Neurodevelopmental Trajectories in Children With Internalizing, Externalizing and Emotion Dysregulation Symptoms

Individual differences in internalizing symptoms in late childhood: A variance decomposition into cortical thickness, genetic and environmental differences

The brain undergoes extensive development during late childhood and early adolescence. Cortical thinning is a prominent feature of this development, and some researchers have suggested that differences in cortical thickness may be related to internalizing symptoms, which typically increase during the same period. However, research has yielded inconclusive results. We utilized a new method that estimates the combined effect of individual differences in vertex-wise cortical thickness on internalizing symptoms. This approach allows for many small effects to be distributed across the cortex and avoids the necessity of correcting for multiple tests. Using a sample of 8763 children aged 8.9 to 11.1 from the ABCD study, we decomposed the total variation in caregiver-reported internalizing symptoms into differences in cortical thickness, additive genetics, and shared family environmental factors and unique environmental factors. Our results indicated that individual differences in cortical thickness accounted for less than 0.5% of the variation in internalizing symptoms. In contrast, the analysis revealed a substantial effect of additive genetics and family environmental factors on the different components of internalizing symptoms, ranging from 06% to 48% and from 0% to 34%, respectively. Overall, while this study found a minimal association between cortical thickness and internalizing symptoms, additive genetics, and familial environmental factors appear to be of importance for describing differences in internalizing symptoms in late childhood. RESEARCH HIGHLIGHTS: We utilized a new method for modelling the total contribution of vertex-wise individual differences in cortical thickness to internalizing symptoms in late childhood. The total contribution of individual differences in cortical thickness accounted for <0.5% of the variance in internalizing symptoms. Additive genetics and shared family environmental variation accounted for 17% and 34% of the variance in internalizing symptoms, respectively. Our results suggest that cortical thickness is not an important indicator for internalizing symptoms in childhood, whereas genetic and environmental differences have a substantial impact.

Socioeconomic Disadvantage Moderates the Association of Systemic Inflammation With Amygdala Volume in Adolescents Over a 2-Year Interval: An Exploratory Study

BACKGROUND

Research has demonstrated an association between elevated systemic inflammation and changes in brain function. Affective areas of the brain involved in processing threat (e.g., amygdala) and reward (e.g., nucleus accumbens) appear to be sensitive to inflammation. Early-life stress, such as experiencing low socioeconomic status (SES), may also potentiate this association, but relevant evidence has come primarily from cross-sectional studies of brain function. It is unclear whether similar associations are present between early-life stress, inflammation, and brain structure, particularly in typically developing populations.

METHODS

We recruited and assessed 50 adolescents (31 females/19 males) from the community (mean [SD] age = 15.5 [1.1] years, range = 13.1-17.5 years) and examined in exploratory analyses whether changes in C-reactive protein (ΔCRP) from blood spots predict changes in gray matter volume (ΔGMV) in the bilateral amygdala and nucleus accumbens over a 2-year period. We also investigated whether experiencing early-life stress, operationalized using a comprehensive composite score of SES disadvantage at the family and neighborhood levels, significantly moderated the association between ΔCRP and ΔGMV.

RESULTS

We found that ΔCRP was negatively associated with Δamygdala GMV (i.e., increasing CRP levels were associated with decreasing amygdala volume; β = -0.84, p = .012). This effect was stronger in youths who experienced greater SES disadvantage (β = -0.56, p = .025).

CONCLUSIONS

These findings suggest that increases in systemic inflammation are associated with reductions in amygdala GMV in adolescents, potentially signaling accelerated maturation, and that these neuroimmune processes are compounded in adolescents who experienced greater SES disadvantage. Our findings are consistent with theoretical frameworks of neuroimmune associations and suggest that they may influence adolescent neurodevelopment.

