Behavior Of Trajectories Research Articles

Long‐term characterization of behavior phenotypes in children with seizures: Analytic approach matters

AbstractObjectiveBehavioral problems in children with new onset epilepsies have been well established in the literature. More recently, the literature indicates the presence of unique behavioral patterns or phenotypes in youth with epilepsy that vary significantly in vulnerability and resilience to behavioral problems. This study contrasts the interpretation of behavioral risk as inferred from cross‐sectional versus latent group analytic perspectives, as well as the presence, consistency, stability, and progression of behavioral phenotypes in youth with new onset epilepsy and sibling controls over 3 years.MethodsThree hundred twelve participants (6–16 years old) were recruited within 6 weeks of their first recognized seizure along with 223 unaffected siblings. Each child's behavior was recorded by parents and teachers frequently over 36 months using the Child Behavior Checklist (CBCL), and each child completed self‐report measures of depression symptoms over 36 months. Measures were evaluated cross‐sectionally and longitudinally to identify clusters with prototypical behavioral trajectories.ResultsCross‐sectional analyses exhibited a pattern of generalized and undifferentiated behavioral problems compared to sibling controls at baseline and prospectively. In contrast, latent trajectory modeling identified three distinct behavior phenotype clusters across all raters (parents, teachers, and youth) over baseline and longitudinal assessments. CBCL Cluster 1 (~30% of youth with epilepsy) exhibited behavior similar to/better than controls, Cluster 2 (~50%) exhibited moderate behavior issues, and Cluster 3 (~20%) exhibited the most pronounced/problematic behavior, falling into Achenbach's clinically relevant behavior range. Behavior within clusters remained stable and consistent. Teachers' and children's behavior assessments corresponded to these cluster groupings consistently over 36 months. Predictors of cluster membership include seizure syndrome type and social determinants of health.SignificanceThis study demonstrates the varying public health perspectives of behavioral risk in youth with epilepsy that result as a function of analytic approach as well as the presence of distinct latent behavioral trajectory phenotypes over time in youth with new onset epilepsy.

Symptom Shifting From Nonsuicidal Self-Injury to Substance Use and Borderline Personality Pathology

A decline in nonsuicidal self-injury (NSSI) behavior is often viewed as an indication of mental health improvement when treating adolescents and young adults with borderline personality pathology. However, evidence shows that an initial decrease in NSSI behavior does not always signal recovery, and potential symptom shifting needs to be considered. To examine the codevelopment of NSSI and substance use in adolescents and young adults receiving treatment for NSSI behavior and to explore whether shifting from NSSI behavior to substance use is associated with emerging or persistent borderline personality pathology. This cohort study used data from the AtR!Sk study. The study included a consecutive sample of adolescents and young adults with NSSI behavior who presented to a specialized outpatient clinic for early intervention of borderline personality pathology. A baseline assessment (between May 3, 2016, and December 19, 2019) and 2 annual follow-up assessments were conducted. Data were analyzed from April 15, 2023, to September 5, 2024. The frequencies of NSSI behavior and substance use were self-reported. Diagnostic interviews were carried out to assess borderline personality pathology. Growth mixture models were specified to identify latent classes with different joint trajectories of NSSI behavior and substance use, and the classes were compared for the number of fulfilled borderline personality disorder (BPD) diagnostic criteria. Overall, 277 adolescents and young adults (249 [89.9%] female; mean [SD] age at baseline, 14.9 [1.5] years) were included in the study (number at first follow-up, 135; number at second follow-up, 82). Three latent classes were extracted from the data. A decline in NSSI behavior following treatment was common. Class 1 (estimated class count: 32.5; 11.7% of participants) was further characterized by a decline in substance use; class 2 (210.1; 75.9% of participants), by a moderate increase in substance use; and class 3 (34.4; 12.4% of participants), by a strong increase in substance use. The number of fulfilled BPD diagnostic criteria in class 1 (mean [SE], 4.64 [0.40]; comparison: χ2, 11.64; P < .001) and class 3 (mean [SE], 4.29 [0.41]; comparison: χ2, 5.98; P = .01) was greater than that in class 2 (mean [SE], 3.18 [0.15]) at baseline. The number of fulfilled BPD criteria remained high at the second follow-up assessment in class 3 (mean [SE], 5.15 [0.84]) but not in class 1 (mean [SE], 2.05 [0.54]). In this cohort study of adolescent patients with NSSI behavior, a decline in this behavior was commonly paired with an increase in substance use. This finding suggests that a decrease in NSSI behavior alone may be insufficient to indicate treatment success. Monitoring the joint trajectories of NSSI behavior and substance use may be a promising avenue toward early detection and targeted treatment of adolescent borderline personality pathology.

