 0 supported · 0 flagged
- Findingown data
In partial correlations for the total sample, adolescent amygdala-vmPFC fcMRI was significantly positively correlated with adolescent depression.
“and significantly positively correlated with adolescent depression.”
Quote in the paperSubstantial claim - Findingown data
In the total sample, ELS and childhood late afternoon cortisol were significantly positively associated.
“Bivariate Pearson-r (two-tailed) correlations for the total sample revealed a significant positive association between ELS and childhood late afternoon cortisol”
Quote in the paperSubstantial claim - Findingown data
Childhood late afternoon cortisol was inversely associated with adolescent amygdala-vmPFC functional connectivity measured 14 years later.
“childhood cortisol was negatively correlated with functional connectivity estimates between the left amygdala and a voxel cluster in the vmPFC (peak t-statistic: t(56) = −5.97, R2 = 0.36, FDR-corrected p = 0.01).”
- Also stated in: § ELS, Childhood Cortisol, and Adolescent fcMRI · plain
“Higher late afternoon cortisol levels during childhood were associated with decreased amygdala-vmPFC fcMRI fourteen years later”
- Also stated in: § ELS, Childhood Cortisol, and Adolescent fcMRI · plain
“and a significant inverse association between childhood cortisol and adolescent amygdala-vmPFC fcMRI (Table 2).”
Quote in the paperSubstantial claim - Also stated in: § ELS, Childhood Cortisol, and Adolescent fcMRI · plain
- Findingown data
Gender significantly moderated both pathways in the SEM.
“Further, gender significantly moderated both pathways.”
Quote in the paperSubstantial claim - Findingown data
The mediating effect of childhood cortisol on the association between ELS and adolescent amygdala-vmPFC fcMRI was marginally significant (Indirect Est = −0.06, p = 0.09).
“the mediating effect of childhood cortisol was marginally significant (Indirect Est = −0.06, p = 0.09).”
Quote in the paperSubstantial claim
- Findingown data
There was no direct effect of ELS on adolescent amygdala-vmPFC fcMRI in the SEM.
“There was no direct effect of ELS on adolescent amygdala-vmPFC fcMRI”
Quote in the paperSubstantial claim - Findingown data
Voxel-wise analyses using the left amygdala seed found no significant associations between ELS and resting-state fcMRI between the amygdala and any other brain region.
“Voxel-wise analyses with the left amygdala seed revealed no statistically significant associations between ELS and resting-state fcMRI between the amygdala and any other brain regions.”
Quote in the paperNot a substantial claim - Findingown data
When analyzed separately by sex, the associations between adolescent amygdala-vmPFC fcMRI and anxiety/depression were largely specific to females.
“When considered separately for males and females, results suggested, again, that these effects were largely specific to females.”
Quote in the paperSubstantial claim - Findingown data
Bivariate correlations showed no significant associations between adolescent amygdala-vmPFC fcMRI and concurrent anxiety or depressive symptoms before controlling for each other and externalizing symptoms.
“Bivariate Pearson-r (two-tailed) correlations revealed no significant associations between adolescent amygdala-vmPFC fcMRI and concurrent anxiety or depressive symptoms prior to controlling for each other and for externalizing symptoms (Table 3).”
Quote in the paperSubstantial claim - Findingown data
In partial correlations for the total sample, adolescent amygdala-vmPFC fcMRI was significantly inversely correlated with adolescent anxiety.
“Pearson-r partial correlations revealed that, for the total sample, adolescent amygdala-vmPFC fcMRI was significantly inversely correlated with adolescent anxiety”
Quote in the paperSubstantial claim - Findingown data
When analyzed separately by sex, the associations of ELS and childhood cortisol with adolescent amygdala-vmPFC fcMRI were largely specific to females.
“When considered separately for males and females, results suggested that these effects were largely specific to females.”
Quote in the paperSubstantial claim - Findingown data
Only females showed a marginally significant inverse relationship between ELS and amygdala-vmPFC fcMRI, with higher ELS linked to lower connectivity.
“Moreover, only females demonstrated a detectable, but marginally-significant (p = 0.07), inverse relationship between ELS and amygdala-vmPFC fcMRI, with higher ELS exposure linked to lower functional connectivity.”
Quote in the paperSubstantial claim - Findingown data
Females with greater inverse adolescent amygdala-vmPFC fcMRI had higher levels of anxiety at age 18.
“Moreover, females with greater inverse adolescent amygdala-vmPFC fcMRI had higher levels of anxiety at 18 years”
Quote in the paperSubstantial claim - Findingown data
The mediating effect of adolescent amygdala-vmPFC fcMRI on the association between childhood cortisol and adolescent anxiety symptoms was marginally significant (Indirect Est = 0.13, p = 0.08).
“the mediating effect of adolescent amygdala-vmPFC fcMRI was marginally significant (Indirect Est = 0.13, p = 0.08).”
Quote in the paperSubstantial claim - Findingown data
There was a marginally significant direct effect of childhood cortisol on adolescent depressive symptoms.
“There was a marginally-significant direct effect of childhood cortisol on adolescent depressive symptoms”
Quote in the paperNot a substantial claim - Findingown data
Especially for females, adolescent amygdala-vmPFC fcMRI is negatively correlated with concurrent anxiety symptoms.
“Together, these results show that, especially for females, amygdala-vmPFC fcMRI is negatively correlated with concurrent symptoms of anxiety”
Quote in the paperSubstantial claim - Findingown data
Gender significantly moderated the association of childhood cortisol with fcMRI in the anxiety model.
“Further, gender significantly moderated the association of childhood cortisol with fcMRI.”
Quote in the paperSubstantial claim - Findingown data
The moderating effect of gender on the association of fcMRI with anxiety was non-significant (p = 0.23).
“However, because this model revealed a non-significant moderating effect of gender on the association of fcMRI with anxiety (p = 0.23)”
Quote in the paperSubstantial claim - Findingown data
The mediating effect of adolescent amygdala-vmPFC fcMRI on the association between childhood cortisol and adolescent depressive symptoms was significant (Indirect Est = −0.18, p = 0.02).
“the mediating effect of adolescent amygdala-vmPFC fcMRI was significant (Indirect Est = −0.18, p = 0.02).”
Quote in the paperSubstantial claim - Findingown data
Only females displayed longitudinal links among infancy ELS, childhood late afternoon basal cortisol, and adolescent neural connectivity.
“The fact that only females evinced these longitudinal associations between ELS during infancy, childhood late afternoon basal cortisol, and neural connectivity in adolescence”
Quote in the paperSubstantial claim - Findingown data
There was no direct effect of childhood cortisol on adolescent anxiety symptoms in the SEM.
“There was no direct effect of childhood cortisol on adolescent anxiety symptoms”
Quote in the paperSubstantial claim - Findingown data
Childhood evening cortisol levels showed no detectable relationship with the time of day samples were collected (r = 0.03, p = 0.90).
“No differences in cortisol levels were detected as a function of time of collection (r = 0.03, p = 0.90)”
Quote in the paperNot a substantial claim - Findingown data
The second structural equation model showed a non-significant moderating effect of gender on the association between fcMRI and anxiety (p = 0.23).
“While this model revealed a non-significant moderating effect of gender on the association of fcMRI with anxiety (p = 0.23)”
Quote in the paperNot a substantial claim - Findingown data
In females, the financial stress subscale was significantly correlated with amygdala-vmPFC fcMRI.
“and significantly correlated with amygdala-vmPFC fcMRI”
Quote in the paperNot a substantial claim - Findingown data
The second structural equation model showed a marginally significant mediating effect of adolescent amygdala-vmPFC fcMRI (Indirect Est = 0.13, p = 0.08).
“demonstrated a marginally-significant mediating effect of adolescent amygdala-vmPFC fcMRI (Indirect Est = 0.13, p = 0.08)”
Quote in the paperSubstantial claim - Findingown data
Anxiety and depression symptoms were significantly correlated in the current sample (females r = 0.74, males r = 0.68, total r = 0.76).
