Normal development of brain circuits

A human iPSC-Derived myelination model for investigating fetal brain injuries

Cerebral white matter injuries, such as periventricular leukomalacia, are major contributors to neurodevelopmental impairments in preterm infants. Despite the clinical significance of these conditions, human-relevant models for studying fetal brain development and injury mechanisms remain limited. This study introduces a human iPSC-derived myelination model developed using a microfluidic device. The platform combines spinal cord-patterned neuronal and oligodendrocyte spheroids to recapitulate axon-glia interactions and myelination processes in vitro. The model successfully achieved axonal fascicle formation and compact myelin deposition, as validated by immunostaining and transmission electron microscopy. Functional calcium imaging confirmed neuronal activity within the system, underscoring its physiological relevance. While myelination efficiency was partial, with some axons remaining unmyelinated under the current conditions, this model represents a significant advancement in human myelin biology, offering a foundation for investigating fetal and perinatal brain injuries and related pathologies. Future refinements, such as improved myelination coverage and incorporating additional CNS cell types, will enhance its utility for studying disease mechanisms and enabling high-throughput drug screening.

Burst of gyrification in the human brain after birth

Gyrification, the intricate folding of the brain's cortex, begins mid-gestation and surges dramatically throughout the perinatal period. Yet, a critical factor has been largely overlooked in neurodevelopmental research: the profound impact of birth on brain structure. Leveraging the largest known perinatal MRI dataset-819 sessions spanning 21 to 45 postconceptional weeks-we reveal a burst in gyrification immediately following birth (~37 weeks post-conception), amounting to half the entire gyrification expansion occurring during the fetal period. Using state-of-the-art, homogenized imaging processing tools across varied acquisition protocols, and applying a regression discontinuity design approach that is novel to neuroimaging, we provide the first evidence of a sudden, birth-triggered shift in cortical development. Investigation of additional cortical features confirms that this effect is uniquely confined to gyrification. This finding sheds light onto the understanding of early brain development, suggesting that the neurobiological consequences of birth may hold significant behavioral and physiological relevance.

Hippocampal Interneurons Shape Spatial Coding Alterations in Neurological Disorders

Hippocampal interneurons (INs) play a fundamental role in regulating neural oscillations, modulating excitatory circuits, and shaping spatial representation. While historically overshadowed by excitatory pyramidal cells in spatial coding research, recent advances have demonstrated that inhibitory INs not only coordinate network dynamics but also contribute directly to spatial information processing. This review aims to provide a novel integrative perspective on how distinct IN subtypes participate in spatial coding and how their dysfunction contributes to cognitive deficits in neurological disorders such as epilepsy, Alzheimer's disease (AD), traumatic brain injury (TBI), and cerebral hypoxia-ischemia. We synthesize recent findings demonstrating that different IN classes-including parvalbumin (PV)-, somatostatin (SST)-, cholecystokinin (CCK)-, and calretinin (CR)-expressing neurons-exhibit spatially selective activity, challenging traditional views of spatial representation, and influence memory consolidation through network-level interactions. By leveraging cutting-edge techniques such as in vivo calcium imaging and optogenetics, new evidence suggests that INs encode spatial information with a level of specificity previously attributed only to pyramidal cells. Furthermore, we investigate the impact of inhibitory circuit dysfunction in neurological disorders, examining how disruptions in interneuronal activity lead to impaired theta-gamma coupling, altered sharp wave ripples, and destabilized place cell representations, ultimately resulting in spatial memory deficits. This review advances the field by shifting the focus from pyramidal-centered models to a more nuanced understanding of the hippocampal network, emphasizing the active role of INs in spatial coding. By highlighting the translational potential of targeting inhibitory circuits for therapeutic interventions, we propose novel strategies for restoring hippocampal network function in neurological conditions. Readers will gain a comprehensive understanding of the emerging role of INs in spatial representation and the critical implications of their dysfunction, paving the way for future research on interneuron-targeted treatments for cognitive disorders.

Targeting C1q prevents microglia-mediated synaptic removal in neuropathic pain

Activation of spinal microglia following peripheral nerve injury is a central component of neuropathic pain pathology. While the contributions of microglia-mediated immune and neurotrophic signalling have been well-characterized, the phagocytic and synaptic pruning roles of microglia in neuropathic pain remain less understood. Here, we show that peripheral nerve injury induces microglial engulfment of dorsal horn synapses, leading to a preferential loss of inhibitory synapses and a shift in the balance between inhibitory and excitatory synapse density. This synapse removal is dependent on the microglial complement-mediated synapse pruning pathway, as mice deficient in complement C3 and C4 do not exhibit synapse elimination. Furthermore, pharmacological inhibition of the complement protein C1q prevents dorsal horn inhibitory synapse loss and attenuates neuropathic pain. Therefore, these results demonstrate that the complement pathway promotes persistent pain hypersensitivity via microglia-mediated engulfment of dorsal horn synapses in the spinal cord, revealing C1q as a therapeutic target in neuropathic pain.

Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder

Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, the impact of increased synapses on the neurophysiological activity of ASD remains unclear. To address this, we propose a large-scale cortical network model based on empirical structural connectivity data using the Wendling model, which successfully simulates both pathological and physiological electroencephalography (EEG) signals. Building on this, the EEG functional network is constructed using the phase lag index, effectively characterizing the functional connectivity. Our modeling results indicate that EEG activity and functional network properties undergo significant changes by globally increasing synaptic coupling strength. Specifically, it leads to abnormal neural oscillations clinically reported in ASD, including the decreased dominant frequency, the decreased relative power in the α band and the increased relative power in the δ+θ band, particularly in the frontal lobe. At the same time, the clustering coefficient and global efficiency of the functional network decrease, while the characteristic path length increases, suggesting that the functional network of ASD is inefficient and poorly integrated. Additionally, we find insufficient functional connectivity across multiple brain regions in ASD, along with decreased wavelet coherence in the α band within the frontal lobe and between the frontal and temporal lobes. Considering that most of the synaptic increases in ASD are limited, brain regions are further randomly selected to increase the local synaptic coupling strength. The results show that disturbances in local brain regions can also facilitate the development of ASD. This study reveals the intrinsic link between synapse increase and abnormal brain activity in ASD, and inspires treatments related to synapse pruning.

Development of the thermoregulatory mechanism - Raising the possibility that it is acquired at birth

Whether the human thermoregulation mechanism in response to environmental temperature stimuli originates from learning or evolution remains an intriguing research question. Body temperature regulation depends not only on innate temperature sensation but also on acquired conditioning. Maintaining body temperature is essential for homeostasis, and the brain coordinates this process through a network of interconnected regulatory systems. In this review, we discuss how humans perceive temperature and establish thermoregulatory mechanisms at birth. We also propose an acquired connectivity structure perspective for the development of neonatal thermoregulatory mechanisms, particularly for brown adipose tissue thermogenesis. This perspective will enhance our understanding of the various acquired mechanisms of thermoregulation and adaptation to environmental temperature. Ultimately, this knowledge may contribute to the development of effective interventions for thermal balance disruptions, such as neonatal hypothermia.

Prenatal Adversity and Neonatal Brain Connectivity Relate to Emerging Executive Function at Age 2 Years

OBJECTIVE

Early life adversity alters the structure and function of higher-order brain networks that subserve executive function (EF). The extent that prenatal exposure to adversity and neonatal white matter (WM) microstructure and resting-state functional connectivity (rs-fc) underlie problems in emerging EF remains unclear.

METHOD

This prospective study includes 164 infants (45% female, 85% term-born) who were recruited prenatally and underwent neonatal diffusion and rs-fc magnetic resonance imaging scans. Social disadvantage and maternal psychosocial stress were assessed in the prenatal period. At age 2 years, children completed the Minnesota Executive Function Scale. Multivariable regression, moderation, and mediation analyses examined associations between prenatal adversity, neonatal WM microstructure and rs-fc, and emerging EF outcome.

RESULTS

Prenatal social disadvantage (PSD), but not maternal psychosocial stress, was associated with poorer emerging EF. After multiple comparison correction, higher mean diffusivity (MD) and lower fractional anisotropy (FA) in the corpus callosum, as well as higher MD in the inferior fronto-occipital fasciculus and corticospinal tract and lower FA in the uncinate, related to poorer emerging EF. In moderation analysis, associations between neonatal WM microstructure and emerging EF did not vary as a function of PSD. In mediation analyses, neonatal WM microstructure did not attenuate the association between PSD and emerging EF. The rs-fc findings did not pass multiple comparison correction.