Key point trajectory prediction method of human stochastic posture falls

ABSTRACT The human body will show very complex and diversified posture changes in the process of falling, including body posture, limb position, angle and movement trajectory, etc. The coordinates of the key points of the model are mapped to the three-dimensional space to form a three-dimensional model and obtain the three-dimensional coordinates of the key points; The construction decomposition method is used to calculate the rotation matrix of each key point, and the rotation matrix is solved to obtain the angular displacement data of the key points on different degrees of freedom. The method of curve fitting combined with the weight distribution kernel function based on self-organizing mapping theory is used to obtain the motion trajectory prediction equation of the human body falling in different degrees of freedom at random positions in three-dimensional space, determine the key point trajectory of human random fall behaviour. The experimental results show that the mapped 3D model is consistent with the real human body structure. This method can accurately determine whether the human body falls or squats randomly, and the prediction results of the key points of the human fall are consistent with the actions of the human body after the fall.

Multimodal investigation of dynamic brain network alterations in autism spectrum disorder: Linking connectivity dynamics to symptoms and developmental trajectories

BackgroundAutism spectrum disorder (ASD) has been associated with disrupted brain connectivity, yet a comprehensive understanding of the dynamic neural underpinnings remains lacking. This study employed concurrent electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) techniques to investigate dynamic functional connectivity (dFC) patterns and neurovascular characteristics in children with ASD. We also explored associations between neurovascular characteristics and the developmental trajectory of adaptive behavior in individuals with ASD. MethodsResting-state EEG and fNIRS data were simultaneously recorded from 58 ASD and 63 TD children. We implemented a k-means clustering approach to extract the dFC states for each modality. In addition, a multimodal covariance network (MCN) was constructed from the EEG and fNIRS dFC features to capture the neurovascular characteristics linked to ASD. ResultsEEG analyses revealed atypical properties of dFC states in the beta and gamma bands in children with ASD compared to TD children. For fNIRS, the ASD group exhibited atypical properties of dFC states such as duration and transitions relative to the TD group. The MCN analysis revealed significantly suppressed functional covariance between right superior temporal and left Broca's areas, alongside enhanced right dorsolateral prefrontal-left Broca covariance in ASD. Notably, we found that early neurovascular characteristics can predict the developmental progress of adaptive functioning in ASD. ConclusionThe multimodal investigation revealed distinct dFC patterns and neurovascular characteristics associated with ASD, elucidating potential neural mechanisms underlying core symptoms and their developmental trajectories. Our study highlights that integrating complementary neuroimaging modalities may aid in unraveling the complex neurobiology of ASD.

Exploring Sound Frequency Detection in the Golden Rabbitfish, Siganus guttatus: A Behavioral Study.

This study investigates the auditory capabilities of Golden Rabbitfish (Siganus guttatus) and the potential efficacy of sound-based deterrent methods for behavior control. Behavioral experiments were conducted on Golden Rabbitfish to assess their responses to sound stimuli. Sinusoidal pulses in the range of 100~800 Hz, based on previous research on auditory evoked potentials (AEPs), were utilized. An analysis of behavioral trajectories, swimming speed, and acceleration changes revealed the fish's reactions to varying frequency sound stimuli. The results indicate that Golden Rabbitfish exhibited increased swimming activity and speed when stimulated by sound and notably moved away from the source under prolonged exposure to low-frequency acoustic signals. Specifically, the fish displayed the most significant response to 200 Hz sinusoidal pulses with a response threshold of 113~126 dB. These findings suggest that Golden Rabbitfish are particularly sensitive to low-frequency noise, aligning with AEP study outcomes. This study concludes that employing sound stimuli to deter Golden Rabbitfish in practical settings holds promise for mitigating economic losses in seaweed farming due to Golden Rabbitfish grazing.