“significant comorbidity of anxiety and depression (females: r = 0.74, p < 0.001; males: r = 0.68, p < 0.001; total: r = 0.76, p < 0.001)”
Quote in the paperNot a substantial claim - Findingown data
Removing the gender moderation pathway from the second structural equation model resulted in poor model fit (Chi2 = 17.15, p < 0.05, RMSEA = 0.19, CFI = 0.84).
“removing this pathway resulted in poor model fit (Chi2 = 17.15, p < 0.05, RMSEA = 0.19, CFI = 0.84)”
Quote in the paperSubstantial claim - Findingown data
Childhood evening cortisol was significantly negatively correlated with functional connectivity between the left amygdala and clusters in the posterior cingulate and cerebellum.
“voxel-wise analyses with childhood evening cortisol revealed significant negative correlations with functional connectivity estimates between the left amygdala and clusters in the posterior cingulate and cerebellum”
Quote in the paperNot a substantial claim - Findingown data
Depression and externalizing symptoms were significantly correlated in the current sample (females r = 0.51, males r = 0.47, total r = 0.45).
“and depression and externalizing symptoms (females: r = 0.51, p = 0.005; males: r = 0.47, p = 0.01; total: r = 0.45, p = 0.001)”
Quote in the paperNot a substantial claim - Findingown data
In females, the financial stress subscale was marginally correlated with childhood cortisol.
“only the financial stress subscale was marginally correlated with both childhood cortisol”
Quote in the paperNot a substantial claim - Findingown data
Gender did not moderate the path from fcMRI to depression (p = 0.34).
“gender did not moderate the path from fcMRI to depression (p = 0.34)”
Quote in the paperNot a substantial claim - Findingown data
The second structural equation model accounted for 64.6% of the variance in adolescent anxiety symptoms.
“This model (Figure 3) accounted for 64.6% of the variance in adolescent anxiety symptoms”
Quote in the paperNot a substantial claim - Findingown data
The negative association between childhood cortisol and amygdala-vmPFC connectivity remained significant after excluding the two participants with the highest cortisol values.
“Only the vmPFC-amygdala fcMRI estimates remained significant when the two individuals with the highest cortisol values were completely excluded from analyses (prior to winsorization), t(54) = −5.69, β = −0.62, R2 = 0.37, p < 0.001.”
Quote in the paperSubstantial claim - Findingown data
The third structural equation model for depression demonstrated good fit (Chi2 = 9.67, p > 0.05, RMSEA = 0.11, CFI = 0.94).
“This model demonstrated good fit (Chi2 = 9.67, p > 0.05, RMSEA = 0.11, CFI = 0.94)”
Quote in the paperSubstantial claim - Findingown data
In males, no significant associations were detected between individual maternal stress variables and childhood cortisol or amygdala-vmPFC fcMRI.
“each maternal stress variable’s association with childhood cortisol and fcMRI was examined independently. No significant associations were detected among the variables of interest in males.”
Quote in the paperNot a substantial claim - Findingown data
Anxiety and externalizing symptoms were significantly correlated in the current sample (females r = 0.57, males r = 0.56, total r = 0.49).
“as well as anxiety and externalizing (females: r = 0.57, p = 0.001; males: r = 0.56, p = 0.002; total: r = 0.49, p < 0.001)”
Quote in the paperNot a substantial claim - Premisecitation
Highly anxious people show lower resting amygdala-vmPFC connectivity.
“Highly anxious individuals exhibit reduced amygdala-vmPFC resting connectivity14”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Kim, M.J., Gee, D.G., Loucks, R.A., Davis, F.C. & Whalen, P.J. Anxiety dissociates dorsal and ventral medial prefrontal cortex functional connectivity with the amygdala at rest. Cereb. Cortex 21, 1667–1673 (2011). source
Not checked in the free run.
- Premisecitation
Higher current basal cortisol is linked to lower amygdala-vmPFC connectivity in adults.
“higher levels of current basal cortisol are associated with less amygdala-vmPFC connectivity in adults15.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Veer, I.M. et al. Endogenous cortisol is associated with functional connectivity between the amygdala and medial prefrontal cortex. Psychoneuroendocrinology 37, 1039–1047 (2012). source
Not checked in the free run.
- Interpretationnone given
The opposite directions of connectivity association with anxiety versus depression match earlier data.
“The difference in direction of association between connectivity and anxious versus depressive symptoms is consistent with prior data.”
Quote in the paperNot a substantial claim - Interpretationown data
For all adolescents, increased amygdala-vmPFC functional connectivity is associated with the development of depressive symptoms.
“Together, these results show that, for all adolescents, increased amygdala-vmPFC functional connectivity is associated with the development of depressive symptoms.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed associations are not due to unmeasured confounding.
- Interpretationown data
The pathway from cortisol to anxiety is specific to anxious symptoms.
“Importantly, models examining anxiety controlled for depressive and externalizing symptoms suggesting that this pathway is specific to anxious symptoms”
Quote in the paperSubstantial claim - Interpretationown data
In females, the route from childhood cortisol to adolescent anxiety symptoms runs via adolescent amygdala-vmPFC fcMRI.
“Further, for females only, the developmental pathway between childhood cortisol and adolescent anxiety symptoms operates through adolescent amygdala-vmPFC fcMRI.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed associations are not due to unmeasured confounding.
- Rests on an assumption: The temporal ordering of ELS, childhood cortisol, and adolescent fcMRI is sufficient to infer mediation.
- Interpretationown data
In females, the route from childhood cortisol to adolescent depressive symptoms partly runs through adolescent amygdala-vmPFC fcMRI.
“In addition, for females only, the developmental pathway between childhood cortisol and adolescent depressive symptoms operates, in part, through adolescent amygdala-vmPFC fcMRI.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed associations are not due to unmeasured confounding.
- Rests on an assumption: The temporal ordering of ELS, childhood cortisol, and adolescent fcMRI is sufficient to infer mediation.
- Interpretationown data
Adolescent resting-state connectivity patterns probably reflect accumulated influences starting early in life.
“implying that patterns of resting-state connectivity in adolescence likely reflect the cumulative impact of influences that begin early in life.”
Quote in the paperSubstantial claim - Premisenone given
No prior research has examined how amygdala-vmPFC resting connectivity relates differentially to anxiety and depression and how ELS and childhood HPA function affect these links.
“However, to the best of our knowledge, no research to date has examined the differential relations between amygdala-vmPFC resting state connectivity and anxious and depressive symptoms and explored how these associations are impacted by ELS and childhood HPA function.”
Quote in the paperNot a substantial claim - Interpretationown data
This work is the first to propose a neurodevelopmental route by which infancy ELS raises risk for adolescent internalizing disorders.
“Our findings are the first to suggest a neurodevelopmental mechanism by which ELS in infancy increases vulnerability for internalizing disorders in adolescence.”
Quote in the paperSubstantial claim - Study design and conductown data
Models examining anxiety controlled for depressive and externalizing symptoms.
“Importantly, models examining anxiety controlled for depressive and externalizing symptoms suggesting that this pathway is specific to anxious symptoms”
Quote in the paperSubstantial claim - Interpretationown data
The route from childhood cortisol to anxiety operated via resting-state connectivity in the amygdala-vmPFC circuit.
“subsequent analyses suggested that the developmental pathway from cortisol to anxiety worked through amygdala-vmPFC resting-state connectivity.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed associations are not due to unmeasured confounding.
- Rests on an assumption: The temporal ordering of ELS, childhood cortisol, and adolescent fcMRI is sufficient to infer mediation.
- May combine two claims. 26
- Classified as probably not a substantial claim. 8
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataThe second moderated mediation SEM for anxiety demonstrated good fit and accounted for 64.6% of variance in adolescent anxiety symptoms.
“This model (Figure 3) demonstrated good fit and accounted for 64.6% of the variance in adolescent anxiety symptoms.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe structural equation model for fcMRI showed excellent fit and accounted for 39.1% of variance in fcMRI.
“This model (Figure 2) showed excellent fit and accounted for 39.1% of the variance in fcMRI.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo voxel-wise relations were detected between amygdala-vmPFC fcMRI and either adolescent basal cortisol or current life stress.