CONCLUSION

PSD was related to poorer emerging EF outcomes. Neonatal WM microstructure was also related to emerging EF, with similar associations for children with lower or higher PSD. Prenatal social welfare programs may support neonatal brain development and early neurodevelopmental outcomes.

DIVERSITY & INCLUSION

We worked to ensure sex and gender balance in the recruitment of human participants. We worked to ensure race, ethnic, and/or other types of diversity in the recruitment of human participants. We worked to ensure that the study questionnaires were prepared in an inclusive way.

Trimester-specific associations of exposure to epoxide alkanes, alkenals, and 1,3-butadiene with preschool children's intellectual development: A birth cohort study in Wuhan, China

The impact of prenatal exposure to contaminants with neurotoxicity like epoxide alkanes (ethylene oxide, propylene oxide), alkenals (acrolein, crotonaldehyde), and 1,3-butadiene on children's intellectual development remains underreported, and related sensitive window is of interest. In this cohort study, metabolites of these contaminants were measured in 3,081 urine samples from 1,027 pregnant women across three trimesters. Children's intelligence quotient was evaluated at 4-6 years old. Generalized estimating equation models showed that higher urinary concentrations of 2-hydroxypropyl mercapturic acid (a metabolite of propylene oxide), 3-hydroxypropyl mercapturic acid (HPMMA, a metabolite of crotonaldehyde), and the sum of acrolein metabolites in the first trimester were associated with lower visual spatial index (VSI), working memory index (WMI), or processing speed index scores. Quantile g-computation models revealed that co-exposure to these contaminants in the first trimester were associated with lower VSI (β = -0.98, 95 % CI: -1.94, -0.03) and WMI (β = -0.86, 95 % CI: -1.66, -0.06) scores, with HPMMA as the major contributor. These results suggested that early pregnancy could be a sensitive window during which exposure to propylene oxide, crotonaldehyde, and acrolein may impair offspring's intellectual development.

The generalizability of cortical area parcellations across early childhood

The cerebral cortex consists of distinct areas that develop through intrinsic embryonic patterning and postnatal experiences. Accurate parcellation of these areas in neuroimaging studies improves statistical power and cross-study comparability. Given significant brain changes in volume, microstructure, and connectivity during early life, we hypothesized that cortical areas in 1- to 3-year-olds would differ markedly from neonates and increasingly resemble adult patterns as development progresses. Here, we parcellated the cerebral cortex into putative areas using local functional connectivity (FC) gradients in 92 toddlers at 2 years old. We demonstrate high reproducibility of these cortical areas across 1- to 3-year-olds in two independent datasets. The area boundaries in 1- to 3-year-olds were more similar to those in adults than those in neonates. While the age-specific group area parcellation better fits the underlying FC in individuals during the first 3 years, adult area parcellations still have utility in developmental studies, especially in children older than 6 years. Additionally, we provide connectivity-based community assignments of the area parcels, showing fragmented anterior and posterior components based on the strongest connectivity, yet alignment with adult systems when weaker connectivity was included.

Brain tissue microstructure in a prospective, longitudinal, population-based cohort of preterm and term-born young adults

BACKGROUND

Fifteen million infants annually are born prematurely, placing them at high risk for life-long adverse neurodevelopmental outcomes. Whether brain tissue abnormalities that accompany preterm birth persist into young adulthood and are associated with long-term cognitive or psychiatric outcomes is not known.

METHODS

From infancy into young adulthood, we followed a population-based sample of consecutively identified preterm infants and their matched term controls. The preterm group was born at an average gestational age of 31.5 ± 2.6 weeks. We obtained Diffusion Tensor Imaging scans and assessed cognitive and psychiatric outcomes in young adulthood, at a mean age of 19 (range 17.6-20.8) years. Usable data were acquired from 180 participants (89 preterm, 91 term).

RESULTS

Preterm birth was associated with lower fractional anisotropy (FA) and higher average diffusion coefficient (ADC) values in deep white matter tracts of the internal capsule, cerebral peduncles, inferior frontal-occipital fasciculus, sagittal stratum and splenium of the corpus callosum, as well as in grey matter of the caudate, putamen and thalamus. A younger gestational age at birth accentuated these tissue abnormalities. Perinatal characteristics, including lower 5-min APGAR score, history of bronchopulmonary dysplasia, more days of oxygen supplementation and multiple births all increased ADC values in deep white matter tracts and grey matter throughout the brain. Preterm individuals had significantly lower full-scale IQ and more frequent lifetime psychiatric disorders. Those with psychiatric illnesses had significantly higher ADC and lower FA values throughout the deep posterior white matter.

CONCLUSIONS

Abnormalities in brain tissue microstructure associated with preterm birth persist into young adulthood and likely represent disordered myelination and accompanying axonal pathology. These disturbances are associated with a higher likelihood of developing a psychiatric disorder by young adulthood. Brain tissue disturbances were accentuated in those born at younger gestational ages and in those with a history of perinatal complications associated with infection and inflammation.

Nutritional interventions to counteract the detrimental consequences of early-life stress

Exposure to stress during sensitive developmental periods comes with long term consequences for neurobehavioral outcomes and increases vulnerability to psychopathology later in life. While we have advanced our understanding of the mechanisms underlying the programming effects of early-life stress (ES), these are not yet fully understood and often hard to target, making the development of effective interventions challenging. In recent years, we and others have suggested that nutrition might be instrumental in modulating and possibly combatting the ES-induced increased risk to psychopathologies and neurobehavioral impairments. Nutritional strategies are very promising as they might be relatively safe, cheap and easy to implement. Here, we set out to comprehensively review the existing literature on nutritional interventions aimed at counteracting the effects of ES on neurobehavioral outcomes in preclinical and clinical settings. We identified eighty six rodent and ten human studies investigating a nutritional intervention to ameliorate ES-induced impairments. The human evidence to date, is too few and heterogeneous in terms of interventions, thus not allowing hard conclusions, however the preclinical studies, despite their heterogeneity in terms of designs, interventions used, and outcomes measured, showed nutritional interventions to be promising in combatting ES-induced impairments. Furthermore, we discuss the possible mechanisms involved in the beneficial effects of nutrition on the brain after ES, including neuroinflammation, oxidative stress, hypothalamus-pituitary-adrenal axis regulation and the microbiome-gut-brain axis. Lastly, we highlight the critical gaps in our current knowledge and make recommendations for future research to move the field forward.

The Complementary Role of Morphology in Understanding Microglial Functional Heterogeneity

A search of the PubMed database for publications on microglia reveals an intriguing shift in scientific interest over time. Dividing microglia into categories such as "resting" and "activated" or M1 versus M2 is nowadays obsolete, with the current research focusing on unraveling microglial heterogeneity. The onset of transcriptomics, especially single-cell RNA sequencing (scRNA-seq), has profoundly reshaped our understanding of microglia heterogeneity. Conversely, microglia morphology analysis can offer important insights regarding their activation state or involvement in tissue responses. This review explores microglial heterogeneity under homeostatic conditions, developmental stages, and disease states, with a focus on integrating transcriptomic data with morphological analysis. Beyond the core gene expression profile, regional differences are observed with cerebellar microglia exhibiting a uniquely immune-vigilant profile. During development, microglia express homeostatic genes before birth, yet the bushy appearance is a characteristic that appears later on. In neurodegeneration, microglia alternate between proinflammatory and neuroprotective roles, influenced by regional factors and disease onset. Understanding these structural adaptations may help identify specific microglial subpopulations for targeted therapeutic strategies.

Physiological roles of embryonic microglia and their perturbation by maternal inflammation

The interplay between the nervous and immune systems is well documented in the context of adult physiology and disease. Recent advances in understanding immune cell development have highlighted a significant interaction between neural lineage cells and microglia, the resident brain macrophages, during developmental stages. Throughout development, particularly from the embryonic to postnatal stages, diverse neural lineage cells are sequentially generated, undergo fate determination, migrate dynamically to their appropriate locations while maturing, and establish connections with their surroundings to form neural circuits. Previous studies have demonstrated that microglia contribute to this highly orchestrated process, ensuring the proper organization of brain structure. These findings underscore the need to further investigate how microglia behave and function within a broader framework of neurodevelopment. Importantly, recent epidemiological studies have suggested that maternal immune activation (MIA), triggered by various factors, such as viral or bacterial infections, environmental stressors, or other external influences, can affect neurogenesis and neural circuit formation, increasing the risk of neurodevelopmental disorders (NDDs) in offspring. Notably, many studies have revealed that fetal microglia undergo significant changes in response to MIA. Given their essential roles in neurogenesis and vascular development, inappropriate activation or disruption of microglial function may impair these critical processes, potentially leading to abnormal neurodevelopment. This review highlights recent advances in rodent models and human studies that have shed light on the behaviors and multifaceted roles of microglia during brain development, with a particular focus on the embryonic stage. Furthermore, drawing on insights from rodent MIA models, this review explores how MIA disrupts microglial function and how such disturbances may impair brain development, ultimately contributing to the onset of NDDs.