The default mode network is associated with changes in internalizing and externalizing problems differently in adolescent boys and girls

Internalizing and externalizing problems that emerge during adolescence differentially increase boys' and girls' risk for developing psychiatric disorders. It is not clear, however, whether there are sex differences in the intrinsic functional architecture of the brain that underlie changes in the severity of internalizing and externalizing problems in adolescents. Using resting-state fMRI data and self-reports of behavioral problems obtained from 128 adolescents (73 females; 9-14 years old) at two timepoints, we conducted multivoxel pattern analysis to identify resting-state functional connectivity markers at baseline that predict changes in the severity of internalizing and externalizing problems in boys and girls 2 years later. We found sex-differentiated involvement of the default mode network in changes in internalizing and externalizing problems. Whereas changes in internalizing problems were associated with the dorsal medial subsystem in boys and with the medial temporal subsystem in girls, changes in externalizing problems were predicted by hyperconnectivity between core nodes of the DMN and frontoparietal network in boys and hypoconnectivity between the DMN and affective networks in girls. Our results suggest that different neural mechanisms predict changes in internalizing and externalizing problems in adolescent boys and girls and offer insights concerning mechanisms that underlie sex differences in the expression of psychopathology in adolescence.

Stage 2 Registered Report: The Bidirectional Relationship Between Brain Features and the Dysregulation Profile: A Longitudinal, Multimodal Approach

OBJECTIVE

Youth with symptoms of emotion dysregulation are at risk for a multitude of psychiatric diagnoses later in life. However, few studies have focused on the underlying neurobiology of emotion dysregulation. This study assessed the bidirectional relationship between emotion dysregulation symptoms and brain morphology throughout childhood and adolescence.

METHOD

A combined total of 8,235 children and adolescents drawn from 2 large population-based cohorts, the Generation R Study and Adolescent Brain Cognitive Development (ABCD) Study, were included. Data were acquired in 3 waves in Generation R (mean [SD] age = 7.8 [1.0] wave 1 [W1]; 10.1 [0.6] W2; 13.9 [0.5] W3) and in 2 waves in ABCD (mean [SD] age = 9.9 [0.6] W1; 11.9 [0.6] W2). Cross-lagged panel models were used to determine the bidirectional relationships between emotion dysregulation symptoms and brain morphology. The study was preregistered before performing analyses.

RESULTS

In the Generation R sample, emotion dysregulation symptoms at W1 preceded lower hippocampal (β = -.07, SE = 0.03, p = .017) and temporal pole (β = -.19, SE = 0.07, p = .006) volumes at W2. Emotion dysregulation symptoms at W2 preceded lower fractional anisotropy in the uncinate fasciculus (β = -.11, SE = 0.05, p = .017) and corticospinal tract (β = -.12, SE = 0.05, p = .012). In the ABCD sample, emotion dysregulation symptoms preceded posterior cingulate (β = .01, SE = 0.003, p = .014) and nucleus accumbens volumes (left hemisphere: β = -.02, SE = 0.01, p = .014; right hemisphere: β = -.02, SE = 0.01, p = .003).

CONCLUSION

In population-based samples, with relatively low psychopathology symptoms in the majority of children, symptoms of emotion dysregulation can precede differential development of brain morphology. This provides the foundation for future work to assess to what extent optimal brain development can be promoted through early intervention.

STUDY REGISTRATION INFORMATION

The Bidirectional Relationship Between Brain Features and the Dysregulation Profile: A Longitudinal, Multimodal Approach; https://doi.org/10.1016/j.jaac.2022.03.008.

DIVERSITY & INCLUSION STATEMENT

We worked to ensure that the study questionnaires were prepared in an inclusive way. The author list of this paper includes contributors from the location and/or community where the research was conducted who participated in the data collection, design, analysis, and/or interpretation of the work.

Associations of behavioral problems with white matter circuits connecting to the frontal lobes in school-aged children born at term and preterm

Introduction

This study investigated whether behavioral problems in children were associated with fractional anisotropy (FA) of white matter tracts connecting from other brain regions to right and left frontal lobes. We considered internalizing and externalizing behavioral problems separately and contrasted patterns of associations in children born at term and very preterm.

Methods

Parents completed the Child Behavior Checklist/6-18 questionnaire to quantify behavioral problems when their children were age 8 years (N=36 FT and 37 PT). Diffusion magnetic resonance scans were collected at the same age and analyzed using probabilistic tractography. We used multiple linear regression to investigate the strength of association between age-adjusted T-scores of internalizing and externalizing problems and mean fractional anisotropy (mean-FA) of right and left uncinate, arcuate, and anterior thalamic radiations, controlling for birth group and sex.