“No voxel-wise relations were detected between amygdala-vmPFC fcMRI estimates and either adolescent basal cortisol or current life stress, suggesting that the observed effects were specific to childhood late afternoon basal cortisol function, not current stress or cortisol levels.”
- Also stated in: § Discussion · plain
“Despite their temporal proximity, concurrent measures of adolescent life stress and cortisol were not significantly associated with amygdala-vmPFC resting-state fcMRI”
Quote in the paperSubstantial claim- Also stated in: § Discussion · plain
May combine two claims.
Findingown dataThe modified depression model demonstrated improved fit and accounted for 56.2% of variance in depression.
“This modified model demonstrated improved fit and accounted for 56.2% of the variance in depression (Figure 5).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe parallel moderated mediation model for depression demonstrated good fit, but gender did not moderate the path from fcMRI to depression, so that pathway was omitted.
“Although this model demonstrated good fit, gender did not moderate the path from fcMRI to depression and thus, that pathway was omitted”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAlternative models with reversed positions of anxiety symptoms and fcMRI had decreased fit and poor model fit.
“For both of these alternative models, the fit statistics were decreased and the model fit was poor”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataUse of over-the-counter medications was not associated with observed childhood cortisol levels (r = −0.11, p = 0.40).
“The use of these medications was not associated with observed cortisol levels (r = −0.11, p = 0.40).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataWhen depressive symptoms and amygdala-vmPFC were transposed in an alternative model, fit statistics decreased and model fit was poor.
“when depressive symptoms and amygdala-vmPFC were transposed in an alternative model, the fit statistics were decreased and the model fit was poor”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe reversed structural equation model with depression and fcMRI transposed had unacceptable fit (Chi2 = 25.44, p < 0.05, RMSEA = 0.25, CFI = 0.66) and no mediational effect (Indirect Est = 0.02, p = 0.61).
“when depressive symptoms and amygdala-vmPFC were transposed in a subsequent model, the fit statistics were reduced to unacceptable levels (Chi2 = 25.44, p < 0.05, RMSEA = 0.25, CFI = 0.66) and there was no mediational effect (Indirect Est = 0.02, p = 0.61).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOmitting the gender pathway from the depression model improved fit (Chi2 = 7.56, p > 0.05, RMSEA = 0.07, CFI = 0.97) and accounted for 56.2% of the variance in depression.
“When that pathway was omitted, the final model demonstrated improved fit (Chi2 = 7.56, p > 0.05, RMSEA = 0.07, CFI = 0.97) and accounted for 56.2% of the variance in depression”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataSignificant associations between childhood cortisol and adolescent internalizing symptoms suggested that amygdala-vmPFC fcMRI might mediate, especially for females.
“Further, significant associations between childhood cortisol and adolescent internalizing symptoms suggested that amygdala-vmPFC fcMRI might play a mediating role, especially for females.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataFor females only, greater ELS forecast higher childhood afternoon basal cortisol, and that cortisol in turn forecast lower amygdala-vmPFC functional connectivity.
“For females only, higher levels of ELS predicted increased levels of childhood afternoon basal cortisol, which, in turn, predicted decreased amygdala-vmPFC functional connectivity.”
Quote in the paperSubstantial claim- Rests on an assumption: The temporal ordering of ELS, childhood cortisol, and adolescent fcMRI is sufficient to infer mediation.
May combine two claims.
Interpretationown dataResting function of this circuit forecasts both anxiety and depression symptoms, with stronger effects in females.
“The functional status of this circuitry at rest predicts both anxious and depressive symptoms and displays strong gender differences with the effects stronger in females.”
Quote in the paperSubstantial claimMay combine two claims. The quote only partly states this claim.
Interpretationown dataThe model suggests that early stress raises basal cortisol, which then alters emotion-regulation circuitry during adolescence.
“Our model indicates that early life stress increases basal cortisol, which in turn modulates emotion regulation circuitry in adolescence.”
Quote in the paperSubstantial claim- Rests on an assumption: The observed associations are not due to unmeasured confounding.
May combine two claims.
PremisecitationMDD resting-state data show vmPFC and limbic hyperactivity and greater connectivity between medial prefrontal regions and an affective network including amygdala.
“Resting-state data from samples with major depressive disorders demonstrate hyperactivity in the vmPFC and limbic structures (e.g., amygdala, bed nucleus of the stria terminalis [BNST])25, as well as increased connectivity between medial prefrontal regions (including the vmPFC) and other networks including an affective network to which the amygdala is interconnected26.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [25] Northoff, G., Wiebking, C., Feinberg, T. & Panksepp, J. The 'resting-state hypothesis' of major depressive disorder—a translational subcortical-cortical framework for a system disorder. Neurosci. Biobehav. Rev. 35, 1929–1945 (2011). source
Not checked in the free run.
- cites [26] Sheline, Y.I. et al. The default mode network and self-referential processes in depression. Proc. Natl. Acad. Sci. USA 106, 1942–1947 (2009). source
Not checked in the free run.
May combine two claims.
PremisecitationChildren with elevated maternal stress in infancy are more likely to show higher afternoon basal cortisol later in childhood, which is linked to more mental health symptoms two years later.
“our group finds that children exposed to elevated levels of maternal stress in infancy are more likely to display higher afternoon basal cortisol levels later in childhood, which, in turn, is associated with increased mental health symptoms two years later4.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Essex, M.J., Klein, M.H., Cho, E. & Kalin, N.H. Maternal stress beginning in infancy may sensitize children to later stress exposure: effects on cortisol and behavior. Biol. Psychiatry 52, 776–784 (2002). source
Not checked in the free run.
May combine two claims.
Interpretationown dataIn females, infancy ELS was linked to higher childhood cortisol, and higher childhood cortisol forecast more negative amygdala-vmPFC fcMRI at age 18.
“These findings establish a compelling developmental sequence whereby, in females, exposure to ELS during infancy was associated with higher levels of cortisol in childhood, and higher levels of cortisol at this early age predicted more negative amygdala-vmPFC fcMRI at age 18.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationHigher early-life cortisol is linked to poorer emotion regulation, lower social competence, and later anxiety and depression symptoms.
“Increased cortisol levels early in life are associated with poor emotion regulation, less social competence, and later symptoms of anxiety and depression2,3.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [2] Gunnar, M. & Quevedo, K. The neurobiology of stress and development. Annu. Rev. Psychol. 58, 145–173 (2007). source
Not checked in the free run.
- cites [3] Essex, M.J. et al. Influence of early life stress on later hypothalamic-pituitary-adrenal axis functioning and its covariation with mental health symptoms: a study of the allostatic process from childhood into adolescence. Dev. Psychopathol. 23, 1039–1058 (2011). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe childhood cortisol assay had a detection limit (ED80) of 0.03 μg/dL.
“The detection limit of the assay (ED80) was 0.03 μg/dL”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe childhood cortisol assay had mean inter-assay variation of 7.4% and intra-assay variation of 3.8%.
“with mean inter- and intra-assay variations of 7.4% and 3.8% respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIn females, early stress and cortisol may imprint the brain in ways detectable in adolescent resting connectivity of an emotion-regulation circuit, and variation in this circuit matters for adolescent anxiety and depression.
“our findings imply that, in females, ELS and early cortisol function may leave an imprint on the brain that can be detected in adolescent resting-state connectivity within a circuit important for emotion regulation, and variation in the function of this circuit plays an important role in adolescent anxiety and depressive symptoms.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationELS may prime these individual differences, and effect timing and size can differ by gender.
“These individual differences may be primed by exposure to early life stress (ELS), and the timing and magnitude of these effects can vary by gender4.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Essex, M.J., Klein, M.H., Cho, E. & Kalin, N.H. Maternal stress beginning in infancy may sensitize children to later stress exposure: effects on cortisol and behavior. Biol. Psychiatry 52, 776–784 (2002). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe adolescent cortisol assay had mean intra-assay variation of 3.5% and inter-assay variation of 5.1%.