Early social communication and language development in moderate-to-late preterm infants: a longitudinal study

This study investigates early development and language acquisition in moderate-to-late preterm (MLPT) infants, focusing on social communication as a key factor. Using a longitudinal design, social communicative, cognitive and language outcomes were assessed at 12, 18, and 24 months in 106 infants, including 49 MLPT and 57 full-term (FT) infants. Standardized tools, including the Bayley Scales of Infant and Toddler Development (Bayley-III), the Vineland Adaptive Behavior Scales (Vineland-3), and the Social Attention and Communication Surveillance-Revised (SACS-R), were used to assess early developmental performance. Group differences and the interaction between group and assessment time points were analyzed to examine developmental patterns over time. Additionally, predictive models identified early indicators of receptive and expressive language performance at 24 months. The results revealed significant developmental delays in the MLPT group compared to their FT peers, with receptive language showing the most pronounced deficits. Early social communication behaviors, such as pointing, following a point, and attending to sounds at 12 months, emerged as strong predictors of both receptive and expressive language performance. Cognitive abilities also played a significant role, particularly in receptive language development. These findings underscore the utility of tools like the SACS-R in identifying early communication challenges and guiding tailored support strategies. Sustained developmental monitoring and targeted interventions that foster communication skills may promote positive language outcomes in MLPT infants, supporting their long-term developmental potential within this population with increased developmental needs.

Electroencephalography and Anesthetic Depth in Children Under 2 Years of Age: A Prospective Observational Study

BACKGROUND

Processed electroencephalogram (EEG) indices are widely used to monitor anesthetic depth. However, their reliability in children under 2 years of age remains questionable. During anesthesia maintenance in this age group, processed EEG indices frequently exhibit unexpectedly elevated values that exceed the intended target range.

AIM

This study aimed to identify EEG spectral parameters associated with false positive elevations in processed EEG indices and investigate their differences from true positive elevations during emergence.

METHODS

This prospective observational study included 50 children aged 4-24 months undergoing general anesthesia. Bispectral index (BIS), patient state index (PSi), and raw EEG were continuously recorded throughout anesthesia. False positive was defined as elevated processed EEG indices when end-tidal sevoflurane concentration was maintained at 0.7-1.3 minimum alveolar concentration, with heart rate and mean blood pressure between 80% and 120% of baseline values. We analyzed EEG power spectra and band power values during periods of false positives and compared them with those of true positives during emergence. Bonferroni-corrected p < 0.05 was considered significant.

RESULTS

False positives in processed EEG indices were observed in 35 (70%) of the children during anesthesia maintenance, occupying 28% of the maintenance phase. These false positives were associated with decreased power in delta (269-174 dB) and theta (115-97 dB) bands, but widespread increases in alpha and beta bands, resulting in elevated spectral edge frequency (19-22 Hz). Notably, EEG band power during false positives significantly differed from those observed during emergence (delta: 52 dB, theta: 38 dB) (all p < 0.001).

CONCLUSIONS

Processed EEG indices may exhibit unexpectedly elevated values during anesthesia maintenance in children under 2 years of age. Quantitative assessments derived from raw EEG data may improve the evaluation of anesthetic depth in this population.

Gestational Age and Cognitive Development in Childhood

Importance

Preterm and early-term births are known risk factors for cognitive impairment, but studies that comprehensively include genetics, prenatal risk, and child-specific factors in high-risk populations are lacking.

Objective

To investigate the long-term cognitive outcomes of children born at various gestational ages, including very preterm (28-31 weeks), moderately preterm (32-33 weeks), late preterm (34-36 weeks), and early term (37-38 weeks), compared with full-term (≥39 weeks), accounting for genetics and other risk factors.

Design, Setting, and Participants

In this prospective, multicenter, longitudinal cross-sectional study, children aged 9 to 10 years were recruited from the Adolescent Brain and Cognitive Development Study between January 1, 2016, and December 31, 2018. Children underwent cognitive assessments using the National Institutes of Health Toolbox, Little Man Task, and Rey Auditory Verbal Learning Test. Polygenic scores for cognitive performance (cogPGS) were generated using results of a genome-wide association study from the genetic variants related to cognitive performance, educational attainment, and mathematical ability. Data analysis was performed from March to June 2024.

Exposure

Preterm (very preterm, moderately preterm, late preterm) and early-term birth status, with full-term birth status as the reference group.

Main Outcomes and Measures

The primary outcome of interest was the composite cognitive score, while secondary outcomes included individual cognitive domain scores. Hierarchical regression models were used to examine associations between gestational age and cognitive outcomes, adjusting for socioeconomic status (SES), cogPGS, prenatal risks, and child-specific factors.

Results

Among 5946 children included in the study (mean [SD] age, 9.9 [0.6] years; 3083 [51.8%] male), 55 (0.9%) were born very preterm, 110 (1.8%) were born moderately preterm, 454 (7.6%) were born late preterm, 261 (4.4%) were born early term, and 5066 (85.2%) were born full term. The cogPGS was positively associated with the composite cognitive score (β = 0.14; 95% CI, 0.12-0.17; P < .001) in the overall cohort. Compared with full-term children, those born moderately preterm had lower composite cognitive scores (β = -0.39; 95% CI, -0.55 to -0.22; P < .001) and lower scores in vocabulary (β = -0.36; 95% CI, -0.53 to -0.19; P < .001), working memory (β = -0.27; 95% CI, -0.45 to -0.09; P = .003), episodic memory (β = -0.32; 95% CI, -0.50 to -0.14; P < .001), and both short-delay recall (β = -0.36; 95% CI, -0.54 to -0.18; P < .001) and long-delay recall (β = -0.29; 95% CI, -0.48 to -0.11; P = .002). These associations were independent of SES, cogPGS, and other risk factors. Importantly, the lowest cognitive scores appeared among children born at 32 weeks or less. In contrast, late-preterm and early-term children performed similarly to full-term peers.

Conclusions and Relevance

In this cross-sectional study of children aged 9 to 10 years, moderately preterm birth was associated with long-term cognitive problems independent of SES, genetics, and other risk factors. These findings underscore the need for continued follow-up of all preterm children, with particular focus on those born before 34 weeks' gestational age, because they may face greater developmental challenges over time.

Intergenerational Effects of Stress - A Focus on Learning and Memory

Stress is a ubiquitous facet of life. Ranging in form (e.g., psychosocial, physical, nutritional, economic) and longevity (e.g., acute, chronic), stressors affect the biology of those directly in their line of attack. As is becoming increasingly appreciated, the pernicious effects of stress echo across generations (Dias et al. 2015; Yehuda and Lehrner 2018; Jawaid et al. 2021; Dion et al. 2022; Zhou and Ryan 2023; Dias 2024). With a focus on learning and memory, this chapter addresses how stressors derail learning and memory in the generation directly exposed to them andin future generations. To do so, with a specific emphasis on associative fear conditioning in humans and rodents, we touch upon the relevance of extinction training in the aftermath of such conditioning and the recall of such extinction training as windows into normative and disrupted learning. Next, we briefly discuss underlying neuroanatomical substrates mediating these processes. We then draw attention to influences of postnatal, in utero, and pre-conceptional stress on learning and memory across generations. Finally, we briefly outline biological factors that underlie how learning and memory is derailed by these stressors.