Results

Regression models predicting internalizing T-scores from mean-FA found significant group-by-tract interactions for the left and right arcuate and right uncinate. Internalizing scores were negatively associated with mean-FA of left and right arcuate only in children born at term (pleft AF =0.01, pright AF =0.01). Regression models predicting externalizing T-scores from mean-FA found significant group-by-tract interactions for the left arcuate and right uncinate. Externalizing scores were negatively associated with mean-FA of right uncinate in children born at term (pright UF =0.01) and positively associated in children born preterm (pright UF preterm =0.01). Other models were not significant.

Conclusions

In this sample of children with scores for behavioral problems across the full range, internalizing and externalizing behavioral problems were negatively associated with mean-FA of white matter tracts connecting to frontal lobes in children born at term; externalizing behavioral problems were positively associated with mean-FA of the right uncinate in children born preterm. The different associations by birth group suggest that the neurobiology of behavioral problems differs in the two birth groups.

Brain Structure Relations With Psychopathology Trajectories in the ABCD Study

OBJECTIVE

A general psychopathology (p) factor captures shared variation across mental disorders. Structural neural alterations have been associated with the p factor concurrently, but less is known about whether these alterations relate to within-person change in the p factor over time, especially during preadolescence, a period of neurodevelopmental changes.

METHOD

This study examined whether baseline brain structure was prospectively related to the trajectory of the p factor and specific forms of psychopathology over 2 years in 9,220 preadolescents (aged 9-10 at baseline) from the Adolescent Brain Cognitive Development Study (ABCD). Longitudinal multilevel models were conducted to determine whether baseline brain structure (volume, surface area, thickness) was associated with between-person differences and within-person change in the p factor (from a higher-order confirmatory factor model) and internalizing, externalizing, neurodevelopmental, somatization, and detachment factor scores (from a correlated factors model) over 3 study waves.

RESULTS

Smaller global volume and surface area, but not thickness, were associated with higher between-person levels of the p factor scores, which persisted over time. None of the brain structure measures were related to within-person change in the p factor scores. Lower baseline cortical thickness was associated with steeper decreases in internalizing psychopathology, which was driven by lower thickness within sensorimotor and temporal regions.

CONCLUSION

These novel results identify specific brain structure features that might contribute to transdiagnostic psychopathology development in preadolescence. Children with smaller total brain volume and surface area may be vulnerable to persistent general psychopathology during preadolescence. Cortical thinning reflective of pruning and myelination in sensorimotor and temporal brain regions specifically may protect against increases in internalizing, but not general psychopathology, during preadolescence.

Alteration of surface morphology and core features in adolescents with borderline personality disorder

BACKGROUND

Accurate early diagnosis of adolescent borderline personality disorder (BPD) is critical for prompt treatment. The aim of this study was to assess the alteration of brain surface morphology and to evaluate its relationship with core features in adolescent BPD.

METHODS

A total of 52 adolescents with BPD aged 12-17 years and 39 age- and sex-matched healthy controls (HCs) were prospectively enrolled into the study. Brain magnetic resonance imaging (MRI) was obtained with both 3D-T1 weighted structural sequence and resting-state functional data. The structural data was analyzed for surface morphology parameters including the local gyrification index (LGI), mean curvature and surface area. The functional MRI data was analyzed for seed-based functional connectivity (FC). Correlative analysis of surface morphology and core features of adolescent BPD was performed.

RESULTS

Adolescents with BPD showed the following altered surface morphology in the limbic-cortical circuit when compared to the HCs: (1) reduced LGI in the left fusiform and right superior temporal gyrus; (2) reduced mean curvature in the left precentral gyrus and right rostral anterior cingulate cortex, and increased mean curvature in the bilateral pericalcarine; and (3) reduced surface area in the left paracentral gyrus, left pars triangularis, right insula and right lateral orbitofrontal gyrus (P < 0.05, FWE correction). In addition, these brain regions with altered surface morphology were significantly correlated with several core features including the mood instability, self-identity problems, and non-suicidal self-injury behavior in adolescents with BPD (P < 0.05). Furthermore, there was enhanced functional connectivity among these altered brain regions within the limbic-cortical circuit (voxel P < 0.001, cluster P < 0.05, FWE corrected).

CONCLUSIONS

Adolescents with BPD had significant alterations of brain surface morphology in the limbic-cortical circuit, which was correlated with core BPD features. These results implicated the surface morphology parameters and FC alterations may potentially serve as neuroimaging biomarkers for adolescents with BPD.

