Developmental sex differences in resting state functional connectivity of amygdala sub-regions
Open accessAbstract
During adolescence, considerable social and biological changes occur that interact with functional brain maturation, some of which are sex-specific. The amygdala is one brain area that has displayed sexual dimorphism, specifically in socio-affective (superficial amygdala [SFA]), stress (centromedial amygdala [CMA]), and learning and memory (basolateral amygdala [BLA]) processing. The amygdala has also been implicated in mood and anxiety disorders which display sex-specific features, most prominently observed during adolescence. Using functional magnetic resonance imaging (fMRI), the present study examined the interaction of age and sex on resting state functional connectivity (RSFC) of amygdala sub-regions, BLA and SFA, in a sample of healthy adolescents between the ages 10 and 16 years (n = 122, 71 boys). Whole-brain, voxel-wise partial correlation analyses were conducted to determine RSFC of bilateral BLA and SFA seed regions, created using the Eickhoff-Zilles maximum probability maps based on cytoarchitectonic mapping and FMRIB's Integrated Registration and Segmentation Tool (FIRST). Monte Carlo simulation was implemented to correct for multiple comparisons (threshold of 53 contiguous voxels with a z-value ≥ 2.25). Results indicated that with increasing age, there was a corresponding decrease in RSFC between both amygdala sub-regions and parieto-occipital cortices, with a concurrent increase in RSFC with medial prefrontal cortex (mPFC). Specifically, boys and girls demonstrated increased coupling of mPFC and left and right SFA with age, respectively; however, neither sex showed increased connectivity between mPFC and BLA, which could indicate relative immaturity of fronto-limbic networks that is similar across sex. A dissociation in connectivity between BLA- and SFA-parieto-occipital RSFC emerged, in which girls had weaker negative RSFC between SFA and parieto-occipital regions and boys had weaker negative RSFC of BLA and parieto-occipital regions with increased age, both standing in contrast to adult patterns of amygdala sub-regional RSFC. The present findings suggest relative immaturity of amygdala sub-regional RSFC with parieto-occipital cortices during adolescence, with unique patterns in both sexes that may support memory and socio-affective processing in boys and girls, respectively. Understanding the underlying normative functional architecture of brain networks associated with the amygdala during adolescence may better inform future research of the neural features associated with increased risk for internalizing psychopathology.
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Written from the paper’s full text.
TL;DR
This fMRI study tested whether age and sex interact in resting-state functional connectivity of basolateral and superficial amygdala subregions in 122 healthy adolescents aged 10–16. It reports sex-specific developmental shifts in amygdala coupling with parieto-occipital and medial prefrontal regions, suggesting different maturational timing for BLA- and SFA-based networks.
Key findings
- Across age, both BLA and SFA showed weaker connectivity with parieto-occipital cortices and stronger connectivity with mPFC, but the direction of change differed by sex.
- Girls showed a shift from positive to negative BLA–parieto-occipital connectivity with age, whereas boys showed the reverse, with both shifting around age 14; for SFA–parieto-occipital connectivity, boys became more negative and girls more positive with age.
- mPFC coupling was lateralized by sex: boys showed increased left SFA–left vmPFC connectivity with age, while girls showed increased right SFA–dmPFC connectivity; neither sex showed increased mPFC–BLA coupling.
- Adding puberty as a covariate did not significantly change the connectivity results (all r² ≥ 0.52, p ≤ 0.001).
Methods
- Cross-sectional sample of 122 adolescents (71 boys), ages 10–16, without current DSM-IV psychiatric disorders, significant substance use, neurological illness, or other exclusionary conditions; scanned at 3T with two resting-state fMRI runs.
- Amygdala subregion ROIs were defined by intersecting Eickhoff-Zilles maximum probability maps with FIRST-based segmentation; BLA and SFA were analyzed, while CMA was excluded because many participants had zero or very few CMA voxels (BLA mean voxel count 905.1 ± 232.4; SFA 180.8 ± 85.6; CMA 0.9 ± 2.2).
- Whole-brain voxel-wise partial correlations modeled age, sex, sex-by-age, and residual framewise displacement; Monte Carlo correction used 53 contiguous voxels at z ≥ 2.25. Post-hoc models added puberty as a covariate.
Limitations
- The paper states that the cross-sectional design cannot capture developmental change or causal effects, that CMA could not be reliably analyzed, that the puberty measure had only modest agreement with clinician or Tanner assessments, and that a supplementary motion-censoring analysis was consistent but some effects became trend-like.
- The paper also notes the lack of adult comparison data, which limits conclusions about whether the observed adolescent patterns represent immature or transitional connectivity.
- Evident from the text: the sample is healthy and restricted to ages 10–16, and the authors describe behavioral and clinical interpretations as speculative because no direct behavioral or psychopathology outcomes were tested.
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Claims the paper makes
0 of 92 cited sources checked · 0 supported · 0 flagged
- Findingown data
After data scrubbing, age remained negatively correlated with framewise displacement remaining mean.
“but age was still negatively correlated with FD (r2 = −0.31, p = 0.001);”
Quote in the paperSubstantial claim - Findingown data
Connectivity between the left superficial amygdala and ventromedial prefrontal cortex followed the same patterns seen in basolateral amygdala connectivity with cortical regions.
“Connectivity between left SFA and vmPFC followed the patterns observed in RSFC of BLA with cortical brain regions.”
Quote in the paperNot a substantial claim - Findingown data
Before data scrubbing, framewise displacement values did not differ statistically between boys and girls.
“Prior to data scrubbing, FD values were statistically similar in boys and girls (t120 = −1.91, p = 0.06)”
Quote in the paperNot a substantial claim - Findingown data
Boys showed increased coupling between similar regions with age, shifting from negative to positive connectivity around age 14.
“On the other hand, boys showed increased coupling between similar regions with age, with a shift from negative to positive connectivity, also around the age of 14 years.”
Quote in the paperSubstantial claim - Findingown data
After data scrubbing, there were no sex differences in framewise displacement remaining mean.
“Following data scrubbing, there were no sex differences in FD (i.e. FD remaining mean) (t120 = 0.27, p = 0.79),”
Quote in the paperSubstantial claim
- Findingown data
In the right basolateral amygdala, a sex-by-age interaction was found in the left superior frontal gyrus, inferior parietal lobule, precuneus, middle occipital gyrus, and postcentral gyrus, showing the same dissociation as the left basolateral amygdala patterns.
“In right BLA, an interaction was observed in left superior frontal gyrus (SFG), IPL, precuneus (PC), middle occipital gyrus (MOG) and postcentral gyrus with the same dissociation as left BLA RSFC patterns across the sexes.”
Quote in the paperSubstantial claim - Findingown data
Adding puberty as a covariate in the partial correlation analyses did not significantly alter the resting-state functional connectivity results.
“Introducing puberty into partial correlation analyses did not significantly change the aforementioned RSFC results (all r2 ≥ 0.52, p ≤ 0.001).”
Quote in the paperNot a substantial claim - Findingown data
The age distribution was statistically similar between sexes.
“Age distribution by sex was also statistically similar (see Supplementary Figure 6).”
Quote in the paperNot a substantial claim - Findingown data
Before data scrubbing, framewise displacement was negatively correlated with age.
“and FD was negatively correlated with age (r2 = −0.22, p = 0.02).”
Quote in the paperNot a substantial claim - Findingown data
Several interactions between sex and age were found in connectivity between the amygdala and cortical regions.
“Several sex-by-age interactions in amygdala-cortical connectivity were identified.”
Quote in the paperSubstantial claim - Findingown data
Contrary to the hypothesis, connectivity between amygdala sub-regions and the medial prefrontal cortex was not more mature in girls.
“Additionally, in contrast to our hypothesis, functional connectivity between amygdala sub-regions and mPFC was not more mature in girls.”
Quote in the paperSubstantial claim - Findingown data
In an early- to mid-adolescent sample, analysis of positive and negative resting-state functional connectivity showed significant age-by-sex interactions between amygdala sub-regions and other cortical regions.
“Analysis of positive and negative resting state functional connectivity (RSFC) in an early- to mid-adolescent sample demonstrated significant age-by-sex interactions in RSFC between amygdala sub-regions and other cortical brain regions.”
Quote in the paperSubstantial claim - Findingnone given
Sex differences in the study's puberty measure did not statistically affect the age-by-sex resting-state functional connectivity results.
“However, we can conclude that sex differences in our measure of puberty did not statistically impact age-by-sex RSFC results.”
Quote in the paperNot a substantial claim - Findingown data
Girls showed coupling between the right superficial amygdala and dorsomedial prefrontal cortex.
“while girls showed coupling between right SFA and dmPFC.”
Quote in the paperSubstantial claim - Findingown data
Females showed greater functional connectivity between the superficial amygdala and parieto-occipital cortical regions than males.
“Furthermore, SFA is more functionally connected with parieto-occipital cortical regions in females as compared to males.”
Quote in the paperSubstantial claim - Findingown data
The hypothesis that girls would show increased coupling between fronto-limbic regions was not supported.
“Our hypothesis predicting increased coupling between fronto-limbic regions in girls was not supported.”
Quote in the paperSubstantial claim - Findingown data
Boys showed functional coupling between the left superficial amygdala and ventromedial prefrontal cortex.
“Specifically, boys showed functional coupling between left SFA and vmPFC,”
Quote in the paperSubstantial claim - Findingown data
A laterality effect differentiated the sexes in frontal-limbic resting-state functional connectivity.
“However, there was a laterality effect that differentiated the sexes in frontal-limbic RSFC.”
Quote in the paperSubstantial claim - Findingown data
The study found sex-specific trajectories of resting-state functional connectivity in amygdala sub-regions in a large sample of early-to-mid adolescents.
“The current study demonstrated sex-specific trajectories of amygdala sub-region RSFC in a large sample of early- to mid-adolescents.”
Quote in the paperSubstantial claim - Findingcitation
Both sexes showed comparable patterns of functional coupling.