Higher prenatal dietary glycemic index in the third trimester of pregnancy is associated with infant negative affect at 6 months

The dietary glycemic index (GI) reflects post-prandial plasma glucose generation rate, with higher-GI foods rapidly increasing blood sugar. Prenatal consumption of high-GI foods is associated with offspring risk for obesity and metabolic disorders. The impact of prenatal dietary GI exposure on infant neurodevelopment remains unclear. Maternal dietary intake, percent adiposity, and insulin resistance were prospectively assessed during the second and third trimesters in a sample of women with healthy, singleton pregnancies (N = 302). Infant negative affect was prospectively assessed at six months using observer ratings (Still Face Paradigm) and caregiver-reports (Infant-Behavior Questionnaire-Revised). Structural equation models assessed the independent effects of second and third trimester maternal dietary GI, adiposity, insulin resistance on infant negative affect, adjusted for relevant covariates. Higher third, but not second, trimester dietary GI was associated with increased observer-rated infant negative affect (β = 0.14, p = .04) and with higher caregiver-reported infant sadness (β = 0.17, p = .01), suggesting a programming effect of prenatal dietary GI on infant neurodevelopment. Targeted interventions that decrease dietary GI in later pregnancy may prove more effective for optimizing infant behavioral health compared to longer-term changes needed to alter metabolic state. Identifying modifiable early contributors to infant negative affect supports proactive strategies for mitigating future psychopathology risk.

Prenatal Hemoglobin Concentration and Long-Term Child Neurocognitive Development

Anemia in pregnancy, defined by a hemoglobin level (Hb) of less than 110 g/L, contributes to infant mortality and morbidity in sub-Saharan Africa. Maternal Hb changes physiologically and pathologically during pregnancy. However, the impact of these changes on long-term child neurocognitive function is unknown. This study therefore investigates the association between Hb at specific antenatal care visits and prenatal Hb trajectories during pregnancy and long-term child neurocognitive function. We analyzed data from a prospective cohort study that included 6-year-old singleton children born to women enrolled before 29 weeks of gestation into an antimalarial drug clinical trial. Hemoglobin level was analyzed from venous blood collected at least twice during pregnancy and at delivery. We used group-based trajectory modeling to identify distinct prenatal Hb trajectories. In total, 478 children (75.1% of eligible children) had assessment of cognitive and motor functions at 6 years of age. Three distinct Hb trajectories were identified: persistently anemic (Hb <110 g/L throughout the second and third trimesters), anemic to nonanemic (Hb <110 g/L at second trimester with increasing Hb toward the third trimester to Hb ≥110 g/L), and persistently nonanemic (Hb ≥110 g/L throughout the second and third trimesters). Children of women in the persistently anemic and anemic-to-nonanemic groups had significantly lower neurocognitive scores than children of women in the persistently nonanemic group (β = -6.8, 95% CI: -11.7 to -1.8; and β = -6.3, 95% CI: -10.4 to -2.2, respectively). The study shows that maintaining an elevation of Hb at or above 110 g/L from the second to third trimester of pregnancy may be associated with optimal long-term child neurocognitive function.

Microglial PCGF1 alleviates neuroinflammation associated depressive behavior in adolescent mice

Epigenetics plays a crucial role in regulating gene expression during adolescent brain maturation. In adolescents with depression, microglia-mediated chronic neuroinflammation may contribute to the activation of cellular signaling cascades and cause central synapse loss. However, the exact mechanisms underlying the epigenetic regulation of neuroinflammation leading to adolescent depression remain unclear. In this study, we found that the expression of polycomb group 1 (PCGF1), an important epigenetic regulator, was decreased both in the plasma of adolescent major depressive disorder (MDD) patients and in the microglia of adolescent mice in a mouse model of depression. We demonstrated that PCGF1 alleviates neuroinflammation mediated by microglia in vivo and in vitro, reducing neuronal damage and improving depression-like behavior in adolescent mice. Mechanistically, PCGF1 inhibits the transcription of MMP10 by upregulating RING1B/H2AK119ub and EZH2/H3K27me3 in the MMP10 promoter region, specifically inhibiting microglia-mediated neuroinflammation. These results provide valuable insights into the pathogenesis of adolescent depression, highlighting potential links between histone modifications, neuroinflammation and nerve damage. Potential mechanisms of microglial PCGF1 regulates depression-like behavior in adolescent mice. Microglial PCGF1 inhibits NF-κB/MAPK pathway activation through regulation of RING1B/H2AK119ub and EZH2/H3K27me3 in the MMP10 promoter region, which attenuates neuroinflammation and ameliorates depression-like behaviors in adolescent mice.

Electromagnetic radiation and biophoton emission in neuronal communication and neurodegenerative diseases

The intersection of electromagnetic radiation and neuronal communication, focusing on the potential role of biophoton emission in brain function and neurodegenerative diseases is an emerging research area. Traditionally, it is believed that neurons encode and communicate information via electrochemical impulses, generating electromagnetic fields detectable by EEG and MEG. Recent discoveries indicate that neurons may also emit biophotons, suggesting an additional communication channel alongside the regular synaptic interactions. This dual signaling system is analyzed for its potential in synchronizing neuronal activity and improving information transfer, with implications for brain-like computing systems. The clinical relevance is explored through the lens of neurodegenerative diseases and intrinsically disordered proteins, where oxidative stress may alter biophoton emission, offering clues for pathological conditions, such as Alzheimer's and Parkinson's diseases. The potential therapeutic use of Low-Level Laser Therapy (LLLT) is also examined for its ability to modulate biophoton activity and mitigate oxidative stress, presenting new opportunities for treatment. Here, we invite further exploration into the intricate roles the electromagnetic phenomena play in brain function, potentially leading to breakthroughs in computational neuroscience and medical therapies for neurodegenerative diseases.

Reduction of Prostate Cancer Risk: Role of Frequent Ejaculation-Associated Mechanisms

Prostate cancer (PCa) accounts for roughly 15% of diagnosed cancers among men, with disease incidence increasing worldwide. Age, family history and ethnicity, diet, physical activity, and chemoprevention all play a role in reducing PCa risk. The prostate is an exocrine gland that is characterized by its multi-functionality, being involved in reproductive aspects such as male ejaculation and orgasmic ecstasy, as well as playing key roles in the regulation of local and systemic concentrations of 5α-dihydrotestosterone. The increase in androgen receptors at the ventral prostate is the first elevated response induced by copulation. The regulation of prostate growth and function is mediated by an androgen-dependent mechanism. Binding 5-DHT to androgen receptors (AR) results in the formation of a 5α-DHT:AR complex. The interaction of the 5α-DHT:AR complex with the specific DNA enhancer element of androgen-regulated genes leads to the regulation of androgen-specific target genes to maintain prostate homeostasis. Consequently, ejaculation may play a significant role in the reduction of PCa risk. Thus, frequent ejaculation in the absence of risky sexual behavior is a possible approach for the prevention of PCa. In this review, we provide an insight into possible mechanisms regulating the impact of frequent ejaculation on reducing PCa risk.

The impact of gestational age on executive function in infancy and early-to-middle childhood following preterm birth: a systematic review

Lower gestational age (GA) is a risk factor for cognitive and developmental concerns following preterm birth. However, its impact on executive function (EF) is unclear based on conflicting conclusions across the literature. Moreover, as children below 4 years have largely been neglected from previous reviews, the impact of GA on EF within this early developmental period remains unclear. Hence, this systematic review investigated the impact of GA on EF following preterm birth in infancy and early-to-middle childhood. PubMed, Web of Science, and PsycInfo were searched for articles investigating the impact of GA on EF (inhibition, working memory, shifting) in preterm-born (<37 week gestation) and term-born participants aged 0-10 years. Eighteen studies were included. Most of the studies (n = 10) found no significant association between EF and GA. However, several limitations hindered conclusions to be drawn about the strength of this interpretation. Examples include inconsistencies in the theoretical underpinnings and operationalisations of EF, discrepancies in the reporting and measurement of GA, recruitment biases, and a paucity of infant or longitudinal studies available. Consequently, these issues may have contributed to inconsistent or null findings, and they must be addressed in future research to better clarify the impact of GA on EF in preterm-born infants and children.

The Generalizability of Cortical Area Parcellations Across Early Childhood

The cerebral cortex consists of distinct areas that develop through intrinsic embryonic patterning and postnatal experiences. Accurate parcellation of these areas in neuroimaging studies improves statistical power and cross-study comparability. Given significant brain changes in volume, microstructure, and connectivity during early life, we hypothesized that cortical areas in 1- to 3-year-olds would differ markedly from neonates and increasingly resemble adult patterns as development progresses. Here, we parcellated the cerebral cortex into putative areas using local functional connectivity gradients in 92 toddlers at 2 years old. We demonstrate high reproducibility of these cortical regions across 1- to 3-year-olds in two independent datasets. The area boundaries in 1- to 3-year-olds were more similar to those in adults than those in neonates. While the age-specific group area parcellation better fit the underlying functional connectivity in individuals during the first 3 years, adult area parcellations might still have some utility in developmental studies, especially in children older than 6 years. Additionally, we provide connectivity-based community assignments of the parcels, showing fragmented anterior and posterior components based on the strongest connectivity, yet alignment with adult systems when weaker connectivity was included.