Historical Geographical Information System (HGIS): social trajectories of two Chinese historical figures Su Shi and Zuo Zongtang in spatial context

Historical figures have important significance worldwide. This paper introduces the concept of historical Geographical Information System (HGIS) using the lives of two personalities from Chinese history as case studies: Su Shi, a literary figure of the Northern Song Dynasty, and Zuo Zongtang, a military strategist from the late Qing era. By studying the geographical points marking their life activities, their migratory patterns were explored, along with the dynamics of their social networks within time and space, examining the distinctive phases and characteristics of their individual journeys. Kernel density estimation, standard deviation ellipse, location-based distance analysis, and social network graphs were employed in this work. Our findings reveal that Su Shi’s migrations were largely dictated by official appointments, ultimately rooted in imperial successions and factional strife, with his intellectual pursuits significantly influenced by the humanistic milieu. Conversely, Zuo Zongtang’s migrations were predominantly shaped by war, reflecting the challenges of the late Qing era in relation to governance, sovereignty, and diplomacy. The military encampments selected by Zuo Zongtang tended to be situated near water sources, illustrating how his migratory trajectory was influenced by natural geographic conditions. The social circles of these figures are tied to their social and political stature. Through the socio-historic context, the characteristics of these historical figures’ behavioral trajectories relate to the unfolding process of societal and historical development. These insights offer a glimpse into the life journey behind historical figures, implicitly highlighting their perseverance and resilience in adversity, thereby describing innovative approaches to inheriting and disseminating the cultural legacy.

Early developmental anomalies in zebrafish (Danio rerio) embryos induced by the Clematis florida Thunb.

Ethnopharmacological relevanceThe C.florida. is one of the common medicines used by She population in China, with therapeutic effects of promoting blood circulation and anti-inflammatory. According to the acute toxicity grading standard of chemical substances, this herb is a low-toxicity herb. At present, the safety of C.florida., especially its impact on early embryonic development, is still unclear. Aim of the studyThis study investigated the toxic effects of C. florida. on early embryonic development using a zebrafish embryo model. Materials and methodsIn this study, we used zebrafish embryos exposed to C.florida. at early stage to assess the early developmental toxicity by analyzing the developmental toxicity phenotype, oxidative stress, cell apoptosis, total enzyme activity, behavioral trajectory, and gene expression levels. ResultsEmbryos of the zebrafish exposed to different concentrations of C.florida. exhibited multiple organs and systems developmental disorders, including the heart, vessels, brain, bone, liver, and so on. Especially, with the increase of drug concentration, it is observed that the developmental malformations of the cardiovascular structure and function in larvae are becoming increasingly severe. In addition, results show that the abnormalities in embryonic development may be attributed to oxidative stress induced by apoptosis and activation of immune system resulting from an imbalance in the hematopoietic system. ConclusionsThis study provides a comprehensive and detailed summary of the toxic effects of C.florida. on embryonic development, which contributes to a deeper understanding of the potential adverse developmental consequences, and also prompt people to pay considerable attention to its treatment in medicinal practice.