“with calibrator range of 0.012 – 3.000 μg/dL and mean intra- and inter-assay coefficients of variation of 3.5% and 5.1% respectively.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTask fMRI work suggests vmPFC top-down regulation of amygdala, and amygdala-vmPFC coupling relates to trait anxiety in task and resting studies.
“task-based fMRI studies of emotion regulation suggest that the vmPFC is involved in top-down regulation of the amygdala, and functional coupling of the amygdala and vmPFC is related to trait anxiety in both task-related and resting-state studies13,14,15.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [13] Kim, M.J. et al. The structural and functional connectivity of the amygdala: from normal emotion to pathological anxiety. Behav. Brain Res. 223, 403–410 (2011). source
Not checked in the free run.
- cites [14] Kim, M.J., Gee, D.G., Loucks, R.A., Davis, F.C. & Whalen, P.J. Anxiety dissociates dorsal and ventral medial prefrontal cortex functional connectivity with the amygdala at rest. Cereb. Cortex 21, 1667–1673 (2011). source
Not checked in the free run.
- cites [15] Veer, I.M. et al. Endogenous cortisol is associated with functional connectivity between the amygdala and medial prefrontal cortex. Psychoneuroendocrinology 37, 1039–1047 (2012). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEvening cortisol is less likely to be affected by minor differences in collection time.
“consistent with previous work demonstrating that evening cortisol is less likely to be impacted by small differences in collection time19,38.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [19] Pruessner, J.C. et al. Stress regulation in the central nervous system: evidence from structural and functional neuroimaging studies in human populations-2008 Curt Richter Award Winner. Psychoneuroendocrinology 35, 179–191 (2010). source
Not checked in the free run.
- cites [38] Michels, N. et al. Negative life events, emotions and psychological difficulties as determinants of salivary cortisol in Belgian primary school children. Psychoneuroendocrinology 37, 1506–1515 (2012). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe MacArthur Health and Behavior Questionnaire is a well-validated measure of mental health, physical health, and social and academic functioning.
“the adolescent version of the MacArthur Health and Behavior Questionnaire33 (HBQ), a well-validated measure of mental health, physical health, and social and academic functioning.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Essex, M.J. et al. The confluence of mental, physical, social, and academic difficulties in middle childhood. II: Developing the MacArthur Health and Behavior questionnaire. Am. Acad. Child Adolesc. Psychiatry 41, 588–603 (2002). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationcitationThis result extends prior suggestions that females are more sensitive to ELS effects on neuroendocrine function and show stronger epigenetic responses to early social environment.
“extends previous work suggesting that females may be more sensitive to the effects of ELS on neuroendocrine function11 and work showing that females may also show more robust epigenetic changes in response to early social environmental factors37.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] Weinstock, M. Gender differences in the effects of prenatal stress on brain development and behaviour. Neurochem. Res. 32, 1730–1740 (2007). source
Not checked in the free run.
- cites [37] Murgatroyd, C. & Spengler, D. Epigenetic programming of the HPA axis: early life decides. Stress 14, 581–589 (2011). source
Not checked in the free run.
May combine two claims.
PremisecitationELS may sensitize HPA-axis feedback circuitry, producing atypical basal cortisol and structural/functional changes in amygdala and vmPFC.
“Other work suggests that aspects of ELS may sensitize the neural circuitry that regulates HPA-axis feedback resulting in atypical basal cortisol levels (e.g., heightened or blunted cortisol function2,3), as well as structural and functional changes in brain regions involved in affective reactivity and regulation, such as the amygdala5 and ventromedial prefrontal cortex (vmPFC)6,7.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [2] Gunnar, M. & Quevedo, K. The neurobiology of stress and development. Annu. Rev. Psychol. 58, 145–173 (2007). source
Not checked in the free run.
- cites [3] Essex, M.J. et al. Influence of early life stress on later hypothalamic-pituitary-adrenal axis functioning and its covariation with mental health symptoms: a study of the allostatic process from childhood into adolescence. Dev. Psychopathol. 23, 1039–1058 (2011). source
Not checked in the free run.
- cites [5] Lupien, S.J. et al. Larger amygdala but no change in hippocampal volume in 10-year-old children exposed to maternal depressive symptomatology since birth. Proc. Natl. Acad. Sci. USA 108, 14324–14329 (2011). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationHPA-axis dysregulation is linked to many adverse physical and psychological outcomes.
“Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis is related to many adverse physiologic and psychological outcomes1.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] McEwen, B.S. Stress, adaptation, and disease: allostasis and allostatic load. Ann. NY Acad. Sci. 840, 33–44 (1998). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe depression-related connectivity results differ from the anxiety results and align with prior reports of greater connectivity between medial prefrontal and emotion circuits.
“Our findings on relations between amygdala-vmPFC resting-state fcMRI and depression stand in marked contrast to those for anxiety and they are consistent with recent findings that show increased connectivity between medial prefrontal and emotion circuits26.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Sheline, Y.I. et al. The default mode network and self-referential processes in depression. Proc. Natl. Acad. Sci. USA 106, 1942–1947 (2009). source
Not checked in the free run.
May combine two claims.
Study design and conductown dataSubject motion, adolescent basal cortisol, and current life stress did not contribute significant variance to the relation between childhood cortisol and amygdala-vmPFC connectivity, nor did they appreciably change it.
“None contributed significant variance to the observed relations between childhood cortisol and amygdala-vmPFC connectivity, nor did they appreciably change these findings (individual β’s ranged from −0.014 to −0.066, NS).”
Quote in the paperSubstantial claim
The paper relies on this without support.
The observed associations are not due to unmeasured confounding.
“Our model indicates that early life stress increases basal cortisol, which in turn modulates emotion regulation circuitry in adolescence.”
The paper relies on this without support.
The temporal ordering of ELS, childhood cortisol, and adolescent fcMRI is sufficient to infer mediation.
“These results, and the temporal ordering of the variables, suggested that the associations of ELS and childhood cortisol with adolescent amygdala-vmPFC fcMRI might reflect a moderated mediational process.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Atypical presentations of these same stress-response systems have implications for understanding emotion dysregulation and a range of internalizing and externalizing symptoms.
“and recent data suggest that atypical presentations of these same systems have implications for understanding emotion dysregulation (Miller et al. 2017b, Tottenham et al. 2010) and a range of both internalizing and externalizing symptoms (Burghy et al. 2012, Chen et al. 2015, Nederhof et al. 2015, Slavich & Irwin 2014).”
From Adolescent Suicide as a Failure of Acute Stress-Response Systems. (2019) · cites this paper as Burghy et al. 2012
The Discussion links early-life stress and altered cortisol and emotion-regulation circuitry to adolescent anxiety and depressive symptoms. The Results say externalizing symptoms were used as a control variable, not examined as an outcome of those systems. Burghy et al. therefore support the internalizing portion of the attributed claim, but not the externalizing portion; page numbers were unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCurrent conceptualization of how childhood adversity affects neural development focuses almost exclusively on stress pathways and allostatic load.
“Current conceptualization of the impact of childhood adversity on neural development has focused almost exclusively on stress pathways and allostatic load (Burghy et al., 2012; Cohen et al., 2013).”
From Childhood adversity and neural development: Deprivation and threat as distinct dimensions of early experience (2014) · cites this paper as Burghy et al., 2012
The mPFC and amygdala have extensive bidirectional connections and often function together.
“Although mPFC and amygdala have extensive bidirectional connections and often function in tandem (110, 116, 117), these mPFC findings on greater left responding under conditions of deprived care are suggestive but have yet to be extended to amygdala structure or function.”
From Disorganized attachment in infancy predicts greater amygdala volume in adulthood (2016) · cites this paper as [117]
Recent work suggests that prefrontal-amygdalar functional connectivity can be influenced by early adversity.
“Likewise, recent work suggests that prefrontal-amygdalar functional connectivity can be influenced by early adversity43-44.”