Phenome-wide Investigation of Behavioral, Environmental, and Neural Associations with Cross-Disorder Genetic Liability in Youth of European Ancestry

Etiologic insights into psychopathology may be gained by using hypothesis-free methods to identify associations between genetic risk for broad psychopathology and phenotypes measured during adolescence, including both markers of child psychopathology and intermediate phenotypes such as neural structure that may link genetic risk with outcomes. We conducted a phenome-wide association study (phenotype n=1,269-1,694) of polygenic risk scores (PRS) for broad spectrum psychopathology (i.e., Compulsive, Psychotic, Neurodevelopmental, and Internalizing) in youth of PCA-selected European ancestry (n=5,556; ages 9-13) who completed the baseline and/or two-year follow-up of the ongoing Adolescent Brain Cognitive Development℠ (ABCD) Study. We found that Neurodevelopmental and Internalizing PRS were significantly associated with a host of proximal as well as distal phenotypes (Neurodevelopmental: 187 and 211; Internalizing: 122 and 173 phenotypes at baseline and two-year follow-up, respectively), whereas Compulsive and Psychotic PRS showed zero and one significant associations, respectively, after Bonferroni correction. Neurodevelopmental PRS were further associated with brain structure metrics (e.g., total volume, mean right hemisphere cortical thickness), with only cortical volume indirectly linking Neurodevelopmental PRS to grades in school. Genetic variation influencing risk to psychopathology manifests broadly as behaviors, psychopathology symptoms, and related risk factors in middle childhood and early adolescence.

Hallucinations and Brain Morphology Across Early Adolescence: A Longitudinal Neuroimaging Study

BACKGROUND

Psychotic disorders have been widely associated with structural brain abnormalities. However, it is unclear whether brain structure predicts psychotic experiences in youth from the general population, owing to an overall paucity of studies and predominantly cross-sectional designs. Here, the authors investigated longitudinal associations between brain morphology and hallucinations from childhood to early adolescence.

METHODS

This study was embedded in the population-based Generation R Study. Children underwent structural neuroimaging at age 10 years (N = 2042); a subsample received a second scan at age 14 years (n = 964). Hallucinations were assessed at ages 10 and 14 years and studied as a binary variable. Cross-lagged panel models and generalized linear mixed-effects models were fitted to examine longitudinal associations between brain morphology and hallucinations.

RESULTS

Smaller total gray and white matter volumes and total cortical surface area at baseline were associated with a higher occurrence of hallucinations between ages 10 and 14 years. The regions associated with hallucinations were widespread, including the frontal, parietal, temporal, and occipital lobes, as well as the insula and cingulate cortex. Analyses of subcortical structures revealed that smaller baseline hippocampal volumes were longitudinally associated with hallucinations, although this association was no longer significant following adjustment for intracranial volume. No evidence for reverse temporality was observed (i.e., hallucinations predicting brain differences).

CONCLUSIONS

The findings from this longitudinal study suggest that global structural brain differences are associated with the development of hallucinations. These results extend findings from clinical populations and provide evidence for a neurodevelopmental vulnerability across the psychosis continuum.

Deviations from normative brain white and gray matter structure are associated with psychopathology in youth

Combining imaging modalities and metrics that are sensitive to various aspects of brain structure and maturation may help identify individuals that show deviations in relation to same-aged peers, and thus benefit early-risk-assessment for mental disorders. We used one timepoint multimodal brain imaging, cognitive, and questionnaire data from 1280 eight- to twenty-one-year-olds from the Philadelphia Neurodevelopmental Cohort. We estimated age-related gray and white matter properties and estimated individual deviation scores using normative modeling. Next, we tested for associations between the estimated deviation scores, and with psychopathology domain scores and cognition. More negative deviations in DTI-based fractional anisotropy (FA) and the first principal eigenvalue of the diffusion tensor (L1) were associated with higher scores on psychosis positive and prodromal symptoms and general psychopathology. A more negative deviation in cortical thickness (CT) was associated with a higher general psychopathology score. Negative deviations in global FA, surface area, L1 and CT were also associated with poorer cognitive performance. No robust associations were found between the deviation scores based on CT and DTI. The low correlations between the different multimodal magnetic resonance imaging-based deviation scores suggest that psychopathological burden in adolescence can be mapped onto partly distinct neurobiological features.