“Rather, both sexes showed comparable patterns of functional coupling,”
Quote in the paperSubstantial claim - Premisecitation
Prefrontal cortical regions show a protracted developmental course that continues into the third decade of life.
“however, prefrontal cortical brain regions display a protracted rate of development that extends into the third decade of life (Giedd et al., 1996, Gogtay et al., 2004).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Limbic structures, including the amygdala, show emerging functional and structural maturity by early adolescence.
“Limbic structures, including the amygdala, demonstrate emerging functional and structural maturity by early adolescence (Giedd et al., 1996, Ostby et al., 2009, Wierenga et al., 2014);”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
The structural and functional connectivity between the amygdala and cortical areas undergoes substantial maturation during adolescence.
“Structural and functional connectivity between the amygdala and cortical brain regions undergoes dramatic maturation across adolescence (Qin et al., 2012, Gabard-Durnam et al., 2014).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
During adolescence, the amygdala shows sex differences in structural development: males have significant volume increases that females do not.
“Additionally, there are sex differences in the structural development of the amygdala during adolescence (Giedd et al., 1996) in which males demonstrate significant increases in volume that females do not (Giedd et al., 1996),”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Giedd et al., 1996 source
Not checked in the free run.
- Interpretationown data
Connectivity between the medial prefrontal cortex and amygdala appears similarly integrated in male and female adolescents, with a few notable differences.
“In contrast, functional connectivity of mPFC-amygdala RSFC appears to be similarly integrated in male and female adolescents, with a few notable distinctions.”
Quote in the paperSubstantial claim - Premisecitation
Negative functional connectivity, reflecting network segregation and specialization, has been found between amygdala sub-regions and more dorsal and posterior brain regions in adults and in a cross-sectional sample from childhood to early adulthood.
“Negative functional connectivity, or segregation and specialization of networks (Rubinov and Sporns, 2010), has been observed between amygdalar sub-regions and more dorsal and posterior brain regions in both adults (Roy et al., 2009) and in a cross-sectional sample spanning childhood and early adulthood (Gabard-Durnam et al., 2014).”
Quote in the paperSubstantial claim0 of 3 sources checked - Study design and conductcitation
At least 120 TRs, or about 5 minutes, of resting-state data provide sufficiently high sensitivity (77%) for detecting true functional connections.
“This threshold was employed to ensure that all participants had a minimum of 120 TRs, or approximately 5 minutes of resting state data for analyses, shown to yield sufficiently high sensitivity (77%) for detecting true functional connections (Smith et al., 2011).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Smith et al., 2011
Not checked in the free run.
- Interpretationcitation
The observed pattern of decreased parieto-occipital connectivity and increased medial prefrontal connectivity matches adult resting-state functional connectivity patterns of amygdala sub-regions.
“which corresponds with adult RSFC patterns of amygdala sub-regions (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014), albeit with varying effects by sex.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
These coupling patterns may indicate that fronto-limbic networks are relatively immature in both male and female adolescents compared with adults.
“which may indicate relative immaturity of both male and female adolescent fronto-limbic networks in comparison to adults.”
Quote in the paperSubstantial claim - Premisecitation
Resting-state functional connectivity data are sensitive to head motion.
“Strict motion correction procedures were applied to resting state functional maps, due to the sensitivity of RSFC data to head motion (Power et al., 2012, Satterthwaite et al., 2012, Van Dijk et al., 2012).”
Quote in the paperSubstantial claim0 of 3 sources checked - Study design and conductreasoning
Resting-state functional connectivity analyses did not use left or right centromedial amygdala seed regions, limiting direct comparison with existing amygdala sub-region studies.
“As such, RSFC analyses were not conducted with either left or right CMA seed regions, which limits direct comparisons with existing amygdala sub-region RSFC studies (Roy et al., 2009, Li et al., 2012, Qin et al., 2012, Gabard-Durnam et al., 2014).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationcitation
A more parsimonious interpretation is that during early-to-mid adolescence males use functional coupling between the basolateral amygdala and parieto-occipital regions for memory functions, supported by adult and adolescent research.
“An alternative, and more parsimonious interpretation, is that males rely on a functional coupling between BLA and parieto-occipital brain regions for memory functions during this early- to mid-adolescent period, which is supported by research in adults and adolescents (Darki and Klingberg, 2014, Hill et al., 2014).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Darki and Klingberg, 2014
Not checked in the free run.
- cites Hill et al., 2014 source
Not checked in the free run.
- Study design and conductreasoning
The study design limits causal conclusions about the effects of age and sex on brain functional connectivity.
“The current study design also limits conclusions about causal relationships of age and sex on functional connectivity of the brain.”
Quote in the paperSubstantial claim - Interpretationreasoning
Functional coupling between the superficial amygdala and parieto-occipital regions in healthy girls may partly account for the increased risk for depression in females.
“therefore, it is possible that functional coupling of SFA and parieto-occipital regions is present in healthy girls, but may partly account for the increased risk for depression in females.”
Quote in the paperSubstantial claim - Interpretationreasoning
Increased resting-state functional connectivity between the superficial amygdala and parieto-occipital cortex could indicate that adolescent girls have relatively compromised socio-emotional processing.
“therefore, increasing RSFC between this sub-region and the parieto-occipital cortex could indicate that adolescent girls have relatively compromised socio-emotional processing.”
Quote in the paperSubstantial claim - Interpretationreasoning
Increased coupling between the superficial amygdala and dorsomedial prefrontal cortex in girls may reflect a more mature connectivity pattern that facilitates top-down regulation by the dorsomedial prefrontal cortex.
“Increased coupling between SFA and dmPFC in girls may indicate a more mature pattern of connectivity facilitating top-down regulation by dmPFC.”
Quote in the paperSubstantial claim - Interpretationreasoning
Distinct resting-state functional connectivity of superficial amygdala sub-regions with ventromedial and dorsomedial prefrontal cortex in boys and girls may relate to different aspects of social cognition.
“therefore, distinct RSFC of SFA sub-regions with vmPFC and dmPFC in boys and girls may functionally relate to different aspect of social cognition.”
Quote in the paperSubstantial claim - Interpretationcitation
The comparable functional coupling patterns in both sexes are in accordance with a healthy developmental trajectory.
“which is in accordance with a healthy developmental trajectory (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Cortical regions functionally coupled with the bilateral basolateral amygdala include memory-related areas such as the inferior parietal lobule and precuneus.
“Cortical regions functionally coupled with bilateral BLA include areas that are important for memory, such as the IPL (Rama et al., 2004) and PC (Lundstrom et al., 2005).”
Quote in the paperSubstantial claim0 of 2 sources checked - Study design and conductreasoning
Because of strict delineation of amygdala sub-regions, the study could not confidently confirm that centromedial amygdala ROIs corresponded to the anatomical centromedial amygdala.
“we could not confidently ascertain that CMA ROIs indeed corresponded to anatomical CMA.”
Quote in the paperNot a substantial claim - Premisecitation
Studies of children and adolescents with major depressive disorder found increased connectivity between the amygdala and parietal and occipital cortices.
“Notably, studies that have examined amygdalar RSFC in children and adolescents with major depressive disorder have found increased connectivity of the amygdala with parietal and occipital cortices (Cullen et al., 2014, Jacobs et al., 2014, Pannekoek et al., 2014);”
Quote in the paperSubstantial claim0 of 3 sources checked
- May combine two claims. 46
- Classified as probably not a substantial claim. 31
May combine two claims.
Findingown dataIn the left superficial amygdala, a sex-by-age interaction was observed in the right lingual gyrus, left superior frontal gyrus, right cuneus, and right culmen; in all these regions except the left ventromedial prefrontal cortex, girls showed increased positive connectivity with age and boys showed increased negative connectivity with age.
“In left SFA an interaction was seen in right lingual gyrus (LG), left SFG, right cuneus and right culmen, and in all these regions, except left vmPFC, girls had increased positive connectivity with age, and boys had increased negative connectivity with age.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoys showed increased positive connectivity with age between the left superficial amygdala and left ventromedial prefrontal cortex, while girls showed increased positive connectivity between the right superficial amygdala and a more dorsal medial prefrontal region.
“Specifically, increased positive connectivity between left SFA and left vmPFC with age was observed in boys, while girls showed increased positive connectivity between right SFA and a more dorsal mPFC region.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the left basolateral amygdala, a sex-by-age interaction was observed in the left inferior parietal lobule and right angular gyrus, with boys showing increased positive connectivity with age and girls showing increased negative connectivity with age.
“In left BLA, an interaction of sex and age was seen in left inferior parietal lobule (IPL) and right angular gyrus (AG) that displayed the pattern described above: increased positive connectivity with age in boys and increased negative connectivity with age in girls.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataVoxel counts did not differ statistically between sexes for any amygdala sub-region.
“Further, voxel counts were not statistically different by sex for any sub-region (all t120 < 0.48, p > 0.05).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataBased on voxel counts, the basolateral amygdala was larger in the left hemisphere than in the right.
“BLA size, based on voxel count, was larger in left compared to right hemisphere (t120 = 33.41, p < 0.001),”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe analysis revealed a dissociation in basolateral amygdala resting-state functional connectivity: girls had positive connectivity at younger ages that decreased into negative connectivity over adolescence, while boys had negative connectivity at younger ages that increased into positive connectivity.
“This examination revealed a dissociation of RSFC of BLA, in which girls had positive RSFC at younger ages that decreased over adolescent development into negative RSFC, while boys had negative RSFC at younger ages that increased over development to positive RSFC.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the right superficial amygdala, connectivity with the left postcentral gyrus followed the same patterns as basolateral amygdala connectivity, while connectivity with the left dorsomedial prefrontal cortex showed the opposite pattern, with girls increasing in positive connectivity with age and boys increasing in negative connectivity with age.