From Evolutionarily conserved prefrontal-amygdalar dysfunction in early-life anxiety (2014) · cites this paper as [44]
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117 · see citing works
Self-citationAdvances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628 · see citing works
Practical issues in structural modeling
BENTLER, P. M., & CHOU, C.-P. (1987) · Sociological Methods & Research · doi:10.1177/0049124187016001004 · Cited by 5,804 · see citing works
Stress, adaptation, and disease. Allostasis and allostatic load
McEWEN, B. S. (1998) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1998.tb09546.x · Cited by 5,092 · see citing works
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058 · see citing works
The cognitive control of emotion
OCHSNER, K., & GROSS, J. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.010 · Cited by 4,495 · see citing works
Assessing the impact of life changes: Development of the Life Experiences Survey.
Sarason, I. G., Johnson, J. H., & Siegel, J. M. (1978) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.46.5.932 · Cited by 2,788 · see citing works
Structural equation modelling: Adjudging model fit
Barrett, P. T. (2006) · Personality and Individual Differences · doi:10.1016/j.paid.2006.09.018 · Cited by 2,640 · see citing works
The neurobiology of stress and development.
Gunnar, M., & Quevedo, K. (2007) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085605 · Cited by 2,011 · cited 2× · see citing works
“anxiety and depression 2,3 .”
Neurocircuitry of Mood Disorders
Price, J. L., & Drevets, W. C. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.104 · Cited by 1,606 · cited 1× · see citing works
“…HPA-axis feedback resulting in atypical basal cortisol levels (e.g., heightened or blunted cortisol function 2,3 ), as well as structural and functional changes in brain regions involved in affective reactivity and regulation, such as the amygdala 5 and ventromedial prefrontal cortex (vmPFC) 6,7 .”
The default mode network and self-referential processes in depression
Sheline, Y. I., Barch, D. M., Price, J. L., Rundle, M. M., Vaishnavi, S. N., Snyder, A. Z., Mintun, M. A., Wang, S., Coalson, R. S., & Raichle, M. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812686106 · Cited by 1,480 · see citing works
Amunts, K., Kedo, O., Kindler, M., Pieperhoff, P., Mohlberg, H., Shah, N. J., Habel, U., Schneider, F., & Zilles, K. (2005) · Anatomy and Embryology · doi:10.1007/s00429-005-0025-5 · Cited by 1,264 · see citing works
Urry, H. L., van Reekum, C. M., Johnstone, T., Kalin, N. H., Thurow, M. E., Schaefer, H. S., Jackson, C. A., Frye, C. J., Greischar, L. L., Alexander, A. L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3215-05.2006 · Cited by 1,056 · see citing works
Self-citationCoping with stress during childhood and adolescence.
Compas, B. E. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.101.3.393 · Cited by 1,006 · see citing works
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987 · see citing works
Damoiseaux, J. S., & Greicius, M. D. (2009) · Brain Structure and Function · doi:10.1007/s00429-009-0208-6 · Cited by 897 · see citing works
Social influences on neuroplasticity: stress and interventions to promote well-being
Davidson, R. J., & McEwen, B. S. (2012) · Nature Neuroscience · doi:10.1038/nn.3093 · Cited by 892 · see citing works
Self-citationKim, M. J., Loucks, R. A., Palmer, A. L., Brown, A. C., Solomon, K. M., Marchante, A. N., & Whalen, P. J. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.04.025 · Cited by 838 · see citing works
Essex, M. J., Klein, M. H., Cho, E., & Kalin, N. H. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01553-6 · Cited by 698 · see citing works
Self-citationDo early‐life events permanently alter behavioral and hormonal responses to stressors?
Anisman, H., Zaharia, M. D., Meaney, M. J., & Merali, Z. (1998) · International Journal of Developmental Neuroscience · doi:10.1016/s0736-5748(98)00025-2 · Cited by 654 · see citing works
The structural integrity of an amygdala-prefrontal pathway predicts trait anxiety
Kim, M. J., & Whalen, P. J. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.2335-09.2009 · Cited by 433 · see citing works
Sánchez, M. M., Young, L. J., Plotsky, P. M., & Insel, T. R. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-12-04657.2000 · Cited by 420 · see citing works
A new method for improving functional-to-structural MRI alignment using local Pearson correlation
Saad, Z. S., Glen, D. R., Chen, G., Beauchamp, M. S., Desai, R., & Cox, R. W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.037 · Cited by 405 · see citing works
Kim, M. J., Gee, D. G., Loucks, R. A., Davis, F. C., & Whalen, P. J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq237 · Cited by 388 · see citing works
Lupien, S. J., Parent, S., Evans, A. C., Tremblay, R. E., Zelazo, P. D., Corbo, V., Pruessner, J. C., & Séguin, J. R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105371108 · Cited by 379 · see citing works
Gender Differences in the Effects of Prenatal Stress on Brain Development and Behaviour
Weinstock, M. (2007) · Neurochemical Research · doi:10.1007/s11064-007-9339-4 · Cited by 349 · see citing works
Resting-state functional connectivity in treatment-resistant depression
Lui, S., Wu, Q., Qiu, L., Yang, X., Kuang, W., Chan, R. C. K., Huang, X., Kemp, G. J., Mechelli, A., & Gong, Q. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.10101419 · Cited by 336 · see citing works
Functional anatomy of ventromedial prefrontal cortex: implications for mood and anxiety disorders
Myers-Schulz, B., & Koenigs, M. (2012) · Molecular Psychiatry · doi:10.1038/mp.2011.88 · Cited by 333 · see citing works
Pruessner, J. C., Dedovic, K., Pruessner, M., Lord, C., Buss, C., Collins, L., Dagher, A., & Lupien, S. J. (2010) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.02.016 · Cited by 333 · see citing works
ESSEX, M. J., BOYCE, W. T., GOLDSTEIN, L. H., ARMSTRONG, J. M., KRAEMER, H. C., & KUPFER, D. J. (2002) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200205000-00017 · Cited by 253 · see citing works
Self-citationCommon and Distinct Amygdala-Function Perturbations in Depressed vs Anxious Adolescents
Beesdo, K., Lau, J. Y. F., Guyer, A. E., McClure-Tone, E. B., Monk, C. S., Nelson, E. E., Fromm, S. J., Goldwin, M. A., Wittchen, H.-U., Leibenluft, E., et al. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2008.545 · Cited by 250 · see citing works
Northoff, G., Wiebking, C., Feinberg, T., & Panksepp, J. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2010.12.007 · Cited by 222 · see citing works
Essex, M. J., Shirtcliff, E. A., Burk, L. R., Ruttle, P. L., Klein, M. H., Slattery, M. J., Kalin, N. H., & Armstrong, J. M. (2011) · Development and Psychopathology · doi:10.1017/s0954579411000484 · Cited by 212 · see citing works
Self-citationStress-induced sex differences: Adaptations mediated by the glucocorticoid receptor
Bourke, C. H., Harrell, C. S., & Neigh, G. N. (2012) · Hormones and Behavior · doi:10.1016/j.yhbeh.2012.02.024 · Cited by 158 · see citing works
Veer, I. M., Oei, N. Y. L., Spinhoven, P., van Buchem, M. A., Elzinga, B. M., & Rombouts, S. A. R. B. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.12.001 · Cited by 140 · see citing works
Epigenetic programming of the HPA axis: Early life decides
Murgatroyd, C., & Spengler, D. (2011) · Stress · doi:10.3109/10253890.2011.602146 · Cited by 138 · see citing works
Schreiber, J. E., Shirtcliff, E., Hulle, C. V., Lemery-Chalfant, K., Klein, M. H., Kalin, N. H., Essex, M. J., & Goldsmith, H. H. (2006) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2006.07.005 · Cited by 112 · see citing works
Self-citationChristianson, J. P., Thompson, B. M., Watkins, L. R., & Maier, S. F. (2008) · Stress · doi:10.1080/10253890802510302 · Cited by 87 · see citing works
Thomason, M. E., Hamilton, J. P., & Gotlib, I. H. (2011) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2011.02422.x · Cited by 69 · see citing works
Michels, N., Sioen, I., Huybrechts, I., Bammann, K., Vanaelst, B., De Vriendt, T., Iacoviello, L., Konstabel, K., Ahrens, W., & De Henauw, S. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.02.004 · Cited by 48 · see citing works