MAKNA TANDA KOMUNIKASI INTERPERSONAL AYAH DAN ANAK PADA FILM NANNY MCPHEE: SEMIOTIKA ROLAND BARTHES

Recognizing film as a potent medium of expression, the research underscores the profound impact of visual and auditory storytelling in conveying intricate messages through language used. Through the lens of Roland Barthes semiotic theory, this research endeavors to unravel the complexities embedded within familial communication, especially using informal language. Drawing upon theories of mass communication, media studies, and interpersonal dynamics, the qualitative methodology employed in this study entails a meticulous examination of 20 pivotal scenes encapsulating father-child interactions. Viewing Nanny McPhee through a semiotic lens unveils layers of meaning, encompassing denotation, connotation, and myth. Over a span from August 28, 2023, to November 10, 2023, the researcher meticulously observed and analyzed the nuances of familial communication depicted in the film. By capturing and dissecting scenes through Barthes theoretical framework, the study unveils prevalent themes such as misunderstandings, self-centeredness, and the repercussions of ineffective communication within family dynamics. Drawing from the research findings, it can be concluded that within the narrative of Nanny McPhee, a plethora of communication pitfalls emerge, including (1) instances of misunderstanding, (2) a pronounced focus on self-interest, (3) a reluctance to entertain external perspectives, (4) unilateral decision-making devoid of discourse, and (5) an overall deficiency in familial communication. Furthermore, the absence of paternal guidance and attention looms large, wielding considerable influence over the behavioral and developmental trajectories of the children depicted in the film.

Privacy Protection in Mobile Big Data: Challenges and Solutions

The pervasive use of mobile big data has profoundly altered daily life, providing unprecedented convenience and efficiency. However, with the proliferation of mobile devices and the explosive growth of data volume, the issue of user privacy protection has become increasingly severe. Location information and semantic information, as the two core components of mobile big data, can directly reflect users’ behavioral trajectories and thought dynamics, underscoring the importance of privacy protection. Although existing technologies can protect user data to a certain extent, traditional methods struggle to address increasingly sophisticated attack techniques in the face of evolving privacy threats. A comprehensive privacy protection scheme for mobile big data was proposed in this study, with a focus on two main areas: the privacy protection of location-based and semantic-based mobile big data. For location information protection, an uncertain graph model was employed to effectively resist combined attacks by jointly protecting the user layer and the location layer. For semantic information protection, a hypergraph clustering method was used to structurally protect the user layer and the semantic layer, enhancing the privacy security of semantic information. This study not only addresses existing gaps but also provides new solutions for mobile big data privacy protection, offering significant theoretical and practical value.

Differential Association of Preadolescent Risk Factors Across Developmental Patterns of Adolescent Concurrent Gambling Participation and Substance Use.

Early risk factors for gambling participation (GP) and substance use (SU) in adolescents have usually been studied separately, although these disorders were integrated into the same clinical category over a decade ago. This exploratory study aimed to investigate the early individual, parental, familial and social risk factors associated with developmental patterns of adolescent GP and SU in a population-representative cohort (N = 1594, 51.2% boys). Using a person-centered strategy and multiple assessments from age 12 to 17, six developmental patterns describing joint GP and SU courses were revealed. Non-substance users/non-gamblers served as the reference class in an integrated longitudinal-multivariate analysis framework examining 15 distinct risk factors. Results showed that a core of risk factors were common to all trajectory-classes of substance users with or without GP. For a similar level of SU, most of the risk factors associated with non-gambling users also affected their gambling peers. However, additional risk factors were specifically related to GP. Thus, substance users who also gamble were affected by a greater number of risk factors than non-gambling substance users. Findings are consistent with a developmental syndrome of addiction, which posits a shared etiology between different expressions of addiction as well as differences in risk factors that lead to distinct trajectories of addictive behaviors. They highlight the importance of considering both GP and SU for a comprehensive assessment of adolescents' level of risk with regard to addictive behaviors.

Exploring Alternative Behavioural Trajectories in Entrepreneurship Education in Universities

This Paper explored alternative behavioural trajectories navigable to address entrepreneurship education issues in Nigeria's public universities. Entrepreneurship education's current viability and capacity utilization have not gained the impetus to drive students’ practical application development and add significant value to economic development. This work relied on ethnography using the participant observer method to get relevant contextual specifics to give insights on traversable alternatives that culminate in the much-desired economic development and growth of individuals and the nation at large. It was concluded that behavioural alterations that gravitate towards trajectories that deviate significantly from the dismal state of affairs obtainable in the current pedagogy are the panacea to the apparent quagmire. It was suggested amongst others that driving emotional attachment, improvisation, and the use of alternative sources of funding are avenues of attaining optimal level benefits of entrepreneurship education. This paper contributes to the body of knowledge of entrepreneurship development and knowledge efficiency.