“Finally, in right SFA, connectivity with left postcentral gyrus also followed the same patterns of RSFC observed with BLA, while connectivity with left dorsomedial PFC (dmPFC) showed the opposite pattern, with girls having increased positive connectivity with age and boys having increased negative connectivity with age (Figures 1-3 and Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith increasing age, boys showed coupling between the ventromedial prefrontal cortex and basolateral amygdala, while girls showed coupling between the dorsomedial prefrontal cortex and superficial amygdala.
“Rather, with age, boys showed coupling between vmPFC and BLA, while girls showed coupling between dmPFC and SFA,”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe findings are specific to the superficial amygdala and lateralized by sex, with connections to different medial prefrontal regions.
“Our findings are specific to SFA and lateralized by sex, with functional connections to different regions of the mPFC.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe right superficial amygdala had a larger voxel count than the left superficial amygdala.
“while right SFA voxel count was larger than left SFA (t120 = −10.71, p < 0.001).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBoys and girls did not differ statistically in age, IQ, or socioeconomic status.
“Boys and girls did not differ statistically by age, IQ or SES, but did differ in pubertal development, although on average, boys and girls reported the same pubertal stage (see Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAt younger ages, girls had more positive connectivity between the basolateral amygdala and posterior-occipital cortex, which decreased to negative connectivity by age 14, indicating increased decoupling with age.
“Specifically, at younger ages, girls had more positive RSFC between BLA and posterior-occipital cortex that diminished to negative connectivity by the age of 14 years, reflecting increased decoupling of these regions with age.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAlthough the groups were not matched on pubertal status, a post-hoc examination showed that this maturational difference did not statistically affect the results.
“Although the groups were not matched on pubertal status, the effect of puberty was examined post-hoc, and this maturational gap did not statistically affect the results of the present analyses.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoys and girls differed in pubertal development, but on average they reported the same pubertal stage.
“but did differ in pubertal development, although on average, boys and girls reported the same pubertal stage (see Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataBoth superficial and basolateral amygdala sub-regions showed decreased connectivity with parieto-occipital cortices and increased connectivity with the medial prefrontal cortex.
“Both SFA and BLA sub-regions showed decreased connectivity with parieto-occipital cortices and increased connectivity with mPFC,”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe basolateral amygdala regions had the largest average voxel counts (905.1 ± 232.4), followed by superficial amygdala (180.8 ± 85.6) and centromedial amygdala (0.9 ± 2.2), consistent with anatomical size.
“On average, BLA ROIs had larger voxel counts (905.1 ± 232.4), followed by SFA (180.8 ± 85.6) and CMA (0.9 ± 2.2), corresponding to anatomical size.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost centromedial amygdala voxel counts were very small, and many were zero.
“However, most CMA voxel counts were quite small and in many cases zero, so we chose not to include CMA ROIs in functional connectivity analyses.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith age, boys showed stronger negative connectivity, while girls showed more positive connectivity between the superficial amygdala and parieto-occipital cortex.
“The opposite pattern was observed with functional connectivity of SFA and parieto-occipital brain regions: with age, boys had more robust negative RSFC, while girls had more positive RSFC between SFA and parieto-occipital cortex.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith increasing age, boys showed more mature decoupling between the superficial amygdala and parieto-occipital cortex than girls, who showed immature functional coupling between these regions.
“With increasing age, boys also displayed more mature decoupling of SFA and parieto-occipital cortex, compared to girls who showed immature functional coupling between these regions.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe supplementary robustness analysis was consistent with the reported findings, although some findings remained trend-like and did not reach significance, potentially due to reduced power.
“The results of this analysis show consistency with the reported findings, albeit some findings, potentially due to reduced power, remained trend like and did not reach significance.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMost participants had zero voxels confidently corresponding to the centromedial amygdala (48% left, 100% right), and those with voxels had between one and ten.
“many participants had CMA ROIs with as little as one voxel and as many as ten corresponding to this region; the majority of participants had zero voxels that confidently corresponded to the CMA (48% in left CMA and 100% in right CMA).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGirls showed more mature decoupling between the basolateral amygdala and parieto-occipital cortical regions than boys, who showed immature functional coupling between these areas.
“Conversely, girls had more mature decoupling of BLA and parieto-occipital cortical regions, while boys showed immature functional coupling between these same areas.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe centromedial amygdala is essential for producing behavioral responses through projections to the brainstem, striatum, and cortical regions.
“The CMA is critical in the generation of behavioral responses through projections to the brainstem, striatum, and regions of the cortex (LeDoux, 2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites LeDoux, 2003 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDuring adolescence, medial prefrontal and rostral anterior cingulate cortex do not effectively down-regulate amygdalar function, which can lead to heightened emotional reactivity as described by the Dual Systems Model.
“As such, it is believed that amygdalar functioning is not down-regulated effectively by medial prefrontal cortex (mPFC) and rostral anterior cingulate cortex (rACC) during adolescence (i.e. Dual Systems Model), which can manifest as heightened emotional reactivity typical of this developmental period (Hare et al., 2008, Perlman and Pelphrey, 2011, McRae et al., 2012, Gee et al., 2013).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe superficial amygdala is involved in olfactory and affective processing.
“Finally, the SFA is relevant for olfactory (Price, 2003, Heimer and Van Hoesen, 2006) and affective processes (Bzdok et al., 2013a).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Price, 2003 source
Not checked in the free run.
- cites Heimer and Van Hoesen, 2006
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- cites Bzdok et al., 2013a
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May combine two claims.
PremisecitationThe amygdala is composed of basolateral, centromedial, and superficial nuclei, which have distinct functional connections to the cortex and support different brain functions.
“The amygdala can be subdivided into basolateral (BLA), centromedial (CMA) and superficial (SFA) nuclei, each with distinct functional connections to the cortex supporting different brain functions.”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe basolateral amygdala supports associative learning, such as fear conditioning, through inputs from the frontal cortex and other subcortical areas.
“The BLA facilitates associative learning processes, like fear conditioning, through afferent projections from the frontal cortex and other subcortical regions (LeDoux, 2003, Phelps and LeDoux, 2005).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Study design and conductown dataBecause a residual correlation remained between framewise displacement remaining mean and age, framewise displacement remaining mean was included as a covariate in the resting-state functional connectivity analyses.
“Due to a residual correlation between FD remaining mean and age, this variable was included as a covariate in the analyses (see 3. Results).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationOther studies have shown that prefrontal cortical development continues through adolescence, with girls showing greater maturity than boys.
“while different studies have also shown protracted prefrontal cortical development through adolescence, with girls showing relative maturity as compared to boys (Giedd et al., 1996, Lenroot et al., 2007).”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationThese findings align with the Dual Systems Model, which proposes that top-down regulation of the limbic system by the medial prefrontal cortex increases with age, though the regional specificity slightly differs.
“These findings are in line with the Dual Systems Model that posits increasing top-down regulation of the limbic system via mPFC with age (Galvan et al., 2006, Steinberg, 2010); however, the regional specificity of the present findings slightly deviate from this model.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn prefrontal cortices, girls reach peak gray matter volume approximately two years earlier than boys.
“as well as in prefrontal cortices, with girls peaking in gray matter volume approximately two years earlier than boys (Lenroot et al., 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lenroot et al., 2007 source
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAtypical functional connectivity between the amygdala and medial prefrontal cortex underlies impaired emotional and cognitive function in schizophrenia, bipolar disorder, and mood disorders.
“Furthermore, atypical functional connectivity of amygdala-mPFC neurocircuitry has been shown to underlie disrupted emotional and cognitive ability during psychopathologic states, such as schizophrenia, bipolar disorder, and mood disorders (Anand et al., 2005, Das et al., 2007, Henry et al., 2008, Wang et al., 2009, Berking and Wupperman, 2012, Cisler and Olatunji, 2012),”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Interpretationown dataGirls and boys showed opposing connectivity patterns that only partly resemble adult connectivity between parieto-occipital cortices and amygdala sub-regions, with superficial amygdala connectivity appearing more mature in girls and basolateral amygdala connectivity more mature in boys.
“Girls and boys exhibited opposing RSFC connectivity patterns that only partially reflect adult functional connectivity of parieto-occipital cortices with sub-regions of the amygdala, in which SFA RSFC is more mature in girls, while BLA RSFC is more mature in boys.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationPrior research has identified distinct resting-state functional connectivity patterns across amygdalar nuclei, with age-related positive connectivity to ventromedial prefrontal, temporal, and subcortical regions and negative connectivity to parietal and occipital cortices.
“Previous work has found distinct functional connectivity patterns, as measured with RSFC, across amygdalar nuclei (Roy et al., 2009, Li et al., 2012, Qin et al., 2012, Gabard-Durnam et al., 2014), specifically different patterns of age-dependent positive connectivity between amygdalar nuclei and ventromedial PFC (vmPFC), temporal, and subcortical regions, as well as negative connectivity with pari”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationDVAR values vary across datasets for various reasons, which effectively removes the need for a standard threshold.
“DVAR values, which are based in BOLD signal intensity, differ across datasets for a variety of reasons (e.g. blurring kernel size, frequency filter or data acquisition characteristics) (Power et al., 2014), effectively eliminating the need for a standard threshold.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Power et al., 2014 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationSelf-reported Pubertal Development Scale scores correlate moderately with other measures of pubertal status, such as Tanner's Sexual Maturation Scale.
“Self-report on the PDS has been shown to correlate moderately with other measurements of pubertal status, like Tanner's Sexual Maturation Scale (Bond et al., 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bond et al., 2006 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationEarlier studies have reported that connectivity between the medial prefrontal cortex and all amygdala sub-regions increases with age.
“Previous research has shown coupling of mPFC and all amygdala sub-regions with increasing age (Roy et al., 2009, Qin et al., 2012, Gabard-Durnam et al., 2014),”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataNo demographic variables had absolute skewness or kurtosis values above 2.0, so they were treated as normally distributed.
“No variables exceeded absolute skew/kurtosis values of 2.0, and thus were considered normally distributed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrior studies in adults have found sex differences in the shape and volume of amygdala sub-regions and in resting-state functional connectivity of non-limbic brain regions.