Hakamata, Y., Iwase, M., Iwata, H., Kobayashi, T., Tamaki, T., Nishio, M., Matsuda, H., Ozaki, N., & Inada, T. (2009) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2008.10.002 · Cited by 28 · see citing works
Flagged first, then by citations
1 of the 46 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
McLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.012 · Cited by 1,389 · see citing works
Early developmental emergence of human amygdala–prefrontal connectivity after maternal deprivation
Gee, D. G., Gabard-Durnam, L. J., Flannery, J., Goff, B., Humphreys, K. L., Telzer, E. H., Hare, T. A., Bookheimer, S. Y., & Tottenham, N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1307893110 · Cited by 871 · see citing works
Dimensions of early experience and neural development: deprivation and threat
Sheridan, M. A., & McLaughlin, K. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.09.001 · Cited by 697 · see citing works
Aldao, A., Gee, D. G., De Los Reyes, A., & Seager, I. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000638 · Cited by 636 · see citing works
Effects of childhood poverty and chronic stress on emotion regulatory brain function in adulthood
Kim, P., Evans, G. W., Angstadt, M., Ho, S. S., Sripada, C. S., Swain, J. E., Liberzon, I., & Phan, K. L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308240110 · Cited by 610 · see citing works
Depression, Neuroimaging and Connectomics: A Selective Overview
Gong, Q., & Yong He, A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.08.009 · Cited by 496 · see citing works
Early life stress and development: potential mechanisms for adverse outcomes
Smith, K. E., & Pollak, S. D. (2020) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09337-y · Cited by 500 · see citing works
Toward understanding how early-life stress reprograms cognitive and emotional brain networks
Chen, Y., & Baram, T. Z. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2015.181 · Cited by 474 · see citing works
Barlow, D. H., Ellard, K. K., Sauer-Zavala, S., Bullis, J. R., & Carl, J. R. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614544528 · Cited by 491 · see citing works
Herringa, R. J., Birn, R. M., Ruttle, P. L., Burghy, C. A., Stodola, D. E., Davidson, R. J., & Essex, M. J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310766110 · Cited by 426 · see citing works
Self-citationFuture Directions in Emotion Dysregulation and Youth Psychopathology
Beauchaine, T. P. (2015) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2015.1038827 · Cited by 394 · see citing works
Unraveling the Miswired Connectome: A Developmental Perspective
Martino, A. D., Fair, D. A., Kelly, C. A. M., Satterthwaite, T. D., Castellanos, F. X., Thomason, M. E., Craddock, R. C., Luna, B., LEVENTHAL, B. L., Zuo, X., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.050 · Cited by 346 · see citing works
Smith, K. E., & Pollak, S. D. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620920725 · Cited by 351 · see citing works
Mechanisms contributing to prefrontal cortex maturation during adolescence
Caballero, A., Granberg, R., & Tseng, K. Y. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.013 · Cited by 357 · see citing works
The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis
Mak, L. E., Minuzzi, L., MacQUEEN, G. M., Hall, G. B., Kennedy, S. H., & Milev, R. V. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0438 · Cited by 325 · see citing works
Hanson, J. L., Hariri, A. R., & Williamson, D. E. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.05.010 · Cited by 338 · see citing works
Stress and the adolescent brain
Tottenham, N., & Galván, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.030 · Cited by 324 · see citing works
FAAH genetic variation enhances fronto-amygdala function in mouse and human
Dincheva, I., Drysdale, A. T., Hartley, C. A., Johnson, D. C., Jing, D., King, E. C., Ra, S., Gray, J. M., Yang, R., DeGruccio, A. M., et al. (2015) · Nature Communications · doi:10.1038/ncomms7395 · Cited by 289 · see citing works
Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants
Qiu, A., Anh, T. T., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B. F. P., Kwek, K., Saw, S.-M., Chong, Y.-S., Gluckman, P. D., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.3 · Cited by 282 · see citing works
What is a representative brain? Neuroscience meets population science
Falk, E. B., Hyde, L. W., Mitchell, C., Faul, J., Gonzalez, R., Heitzeg, M. M., Keating, D. P., Langa, K. M., Martz, M. E., Maslowsky, J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1310134110 · Cited by 265 · see citing works
Prenatal maternal depression associates with microstructure of right amygdala in neonates at birth.
Rifkin-Graboi, A., Bai, J., Chen, H., Hameed, W. B., Sim, L. W., Tint, M. T., Leutscher-Broekman, B., Chong, Y.-S., Gluckman, P. D., Fortier, M. V., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.06.019 · Cited by 258 · see citing works
Dispositional negativity: An integrative psychological and neurobiological perspective.
Shackman, A. J., Tromp, D., Stockbridge, M. D., Kaplan, C. M., Tillman, R. M., & Fox, A. S. (2016) · Psychological Bulletin · doi:10.1037/bul0000073 · Cited by 234 · see citing works
Adolescent Suicide as a Failure of Acute Stress-Response Systems.
Miller, A. B., & Prinstein, M. J. (2019) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050718-095625 · Cited by 235 · see citing works
“…that atypical presentations of these same systems have implications for understanding emotion dysregulation (Miller et al. 2017b, Tottenham et al. 2010) and a range of both internalizing and externalizing symptoms (Burghy et al. 2012, Chen et al. 2015, Nederhof et al. 2015, Slavich & Irwin 2014).”
BackgroundThe Role of the Endocannabinoid System and Genetic Variation in Adolescent Brain Development
Meyer, H. C., Lee, F. S., & Gee, D. G. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.143 · Cited by 222 · see citing works
Modeling Trait Anxiety: From Computational Processes to Personality
Raymond, J. G., Steele, J. D., & Seriès, P. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00001 · Cited by 203 · see citing works
Pagliaccio, D., Luby, J. L., Bogdan, R., Agrawal, A., Gaffrey, M. S., Belden, A. C., Botteron, K. N., Harms, M. P., & Barch, D. M. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.327 · Cited by 205 · see citing works
Wen, D. J., Poh, J. S., Ni, S. N., Chong, Y.-S., Chen, H., Kwek, K., Shek, L. P., Gluckman, P. D., Fortier, M. V., Meaney, M. J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.74 · Cited by 186 · see citing works
MacDonald, K., & Feifel, D. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00035 · Cited by 181 · see citing works
VanTieghem, M., & Tottenham, N. (2017) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_42 · Cited by 170 · see citing works
Rakesh, D., Seguin, C., Zalesky, A., Cropley, V., & Whittle, S. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.03.008 · Cited by 159 · see citing works
The amygdala: An agent of change in adolescent neural networks
Scherf, K. S., Smyth, J. M., & Delgado, M. R. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.05.011 · Cited by 159 · see citing works
Evolutionarily conserved prefrontal-amygdalar dysfunction in early-life anxiety
Birn, R. M., Shackman, A. J., Oler, J. A., Williams, L. E., McFarlin, D. R., Rogers, G. M., Shelton, S. E., Alexander, A. L., Pine, D. S., Slattery, M. J., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.46 · Cited by 159 · see citing works
Self-citationRapid infant prefrontal cortex development and sensitivity to early environmental experience
Hodel, A. S. (2018) · Developmental Review · doi:10.1016/j.dr.2018.02.003 · Cited by 160 · see citing works
Heim, C. M., Entringer, S., & Buss, C. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.12.011 · Cited by 158 · see citing works
Hankin, B. L., Snyder, H. R., Gulley, L. D., Schweizer, T. H., Bijttebier, P., Nelis, S., Toh, G. Y., & Vasey, M. W. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000663 · Cited by 151 · see citing works
Chocyk, A., Bobula, B., Dudys, D., Przyborowska, A., Majcher-Maślanka, I., Hess, G., & Wędzony, K. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12208 · Cited by 153 · see citing works