Differential growth trajectories of behavioral self-regulation from early childhood to adolescence: Implication for youth domain-general and school-specific outcomes

The current study examined the developmental trajectories of behavioral self-regulation from early childhood to adolescence and linked them to adolescent domain-general (i.e., positive functioning and delinquent behavior) and school-specific (i.e., school connectedness and peer victimization) outcomes. Using data from the Future of Families and Child Wellbeing Study (N = 4009), Growth Mixture Models identified four behavioral self-regulation trajectory classes: early developer (n = 2096, 52.3%), moderate stable (n = 1500, 37.4%), lagged developer (n = 212, 5.2%), and regressor (n = 201, 5%). Child and family characteristics were used to distinguish these four trajectories. The early developer trajectory had the strongest protective effect on adolescent outcomes, showing the highest levels of positive functioning and school connectedness and the lowest levels of delinquent behavior and peer victimization. Conversely, the regressor trajectory was linked with highest risky adolescent outcomes. The findings underscore the importance of implementing targeted intervention programs that promote behavioral self-regulation during middle childhood.

Oral feeding challenges of infants of diabetic mothers.

The presence of diabetes before or during pregnancy can increase perinatal mortality and morbidities. It is well known an infant of a diabetic mother (IDM) may experience complications such as macrosomia, hypoglycemia, respiratory distress syndrome, cardiac anomalies, and other abnormalities of organogenesis. Medical providers including physicians, nurses, and speech therapists have experienced challenges with helping IDMs orally feed. Challenges with oral feeding can lead to prolonged hospital stays and placement of supplemental feeding devices. The etiology of an IDM's oral feeding delays is not well understood and does not necessarily affect all infants. This descriptive review explores what is known about potential contributing factors to feeding difficulty in IDMs, including differences in infant behavior and swallowing mechanics. Some IDMs are unable to maintain active alert states and have decreased autonomic regulation and motor control. Studies of sucking and swallowing demonstrate reduced sucking pressure, fewer sucking bursts, and slowing of esophageal sphincter function. The increasing prevalence of diabetes during pregnancy makes further investigations into the characteristics and trajectories of state, behavior, and oral feeding of IDMs imperative.

Joint Trajectories of Lifestyle Indicators and Their Associations with Blood Pressure among Chinese Middle School Students.

Lifestyle behaviors, defined as a combination of dietary behavior, physical activity (PA), screen time (ST), and sleep duration indicators, are strongly associated with blood pressure (BP) in students. Our aim was to characterize the joint trajectories of lifestyle behaviors among middle school students and evaluate their association with BP. Data were obtained from the monitoring dataset on common diseases and health factors among students in Jiading District, Shanghai, China, conducted from 2019 to 2023. Lifestyle behavior data were collected annually from middle school students aged 12-18 years through questionnaires covering dietary behavior score, PA, ST, and sleep duration. Students' BP was measured in 2023. Joint trajectories of lifestyle behaviors were determined using group-based multi-trajectory modeling. Associations between lifestyle trajectories and students' BP were examined using multiple linear regression and modified Poisson regression. A total of 1378 middle school students (759 [58.98%] boys, median age 14.36 years [IQR: 13·30-13.28]) with lifestyle behaviors data assessed at least three times were included, and they were categorized into four joint lifestyle trajectories as follows: "remain unhealthy with low PA and increasing ST" (n = 141, 10.46%), "remain unhealthy with only low PA" (n = 305, 22.63%), "change towards unhealthy with decreasing sleep duration" (n = 776, 57.57%), and "relatively healthy" (n = 126, 9.35%). After adjusting for important confounders, the "remain unhealthy with low PA and increasing ST" group was associated with higher diastolic BP (DBP) [β: 3.49, 95% CI: 0.55-6.44] and higher mean arterial pressure (MAP) [β: 3.19, 95% CI: 0.37-6.01] in students compared with the "relatively healthy" group. Additionally, compared with the "relatively healthy" group, students in the "remain unhealthy with low PA and increasing ST" group had a 1.12-fold increase in the risk of hypertension (risk ratios: 1.12, 95% CI: 1.03-1.24). All trend p values in DBP, MAP, and hypertension from the "relatively healthy" group to the "remain unhealthy with low PA and increasing ST" group were less than 0.05. Four distinct lifestyle trajectories were identified among middle school students. Students who remained in the "unhealthy with low PA and increasing ST" lifestyle trajectory were associated with later elevations in BP.

Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks

AbstractA new modeling framework for bipartite social networks arising from a sequence of partially time-ordered relational events is proposed. We directly model the joint distribution of the binary variables indicating if each single actor is involved or not in an event. The adopted parametrization is based on first- and second-order effects, formulated as in marginal models for categorical data and free higher order effects. In particular, second-order effects are log-odds ratios with meaningful interpretation from the social perspective in terms of tendency to cooperate, in contrast to first-order effects interpreted in terms of tendency of each single actor to participate in an event. These effects are parametrized on the basis of the event times, so that suitable latent trajectories of individual behaviors may be represented. Inference is based on a composite likelihood function, maximized by an algorithm with numerical complexity proportional to the square of the number of units in the network. A classification composite likelihood is used to cluster the actors, simplifying the interpretation of the data structure. The proposed approach is illustrated on simulated data and on a dataset of scientific articles published in four top statistical journals from 2003 to 2012.

Children of immigrants' behavioral trajectories and family processes: Using an integrative developmental model.

Using an integrative developmental model, this study revisited the "immigrant paradox" in early behavioral development, differentiating immigrant background from race and examining the role of family processes (family structure, stability, racial/ethnic socialization) in disparities between immigrant and U.S.-origin children. Growth-curve analyses on a sample of children aged 5-7 (N = 12,520) from the Early Childhood Longitudinal Study-Kindergarten class of 2010-2011 data set revealed distinct behavioral trajectories based on parental country of origin. Some groups outperformed the racially matched U.S.-origin peers by improving faster (internalizing behaviors: Salvadoran) or maintaining their advantages (internalizing: Mexican, Dominican; externalizing: Mexican, Salvadoran, Guatemalan, South American, and Dominican), while others faced continued challenges (externalizing behaviors: Japanese, Thai) or exhibited a nuanced pattern such as beginning with an advantage but deteriorating faster (internalizing: Cuban). The time-varying, country-of-origin-specific family processes fully or partly explained some disparities (except for Asian), emphasizing the need for a sociocultural understanding of the distinct strengths and limitations in racial-ethnic minority families. This contextualized knowledge is crucial for promoting healthy child development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mapping the developmental structure of stereotyped and individual-unique behavioral spaces in C. elegans

Developmental patterns of behavior are variably organized in time and among different individuals. However, long-term behavioral diversity was previously studied using pre-defined behavioral parameters, representing a limited fraction of the full individuality structure. Here, we continuously extract ∼1.2 billion body postures of ∼2,200 single C.elegans individuals throughout their full development time to create a complete developmental atlas of stereotyped and individual-unique behavioral spaces. Unsupervised inference of low-dimensional movement modes of each single individual identifies a dynamic developmental trajectory of stereotyped behavioral spaces and exposes unique behavioral trajectories of individuals that deviate from the stereotyped patterns. Moreover, classification of behavioral spaces within tens of neuromodulatory and environmentally perturbed populations shows plasticity in the temporal structures of stereotyped behavior and individuality. These results present a comprehensive atlas of continuous behavioral dynamics across development time and a general framework for unsupervised dissection of shared and unique developmental signatures of behavior.

Trajectories of behavior and social cognition in behavioral variant frontotemporal dementia and primary psychiatric disorders: A call for better operationalization of socioemotional changes.