“Previous studies in adults have reported sex differences in amygdala sub-region shape and volume (Kim et al., 2011, Kim et al., 2012) and in RSFC of non-limbic brain regions using a variety of analytic methods (Kilpatrick et al., 2006, Biswal et al., 2010, Tian et al., 2011, Casanova et al., 2012, Satterthwaite et al., 2014).”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationOnly one previous study conducted a secondary analysis of sex differences in adolescents, and it did not find a significant effect of sex.
“However, only one study performed a secondary analysis to examine sex differences in adolescents, which did not yield a significant effect of sex (Gabard-Durnam et al., 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gabard-Durnam et al., 2014 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 conductcitationThe study tested the robustness of its findings by adjusting functional connectivity processing steps and using a different motion-censoring method in a supplementary analysis.
“we tested the robustness of our findings by adjusting the functional connectivity processing steps and employing a different method of motion censoring in a supplementary analysis (see Supplementary Methods), as suggested by prior reports (Hallquist et al., 2013, Power et al., 2014).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Interpretationown dataThe results indicate a sex-specific dissociation in resting-state functional connectivity between amygdala sub-regions and cortical regions, highlighting the importance of studying sex differences in adolescents and amygdala function by sub-region, potentially in socio-emotional processing and depression risk populations.
“Overall, these results indicate a sex-specific dissociation in amygdala sub-region RSFC with cortical brain regions, which underscores the importance of both the examination of sex differences in adolescent samples and of amygdalar function by sub-region, potentially in the contexts of socio-emotional processing and with populations at risk for, or suffering from, depression.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationFunctional decoupling of the superficial amygdala and parietal cortex is relevant for social communication and behavior, but behavioral outcomes may differ by sex.
“demonstrating that functional decoupling of SFA and parietal cortex is relevant for social communication and behavior, but that behavioral outcomes may differ depending on sex.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationResearch in rodents and humans has distinguished dorsal and ventral medial prefrontal cortex, with general agreement that dorsomedial prefrontal cortex supports cognitive processing while ventromedial prefrontal cortex supports emotional processing or internally directed activity.
“Many studies in rodents and humans have functionally differentiated the dorsal and ventral mPFC, and there is general concensus that dmPFC supports cognitive processing, while vmPFC supports more emotional processing (Euston et al., 2012, Bzdok et al., 2013b) or internally-directed activity (Raichle et al., 2001).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe current sample's age range of 10 to 16 years is more representative of adolescence, so the absence of connectivity between the medial prefrontal cortex and basolateral amygdala may suggest that fronto-limbic connectivity during adolescence is primarily supported by connectivity between the medial prefrontal cortex and superficial amygdala.
“The age range of the current sample (10-16 years) is more representative of the adolescent period, therefore he lack of RSFC between mPFC and BLA may also suggest that fronto-limbic connectivity is primarily supported by RSFC between mPFC and SFA during adolescence.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe ventromedial prefrontal cortex is part of the ventral affective system in the Dual Systems Model, which proposes an imbalance between affective and cognitive control regions that leads to ineffective top-down regulation of affect by cognitive control.
“The vmPFC is a component of the “ventral affective system” described in the Dual Systems Model, which posits an imbalance in access to affective versus cognitive control brain regions leading to ineffective top-down regulation of the affective system by the cognitive control system (Steinberg, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Steinberg, 2010 source
Not checked in the free run.
May combine two claims.
PremisecitationThe superficial amygdala is the most conserved amygdala sub-region and is thought to be important for social communication via olfactory and social cues.
“The SFA is the most conserved amygdala sub-region and it is thought to play an important role in social communication via olfactory (Bzdok et al., 2013a) and social cues (Goossens et al., 2009, Bzdok et al., 2013a);”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Bzdok et al., 2013a
Not checked in the free run.
- cites Goossens et al., 2009 source
Not checked in the free run.
May combine two claims.
PremisecitationA study found that allopregnanolone administration reduced connectivity between the amygdala and parietal cortex, and this reduction correlated with decreased negative affect.
“A different study showed that administration of allopregnanolone reduced connectivity between the amygdala and parietal cortex, which was also correlated with reductions in negative affect (Sripada et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sripada et al., 2014 source
Not checked in the free run.
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing). May combine two claims.
InterpretationcitationIf decoupling between the superficial amygdala and parieto-occipital cortices is the adult norm, then the sex-specific trajectories of amygdala sub-region connectivity seen in this adolescent sample may shift toward mature adult patterns.
“If decoupling of SFA and parieto-occipital cortices is indeed the norm in adulthood as some studies suggest (Roy et al., 2009, Gabard-Durnam et al., 2014), then the sexually dimorphic trajectories of amygdala sub-regional connectivity observed in the current sample may give way to mature patterns observed in adults;”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationPrevious research on resting-state functional connectivity of amygdala sub-regions found that positive connectivity between all sub-regions and the medial prefrontal cortex increases with age from 10 to 25 years.
“Previous research examining RSFC of amygdala sub-regions found increased positive connectivity with age (10 – 25 years) between all sub-regions and the mPFC (Gabard-Durnam et al., 2014),”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Gabard-Durnam et al., 2014 source
Not checked in the free run.
May combine two claims.
PremisecitationThe amygdala has positive connectivity with subcortical and limbic regions, and connectivity between these regions stabilizes early in childhood.
“These and other studies suggest that the amygdala is positively connected with subcortical and limbic regions, and that functional connectivity between these brain regions is stabilized early in childhood development (Gabard-Durnam et al., 2014);”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gabard-Durnam et al., 2014 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationA recent meta-analytic connectivity modeling study found that ventromedial prefrontal cortex is primarily involved in bottom-up, approach/avoidance, and evaluation-related processing, while dorsomedial prefrontal cortex is mostly involved in top-down and metacognition-related processing in social cognition.
“A recent study comparing dmPFC and vmPFC function with meta-analytic connectivity modeling found that vmPFC is primarily involved in bottom-up, approach/avoidance, and evaluation-related processing, while dmPFC was mostly involved in top-down and metacognition-related processing in social cognition (Bzdok et al., 2013b).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bzdok et al., 2013b
Not checked in the free run.
May combine two claims.
Interpretationown dataBecause the basolateral amygdala and medial prefrontal cortex showed no coupling, the current sample may show some immaturity in fronto-limbic connectivity.
“Due to the lack of coupling between BLA and mPFC, the current sample may be displaying some immaturity in fronto-limbic connectivity.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study's cross-sectional design is not ideal for capturing developmental effects.
“An additional limitation of this study is its cross sectional design, which is not ideal for capturing developmental effects.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe study's large sample, careful delineation of amygdala sub-regions, and thorough head-motion assessment and scrubbing support confidence in the reported results.
“The large sample size, careful delineation of amygdala sub-regions, and meticulous assessment of head motion and subsequent data scrubbing (see 2.4 Motion Correction and Supplementary Data) inspires confidence in the reported results.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationDelayed maturation of cognitive control regions favors emotional processing by the amygdala and ventromedial prefrontal cortex in early adolescence, but with increasing age and maturity, cognitive control regions such as dorsolateral and dorsomedial prefrontal cortex regulate limbic regions more effectively.
“The relatively delayed maturation of cognitive control regions favors emotional processing by regions like the amygdala and vmPFC in early adolescence; however, with increasing age and maturity, cognitive control brain regions like dorsolateral PFC and dmPFC more effectively regulate limbic regions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Steinberg, 2010 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
InterpretationcitationMales with positive resting-state functional connectivity between parieto-occipital regions and the basolateral amygdala may have memory problems, because the basolateral amygdala is important for memory in addition to emotional processing.
“Although all sub-regions are relevant for emotional processing (Ball et al., 2007, Hurlemann et al., 2008, Bzdok et al., 2013a), BLA is additionally important for memory function (Bzdok et al., 2013a); therefore, males demonstrating positive RSFC between parieto-occipital and BLA may report problems with memory functions.”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Study design and conductcitationThe study's puberty measure has only modest concordance with clinician evaluations of pubertal girls and moderate agreement with self-reported Tanner staging, limiting interpretation of true pubertal effects.
“Lastly, our measure of puberty shares only modest concordance with clinician evaluations of pubertal girls (Brooks-Gunn et al., 1987), which we did not have access to, and a moderate agreement with self-reported Tanner staging (Bond et al., 2006), limiting our interpretation of true pubertal effects.”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationThe medial prefrontal cortex is strongly implicated in social cognition and shows functional segregation along a dorsal-ventral axis.
“The mPFC has been strongly implicated in social cognition and also displays functional segregation along the dorsal-ventral axis (Amodio and Frith, 2006, Pfeifer and Allen, 2012, Bzdok et al., 2013b);”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAn alternative interpretation is that resting-state functional connectivity between the superficial amygdala and both ventral and dorsal medial prefrontal cortex supports different components of social cognition.
“An alternative interpretation is that RSFC between SFA and both ventral and dorsal mPFC support different components of social cognition.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrior studies show that during adolescence different brain regions reach peak gray matter volume at different rates, with concurrent neurophysiological changes.
“Previous studies have shown that throughout the span of adolescence, different brain regions reach peak gray matter volume at distinct rates (Giedd, 2004, Gogtay et al., 2004, Creze et al., 2014), with concurrent changes in neurophysiology (Whitford et al., 2007).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationGirls may use the cuneus and lingual gyrus, which are involved in emotional face processing, for socio-emotional processing as a distinct mechanism supporting connectivity patterns that manifest as sexually dimorphic social behavior.
“Alternatively, girls may rely on regions such as the cuneus and LG, which are implicated in emotional face processing (Bremner et al., 2004, Kitada et al., 2010, Kret et al., 2011), for socio-emotional processing as a distinct mechanism supporting neural functional connectivity patterns that in turn manifest into sexually dimorphic social behavior.”
Quote in the paperNot a substantial claim0 of 3 sources checked
The paper relies on this without support.
Cytoarchitectonic maps based on adult samples may not be representative of adolescent populations.