The Triad of Blood-Brain Barrier Integrity: Endothelial Cells, Astrocytes, and Pericytes in Perinatal Stroke Pathophysiology

Pediatric stroke, a significant cause of long-term neurological deficits in children, often arises from disruptions within neurovascular unit (NVU) components. The NVU, a dynamic ensemble of astrocytes, endothelial cells, pericytes, and microglia, is vital for maintaining cerebral homeostasis and regulating vascular brain development. Its structural integrity, particularly at the blood-brain barrier (BBB), depends on intercellular junctions and the basement membrane, which together restrict paracellular transport and shield the brain from systemic insults. Dysfunction in this intricate system is increasingly linked to pediatric stroke and related cerebrovascular conditions. Mutations disrupting endothelial cell adhesion or pericyte-endothelial interactions can compromise BBB stability, leading to pathological outcomes such as intraventricular hemorrhage in the germinal matrix, a hallmark of vascular brain immaturity. Additionally, inflammation, ferroptosis, necroptosis, and autophagy are key cellular processes influencing brain damage and repair. Excessive activation of these mechanisms can exacerbate NVU injury, whereas targeted therapeutic modulation offers potential pathways to mitigate damage and support recovery. This review explores the cellular and molecular mechanisms underlying NVU dysfunction, BBB disruption, and subsequent brain injury in pediatric stroke. Understanding the interplay between genetic mutations, environmental stressors, and NVU dynamics provides new insights into stroke pathogenesis. The susceptibility of the germinal matrix to vascular rupture further emphasizes the critical role of NVU integrity in early brain development. Targeting inflammatory pathways and cell death mechanisms presents promising strategies to preserve NVU function and improve outcomes for affected neonates.

High-fat diet during lactation, as opposed to during adolescence or gestation, programs cardiometabolic and autonomic dysfunctions in adult offspring

The Developmental Origins of Health and Disease (DOHaD) concept has been established for three decades. Many studies have shown that, besides pregnancy, other plastic phases (mainly preconception, lactation, and infancy-adolescence) are also sensitive to environmental changes, including nutritional conditions, that can program health or disease later in life. This study compared the susceptibility of the gestation, lactation and adolescence to a high-fat diet (HFD) intervention to program rats into autonomic nervous system imbalance and cardiometabolic dysfunction in adulthood. Four groups of rats were studied: offspring from mothers exposed to a HFD (35% fat) or a standard chow diet (4.5% fat) during gestation (GEST and CONT groups, respectively), offspring from mothers exposed to the HFD during lactation (LAC), and adolescent rats exposed to the HFD (ADOL). Mothers treated during pregnancy exhibited a higher body mass, but nursing mothers presented the highest food energy intake and higher adiposity. Compared to the other groups, the LAC rats showed increased body mass gain, food energy intake, body fat, glucose intolerance and blood pressure. LAC group also showed increased parasympathetic activity. In contrast, LAC sympathetic nerve activity decreased compared with the other groups. The ADOL group exhibited mostly similar responses but of a smaller magnitude. This suggests that the lactation phase is the most sensitive to HFD programming for cardiometabolic dysfunction in adulthood and that early overnutrition may affect neural connections by altering the autonomic nervous system balance.

The Neonatal Microbiome: Implications for Amyotrophic Lateral Sclerosis and Other Neurodegenerations

Most brain development occurs in the "first 1000 days", a critical period from conception to a child's second birthday. Critical brain processes that occur during this time include synaptogenesis, myelination, neural pruning, and the formation of functioning neuronal circuits. Perturbations during the first 1000 days likely contribute to later-life neurodegenerative disease, including sporadic amyotrophic lateral sclerosis (ALS). Neurodevelopment is determined by many events, including the maturation and colonization of the infant microbiome and its metabolites, specifically neurotransmitters, immune modulators, vitamins, and short-chain fatty acids. Successful microbiome maturation and gut-brain axis function depend on maternal factors (stress and exposure to toxins during pregnancy), mode of delivery, quality of the postnatal environment, diet after weaning from breast milk, and nutritional deficiencies. While the neonatal microbiome is highly plastic, it remains prone to dysbiosis which, once established, may persist into adulthood, thereby inducing the development of chronic inflammation and abnormal excitatory/inhibitory balance, resulting in neural excitation. Both are recognized as key pathophysiological processes in the development of ALS.

Dynamics of infant white matter maturation from birth to 6 months

The first months after a baby's birth encompass the most rapid period of postnatal change in the human lifespan, but longitudinal trajectories of white matter maturation in this period remain uncharted. Using densely sampled diffusion tensor images collected longitudinally at a mean rate of 1 scan per 1.55 days, we measured non-linear growth and growth rate trajectories of major white matter tracts from birth to 6 months. Growth rates at birth were 6 to 11 times faster than at 6 months, with tracts less mature at birth developing fastest. When matched on chronological age, shorter gestation infants had less mature white matter at birth but faster growth rates than their longer gestation peers; however, growth trajectories were highly similar when corrected for gestational age. This is the first study to estimate white matter trajectories using dense sampling in the first 6 post-natal months, which can inform the study of neurodevelopmental disorders beginning in infancy.

Motor Functional Hierarchical Organization of Cerebrum and Its Underlying Genetic Architecture in Parkinson's Disease

Hierarchy has been identified as a principle underlying the organization of human brain networks. However, it remains unclear how the network hierarchy is disrupted in Parkinson's disease (PD) motor symptoms and how it is modulated by the underlying genetic architecture. The aim of this study was to explore alterations in the motor functional hierarchical organization of the cerebrum and their underlying genetic mechanism. In this study, the brain network hierarchy of each group was described through a connectome gradient analysis among 68 healthy controls (HC), 70 postural instability and gait difficulty (PIGD) subtype, and 69 tremor-dominant (TD) subtype, including both male and female participants, according to its motor symptoms. Furthermore, transcription-neuroimaging association analyses using gene expression data from Allen Human Brain Atlas and case-control gradient differences were performed to identify genes associated with gradient alterations. Different PD motor subtypes exhibited contracted principal and secondary functional gradients relative to HC. The identified genes in different PD motor subtypes enriched for shared biological processes like metal ion transport and inorganic ion transmembrane transport. In addition, these genes were overexpressed in Ntsr+ neurons cell, enriched in extensive cortical regions and wide developmental time windows. Aberrant cerebral functional gradients in PD-related motor symptoms have been detected, and the motor-disturbed genes have shared biological functions. The present findings may contribute to a more comprehensive understanding of the molecular mechanisms underlying hierarchical alterations in PD.

Dietary glycemic index and load during pregnancy and offspring behavioral outcomes: exploring sex differences

Given the importance of carbohydrates during pregnancy and the limited evidence on the impact of its excessive intake on offspring neurodevelopment, this study aimed to assess the associations between maternal glycemic index (GI) and glycemic load (GL) during early and late pregnancy and behavior problems in 4-year-old children, considering potential sex-related differences in susceptibility to maternal diet. This observational study included 188 mother-child pairs from the ECLIPSES study. GI and GL were estimated from a validated food frequency questionnaire. Offspring behavior was assessed using the Child Behavior Checklist 1.5-5. Multivariable linear and logistic regression analyses were employed to assess the association between GI, GL, and child behavior. Children of mothers in the highest tertile of GL during the first trimester of pregnancy showed elevated scores of both internalizing (β = 5.77; 95% CI, 2.28-9.26) and externalizing (β = 3.95; 95% CI, 0.70-7.19) problems, including anxiety and depression problems, withdrawn, attention problems, aggressive behavior, and attention-deficit/hyperactivity problems, as well as total (β = 5.24; 95% CI, 1.71-8.77) and autism spectrum problems (β = 3.30; 95% CI, 1.11-5.50). Similarly, higher odd ratios were observed for internalizing (OR = 2.37; 95% CI, 1.09-5.18), externalizing (OR = 3.46; 95% CI, 1.49-8.00), and total problems (OR = 3.83; 95% CI, 1.68-8.71). These associations were more pronounced in girls. No associations were observed during the third trimester. Regarding GI, no associations were found for the evaluated outcomes in any of the trimesters.

CONCLUSION

These findings indicated that elevated maternal GL during the early pregnancy, but not later stages, was associated with adverse behavioral outcomes in offspring.