Akdeniz, C., Tost, H., Streit, F., Haddad, L., Wüst, S., Schäfer, A., Schneider, M., Rietschel, M., Kirsch, P., & Meyer-Lindenberg, A. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.35 · Cited by 151 · see citing works
Gee, D. G. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.21090944 · Cited by 148 · see citing works
Pagliaccio, D., Luby, J. L., Bogdan, R., Arpana Agrawal, A., Gaffrey, M. S., Belden, A. C., Botteron, K. N., Harms, M. P., & Barch, D. M. (2015) · Journal of Abnormal Psychology · doi:10.1037/abn0000094 · Cited by 145 · see citing works
Hilbert, K., Lueken, U., & Beesdo‐Baum, K. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.01.022 · Cited by 144 · see citing works
Barch, D. M., Pagliaccio, D., Belden, A. C., Harms, M. P., Gaffrey, M. S., Sylvester, C. M., Tillman, R., & Luby, J. L. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15081014 · Cited by 139 · see citing works
Oxytocin׳s role in anxiety: A critical appraisal
MacDonald, K., & Feifel, D. (2014) · Brain Research · doi:10.1016/j.brainres.2014.01.025 · Cited by 139 · see citing works
Disorganized attachment in infancy predicts greater amygdala volume in adulthood
Lyons-Ruth, K., Pechtel, P., Yoon, S. A., Anderson, C. M., & Teicher, M. H. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.03.050 · Cited by 142 · see citing works
Fan, Y., Herrera-Meléndez, A. L., Pestke, K., Feeser, M., Aust, S., Otte, C., Pruessner, J. C., Böker, H., Bajbouj, M., & Grimm, S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22553 · Cited by 134 · see citing works
Cohodes, E. M., Kitt, E. R., Baskin-sommers, A. R., & Gee, D. G. (2020) · Developmental Psychobiology · doi:10.1002/dev.21969 · Cited by 125 · see citing works
Moutsiana, C., Fearon, P. R. M., Murray, L., Cooper, P., Goodyer, I. M., Johnstone, T., & Halligan, S. L. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12198 · Cited by 142 · see citing works
Strengthening Connections: Functional Connectivity and Brain Plasticity
Kelly, C. A. M., & Castellanos, F. X. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9252-y · Cited by 131 · see citing works
Ganguly, P., & Brenhouse, H. C. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.07.001 · Cited by 136 · see citing works
Dean, D. C., Planalp, E. M., Wooten, W., Kecskemeti, S. R., Adluru, N., Schmidt, C. K., Frye, C., Birn, R. M., Burghy, C. A., Schmidt, N. L., et al. (2018) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2018.2132 · Cited by 138 · see citing works
Self-citationSheth, C. S., McGlade, E., & Yurgelun-Todd, D. A. (2017) · Chronic Stress · doi:10.1177/2470547017715645 · Cited by 136 · see citing works
Birn, R. M., Patriat, R., Phillips, M. L., Germain, A., & Herringa, R. J. (2014) · Depression and Anxiety · doi:10.1002/da.22291 · Cited by 134 · see citing works
Self-citationThe Importance of Early Experiences for Neuro-Affective Development
Tottenham, N. (2013) · Current topics in behavioral neurosciences · doi:10.1007/7854_2013_254 · Cited by 133 · see citing works
Implications of newborn amygdala connectivity for fear and cognitive development at 6-months-of-age
Graham, A. M., Buss, C., Rasmussen, J. M., Rudolph, M. D., Demeter, D. V., Gilmore, J. H., Styner, M., Entringer, S., Wadhwa, P. D., & Fair, D. A. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.09.006 · Cited by 122 · see citing works
Altered amygdala connectivity in urban youth exposed to trauma
Thomason, M. E., Marusak, H. A., Tocco, M. A., Vila, A. M., McGarragle, O., & Rosenberg, D. R. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv030 · Cited by 127 · see citing works
“Frontoamygdala FC alterations have also been shown to relate to trauma, diurnal cortisol and internalizing symptoms in a longitudinal community sample of young adults (18 year olds; Burghy et al., 2012; Herringa et al., 2013).”
BackgroundThe Importance of Early Experiences for Neuro-Affective Development
Tottenham, N. (2013) · Current topics in behavioral neurosciences · doi:10.1007/978-3-662-45758-0_254 · Cited by 128 · see citing works
Oriol, X., Miranda, R., Oyanedel, J. C., & Torres‐Vallejos, J. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01716 · Cited by 133 · see citing works
The potential of infant fMRI research and the study of early life stress as a promising exemplar
Graham, A. M., Pfeifer, J. H., Fisher, P. A., Lin, W., Gao, W., & Fair, D. A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.09.005 · Cited by 114 · see citing works
Sex, Receptors, and Attachment: A Review of Individual Factors Influencing Response to Oxytocin
MacDonald, K. S. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00194 · Cited by 119 · see citing works
Early Adversity and the Neotenous Human Brain
Tottenham, N. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.06.018 · Cited by 120 · see citing works
New insights into early-life stress and behavioral outcomes
Bolton, J. L., Molet, J., Ivy, A. S., & Baram, T. Z. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.12.012 · Cited by 110 · see citing works
Kaiser, R. H., Clegg, R. A., Goer, F., Pechtel, P., Beltzer, M., Vitaliano, G. D., Olson, D. P., Teicher, M. H., & Pizzagalli, D. A. (2017) · Psychological Medicine · doi:10.1017/s0033291717002628 · Cited by 113 · see citing works
Qiu, A., Shen, M., Buß, C., Chong, Y. S., Kwek, K. Y. C., Saw, S., Gluckman, P. D., Wadhwa, P. D., Entringer, S., Styner, M. A., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx065 · Cited by 116 · see citing works
The Neural Correlates of Emotion Regulation by Implementation Intentions
Hallam, G. P., Webb, T. L., Sheeran, P., Miles, E., Wilkinson, I. D., Hunter, M. D., Barker, A. T., Woodruff, P. W. R., Totterdell, P., Lindquist, K. A., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0119500 · Cited by 117 · see citing works
“Other research has also suggested that connectivity between OFC and amygdala is associated with individual differences in ER [77] and that changes in this OFC-amygdala coupling may be a marker for risk of psychiatric diseases such as bipolar disorder [78], anxiety and depression [79].”
BackgroundEarly-life and pubertal stress differentially modulate grey matter development in human adolescents
Tyborowska, A., Volman, I., Niermann, H. C. M., Pouwels, J. L., Smeekens, S., Cillessen, A. H. N., Toni, I., & Karin Roelofs, A. (2018) · Scientific Reports · doi:10.1038/s41598-018-27439-5 · Cited by 112 · see citing works
Early Social Adversity, Altered Brain Functional Connectivity, and Mental Health
Holz, N. E., Berhe, O., Sacu, S., Schwarz, E., Tesarz, J., Heim, C. C., & Tost, H. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.10.019 · Cited by 114 · see citing works
Saxbe, D., Khoddam, H., Piero, L. B. D., Stoycos, S. A., Gimbel, S. I., Margolin, G., & Kaplan, J. (2018) · Developmental Science · doi:10.1111/desc.12686 · Cited by 111 · see citing works
Dir, A. L., Bell, R. L., Adams, Z. W., & Hulvershorn, L. A. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00289 · Cited by 114 · see citing works
Hammerslag, L. R., & Gulley, J. M. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.04.008 · Cited by 110 · see citing works
Owens, M., Herbert, J., Jones, P. B., Sahakian, B. J., Wilkinson, P. O., Dunn, V. J., Croudace, T. J., & Goodyer, I. M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1318786111 · Cited by 113 · see citing works
Social scaffolding of human amygdala-mPFCcircuit development
Tottenham, N. (2015) · Social Neuroscience · doi:10.1080/17470919.2015.1087424 · Cited by 112 · see citing works
Enhanced excitability in the infralimbic cortex produces anxiety-like behaviors
Bi, L., Wang, J., Luo, Z.-Y., Chen, S., Geng, F., Chen, Y., Li, S.-J., Yuan, C., Lin, S., & Gao, T. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.04.048 · Cited by 108 · see citing works
de Almeida, R. M. M., Cabral, J. C. C., & Narvaes, R. F. (2015) · Physiology & Behavior · doi:10.1016/j.physbeh.2015.02.053 · Cited by 108 · see citing works
Herringa, R. J., Burghy, C. A., Stodola, D. E., Fox, M. E., Davidson, R. J., & Essex, M. J. (2016) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.03.003 · Cited by 101 · see citing works
Self-citationEarly life stress modulates oxytocin effects on limbic system during acute psychosocial stress.