“Although cytoarchitectonic maps are precise microstructural tools, they are based on adult samples that may not be representative of adolescent populations.”
The paper relies on this without support.
An imbalance in maturity of frontal and limbic brain regions is likely insufficient to explain the range of behavior in adolescents.
“An imbalance in maturity of frontal and limbic brain regions is likely insufficient, however, to explain the range of behavior in adolescents.”
The paper relies on this without support.
Sex differences may be obscured when collapsing data across a variety of developmental stages.
“however, sex differences may be obscured when collapsing data across a variety of developmental stages.”
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?
Some studies show more focal sex differences in the thalamus, corpus callosum, cingulum, and superior cerebellar peduncles, and some show regions of increased FA in adult females, including the corpus callosum and fronto-occipital fasciculus.
“some studies have shown more focal differences in the thalamus, corpus callosum, cingulum, and superior cerebellar peduncles 136, 137, and some studies also show regions of increased FA in adult females compared with males, including the corpus callosum and fronto-occipital fasciculus137, 138.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [138]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Discussion reverses which sex has the more mature connectivity pattern
MajorOne discussion passage assigns the more mature SFA pattern to girls and BLA pattern to boys. A later passage assigns those same patterns to boys and girls, respectively.
“in which SFA RSFC is more mature in girls, while BLA RSFC is more mature in boys.”
“the present results support an interpretation of increased maturity of limbic-parietal-occipital networks supported by BLA in girls and SFA in boys”
Discussion claims BLA-mPFC coupling that the abstract rules out
MajorThe discussion says boys show increasing vmPFC-BLA coupling with age, whereas the abstract says neither sex shows increasing mPFC-BLA connectivity.
“Rather, with age, boys showed coupling between vmPFC and BLA, while girls showed coupling between dmPFC and SFA”
“neither sex showed increased connectivity between mPFC and BLA”
A squared correlation is reported as negative
MinorThe reported r2 value is negative, although squaring any correlation cannot produce a negative number. The same problem appears again for the post-scrubbing age-motion correlation, reported as r2 = −0.31.
Reported -0.22 · recomputed 0.0484
“FD was negatively correlated with age (r2 = −0.22, p = 0.02). Following data scrubbing, there were no sex differences in FD (i.e. FD remaining mean) (t120 = 0.27, p = 0.79), but age was still negatively correlated with FD (r2 = −0.31, p = 0.001)”
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · 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
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
Four Factor Index of Social Status
Paschou, R. (1975) · Cited by 6,989 · see citing works
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 4× · see citing works
“, 2014); however, prefrontal cortical brain regions display a protracted rate of development that extends into the third decade of life (Giedd et al., 1996; Gogtay et al., 2004).”
BackgroundInfluentialWechsler Abbreviated Scale of Intelligence
Dumont, R., Willis, J. O., Veizel, K., & Zibulsky, J. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese2519 · Cited by 5,547 · see citing works
Four Factor Index of Social Status [1975]
Hollingshead, A. B. (1975) · Cited by 5,151 · see citing works
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058 · see citing works
Meeting of minds: the medial frontal cortex and social cognition
Amodio, D. M., & Frith, C. D. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1884 · Cited by 3,782 · see citing works
Methods to detect, characterize, and remove motion artifact in resting state fMRI
Power, J. D., Mitra, A., Laumann, T. O., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.048 · Cited by 3,748 · see citing works
Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203 · cited 1× · see citing works
“The BLA facilitates associative learning processes, like fear conditioning, through afferent projections from the frontal cortex and other subcortical regions (LeDoux, 2003; Phelps and LeDoux, 2005).”
BackgroundA self‐report measure of pubertal status: Reliability, validity and initial norms
Petersen, A. C., Crockett, L., Richards, M., & Boxer, A. (1988) · Journal of Youth and Adolescence · doi:10.1007/bf01537962 · Cited by 3,129 · see citing works
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970 · see citing works
Self-citationThe influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344 · see citing works
A Bayesian model of shape and appearance for subcortical brain segmentation
Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.046 · Cited by 2,287 · see citing works
The Emotional Brain, Fear, and the Amygdala
LeDoux, J. (2003) · Cellular and Molecular Neurobiology · doi:10.1023/a:1025048802629 · Cited by 1,818 · see citing works
Structural magnetic resonance imaging of the adolescent brain
GIEDD, J. N. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.009 · Cited by 1,610 · see citing works
The role of medial prefrontal cortex in memory and decision making
Euston, D. R., Gruber, A. J., & McNaughton, B. L. (2012) · Neuron · doi:10.1016/j.neuron.2012.12.002 · Cited by 1,541 · see citing works
Functional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530 · see citing works
Self-citationSexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309 · see citing works
Galvan, A., Hare, T. A., Parra, C. E., Penn, J., Voss, H., Glover, G., & Casey, B. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1062-06.2006 · Cited by 1,282 · 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
Development of distinct control networks through segregation and integration
Fair, D. A., Dosenbach, N. U. F., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705843104 · Cited by 1,244 · see citing works
Self-citationA dual systems model of adolescent risk‐taking
Steinberg, L. (2010) · Developmental Psychobiology · doi:10.1002/dev.20445 · Cited by 1,187 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Pitkänen, A., Pikkarainen, M., Nurminen, N., & Ylinen, A. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06738.x · Cited by 962 · see citing works
Hare, T. A., Tottenham, N., Galvan, A., Voss, H. U., Glover, G. H., & Casey, B. J. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.03.015 · Cited by 928 · see citing works
Emotion regulation and mental health: recent findings, current challenges, and future directions
Berking, M., & Wupperman, P. (2012) · Current Opinion in Psychiatry · doi:10.1097/yco.0b013e3283503669 · Cited by 836 · see citing works
Anand, A., Li, Y., Wang, Y., Wu, J., Gao, S., Bukhari, L., Mathews, V. P., Kalnin, A., & Lowe, M. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.02.021 · Cited by 787 · see citing works
Hallquist, M. N., Hwang, K., & Luna, B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.116 · Cited by 753 · see citing works
Functional connectivity of the human amygdala using resting state fMRI
Roy, A. K., Shehzad, Z., Margulies, D. S., Kelly, A. M. C., Uddin, L. Q., Gotimer, K., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.030 · Cited by 749 · see citing works
A Developmental Shift from Positive to Negative Connectivity in Human Amygdala–Prefrontal Circuitry
Gee, D. G., Humphreys, K. L., Flannery, J., Goff, B., Telzer, E. H., Shapiro, M., Hare, T. A., Bookheimer, S. Y., & Tottenham, N. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3446-12.2013 · Cited by 731 · see citing works
McRae, K., Gross, J. J., Weber, J., Robertson, E. R., Sokol-Hessner, P., Ray, R. D., Gabrieli, J. D. E., & Ochsner, K. N. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr093 · Cited by 655 · see citing works
Validity of self-report measures of girls' pubertal status
Brooks-Gunn, J., Warren, M. P., Rosso, J., & Gargiulo, J. (1987) · Child Development · doi:10.2307/1130220 · Cited by 513 · see citing works
Østby, Y., Tamnes, C. K., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.1242-09.2009 · Cited by 480 · see citing works
Cunningham, M. G., Bhattacharyya, S., & Benes, F. M. (2002) · Journal of Comparative Neurology · doi:10.1002/cne.10376 · Cited by 474 · see citing works
Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463 · see citing works
Self-citationComparative aspects of amygdala connectivity
PRICE, J. L. (2003) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2003.tb07070.x · Cited by 442 · see citing works
Bzdok, D., Laird, A. R., Zilles, K., Fox, P. T., & Eickhoff, S. B. (2012) · Human Brain Mapping · doi:10.1002/hbm.22138 · Cited by 430 · see citing works
Brain maturation in adolescence: concurrent changes in neuroanatomy and neurophysiology
Whitford, T. J., Rennie, C. J., Grieve, S. M., Clark, C. R., Gordon, E., & Williams, L. M. (2007) · Human Brain Mapping · doi:10.1002/hbm.20273 · Cited by 391 · see citing works
Linked Sex Differences in Cognition and Functional Connectivity in Youth
Satterthwaite, T. D., Wolf, D. H., Roalf, D. R., Ruparel, K., Erus, G., Vandekar, S., Gennatas, E. D., Elliott, M. A., Smith, A. C. W., Hakonarson, H. H., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu036 · Cited by 377 · see citing works
The role of precuneus and left inferior frontal cortex during source memory episodic retrieval
Lundstrom, B. N., Ingvar, M., & Petersson, K. M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.008 · Cited by 374 · see citing works
Gabard-Durnam, L. J., Flannery, J., Goff, B., Gee, D. G., Humphreys, K. L., Telzer, E., Hare, T., & Tottenham, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.038 · Cited by 372 · see citing works
Tian, L., Wang, J., Yan, C., & Yong He, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.066 · Cited by 367 · see citing works
The limbic lobe and its output channels: implications for emotional functions and adaptive behavior
Heimer, L., & Van Hoesen, G. W. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.06.006 · Cited by 366 · see citing works
Abnormal Amygdala Resting-State Functional Connectivity in Adolescent Depression
Cullen, K. R., Westlund, M. K., Klimes-Dougan, B., Mueller, B. A., Houri, A., Eberly, L. E., & Lim, K. O. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1087 · Cited by 324 · see citing works
Pfeifer, J. H., & Allen, N. B. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.011 · Cited by 299 · see citing works
Typical development of basal ganglia, hippocampus, amygdala and cerebellum from age 7 to 24
Wierenga, L., Langen, M., Ambrosino, S., van Dijk, S., Oranje, B., & Durston, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.072 · Cited by 294 · see citing works
Validity of self-report measures of girls' pubertal status.