TRIAL REGISTRATION

EUCTR-2012-005480-28, NCT03196882.

WHAT IS KNOWN

• Carbohydrate intake is important during pregnancy as glucose is the main energy source for an optimal fetal brain development. • Elevated prenatal glycemic index and glycemic load have been associated with adverse offspring outcomes but their impact on behavioral development remains insufficiently explored.

WHAT IS NEW

• A high maternal glycemic load during pregnancy may increase the risk of behavioral impairments in preschool-aged offspring. • Female offspring may be more vulnerable to behavioral disturbances to elevated maternal glycemic load during gestation.

Developmental Variations in Recurrent Spatiotemporal Brain Propagations from Childhood to Adulthood

The brain undergoes profound structural and functional transformations from childhood to adolescence. Convergent evidence suggests that neurodevelopment proceeds in a hierarchical manner, characterized by heterogeneous maturation patterns across brain regions and networks. However, the maturation of the intrinsic spatiotemporal propagations of brain activity remains largely unexplored. This study aims to bridge this gap by delineating spatiotemporal propagations from childhood to early adulthood. By leveraging a recently developed approach that captures time-lag dynamic propagations, we characterized intrinsic dynamic propagations along three axes: sensory-association (S-A), 'task-positive' to default networks (TP-D), and somatomotor-visual (SM-V) networks, which progress towards adult-like brain dynamics from childhood to early adulthood. Importantly, we demonstrated that as participants mature, there is a prolonged occurrence of the S-A and TP-D propagation states, indicating that they spend more time in these states. Conversely, the prevalence of SM-V propagation states declines during development. Notably, top-down propagations along the S-A axis exhibited an age-dependent increase in occurrence, serving as a superior predictor of cognitive scores compared to bottom-up S-A propagation. These findings were replicated across two independent cohorts (N = 677 in total), emphasizing the robustness and generalizability of these findings. Our results provide new insights into the emergence of adult-like functional dynamics during youth and their role in supporting cognition.

Deep brain stimulation of the hypothalamic region: a systematic review

BACKGROUND

Deep brain stimulation (DBS) has been successfully used for the treatment of circuitopathies including movement, anxiety, and behavioral disorders. The hypothalamus is a crucial integration center for many peripheral and central pathways relating to cardiovascular, metabolic, and behavioral functions and constitutes a potential target for neuromodulation in treatment-refractory conditions. To conduct a systematic review, investigating hypothalamic targets in DBS, their indications, and the primary clinical findings.

METHODS

PubMed, Scopus, and Web of Science databases were searched in accordance with the PRISMA guideline to identify papers published in English studying DBS of the hypothalamus in humans.

RESULTS

After screening 3,148 papers, 34 studies consisting of 412 patients published over two decades were included in the final review. Hypothalamic DBS was indicated in refractory headaches (n = 238, 57.8%), aggressive behavior (n = 100, 24.3%), mild Alzheimer's disease (n = 58, 14.1%), trigeminal neuralgia in multiple sclerosis (n = 5, 1.2%), Prader-Willi syndrome (n = 4, 0.97%), and atypical facial pain (n = 3, 0.73%). The posterior hypothalamus was the most common DBS target site across 30 studies (88.2%). 262 (63.6%) participants were males, and 110 (26.7%) were females. 303 (73.5%) patients were adults whereas 33 (8.0%) were pediatrics. The lowest mean age of participants was 15.25 ± 4.6 years for chronic refractory aggressiveness, and the highest was 68.5 ± 7.9 years in Alzheimer's disease patients. The mean duration of the disease ranged from 2.2 ± 1.7 (mild Alzheimer's disease) to 19.8 ± 10.1 years (refractory headaches). 213 (51.7%) patients across 29 studies (85.3%) reported symptom improvements which ranged from 23.1% to 100%. 25 (73.5%) studies reported complications, most of which were associated with higher voltage stimulations.

CONCLUSIONS

DBS of the hypothalamus is feasible in selected patients with various refractory conditions ranging from headaches to aggression in both pediatric and adult populations. Future large-scale studies with long-term follow-up are required to validate the safety and efficacy data and extend these findings.

The Concentration of Docosahexaenoic Acid (DHA) and Arachidonic Acid (AA) in Human Milk Is Associated With the Size of Maternal Social Network

INTRODUCTION

Social factors, such as kin and non-kin support in helping the mother of a newborn baby, impact the duration of lactation and may affect human milk composition. Recent studies suggest that maternal stress negatively affects the level of polyunsaturated fatty acids in human milk, which are crucial for infant vision and brain development. We suggest that social support may have the potential to attenuate a negative effect of stress on the composition of human milk fatty acids.

METHODS

We studied 129 exclusively breastfeeding mothers and their healthy, term infants to explore the relationship between support from significant others (structural and functional) and the concentration of docosahexaenoic acid (DHA, N = 49) and arachidonic acid (AA, N = 129) in human milk. We also examined whether maternal stress reactivity (log Cort. AUC) may be related to these fatty acids. Gas chromatography was used to analyze the concentration of DHA and AA in human milk samples.

RESULTS

Analyses revealed a positive association between the number of helpers (structural support) and the concentration of DHA and AA. Maternal stress reactivity was not a statistically significant predictor of DHA and AA contents in milk and was unrelated to the number of helpers.

CONCLUSION

Our results show for the first time that human milk composition, particularly DHA and AA concentrations, may be associated with the size of mothers' immediate social network of kin and non-kin helpers. This result is consistent with evolutionary studies that emphasize the role of cooperative breeding in human reproduction.

A Scoping Review of the Mechanisms Underlying Developmental Anesthetic Neurotoxicity

Although anesthesia makes painful or uncomfortable diagnostic and interventional health care procedures tolerable, it may also disrupt key cellular processes in neurons and glia, harm the developing brain, and thereby impair cognition and behavior in children. Many years of studies using in vitro, animal behavioral, retrospective database studies in humans, and several prospective clinical trials in humans have been invaluable in discerning the potential toxicity of anesthetics. The objective of this scoping review was to synthetize the evidence from preclinical studies for various mechanisms of toxicity across diverse experimental designs and relate their findings to those of recent clinical trials in real-world settings.

Heat wave exposure during pregnancy and neurodevelopmental delay in young children: A birth cohort study

INTRODUCTION

Gestation is a critical period for fetal brain development, and extreme heat exposure during this stage may have adverse impact on neurodevelopment in children. However, current evidence is scarce.

METHODS

We examined the associations between maternal exposure to heat wave during pregnancy and neurodevelopmental delay in young children in a birth cohort study of 67,453 child-mother pairs from Foshan, China. Specifically, temperature data (spatial resolution: 0.0625° × 0.0625°) were assigned to study participants based on residential addresses. Then, heat wave events were defined by combining the intensity (temperature thresholds: ≥90th, 92.5th or 95th percentile) and duration (number of consecutive days: 2, 3 or 4 days). Neurodevelopmental status was assessed using a five-domain scale by trained medical professionals. Logistic regression was used to investigate the associations between gestational heat wave exposure and neurodevelopmental delay in children.

RESULTS

We found that exposure to heat wave during early and late pregnancy was associated with increased risks of neurodevelopmental delay in children. By contrast, the results for mid-pregnancy heat wave exposure were mixed. The observed associations remained stable in a group of sensitivity analyses.

CONCLUSIONS

Our study adds some suggestive evidence that prenatal exposure to heat wave may have detrimental impact on children's neurodevelopment. More investigations are needed to verify our findings.

A case of severe TBI: Recovery?

Chronic stage neuropsychological assessments of children with severe TBI typically center around a referral question and focus on assessing cognitive, behavioral, and emotional functioning, making differential diagnoses, and planning treatment. When severe TBI-related neurological deficits are subtle and fall outside commonly assessed behavioral indicators, as can happen with theory of mind and social information processing, they can go unobserved and subsequently fail to be assessed. Additionally, should chronic stage cognitive, behavioral, and emotional assessment findings fall within the average to above average range, a child experiencing ongoing significant unassessed severe TBI-related subtle deficits could be mistakenly judged to have "recovered" from their injury; and to be experiencing no significant ongoing residual neurological deficits. To illustrate how this could happen, and how subacute neuroimaging and brain network theory might be early indicators of emergent chronic stage neuropsychological deficits, we present a child with a severe TBI and average to above average cognitive, behavioral, and emotional assessment findings who has comorbid significant deficits in theory of mind and social functioning.