Behavioral variant frontotemporal dementia (bvFTD) and primary psychiatric disorders (PPD), such as mood, psychotic, and autism spectrum disorders, share similar clinical characteristics of behavior and social cognition. Better understanding of clinical progression in bvFTD and PPD is essential for adequate disease monitoring and trial design. In this longitudinal study (N = 89), patients with bvFTD and PPD with at least one follow-up assessment were included from the Social Brain Project of the Alzheimer Center Amsterdam. Behavioral change and social cognitive decline were assessed via informant-rated questionnaires (Cambridge Behavioral Inventory-Revised, Frontal Behavioral Inventory [FBI], Stereotypy Rating Inventory, Frontotemporal Dementia Rating Scale, Revised Self-Monitoring Scale [RSMS]-caregiver) and patient assessment (Ekman 60-Faces Test, RSMS-patient, Emotional Contagion Scale). Clinical trajectories (median = 1.4 years, interquartile range = 1.0-2.2) were examined using linear mixed models. In a subsample, associations with baseline serum neurofilament light (sNfL) were examined. At baseline, behavioral and social cognitive symptoms were similar between diagnosis groups, except for poorer emotion recognition in bvFTD. Over time, behavioral symptoms worsened in bvFTD, whereas most measures remained stable and the FBI improved in PPD. Regarding social cognition, emotion recognition and caregiver-reported socioemotional sensitivity worsened in bvFTD and remained stable in PPD. Patient-reported social cognitive measures did not change over time. Higher sNfL was associated with faster behavioral change. Trajectories of behavior and social cognition differentiate bvFTD from PPD, provided that social cognition is not patient-reported. Therefore, we stress the need to optimize longitudinal social cognitive assessment in bvFTD. sNfL may be a useful prognostic marker of behavioral progression in neuropsychiatric populations.

Trajectories of childhood bullying behaviors and conduct problems: Associations with cognitive functioning in a nationally representative cohort study.

Bullying behaviors and conduct problems are two forms of antisocial behavior that frequently co-occur in childhood. However, it remains unclear whether their developmental trajectories are distinct and the extent to which different aspects of cognitive functioning account for their development. We aimed to disentangle the developmental trajectories of bullying behaviors and conduct problems, test their interrelations across childhood, and assess associations with children's early cognitive functioning (executive functions, intelligent quotient [IQ], and theory of mind). Participants included 2,232 children from the Environmental Risk (E-Risk) Longitudinal Twin Study. We performed dual group-based trajectory modeling on combined parent and teacher reports of children's bullying behaviors and conduct problems at 5, 7, 10, and 12 years. We assessed associations with age 5 cognitive functioning using regression analyses. We identified five developmental trajectories for bullying behaviors and four for conduct problems. The developmental course of both behaviors was interrelated most strongly among those with high levels. A subgroup of children was likely to transition from conduct problems to bullying behaviors as they got older. Lower IQ was associated with both antisocial behavior trajectories, whereas lower theory of mind was only associated with conduct problems trajectories. The developmental course of bullying behaviors and conduct problems is distinct but linked across childhood. Interventions targeting bullying behaviors or conduct problems could benefit from more integration and should take into account children's cognitive functioning. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Interactive roles of preterm-birth and socioeconomic status in cortical thickness of language-related brain structures: Findings from the Adolescent Brain Cognitive Development (ABCD) study

Preterm-born (PTB) children are at an elevated risk for neurocognitive difficulties in general and language difficulties more specifically. Environmental factors such as socio-economic status (SES) play a key role for Term children's language development. SES has been shown to predict PTB children's behavioral developmental trajectories, sometimes surpassing its role for Term children. However, the role of SES in the neurocognitive basis of PTB children's language development remains uncharted. Here, we aimed to evaluate the role of SES in the neural basis of PTB children's language performance. Leveraging the Adolescent Brain Cognitive Development (ABCD) Study, the largest longitudinal study of adolescent brain development and behavior to date, we showed that prematurity status (PTB versus Term) and multiple aspects of SES additively predict variability in cortical thickness, which is in turn related to children's receptive vocabulary performance. We did not find evidence to support the differential role of environmental factors for PTB versus Term children, underscoring that environmental factors are significant contributors to development of both Term and PTB children. Taken together, our results suggest that the environmental factors influencing language development might exhibit similarities across the full spectrum of gestational age.