Grimm, S., Pestke, K., Feeser, M., Aust, S., Weigand, A., Wang, J., Wingenfeld, K., Pruessner, J., Marca, R. L., Böker, H., et al. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu020 · Cited by 100 · see citing works
Hur, J., Stockbridge, M. D., Fox, A. S., & Shackman, A. J. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.03.012 · Cited by 91 · see citing works
Toward understanding the impact of trauma on the early developing human brain
Thomason, M. E., & Marusak, H. A. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2016.02.022 · Cited by 101 · see citing works
Honeycutt, J. A., Demaestri, C., Peterzell, S., Silveri, M. M., Cai, X., Kulkarni, P. P., Cunningham, M. G., Ferris, C. F., & Brenhouse, H. C. (2020) · eLife · doi:10.7554/elife.52651 · Cited by 93 · see citing works
Guadagno, A., Belliveau, C., Mechawar, N., & Walker, C. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.669120 · Cited by 92 · see citing works
Psychosocial and biological risk factors of anxiety disorders in adolescents: a TRAILS report
Narmandakh, A., Roest, A. M., de Jonge, P., & Oldehinkel, A. J. (2020) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-020-01669-3 · Cited by 96 · see citing works
Hostinar, C. E., Nusslock, R., & Miller, G. E. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2016.1266647 · Cited by 90 · see citing works
Layne, C. M., Briggs, E. C., & Courtois, C. A. (2014) · Psychological Trauma Theory Research Practice and Policy · doi:10.1037/a0037768 · Cited by 89 · see citing works
Bauer, C. C. C., Caballero, C., Scherer, E., West, M. R., Mrazek, M. D., Phillips, D. T., Whitfield-Gabrieli, S., & Gabrieli, J. D. E. (2019) · Behavioral Neuroscience · doi:10.1037/bne0000337 · Cited by 85 · see citing works
Kopala‐Sibley, D. C., Cyr, M., Finsaas, M. C., O’Rawe, J. F., Huang, A., Tottenham, N., & Klein, D. N. (2018) · Child Development · doi:10.1111/cdev.13126 · Cited by 86 · see citing works
Cognitive Vulnerability to Major Depression
Wang, X., Öngür, D., Auerbach, R. P., & Yao, S. (2016) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000081 · Cited by 88 · see citing works
Perinatal maternal depressive symptoms alter amygdala functional connectivity in girls
Soe, N. N., Wen, D. J., Poh, J. S., Chong, Y., Broekman, B. F., Chen, H., Shek, L. P., Tan, K. H., Gluckman, P. D., Fortier, M. V., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.23873 · Cited by 86 · see citing works
Park, A. T., Leonard, J., Saxler, P. K., Cyr, A. B., Gabrieli, J. D. E., & Mackey, A. P. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy017 · Cited by 81 · see citing works
Fonzo, G. A., Ramsawh, H. J., Flagan, T., Simmons, A. N., Sullivan, S. G., Allard, C. B., Paulus, M. P., & Stein, M. B. (2015) · Psychological Medicine · doi:10.1017/s0033291715002603 · Cited by 85 · see citing works
Wang, Y., Ma, Y.-C., Hu, J., Cheng, W.-W., Jiang, H., Zhang, X., Li, M. D., Ren, J., & Li, X.-B. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.06.008 · Cited by 83 · see citing works
Early secure attachment as a protective factor against later cognitive decline and dementia
Walsh, E., Blake, Y., Donati, A., Stoop, R., & von Gunten, A. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00161 · Cited by 84 · see citing works
Shackman, A. J., Stockbridge, M. D., Tillman, R. M., Kaplan, C. M., Tromp, D., Fox, A. S., & Gamer, M. (2016) · Journal of Experimental Psychopathology · doi:10.5127/jep.054015 · Cited by 78 · see citing works
Weissman, D. G., Schriber, R. A., Fassbender, C., Atherton, O. E., Krafft, C. E., Robins, R. W., Hastings, P. D., & Guyer, A. E. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.07.002 · Cited by 82 · see citing works
VanTieghem, M., Korom, M., Flannery, J., Choy, T., Caldera, C., Humphreys, K. L., Gabard-Durnam, L. J., Goff, B., Gee, D. G., Telzer, E. H., et al. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100916 · Cited by 82 · see citing works
Altered Resting-State Amygdala Functional Connectivity after 36 Hours of Total Sleep Deprivation
Shao, Y., Lei, Y., Wang, L., Zhai, T., Jin, X., Ni, W., Yang, Y., Shuwen, T., Wen, B., Ye, E., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112222 · Cited by 78 · see citing works
Association of Prenatal Maternal Anxiety With Fetal Regional Brain Connectivity
De Asis-Cruz, J., Krishnamurthy, D., Zhao, L., Kapse, K., Vezina, G., Andescavage, N., Quistorff, J., Lopez, C., & Limperopoulos, C. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.22349 · Cited by 81 · see citing works
Kim, P., Evans, G. W., Chen, E., Miller, G. E., & Seeman, T. E. (2017) · Springer eBooks · doi:10.1007/978-3-319-47143-3_19 · Cited by 83 · see citing works
Rakesh, D., Kelly, C. A. M., Vijayakumar, N., Zalesky, A., Allen, N. B., & Whittle, S. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.09.016 · Cited by 75 · see citing works
Mediating Effect of Resilience on the Association between Emotional Neglect and Depressive Symptoms
Lee, S. W., Bae, G. Y., Rim, H.-D., Lee, S. J., Chang, S. M., Kim, B., & Won, S. (2018) · Psychiatry Investigation · doi:10.4306/pi.2018.15.1.62 · Cited by 82 · see citing works
Depression and stressful environments: identifying gaps in conceptualization and measurement
Hammen, C. L. (2016) · Anxiety Stress & Coping · doi:10.1080/10615806.2015.1134788 · Cited by 77 · see citing works
Newborn amygdala connectivity and early emerging fear
Thomas, E., Buß, C., Rasmussen, J. M., Entringer, S., Ramirez, J. S. B., Marr, M. C., Rudolph, M. D., Gilmore, J. H., Styner, M. A., Wadhwa, P. D., et al. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.002 · Cited by 77 · see citing works
Fan, Y., Pestke, K., Feeser, M., Aust, S., Pruessner, J. C., Böker, H., Bajbouj, M., & Grimm, S. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.123 · Cited by 75 · see citing works
- Authors
- Burghy, C. A., Stodola, D. E., Ruttle, P. L., Molloy, E. K., Armstrong, J. M., Oler, J. A., Fox, M. E., Hayes, A. S., Kalin, N. H., Essex, M. J., Davidson, R. J., & Birn, R. M.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Burghy, Cory A
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2012-11-11
- Volume
- 15
- Issue
- 12
- Pages
- 1736-1741
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC3509229
- OpenAlex
- W2165478810
- Cited by
- 397
- References
- 46
- Citations by year
- 2026: 11 · 2025: 16 · 2024: 17 · 2023: 14 · 2022: 21 · 2021: 34 · 2020: 34 · 2019: 33 · 2018: 31 · 2017: 34 · 2016: 40 · 2015: 43 · 2014: 39 · 2013: 28 · 2012: 2
- FWCI
- 18.36
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Canadian Institutes of Health Research
- National Heart, Lung, and Blood Institute (T15HL097789)
- National Institute of Mental Health (P50MH052354, R01MH044340, P50MH084051, R01MH043454)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P30HD003352)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Keywords
- early life stress, resting-state functional connectivity, hypothalamic-pituitary-adrenal axis, adolescent anxiety, adolescent depression, internalizing problems, sex differences, emotion regulation, developmental pathways
- MeSH terms
- Adolescent, Adolescent Behavior, Amygdala, Anxiety, Depression, Female, Humans, Hydrocortisone, Male, Neural Pathways, Prospective Studies, Stress, Psychological, Prefrontal Cortex
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-04.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-04.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review