The effect of prenatal lithium exposure on the neuropsychological development of the child.

OBJECTIVES: Lithium is an effective treatment for bipolar disorder, also during pregnancy to prevent the recurrence of episodes in the perinatal period. Little is known about the neuropsychological development of lithium-exposed offspring. The current study was designed to investigate neuropsychological functioning in lithium-exposed children with the aim to provide further knowledge on the long-term effects of lithium use during pregnancy. METHODS: Participants were offspring of women with a diagnosis of bipolar spectrum disorder, aged 6-14 years. In total, 99 children participated in the study, 56 were exposed to lithium in utero and 43 were not exposed to lithium. Neuropsychological tests were administered, including the Snijders-Oomen Nonverbal Intelligence Test and the NEPSY-II-NL assessment. Linear and negative binomial regression models were used to investigate the association between prenatal lithium exposure and neuropsychological functioning. In secondary analyses, the association between lithium blood level during pregnancy and neuropsychological functioning was assessed. Additionally, norm scores and percentiles for task outcomes were calculated. RESULTS: Lithium use during pregnancy was associated with the total number of mistakes made on the Auditory Attention task, but not statistically significant after full adjustment for potential confounding factors. No association between prenatal lithium exposure and IQ was found. Also, no relationship between lithium blood level during pregnancy and neuropsychological functioning was found after adjustment for potential confounders. Task outcomes in both groups were comparable to the general population. CONCLUSION: In this study, we found no evidence for significantly altered neuropsychological functioning of lithium-exposed children at the age of 6-14 years, when compared to non-lithium-exposed controls.

T cell composition and polygenic multiple sclerosis risk: A population-based study in children.

BACKGROUND AND PURPOSE: Patients with multiple sclerosis (MS) have altered T cell function and composition. Common genetic risk variants for MS affect proteins that function in the immune system. It is currently unclear to what extent T cell composition is affected by genetic risk factors for MS, and how this may precede a possible disease onset. Here, we aim to assess whether an MS polygenic risk score (PRS) is associated with an altered T cell composition in a large cohort of children from the general population. METHODS: We included genotyped participants from the population-based Generation R study in whom immunophenotyping of blood T cells was performed at the age of 6 years. Analyses of variance were used to determine the impact of MS-PRSs on total T cell numbers (n = 1261), CD4+ and CD8+ lineages, and subsets therein (n= 675). In addition, T-cell-specific PRSs were constructed based on functional pathway data. RESULTS: The MS-PRS negatively correlated with CD8+ T cell frequencies (p = 2.92 × 10-3 ), which resulted in a positive association with CD4+ /CD8+ T cell ratios (p = 8.27 × 10-9 ). These associations were mainly driven by two of 195 genome-wide significant MS risk variants: the main genetic risk variant for MS, HLA-DRB1*15:01 and an HLA-B risk variant. We observed no significant associations for the T-cell-specific PRSs. CONCLUSIONS: Our results suggest that MS-associated genetic variants affect T cell composition during childhood in the general population.

Silent cerebral infarcts in patients with sickle cell disease: a systematic review and meta-analysis.

BACKGROUND AND PURPOSE: Silent cerebral infarcts (SCIs) are the most common neurological complication in children and adults with sickle cell disease (SCD). In this systematic review, we provide an overview of studies that have detected SCIs in patients with SCD by cerebral magnetic resonance imaging (MRI). We focus on the frequency of SCIs, the risk factors involved in their development and their clinical consequences. METHODS: The databases of Embase, MEDLINE ALL via Ovid, Web of Science Core Collection, Cochrane Central Register of Trials via Wiley and Google Scholar were searched from inception to June 1, 2019. RESULTS: The search yielded 651 results of which 69 studies met the eligibility criteria. The prevalence of SCIs in patients with SCD ranges from 5.6 to 80.6% with most studies reported in the 20 to 50% range. The pooled prevalence of SCIs in HbSS and HbSß0 SCD patients is 29.5%. SCIs occur more often in patients with the HbSS and HbSß0 genotype in comparison with other SCD genotypes, as SCIs are found in 9.2% of HbSC and HbSß+ patients. Control subjects showed a mean pooled prevalence of SCIs of 9.8%. Data from included studies showed a statistically significant association between increasing mean age of the study population and mean SCI prevalence. Thirty-three studies examined the risk factors for SCIs. The majority of the risk factors show no clear association with prevalence, since more or less equal numbers of studies give evidence for and against the causal association. CONCLUSIONS: This systematic review and meta-analysis shows SCIs are common in patients with SCD. No clear risk factors for their development were identified. Larger, prospective and controlled clinical, neuropsychological and neuroimaging studies are needed to understand how SCD and SCIs affect cognition.