Jeanne Brooks-gunn, B., Warren, M. P., Rosso, J., & Gargiulo, J. (1987) · PubMed · Cited by 238 · see citing works
Wang, F., Kalmar, J. H., He, Y., Jackowski, M., Chepenik, L. G., Edmiston, E. K., Tie, K., Gong, G., Shah, M. P., Jones, M., et al. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.03.023 · Cited by 236 · see citing works
Segregation of the human medial prefrontal cortex in social cognition
Bzdok, D., Langner, R., Schilbach, L., Engemann, D. A., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00232 · Cited by 229 · see citing works
Emotion Regulation and Anxiety Disorders
Cisler, J. M., & Olatunji, B. O. (2012) · Current Psychiatry Reports · doi:10.1007/s11920-012-0262-2 · Cited by 224 · see citing works
Darki, F., & Klingberg, T. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht352 · Cited by 212 · see citing works
Similarities and differences in perceiving threat from dynamic faces and bodies. An fMRI study
Kret, M. E., Pichon, S., Grèzes, J., & de Gelder, B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.012 · Cited by 204 · see citing works
Sex-related differences in amygdala functional connectivity during resting conditions
Kilpatrick, L. A., Zald, D. H., Pardo, J. V., & Cahill, L. F. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.065 · Cited by 204 · see citing works
Developing connections for affective regulation: age-related changes in emotional brain connectivity
Perlman, S. B., & Pelphrey, K. A. (2011) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2010.08.006 · Cited by 198 · see citing works
Bremner, J. D., Vythilingam, M., Vermetten, E., Vaccarino, V., & Charney, D. S. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.4.637 · Cited by 192 · see citing works
Gender differences in working memory networks: a BrainMap meta-analysis
Hill, A. C., Laird, A. R., & Robinson, J. L. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.06.008 · Cited by 182 · see citing works
Costa Dias, T. G., Wilson, V. B., Bathula, D. R., Iyer, S. P., Mills, K. L., Thurlow, B. L., Stevens, C. A., Musser, E. D., Carpenter, S. D., Grayson, D. S., et al. (2013) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2012.10.015 · Cited by 180 · see citing works
Self-citationBall, T., Rahm, B., Eickhoff, S. B., Schulze-Bonhage, A., Speck, O., & Mutschler, I. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000307 · Cited by 176 · see citing works
Deep and Superficial Amygdala Nuclei Projections RevealedIn Vivoby Probabilistic Tractography
Bach, D. R., Behrens, T. E. J., Garrido, L., Weiskopf, N., & Dolan, R. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2744-10.2011 · Cited by 151 · see citing works
Pannekoek, J. N., van der Werff, S. J. A., Meens, P. H. F., van den Bulk, B. G., Jolles, D. D., Veer, I. M., van Lang, N. D. J., Rombouts, S. A. R. B., van der Wee, N. J. A., & Vermeiren, R. R. J. M. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12266 · Cited by 150 · see citing works
Das, P., Kemp, A. H., Flynn, G., Harris, A. W. F., Liddell, B. J., Whitford, T., Peduto, A. S., GORDON, E., & Williams, L. M. (2007) · Schizophrenia Research · doi:10.1016/j.schres.2006.11.023 · Cited by 150 · see citing works
Bond, L., Clements, J., Bertalli, N., Evans‐Whipp, T., McMorris, B. J., Patton, G. C., Toumbourou, J. W., & Catalano, R. F. (2006) · Journal of Adolescence · doi:10.1016/j.adolescence.2005.10.001 · Cited by 141 · see citing works
Selective processing of social stimuli in the superficial amygdala
Goossens, L., Kukolja, J., Onur, O. A., Fink, G. R., Maier, W., Griez, E., Schruers, K., & Hurlemann, R. (2009) · Human Brain Mapping · doi:10.1002/hbm.20755 · Cited by 132 · see citing works
Immature integration and segregation of emotion-related brain circuitry in young children
Qin, S., Young, C. B., Supekar, K., Uddin, L. Q., & Menon, V. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120408109 · Cited by 130 · see citing works
Premotor functional connectivity predicts impulsivity in juvenile offenders
Shannon, B. J., Raichle, M. E., Snyder, A. Z., Fair, D. A., Mills, K. L., Zhang, D., Bache, K., Calhoun, V. D., Nigg, J. T., Nagel, B. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1108241108 · Cited by 128 · see citing works
Self-citationHenry, J. D., Rendell, P. G., Green, M. J., McDonald, S., & O'Donnell, M. (2008) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.117.2.473 · Cited by 126 · see citing works
Kitada, R., Johnsrude, I. S., Kochiyama, T., & Lederman, S. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.014 · Cited by 113 · see citing works
Rama, P. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh037 · Cited by 110 · see citing works
Jacobs, R. H., Jenkins, L. M., Gabriel, L. B., Barba, A., Ryan, K. A., Weisenbach, S. L., Verges, A., Baker, A. M., Peters, A. T., Crane, N. A., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104366 · Cited by 109 · see citing works
Mills, K. L., Bathula, D., Dias, T. G. C., Iyer, S. P., Fenesy, M. C., Musser, E. D., Stevens, C. A., Thurlow, B. L., Carpenter, S. D., Nagel, B. J., et al. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00002 · Cited by 108 · see citing works
Self-citationCservenka, A., Casimo, K., Fair, D. A., & Nagel, B. J. (2014) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2013.12.004 · Cited by 86 · see citing works
Self-citationAlterations in amygdala functional connectivity reflect early temperament
Roy, A. K., Benson, B. E., Degnan, K. A., Pérez‐Edgar, K. E., Pine, D. S., Fox, N. A., & Monique Ernst, D. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.09.007 · Cited by 72 · see citing works
Amygdala–cingulate intrinsic connectivity is associated with degree of social inhibition
Blackford, J. U., Clauss, J. A., Avery, S. N., Cowan, R. L., Benningfield, M. M., & VanDerKlok, R. M. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.02.003 · Cited by 67 · see citing works
Sripada, R. K., Welsh, R. C., Marx, C. E., & Liberzon, I. (2014) · Human Brain Mapping · doi:10.1002/hbm.22399 · Cited by 66 · see citing works
Hurlemann, R., Rehme, A. K., Diessel, M., Kukolja, J., Maier, W., Walter, H., & Cohen, M. X. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.004 · Cited by 51 · see citing works
Li, Y., Qin, W., Jiang, T., Zhang, Y., & Yu, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035925 · Cited by 47 · see citing works
Sex differences in amygdala subregions: evidence from subregional shape analysis
Kim, H. J., Kim, N., Kim, S., Hong, S., Park, K., Lim, S., Park, J.-M., Na, B., Chae, Y., Lee, J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.025 · Cited by 40 · see citing works
Casanova, R., Whitlow, C. T., Wagner, B., Espeland, M. A., & Maldjian, J. A. (2012) · The Open Neuroimaging Journal · doi:10.2174/1874440001206010001 · Cited by 31 · see citing works
Smith, J. F., Pillai, A. S., Chen, K., & Horwitz, B. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00104 · Cited by 25 · see citing works
Creze, M., Versheure, L., Besson, P., Sauvage, C., Leclerc, X., & Jissendi‐Tchofo, P. (2014) · Human Brain Mapping · doi:10.1002/hbm.22369 · Cited by 14 · see citing works
Kim, N., Kim, H. J., Hwang, J., Yoon, S. J., Cho, H. B., Renshaw, P. F., Lyoo, I. K., & Kim, J. E. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2010.11.005 · Cited by 11 · see citing works
Giedd (1996) · doi:10.1002/(sici)1096-9861(19960304)366:2
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Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013 · see citing works
Sensitive periods of substance abuse: Early risk for the transition to dependence
Jordan, C. J., & Andersen, S. L. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.10.004 · Cited by 455 · see citing works
Puberty and the human brain: insights into adolescent development
Vijayakumar, N., Op de Macks, Z., Shirtcliff, E. A., & Pfeifer, J. H. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.06.004 · Cited by 437 · see citing works
Bailen, N. H., Green, L. M., & Thompson, R. J. (2019) · Emotion Review · doi:10.1177/1754073918768878 · Cited by 427 · see citing works
Brain changes associated with cognitive and emotional factors in chronic pain: A systematic review
Malfliet, A., Coppieters, I., Van Wilgen, P., Kregel, J., De Pauw, R., Dolphens, M., & Ickmans, K. (2017) · European Journal of Pain · doi:10.1002/ejp.1003 · Cited by 342 · see citing works
Sex differences and the neurobiology of affective disorders
Rubinow, D. R., & Schmidt, P. J. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0148-z · Cited by 274 · see citing works
Jalbrzikowski, M., Larsen, B., Hallquist, M. N., Foran, W., Calabro, F. J., & Luna, B. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.01.008 · Cited by 233 · see citing works
Anxiety Disorders Among Women: A Female Lifespan Approach
Hantsoo, L., & Epperson, C. N. (2017) · Focus · doi:10.1176/appi.focus.20160042 · Cited by 183 · see citing works
Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals
Hsu, T. W., Rosenberg, M. D., Scheinost, D., Constable, R. T., & Chun, M. M. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy002 · Cited by 176 · see citing works
Stevens, M. C. G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.027 · Cited by 138 · see citing works
van Duijvenvoorde, A. C. K., Westhoff, B., de Vos, F., Wierenga, L. M., & Crone, E. A. (2019) · Human Brain Mapping · doi:10.1002/hbm.24630 · Cited by 115 · 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