Spatial Heterogeneity and Subtypes of Functional Connectivity Development in Youth

The brain functional connectome development is fundamental to neurocognitive growth in youth. While brain age prediction has been widely used to assess connectome development at the individual level, traditional approaches providing a global index overlook the spatial variability and inter-individual heterogeneity of functional connectivity (FC) development across the cortex. In this study, we introduced a regional brain development index to assess spatially fine-grained FC development. We examined the spatial variability of FC development and stratified individuals into subtypes with distinct patterns of spatial heterogeneity in region-wise FC development across the cortex through clustering. An evaluation conducted on a sample of youths aged 8-23 years using fMRI data from the Philadelphia Neurodevelopmental Cohort (PNC) revealed three distinct FC development subtypes. Individuals with advanced FC development aligned with the hierarchical brain organization along the sensorimotor-association (S-A) axis demonstrated superior cognitive performance compared to those with other patterns. These patterns were replicated in the Human Connectome Project Development (HCP-D) cohort, confirming their robustness. Further analysis revealed associations between FC development and gene expression, with enriched genes linked to neural differentiation, synaptogenesis, and myelination. These findings suggest that spatial heterogeneity in FC development reflects underlying cortical microstructure and hierarchical cortical organization, underscoring its critical role in understanding neurocognitive maturation and individual variability during youth.

Stress generation and subsequent repetitive negative thinking link poor executive functioning and depression

BACKGROUND AND OBJECTIVE

Poor executive functioning (EF) has been consistently linked to depression, but questions remain regarding mechanisms driving this association. The current study tested whether poor EF is linked to depression symptoms six weeks later via dependent stressors (model 1) and stressors perceived to be uncontrollable (model 2) at week two (W2) and repetitive negative thinking (RNT) at W4 during early COVID-19 in college students.

DESIGN

This was a longitudinal study with four timepoints spanning six weeks (April-June 2020).

METHODS

Participants (N = 154) completed online questionnaires measuring EF, dependent stress frequency, stress controllability appraisals, brooding rumination, worry, and depression.

RESULTS

Supporting model 1, poorer baseline EF predicted higher dependent stress frequency at W2; W2 dependent stress frequency, in turn, predicted increases in W4 RNT, which predicted increases in W6 depression. Model 2 was not supported: Baseline EF did not predict W2 perceived stress uncontrollability, which did not predict W4 RNT; however, W4 RNT predicted increases in W6 depression.

LIMITATIONS

The sample was relatively small and EF was measured using only self-reports.

CONCLUSIONS

Findings supported a model in which poor EF conferred risk for depression via dependent stress and subsequent RNT, highlighting these processes as risk mechanisms for depression.

Associations of Maternal Prenatal Zinc Consumption with Infant Brain Tissue Organization and Neurodevelopmental Outcomes

BACKGROUND/OBJECTIVES

While studies in rat pups suggest that early zinc exposure is critical for optimal brain structure and function, associations of prenatal zinc intake with measures of brain development in infants are unknown. This study aimed to assess the associations of maternal zinc intake during pregnancy with MRI measures of brain tissue microstructure and neurodevelopmental outcomes, as well as to determine whether MRI measures of the brain mediated the relationship between maternal zinc intake and neurodevelopmental indices.

METHODS

Forty-one adolescent mothers were recruited for a longitudinal study during pregnancy. Maternal zinc intake was assessed during the third trimester of pregnancy using a 24 h dietary recall. Infant MRI scans were acquired at 3 weeks postpartum using a 3.0 Tesla scanner to measure fractional anisotropy (FA) and mean diffusivity (MD). Cognitive, language, and motor skills were assessed at 4, 14, and 24 months postpartum using the Bayley Scales of Infant Development.

RESULTS

Greater prenatal zinc intake was associated with reduced FA in cortical gray matter, particularly in the frontal lobe [medial superior frontal gyrus; β (95% CI) = -1.0 (-1.5, -0.5)], in developing white matter, and in subcortical gray matter nuclei. Greater prenatal zinc intake was associated with reduced MD in cortical gray matter and developing white matter [superior longitudinal fasciculus; -4.4 (-7.1, -1.7)]. Greater maternal zinc intake also was associated with higher cognitive development scores at 14 [0.1 (0.0, 0.1)] and 24 [0.1 (0.0, 0.2)] months of age; MRI indices of FA and MD did not mediate this relationship.

CONCLUSIONS

Maternal prenatal zinc intake was associated with more favorable measures of brain tissue microstructural maturation and cognitive development during infancy.

Maternal Glycemia and Its Pattern Associated with Offspring Neurobehavioral Development: A Chinese Birth Cohort Study

BACKGROUND/OBJECTIVES

This study investigates the impact of maternal glycemic levels during early and late pregnancy on offspring neurodevelopment in China.

METHODS

Fasting plasma glucose (FPG) and triglyceride (TG) levels were measured in maternal blood during pregnancy, and the TyG index was calculated to assess insulin resistance. Hyperglycemia was defined as FPG > 5.1 mmol/L. Neurodevelopmental outcomes in offspring aged 6-36 months were evaluated using the China Developmental Scale for Children, focusing on developmental delay (DD) and developmental quotient (DQ). Mothers were categorized into four glycemic groups: healthy glycemia group (HGG), early pregnancy hyperglycemia group (EHG), late pregnancy hyperglycemia group (LHG), and full-term hyperglycemia group (FHG). Linear and logistic regression models were applied.

RESULTS

Among 1888 mother-child pairs, hyperglycemia and FPG were associated with an increased risk of overall DD (aOR = 1.68; 95% CI 1.07-2.64) and lower DQ (aBeta = -1.53; 95% CI -2.70 to -0.36). Elevated FPG was linked to DD in fine motor and social behaviors. Compared to HGG, LHG and FHG significantly increased the risk of overall DD (aOR = 2.18; 95% CI 1.26-3.77; aOR = 2.64; 95% CI 1.38-5.05), whereas EHG did not. Male offspring were particularly vulnerable to early pregnancy hyperglycemia (aBeta = -2.80; 95% CI -4.36 to -1.34; aOR = 2.05; 95% CI 1.10-3.80).

CONCLUSIONS

Maternal glycemic levels during pregnancy influence offspring neurodevelopment, with persistent hyperglycemia significantly increasing DD risk. Early pregnancy hyperglycemia particularly affects male offspring, underscoring the need for glycemic management during pregnancy.

Maternal Omega-6/Omega-3 Concentration Ratio During Pregnancy and Infant Neurodevelopment: The ECLIPSES Study

BACKGROUND

The balance of omega-6/omega-3 (n-6/n-3) is crucial for proper brain function as they have opposite physiological roles.

OBJECTIVES

To analyze the association between maternal serum ratios of n-6/n-3 in the first and third trimesters of pregnancy and the neurodevelopment of their children in the early days after birth in the population of Northern Spain's Mediterranean region.

METHODS

Longitudinal study in which 336 mother-child pairs participated. Mother serum concentrations of long-chain polyunsaturated fatty acids (LCPUFAs), docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), and arachidonic acid (ARA) were determined. Sociodemographic, clinical, lifestyle habits, and obstetrical variables were collected. The Bayley Scales of Infant and Toddler Development (BSID-III) was used to assess infant neurodevelopment. Multiple linear regression models adjusting for confounding factors were performed.

RESULTS

In the third trimester, a higher maternal n-6/n-3 ratio was negatively associated with infant motor development (β = -0.124, p = 0.023). Similarly, higher ARA/DHA ratios were negatively associated with total motor (β = -2.005, p = 0.002) and fine motor development (β = -0.389, p = 0.001). No significant associations were observed in the first trimester nor for the ARA/EPA ratio in the third trimester.

CONCLUSIONS

Our findings indicate that an elevated n-6/n-3 ratio and ARA/DHA ratio in the third trimester of pregnancy are associated with poorer motor development outcomes in infants. These results highlight the importance of optimizing maternal fatty acid balance during pregnancy to support fetal neurodevelopment, suggesting a need for further research to verify these associations and elucidate underlying mechanisms.

Aerobic Exercise Training for the Aging Brain: Effective Dosing and Vascular Mechanism

This article presents evidence supporting the hypothesis that starting aerobic exercise in early adulthood and continuing it throughout life leads to significant neurocognitive benefits compared with starting exercise later in life. Regular aerobic exercise at moderate-to-vigorous intensity during midlife is associated with significant improvement in cardiorespiratory fitness, which may create a favorable brain microenvironment promoting neuroplasticity through enhanced vascular function.