PRENATAL EXPOSURE TO MATERNAL AND PATERNAL DEPRESSIVE SYMPTOMS AND BRAIN MORPHOLOGY: A POPULATION-BASED PROSPECTIVE NEUROIMAGING STUDY IN YOUNG CHILDREN.

BACKGROUND: Prenatal depressive symptoms have been associated with multiple adverse outcomes. Previously, we demonstrated that prenatal depressive symptoms were associated with impaired growth of the fetus and increased behavioral problems in children aged between 1.5 and 6 years. In this prospective study, we aimed to assess whether prenatal maternal depressive symptoms at 3 years have long-term consequences on brain development in a cohort of children aged 6-10 years. As a contrast, the association of paternal depressive symptoms during pregnancy and brain morphology was assessed to serve as a marker of background confounding due to shared genetic and environmental family factors. METHODS: We assessed parental depressive symptoms during pregnancy with the Brief Symptom Inventory. At approximately 8 years of age, we collected structural neuroimaging data, using cortical thickness, surface area, and gyrification as outcomes (n = 654). RESULTS: We found that exposure to prenatal maternal depressive symptoms during pregnancy was associated with a thinner superior frontal cortex in the left hemisphere. Additionally, prenatal maternal depressive symptoms were related to larger caudal middle frontal area in the left hemisphere. Maternal depressive symptoms at 3 years were not associated with cortical thickness, surface area, or gyrification in the left and right hemispheres. No effects of paternal depressive symptoms on brain morphology were observed. CONCLUSIONS: Prenatal maternal depressive symptoms were associated with differences in brain morphology in children. It is important to prevent, identify, and treat depressive symptoms during pregnancy as it may have long-term consequences on child brain development.

Brain connectivity during verbal working memory in children and adolescents.

Working memory (WkM) is a fundamental cognitive process that serves as a building block for higher order cognitive functions. While studies have shown that children and adolescents utilize similar brain regions during verbal WkM, there have been few studies that evaluate the developmental differences in brain connectivity. Our goal was to study the development of brain connectivity related to verbal WkM in typically developing children and adolescents. Thirty-five healthy children and adolescents, divided into three groups: 9-12 (children), 13-16 (young adolescents), and 17-19 (older adolescents) years, were included in this functional magnetic resonance imaging (fMRI) study. The verbal WkM task involved a modified Sternberg item recognition paradigm using three different loads. Brain connectivity analysis was performed using independent component analyses and regressing the components with the design matrix to determine task-related networks. Connectivity analyses resulted in four components associated solely with encoding, four solely with recognition and two with both. Two networks demonstrated age-related differences with respect to load, (1) the left motor area and right cerebellum, and 2) the left prefrontal cortex, left parietal lobe, and right cerebellum. Post hoc analyses revealed that the first network showed significant effects of age between children and the two older groups. There was increasing connectivity with increasing load for adolescents. The second network demonstrated age-related differences between children and older adolescents. Children have higher task-related connectivity at lower loads, but they tend to equalize with the adolescents with higher loads. Finally, a non-load related network involving the orbital frontal and anterior cingulate cortices showed less connectivity in children. Hum Brain Mapp 35:698-711, 2014. © 2012 Wiley Periodicals, Inc.

Prenatal exposure to selective serotonin reuptake inhibitors and social responsiveness symptoms of autism: population-based study of young children.