Thijssen, S., Muetzel, R. L., Bakermans‐Kranenburg, M. J., Jaddoe, V. W. V., Tiemeier, H. W., Verhulst, F. C., White, T. J. H., & van IJzendoorn, M. H. (2017) · Development and Psychopathology · doi:10.1017/s0954579417000141 · Cited by 97 · 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
Helpman, L., Zhu, X., Suarez-Jimenez, B., Lazarov, A., Monk, C., & Neria, Y. (2017) · Current Psychiatry Reports · doi:10.1007/s11920-017-0854-y · Cited by 82 · see citing works
Sex differences in the functional connectivity of the amygdalae in association with cortisol
Kogler, L., Müller, V. I., Seidel, E.-M., Boubela, R., Kalcher, K., Moser, E., Habel, U., Gur, R. C., Eickhoff, S. B., & Derntl, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.064 · Cited by 78 · see citing works
Wang, X., Wang, Z., Liu, J., Chen, J., Liu, X., Nie, G., Byun, J.-S., Liang, Y., Park, J., Huang, R., et al. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.07.011 · Cited by 77 · see citing works
Richmond, S., Johnson, K. A., Seal, M. L., Allen, N. B., & Whittle, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.024 · Cited by 70 · see citing works
Age-related differences in resting-state functional connectivity from childhood to adolescence
Sanders, A. F. P., Harms, M. P., Kandala, S., Marek, S. A., Somerville, L. H., Bookheimer, S. Y., Dapretto, M., Thomas, K. M., Essen, D. C. V., Yacoub, E. S., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad011 · Cited by 67 · see citing works
Salzwedel, A., Stephens, R. L., Goldman, B. D., Lin, W., Gilmore, J. H., & Gao, W. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.08.010 · Cited by 63 · see citing works
Peters, S., Peper, J. S., van Duijvenvoorde, A. C. K., Braams, B. R., & Crone, E. A. (2016) · Developmental Science · doi:10.1111/desc.12448 · Cited by 62 · see citing works
Concussion: pathophysiology and clinical translation
Giza, C. C., Greco, T., & Prins, M. L. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-63954-7.00006-9 · Cited by 62 · see citing works
Everaerd, D., Klumpers, F., Zwiers, M. P., Guadalupe, T. M., Franke, B., van Oostrom, I., Schene, A. H., Fernández, G., & Tendolkar, I. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.344 · Cited by 59 · see citing works
Hardee, J. E., Cope, L. M., Munier, E. C., Welsh, R. C., Zucker, R. A., & Heitzeg, M. M. (2017) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsx021 · Cited by 54 · see citing works
Sex-specific neural circuits of emotion regulation in the centromedial amygdala
Wu, Y. H., Li, H., Zhou, Y., Yu, J., Zhang, Y., Song, M., Qin, W., Yu, C., & Jiang, T. (2016) · Scientific Reports · doi:10.1038/srep23112 · Cited by 53 · see citing works
Müller‐Oehring, E. M., Kwon, D., Nagel, B. J., Sullivan, E. V., Chu, W., Torsten Rohlfing, B., Prouty, D., Nichols, B. N., Poline, J., Tapert, S. F., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx014 · Cited by 50 · see citing works
Self-citationGabard-Durnam, L. J., O’Muircheartaigh, J., Dirks, H., Dean, D., Tottenham, N., & Deoni, S. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.06.004 · Cited by 50 · see citing works
Atypical frontoamygdala functional connectivity in youth with autism
Odriozola, P., Dajani, D. R., Burrows, C. A., Gabard-Durnam, L. J., Goodman, E. S., Baez, A. C., Tottenham, N., Uddin, L. Q., & Gee, D. G. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.12.001 · Cited by 49 · see citing works
Sex Differences in the Amygdala Resting-State Connectome of Children With Autism Spectrum Disorder
Lee, J. K., Amaral, D. G., Solomon, M., Rogers, S. J., Ozonoff, S. J., & Nordahl, C. W. (2019) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.08.004 · Cited by 48 · see citing works
Developmental Cognitive Neuroscience of Adolescent Sexual Risk and Alcohol Use
Ewing, S. W. F., Ryman, S. G., Gillman, A. S., Weiland, B. J., Thayer, R. E., & Bryan, A. D. (2015) · AIDS and Behavior · doi:10.1007/s10461-015-1155-2 · Cited by 44 · see citing works
Yu, X., Liu, L., Chen, W., Cao, Q., Zepf, F. D., Ji, G., Wu, Z.-M., An, L., Wang, P., Qian, Q., et al. (2016) · Journal of Attention Disorders · doi:10.1177/1087054716661419 · Cited by 42 · see citing works
Jalbrzikowski, M., Murty, V. P., Tervo‐Clemmens, B., Foran, W., & Luna, B. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.18040443 · Cited by 41 · see citing works
Sexually divergent development of depression-related brain networks during healthy human adolescence
Dorfschmidt, L., Bethlehem, R. A. I., Seidlitz, J., Váša, F., White, S. R., Romero-García, R., Kitzbichler, M. G., Aruldass, A. R., Morgan, S. E., Goodyer, I. M., et al. (2022) · Science Advances · doi:10.1126/sciadv.abm7825 · Cited by 40 · see citing works
Sex differences in the developmental neuroscience of adolescent substance use risk
Heitzeg, M. M., Hardee, J. E., & Beltz, A. M. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.020 · Cited by 38 · see citing works
Pozzi, E., Vijayakumar, N., Byrne, M. L., Bray, K. O., Seal, M. L., Richmond, S., Zalesky, A., & Whittle, S. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100946 · Cited by 34 · see citing works
Xiao, T., Zhang, S., Lee, L.-E., Chao, H. H., van Dyck, C. H., & Li, C.-S. R. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00209 · Cited by 32 · see citing works
Altered Functional Connectivity of the Amygdala and Sex Differences in Functional Dyspepsia
Zeng, F., Sun, R., He, Z., Chen, Y., Du, L., Yin, T., Liu, X., Yang, Y., Ma, P., Qu, Y., et al. (2019) · Clinical and Translational Gastroenterology · doi:10.14309/ctg.0000000000000046 · Cited by 31 · see citing works
Mineur, Y. S., Bentham, M. P., Zhou, W., Plantenga, M. E., McKee, S. A., & Picciotto, M. R. (2015) · Psychopharmacology · doi:10.1007/s00213-015-4001-3 · Cited by 31 · see citing works
Scheuer, H., Alarcón, G., Demeter, D. V., Earl, E., Fair, D. A., & Nagel, B. J. (2017) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2017.05.012 · Cited by 29 · see citing works
Self-citationSex Differences in Internalizing Symptoms and Amygdala Functional Connectivity in Neurotypical Youth
Padgaonkar, N. T., Lawrence, K. E., Hernandez, L. M., Green, S. A., Galván, A., & Dapretto, M. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100797 · Cited by 28 · see citing works
Luo, L., Yang, T., Zheng, X., Zhang, X., Gao, S., Li, Y., Stamatakis, E. A., Sahakian, B. J., Becker, B., Lin, Q., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.02.023 · Cited by 28 · see citing works
Stressor-Specific Sex Differences in Amygdala-Frontal Cortex Networks
Bürger, Z., Müller, V. I., Hoffstaedter, F., Habel, U., Gur, R. C., Windischberger, C., Moser, E., Derntl, B., & Kogler, L. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm12030865 · Cited by 28 · see citing works
Ding, Y., Wang, E., Zou, Y., Song, Y., Xiao, X., Huang, W., & Li, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0174100 · Cited by 28 · see citing works
Alarcón, G., Pfeifer, J. H., Fair, D. A., & Nagel, B. J. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00073 · Cited by 28 · see citing works
Self-citationAdolescent sex differences in cortico-subcortical functional connectivity during response inhibition
Chung, Y. S., Calhoun, V. D., & Stevens, M. C. G. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00718-y · Cited by 26 · see citing works
Gard, A. M., Hein, T. C., Mitchell, C. M., Jeanne Brooks-gunn, B., McLanahan, S. S., Monk, C. S., & Hyde, L. W. (2021) · Development and Psychopathology · doi:10.1017/s0954579420001583 · Cited by 26 · see citing works
Cosío‐Guirado, R., Tapia‐Medina, M. G., Kaya, C., Peró, M., Villuendas‐González, E. R., & Guàrdia‐Olmos, J. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2024.101438 · Cited by 25 · see citing works
Sexual Dimorphism in Brain Development: Influence on Affective Disorders
López-Ojeda, W., & Hurley, R. A. (2021) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.20100269 · Cited by 24 · see citing works
Helpman, L., Zhu, X., Zilcha‐Mano, S., Suarez‐Jimenez, B., Lazarov, A., Rutherford, B. R., & Neria, Y. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100389 · Cited by 24 · see citing works
Zhang, M., Yang, F.-D., Fan, F., Wang, Z.-R., Hong, X., Tan, Y.-L., Tan, S.-P., & Hong, L. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102218 · Cited by 23 · see citing works
Zimmermann, J., Deris, N., Montag, C., Reuter, M., Felten, A., Becker, B., Weber, B., & Markett, S. A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.014 · Cited by 23 · see citing works
Adolescent alcohol use disrupts functional neurodevelopment in sensation seeking girls
Zhao, Q., Sullivan, E. V., Müller‐Oehring, E. M., Honnorat, N., Adeli, E., Podhajsky, S., Baker, F. C., Colrain, I. M., Prouty, D., Tapert, S. F., et al. (2020) · Addiction Biology · doi:10.1111/adb.12914 · Cited by 22 · see citing works
Self-citationNeural connectivity biotypes: associations with internalizing problems throughout adolescence
Chahal, R., Weissman, D. G., Hallquist, M. N., Robins, R. W., Hastings, P. D., & Guyer, A. E. (2020) · Psychological Medicine · doi:10.1017/s003329172000149x · Cited by 20 · see citing works
Sex differences in brain and behavioral development
Beltz, A. M., Kelly, D. P., & Berenbaum, S. A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814411-4.00027-5 · Cited by 20 · see citing works
Vijayakumar, N., Allen, N. B., Dennison, M., Byrne, M. L., Simmons, J. G., & Whittle, S. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.051 · Cited by 20 · see citing works
Xiao, L., Cai, B., Qu, G., Zhang, G., Stephen, J. M., Wilson, T. W., Calhoun, V. D., & Wang, Y.-P. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3160447 · Cited by 19 · see citing works