Gestational Duration and Postnatal Age-Related Changes in Aperiodic and Periodic Parameters in Neonatal and Toddler Electroencephalogram (EEG)

The brain develops most rapidly during pregnancy and early neonatal months. While prior electrophysiological studies have shown that aperiodic brain activity undergoes changes across infancy to adulthood, the role of gestational duration in aperiodic and periodic activity remains unknown. In this study, we aimed to bridge this gap by examining the associations between gestational duration and aperiodic and periodic activity in the EEG power spectrum in both neonates and toddlers. This cross-sectional study involved EEG data from 73 neonates (postnatal age 1-5 days, 40 females) and 56 toddlers (postnatal age of 2.9-3.2 years, 28 females) from the FinnBrain Birth Cohort Study. EEG power spectra were parameterized to aperiodic and periodic components using the SpecParam tool. We tested the associations between gestational duration as well as postnatal age and SpecParam parameters in neonates and toddlers while including birth weight and child sex as covariates. For neonates, multilevel models were employed, considering different data acquisitions (sleep and auditory paradigm + sleep), while in toddlers, regression models were used as only data from the auditory paradigm was available. We found that longer gestational duration was associated with a steeper power spectrum across EEG frequencies both in neonates and toddlers. Effect was especially strong in toddlers (β = 0.45, p = 0.004), while in neonates, it remained nearly statistically significant (p = 0.061). In neonates, a quadratic association between gestational duration and beta center frequency (12.5-30 Hz) was found. In toddlers, beta center frequencies were overall higher in females compared to males. Offset (calculated as the power of the aperiodic curve at 2.5 Hz) and theta center frequency had negative associations with postnatal age in neonates, but not in toddlers. Our results suggest that gestational duration may have significant and relatively long-lasting effects on brain physiology. The possible behavioral and cognitive consequences of these changes are enticing topics for future research.

EEG-based brain age prediction in infants-toddlers: Implications for early detection of neurodevelopmental disorders

The infant brain undergoes rapid developmental changes in the first three years of life. Understanding these changes through the prediction of chronological age using neuroimaging can provide insights into typical and atypical brain development. We utilized 938 resting-state EEG recordings from 457 typically developing infants, 2 to 38 months old, to develop age prediction models. The multilayer perceptron model demonstrated the highest accuracy with an R2 of 0.83 and a mean absolute error of 91.7 days. Feature importance analysis that combined hierarchical clustering and Shapley values identified two feature clusters describing periodic alpha and low beta activity as key predictors of age. Application of the model to EEG data from infants later diagnosed with autism or Down syndrome revealed significant underestimations of chronological age, supporting its potential as a clinical tool for early identification of alterations in brain development.

Neural reshaping: the plasticity of human brain and artificial intelligence in the learning process

This study explores the concept of neural reshaping and the mechanisms through which both human and artificial intelligence adapt and learn.

OBJECTIVES

To investigate the parallels and distinctions between human brain plasticity and artificial neural network plasticity, with a focus on their learning processes.

METHODS

A comparative analysis was conducted using literature reviews and machine learning experiments, specifically employing a multi-layer perceptron neural network to examine regression and classification problems.

RESULTS

Experimental findings demonstrate that machine learning models, similar to human neuroplasticity, enhance performance through iterative learning and optimization, drawing parallels in strengthening and adjusting connections.

CONCLUSIONS

Understanding the shared principles and limitations of neural and artificial plasticity can drive advancements in AI design and cognitive neuroscience, paving the way for future interdisciplinary innovations.

Chronic Inflammation Offers Hints About Viable Therapeutic Targets for Preeclampsia and Potentially Related Offspring Sequelae

The combination of hypertension with systemic inflammation during pregnancy is a hallmark of preeclampsia, but both processes also convey dynamic information about its antecedents and correlates (e.g., fetal growth restriction) and potentially related offspring sequelae. Causal inferences are further complicated by the increasingly frequent overlap of preeclampsia, fetal growth restriction, and multiple indicators of acute and chronic inflammation, with decreased gestational length and its correlates (e.g., social vulnerability). This complexity prompted our group to summarize information from mechanistic studies, integrated with key clinical evidence, to discuss the possibility that sustained or intermittent systemic inflammation-related phenomena offer hints about viable therapeutic targets, not only for the prevention of preeclampsia, but also the neurobehavioral and other developmental deficits that appear to be overrepresented in surviving offspring. Importantly, we feel that carefully designed hypothesis-driven observational studies are necessary if we are to translate the mechanistic evidence into child health benefits, namely because multiple pregnancy disorders might contribute to heightened risks of neuroinflammation, arrested brain development, or dysconnectivity in survivors who exhibit developmental problems later in life.

Investigating Task-Free Functional Connectivity Patterns in Newborns Using Functional Near-Infrared Spectroscopy

BACKGROUND

Resting-state networks (RSNs), particularly the sensorimotor network, begin to strengthe in the third trimester of pregnancy and mature extensively by term age. The integrity and structure of these networks have been repeatedly linked to neurological health outcomes in neonates, highlighting the importance of understanding the normative variations in RSNs in healthy development. Specifically, robust bilateral functional connectivity in the sensorimotor RSN has been linked to optimal neurodevelopmental outcomes in neonates.

AIM

In the current study, we aimed to map the developmental trajectory of the sensorimotor RSN in awake neonates using functional near-infrared spectroscopy (fNIRS).

MATERIALS & METHODS

We acquired fNIRS resting-state data from 41 healthy newborns (17 females, gestational age ranging from 36 + 0 to 42 + 1 weeks) within the first week after birth. We performed both single channel and hemispheric analyses to investigate the relationship between functional connectivity and both gestational and postnatal age.

RESULTS

We observed robust positive connectivity in numerous channel-pairs across the sensorimotor network, especially in the left hemisphere. Next, we examined the relationship between functional connectivity, gestational age, and postnatal age, while controlling for sex and subject effects. We found both gestational and postnatal age to be significantly associated with changes in functional connectivity in the sensorimotor RSN. In our hemispheric analysis (Ninterhemispheric = 10, Nleft intrahemispheric = 15, and Nright intrahemispheric = 9), we observed a significant positive relationship between interhemispheric connectivity and postnatal age.

DISCUSSION AND CONCLUSION

In summary, our findings demonstrate the utility of fNIRS for monitoring early developmental changes in functional networks in awake newborns.

The importance of sleep for the developing brain

Purpose of review

This paper summarizes recent research regarding the possible contribution of sleep to brain development. Major milestones in brain development and the methods used to track these changes are reviewed. Changes in sleep, at both behavioral and neural levels, that take place during the same developmental periods are discussed. Finally, a few empirical examples that have contributed new knowledge regarding how sleep contributes to brain development are highlighted.

Recent findings

Empirical examples demonstrating associations between development of sleep and the brain include: predictive associations between SWA topography and myelin development, associations between SWS and hippocampal development, and links between sleep duration and both white matter volume and whole-brain functional connectivity in developing populations.

Summary

There is evidence that sleep is important for the developing brain. However, studies utilizing longitudinal, objective measures of sleep, high-resolution brain imaging, and behavioral measures across developmental are critical for understanding sleep function.

Insights into the Chemical Exposome during Pregnancy: A Non-Targeted Analysis of Preterm and Term Births

Human-made chemicals are ubiquitous, leading to chronic exposure to complex mixtures of potentially harmful substances. We investigated chemical exposures in pregnant women in New York City by applying a non-targeted analysis (NTA) workflow to 95 paired prenatal urine and serum samples (35 pairs of preterm birth) collected as part of the New York University Children's Health and Environment Study. We analyzed all samples using liquid chromatography coupled with Orbitrap high-resolution mass spectrometry in both positive and negative electrospray ionization modes, employing full scan and data-dependent MS/MS fragmentation scans. We detected a total of 1524 chemical features for annotation, with 12 chemicals confirmed by authentic standards. Two confirmed chemicals dodecyltrimethylammonium and N,N-dimethyldecylamine N-oxide appear to not have been previously reported in human blood samples. We observed a statistically significant differential enrichment between urine and serum samples, as well as between preterm and term birth (p < 0.0001) in serum samples. When comparing between preterm and term births, an exogenous contaminant, 1,4-cyclohexanedicarboxylic acid (tentative), showed a statistical significance difference (p = 0.003) with more abundance in preterm birth in serum. An example of chemical associations (12 associations in total) observed was between surfactants (tertiary amines) and endogenous metabolites (fatty acid amides).