BACKGROUND: Selective serotonin reuptake inhibitors (SSRIs) are considered safe and are frequently used during pregnancy. However, two case-control studies suggested an association between prenatal SSRI exposure with childhood autism. AIMS: To prospectively determine whether intra-uterine SSSRI exposure is associated with childhood autistic symptoms in a population-based study. METHOD: A total of 376 children prenatally exposed to maternal depressive symptoms (no SSRI exposure), 69 children prenatally exposed to SSRIs and 5531 unexposed children were included. Child pervasive developmental and affective problems were assessed by parental report with the Child Behavior Checklist at ages 1.5, 3 and 6. At age 6, we assessed autistic traits using the Social Responsiveness Scale (n = 4264). RESULTS: Prenatal exposure to maternal depressive symptoms without SSRIs was related to both pervasive developmental (odds ratio (OR) = 1.44, 95% CI 1.07-1.93) and affective problems (OR = 1.44, 95% CI 1.15-1.81). Compared with unexposed children, those prenatally exposed to SSRIs also were at higher risk for developing pervasive developmental problems (OR = 1.91, 95% CI 1.13-3.47), but not for affective problems. Children prenatally exposed to SSRIs also had more autistic traits (B = 0.15, 95% CI 0.08-0.22) compared with those exposed to depressive symptoms only. CONCLUSIONS: Our results suggest an association between prenatal SSRI exposure and autistic traits in children. Prenatal depressive symptoms without SSRI use were also associated with autistic traits, albeit this was weaker and less specific. Long-term drug safety trials are needed before evidence-based recommendations are possible.

Functional connectivity between parietal and frontal brain regions and intelligence in young children: the Generation R study.

It has been shown in adults that individual differences in intelligence are related to the integrity of the interaction between parietal and frontal brain regions. Since connectivity between distant brain regions strengthens during childhood, it is unclear when in the course of development this relationship emerges. Thus, the goal of this study was to determine whether parietal-frontal functional connectivity is associated with intelligence in young children. We performed independent component analyses on resting-state fMRI data of 115 children (6-8 years old) to select seed and target regions for a seed/target region correlation analysis. We found that higher nonverbal intelligence was associated with increased functional connectivity between right parietal and right frontal regions, and between right parietal and dorsal anterior cingulate regions. The association between intelligence and functional connectivity between certain brain regions was stronger in girls than boys. In conclusion, we found that connectivity between the parietal and frontal lobes is critically involved in intelligence in young children.

Can neuroimaging measures differentiate the disease course of anorexia nervosa? A systematic review.

Anorexia nervosa (AN) entails many uncertainties regarding the clinical outcome, due to large heterogeneity in the disease course. AN is associated with global decrease in brain volumes and altered brain functioning during acute illness. However, it is unclear whether structural and functional brain alterations can predict clinical outcome. We aimed to systematically review the predictive value of volumetric and functional brain outcome measures of structural and functional brain magnetic resonance imaging (MRI) on the disease course of AN. Four databases (Embase, Medline, Psycinfo, and Cochrane Central Register) were systematically searched. A total of 15 studies (structural MRI: n = 6, functional MRI: n = 9) were reviewed. In total 464 unique AN patients, and 328 controls were included. Follow-up time ranged between 1 and 43 months. Structural neuroimaging studies showed that lower brain volumes of the cerebellum, subcortical grey matter, and cortical white matter at admission predicted a worse clinical outcome. A smaller increase of the anterior cingulate cortex volume in the early phase of the disease predicted a worse clinical outcome. Lower overall gyrification, and a higher clustering coefficient predicted a worse clinical outcome. Functional MRI studies showed that frontal, parietal and temporal activity during task-based algorithms predicted follow-up body mass index, although results were bidirectional possibly due to the large heterogeneity in methodological approaches. Neuroimaging measures may predict the clinical outcome of AN. However, there is a lack of replication studies. Future studies are needed to validate the prognostic utility of neuroimaging measures in AN patients, and should harmonize demographic, clinical and neuroimaging features in order to enhance comparability.

Editors' Best of 2020.

There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2020 articles that we think deserve your attention, or at least a second read.

JAACAP's Role in Advancing the Science of Pediatric Mental Health and Promoting the Care of Youth and Families During the COVID-19 Pandemic.

As we pen these words, the COVID-19 pandemic is having profound impacts on human society. Based on decades of research, we know that the accompanying illness,1 death,2 social isolation,3,4 and malnutrition5 will have deep and lasting impacts on our children and adolescents, their families, and the communities in which they develop. The pandemic is exposing, with terrible clarity, the disparities in human society-racism,6 poverty,7,8 domestic violence,9,10 and child maltreatment and neglect11-and tragically will likely amplify the negative impacts that each has on child development and mental health.

Our Vision: An Antiracist Journal.

Our renewed vision for the Journal is to be antiracist at every level. To achieve this, we will go beyond our long-standing charge to advance the knowledge of child development, children's mental health, and prevention and treatment of mental illness to solicit and disseminate research that addresses the systemic presence of racism and its influence on the health and well-being of children of color and their families. We acknowledge that our efforts as a journal to address these inequities have been insufficient and that dismantling the threads of White supremacy requires us to take a more active role. We pledge to do the work to advance research that understands the individual, cultural, and societal factors that contribute to the persistent disparities we have previously noted but failed to correct.