Hayward, D. A., Pomares, F., Casey, K., Ismaylova, E., Lévesque, M. L., Greenlaw, K., Vitaro, F., Brendgen, M., Renard, F., Dionne, G., et al. (2020) · Human Brain Mapping · doi:10.1002/hbm.25188 · Cited by 14 · see citing works
Hofmann, D., & Straube, T. (2019) · Human Brain Mapping · doi:10.1002/hbm.24555 · Cited by 18 · see citing works
Hong, J.-W., Hwang, J.-O., & Lee, J.-H. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.12.037 · Cited by 17 · see citing works
Qu, M., Gao, B., Jiang, Y., Li, Y., Pei, C., Xie, L., Zhang, Y., Song, Q., & Miao, Y. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-023-00844-9 · Cited by 16 · see citing works
Sukhodolsky, D. G., Ibrahim, K., Kalvin, C. B., Jordan, R. P., Eilbott, J. A., & Hampson, M. (2021) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsab128 · Cited by 16 · see citing works
Restructuring of amygdala subregion apportion across adolescence
Campbell, C. E., Mezher, A. F., Eckel, S. P., Tyszka, J. M., Pauli, W. M., Nagel, B. J., & Herting, M. M. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100883 · Cited by 16 · see citing works
Self-citationTestosterone and the Amygdala’s Functional Connectivity in Women and Men
Kogler, L., Müller, V. I., Moser, E., Windischberger, C., Gur, R. C., Habel, U., Eickhoff, S. B., & Derntl, B. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12206501 · Cited by 15 · see citing works
Sex Differences in Adolescent Neurobiological Risk for Substance Use and Substance Use Disorders
Dir, A. L., & Hulvershorn, L. A. (2019) · Current Addiction Reports · doi:10.1007/s40429-019-00276-w · Cited by 14 · see citing works
Tesen, H., Watanabe, K., Okamoto, N., Ikenouchi, A., Igata, R., Konishi, Y., Kakeda, S., & Yoshimura, R. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.780884 · Cited by 14 · see citing works
In search of sex-related mediators of affective illness
Sikes-Keilp, C., & Rubinow, D. R. (2021) · Biology of Sex Differences · doi:10.1186/s13293-021-00400-4 · Cited by 13 · see citing works
Chai, Y., Chimelis-Santiago, J. R., Bixler, K., Aalsma, M. C., Yu, M., & Hulvershorn, L. A. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102789 · Cited by 12 · see citing works
McKenna, B. S., Anthenelli, R. M., Smith, T. L., & Schuckit, M. A. (2022) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14744 · Cited by 12 · see citing works
Guan, L., Liu, R., Wang, C., Fan, Q., Zhou, J., Wang, Y., Feng, Y., Liu, J., Zhou, Y., Wang, G., et al. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05977-9 · Cited by 10 · see citing works
Resting-State Functional Connectivity Associated With Extraversion and Agreeableness in Adolescence
Yoon, L., Carranza, A. F., & Swartz, J. R. (2022) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2021.644790 · Cited by 10 · see citing works
Chaudhary, S., Hu, S., Hu, K., Dominguez, J. C., Chao, H. H., & Li, C.-S. R. (2023) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2023.100646 · Cited by 10 · see citing works
Albaugh, M. D., Hudziak, J. J., Orr, C., Spechler, P. A., Chaarani, B., Mackey, S., Lepage, C., Fonov, V., Rioux, P., Evans, A. C., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216152 · Cited by 9 · see citing works
Zielinski, M. J., Privratsky, A. A., Smitherman, S., Kilts, C. D., Herringa, R. J., & Cisler, J. M. (2018) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2018.08.016 · Cited by 8 · see citing works
Ojha, A., Foran, W., Calabro, F., Sydnor, V., Petrie, D. J., Parr, A., Famalette, A., Phang, N., Sista, A., Sorrells, S. F., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116265 · Cited by 7 · see citing works
Thomas, E., Juliano, A., Owens, M. M., Cupertino, R. B., Mackey, S., Hermosillo, R. J. M., Miranda-Domínguez, Ó., Conan, G., Ahmed, M., Fair, D. A., et al. (2024) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2024.111877 · Cited by 7 · see citing works
Self-citationZhu, X., Li, H., & Yong Fan, A. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11907 · Cited by 7 · see citing works
Xu, W., Ying, F., Luo, Y., Zhang, X., & Li, Z. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00379-3 · Cited by 6 · see citing works
Li, X., Fischer, H., Manzouri, A., Månsson, K. N. T., & Li, T. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.768418 · Cited by 5 · see citing works
Duffy, K. A., Wiglesworth, A., Roediger, D. J., Island, E., Mueller, B. A., Luciana, M. M., Klimes‐Dougan, B., Cullen, K. R., & Fiecas, M. J. A. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121238 · Cited by 4 · see citing works
Okamoto, N., Watanabe, K., Tesen, H., Ikenouchi, A., Igata, R., Konishi, Y., Natsuyama, T., Fujii, R., Kakeda, S., Kishi, T., et al. (2022) · Neurology International · doi:10.3390/neurolint14020031 · Cited by 4 · see citing works
Li, L., Cui, Z., & Wang, L. (2022) · Brain Topography · doi:10.1007/s10548-022-00900-5 · Cited by 3 · see citing works
Kamali, A., Khalaj, K., Ali, A., Khalaj, F., Kokash, D. M., Gonzalez, A. R., Jacobs, M. A., Akhbardeh, A., Schulz, P. E., & Hasan, K. M. (2025) · The Neuroradiology Journal · doi:10.1177/19714009251339083 · Cited by 3 · see citing works
Wang, S., Malins, J. G., Zhang, H., & Gruen, J. R. (2021) · JCPP Advances · doi:10.1002/jcv2.12049 · Cited by 3 · see citing works
Kulkarni, A. P., Hwang, G., Cook, C. J., Mohanty, R., Guliani, A., Nair, V. A., Bendlin, B. B., Meyerand, M. E., & Prabhakaran, V. (2022) · Human Brain Mapping · doi:10.1002/hbm.25947 · Cited by 3 · see citing works
Brown, O., Fang, Z., Smith, A., Healey, K., Zemek, R. L., & Ledoux, A. (2024) · Brain Connectivity · doi:10.1089/brain.2023.0096 · Cited by 3 · see citing works
Chung, R. S., Vera, R. M. D. C., Sundaram, S., Cavaleri, J., Gilbert, Z. D., Leonor, A., Shao, X., Zhang, S., Kammen, A., Mason, X. L., et al. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad5ebe · Cited by 3 · see citing works
Wu, L., Hong, Z., Wang, S., Huang, J., & Liu, J. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120948 · Cited by 3 · see citing works
Nordahl, C. W. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00033-4 · Cited by 3 · see citing works
Beta-Band Power Modulation in the Human Amygdala During a Delayed Reach Task
Sundaram, S., Shao, X., Chung, R. S., Vera, R. M. D. C., Cavaleri, J., Parra, M., Zhang, S., Swarup, A., Kammen, A., Heck, C., et al. (2024) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2025.111151 · Cited by 2 · see citing works
Kotoski, A., Wiafe, S.-L., Stephen, J. M., Wang, Y., Wilson, T. W., & Calhoun, V. D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.23.666366 · Cited by 2 · see citing works
Strike, L. T., McMahon, K. L., Medland, S. E., & de Zubicaray, G. I. (2025) · Cerebral Cortex · doi:10.1093/cercor/bhaf143 · Cited by 1 · see citing works
McKenna, B. S., Anthenelli, R. M., & Schuckit, M. A. (2024) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.15279 · Cited by 1 · see citing works
Contextual Influences on Youth Socioemotional and Corticolimbic Development
Gard, A. M. (2019) · Deep Blue (University of Michigan)
Ramírez, L. A. O., Sagarduy, J. L. Y., & Andaverde-Vega, A. A. (2021) · Gaceta Médica de Caracas · doi:10.47307/gmc.2021.129.s1.21
Roelofs, E. F., Bas‐Hoogendam, J. M., Winkler, A. M., van der Wee, N. J. A., & Vermeiren, R. R. J. M. (2024) · Neuroscience Applied · doi:10.1016/j.nsa.2024.104090
Beta-band power modulation in the human amygdala during a Direct Reach arm reaching task
Cavaleri, J., Sundaram, S., Vera, R. M. D. C., Shao, X., Chung, R. S., Parra, M., Swarup, A., Zhang, S., Kammen, A., Gogia, A. S., et al. (2025) · Neuroscience Research · doi:10.1016/j.neures.2025.05.001
Flook, E. A., Zabik, N. L., Feola, B., Rogers, B. P., & Blackford, J. (2025) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2025.101661
Ye, S., Dave, A., Lan, X., Witter, M. P., Salami, A., & Ziaei, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.04.703682
Sex differences in neural stress responses over psychosocial stress exposure
Dong, D., Li, C., Cheng, C., Sun, X., Xiong, G., Yao, S., Zhang, X., & Wang, X. (2026) · Brain Structure and Function · doi:10.1007/s00429-026-03121-9
Luan, Y., Wang, S., Gao, Y., Kong, Q., Ma, Z., & Luan, C. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1915122
- Authors
- Alarcón, G., Cservenka, A., Rudolph, M. D., Fair, D. A., & Nagel, B. J.
- Affiliations
- Oregon Health & Science University (US)
- Corresponding author
- Nagel, Bonnie J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 115
- Pages
- 235-244
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC4461484
- OpenAlex
- W2018473894
- Cited by
- 105
- References
- 86
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 10 · 2023: 4 · 2022: 12 · 2021: 11 · 2020: 9 · 2019: 10 · 2018: 15 · 2017: 10 · 2016: 8 · 2015: 3
- FWCI
- 7.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (R01 AA017664, T32 AA007468-24)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- resting-state functional connectivity, basolateral amygdala, superficial amygdala, sex differences, adolescence, brain maturation, medial prefrontal cortex, parieto-occipital cortex, fronto-limbic network, memory processes, sex differences in brain development, anxiety disorders, mood disorders
- MeSH terms
- Adolescent, Aging, Amygdala, Brain Mapping, Cerebral Cortex, Child, Female, Humans, Image Processing, Computer-Assisted, Intelligence, Magnetic Resonance Imaging, Male, Neural Pathways, Puberty, Reference Values, Rest, Sex Characteristics
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