Editors' Best of 2019.

There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2019 articles that we think deserve your attention or at least a second read.

Brain Development and Stochastic Processes During Prenatal and Early Life: You Can't Lose It if You've Never Had It; But It's Better to Have It and Lose It, Than Never to Have Had It at All.

Brain development, although largely driven by genetic processes, also is influenced by environmental factors. However, there has been little discussion in the psychiatric literature on the role of stochastic, or chance, events that take place during neurodevelopment. Studies suggest that the brain capitalizes on and regulates the extent of stochastic processes during development. Furthermore, because neurodevelopment is influenced by environmental factors, there is emerging evidence that fostering those positive environmental factors during prenatal and early life could optimize neurodevelopment and provide greater resilience, including those potentially resulting from stochastic processes. Evidence for the role of environmental factors in optimizing early brain development is supported by work in large population-based studies of child development, randomized control trials in high-risk populations, and early-life adoption studies. The public health message is that creating an environment that fosters optimal brain development during prenatal and early life could prevent psychopathology and provide the developing brain the best chance against negative stochastic processes and potential stressors that are inevitable later in life.

Editors' Best of 2018.

There is, in the content of the Journal, an embarrassment of riches, and picking a "best" seems to demand a certain qualification: is the "best" the most interesting, most surprising, most educational, most important, most provocative, most enjoyable? How to choose? We are hardly unbiased and can admit to a special affection for the ones that we and the authors worked hardest on, hammering version after version into shape. Acknowledging these biases, here are the 2018 articles that we think deserve your attention or at least a second read.

Study Registration: Encouraging the Practice of Hypothetical-Deductive Research in the Journal.

Earlier this year, we shared with you our commitment to supporting the dissemination of research that is well designed, carefully conducted, and properly interpreted, and our belief that authors, reviewers, editors, publishers, and readers should jointly strive to ensure the integrity of the science that we publish.1 Toward this end, we are pleased to announce a new submission type beginning in 2019: Registered Reports.

Maternal use of selective serotonin reuptake inhibitors, fetal growth, and risk of adverse birth outcomes.

CONTEXT: Selective serotonin reuptake inhibitors (SSRIs) are frequently prescribed to pregnant women, but knowledge about their unintended effects on child health is scarce. OBJECTIVE: To examine the effects of maternal SSRI use during pregnancy on fetal growth and birth outcomes. DESIGN: The study was embedded in the Generation R Study, a prospective population-based study from fetal life onward. PARTICIPANTS: Seven thousand six hundred ninety-six pregnant women were included. Selective serotonin reuptake inhibitor use was assessed by questionnaires in each trimester and verified by pharmacy records. Using depressive symptom scores from the Brief Symptom Inventory, 7027 pregnant mothers (91.3%) had no or low depressive symptoms, 570 pregnant mothers (7.4%) had clinically relevant depressive symptoms and used no SSRIs, and 99 pregnant mothers (1.3%) used SSRIs. MAIN OUTCOME MEASURES: Fetal ultrasonography was performed in each trimester. We determined fetal body and head growth with repeated assessments of body and head size. The birth outcomes studied were preterm birth, small for gestational age, and low birth weight. RESULTS: Fetuses from mothers with prenatal depressive symptoms showed reduced body growth (ß=-4.4 g/wk; 95% CI: -6.3 to -2.4; P<.001) and head growth (ß=-0.08 mm/wk; 95% CI: -0.14 to -0.03; P=.003). Mothers using SSRIs during pregnancy had fewer depressive symptoms than mothers in the clinical symptom range. Prenatal SSRI use was not associated with reduced body growth but was associated with reduced fetal head growth (ß=-0.18 mm/wk; 95% CI: -0.32 to -0.07; P=.003). The SSRI-exposed children were at higher risk for preterm birth (odds ratio=2.14; 95% CI: 1.08 to 4.25; P=.03). CONCLUSIONS: Untreated maternal depression was associated with slower rates of fetal body and head growth. Pregnant mothers treated with SSRIs had fewer depressive symptoms and their fetuses had no delay in body growth but had delayed head growth and were at increased risk for preterm birth. Further research on the implications of these findings is needed.