Dissociable Contributions of Goal‐Relevant Evidence and Goal‐Irrelevant Familiarity to Individual and Developmental Differences in Conflict Recognition DOI Creative Commons
Alexander Weigard, Takakuni Suzuki, Lena J. Skalaban

et al.

Cognitive Science, Journal Year: 2024, Volume and Issue: 48(11)

Published: Nov. 1, 2024

Abstract Recent studies using the diffusion decision model find that performance across many cognitive control tasks can be largely attributed to a task‐general efficiency of evidence accumulation (EEA) factor reflects individuals’ ability selectively gather relevant task goals. However, estimates EEA from an n‐back “conflict recognition” paradigm in Adolescent Brain Cognitive Development SM (ABCD) Study, large, diverse sample youth, appear contradict these findings. “lure” trials—which present stimuli are familiar (i.e., presented previously) but do not meet formal criteria for being target—show inconsistent relations with other trials and display atypical v‐shaped bivariate distributions, suggesting individuals responding based on stimulus familiarity rather than goal‐relevant features. We new integration conflict recognition distinguishes their use goal‐irrelevant familiarity. then investigate developmental, cognitive, clinical correlates novel parameters. Parameters familiarity‐based processing showed strong correlations levels load, they dimensions influence regardless working memory demands. Only robust developmental differences ABCD independent age‐diverse sample. also exhibited higher test‐retest reliability uniquely meaningful associations clinically dimensions. These findings establish principled modeling framework characterizing mechanisms have several broader implications research individual control.

Language: Английский

Recommendations for the responsible use and communication of race and ethnicity in neuroimaging research DOI

Carlos Cardenas‐Iniguez,

Marybel R. Gonzalez

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(4), P. 615 - 628

Published: March 22, 2024

Language: Английский

Citations

44
The future of neuroscience in developmental psychopathology DOI Creative Commons
Luke W. Hyde, Jessica L. Bezek, Cleanthis Michael

et al.

Development and Psychopathology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: March 6, 2024

Abstract Developmental psychopathology started as an intersection of fields and is now a field itself. As we contemplate the future this field, consider ways in which newer, interdisciplinary – human developmental neuroscience can inform, be informed by, psychopathology. To do so, outline principles how they are and/or implemented neuroscience. In turn, highlight collaboration between these lead to richer models more impactful translation. doing describe from enrich directions for

Language: Английский

Citations

9
Quality over quantity: powering neuroimaging samples in psychiatry DOI
Carolina Makowski, Thomas E. Nichols, Anders M. Dale

et al.

Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 50(1), P. 58 - 66

Published: June 20, 2024

Language: Английский

Citations

9
Evaluating the predictive power of metacognitive reading strategies across diverse educational contexts DOI Creative Commons
Nirmal Ghimire, Kouider Mokhtari

Large-scale Assessments in Education, Journal Year: 2025, Volume and Issue: 13(1)

Published: Feb. 24, 2025

Abstract Background Metacognitive reading strategies, such as monitoring and regulating one’s processes, are critical for enhancing comprehension achievement. However, their effectiveness can vary across different educational contexts student populations, necessitating flexible instructional approaches. This study examines the predictive utility of metacognitive strategies on skills achievement scores using data from PISA 2018 assessment. Specifically, it compares these four distinct contexts: United States, OECD countries, non-OECD countries that participated in assessment (Partner Countries), census (Full Sample). Methods A multi-stage analytical approach was used, combining Random Forest models feature importance analysis with survey-weighted linear regression to assess relationships The utilized Student Questionnaire, which included responses 612,004 students 79 countries. focused three key skills: Understanding Remembering, Summarizing, Assessing Credibility, well based ten plausible values. Results identified several consistent predictors skills, some variations relative by setting. Notable underlining important parts text , carefully checking representation facts summaries verifying information websites . These showed a positive correlation higher overall reaching direction between contexts, indicating modest yet significant association strategy use both outcomes. Conclusions enhances our understanding how influence diverse settings. findings highlight potential benefits reinforcing specific support students' comprehension. Given use, achievement, targeted interventions promote could effectively improve contexts.

Language: Английский

Citations

1
Considerations When Accounting for Race and Ethnicity in Studies of Poverty and Neurodevelopment DOI

Clementine Semanaz,

Akhgar Ghassabian, Scott Delaney

et al.

Journal of the American Academy of Child & Adolescent Psychiatry, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

1
Socioeconomic resources in youth are linked to divergent patterns of network integration/segregation across the brain’s transmodal axis DOI Creative Commons
Cleanthis Michael, Aman Taxali, Mike Angstadt

et al.

PNAS Nexus, Journal Year: 2024, Volume and Issue: 3(9)

Published: Sept. 1, 2024

Abstract Socioeconomic resources (SER) calibrate the developing brain to current context, which can confer or attenuate risk for psychopathology across lifespan. Recent multivariate work indicates that SER levels powerfully relate intrinsic functional connectivity patterns entire brain. Nevertheless, neuroscientific meaning of these widespread neural differences remains poorly understood, despite its translational promise early identification, targeted intervention, and policy reform. In present study, we leverage graph theory precisely characterize univariate associations between household neighborhood contexts architecture regions in 5,821 youth (9–10 years) from Adolescent Brain Cognitive Development Study. First, establish decomposing into profiles integration segregation captures more than half association with greater parsimony (100-fold reduction number features) interpretability. Second, show topological effects are not uniform brain; rather, higher associated somatomotor subcortical systems, but default mode, orbitofrontal, cerebellar systems. Finally, demonstrate spatially patterned along unimodal–transmodal gradient organization. These findings provide critical interpretive context established This study highlights both higher-order networks differentially implicated environmental stress, disadvantage, opportunity youth.

Language: Английский

Citations

6
Population Weighting in Statistical Analysis DOI
Yajuan Si, Sung‐Hee Lee, Steven G. Heeringa

et al.

JAMA Internal Medicine, Journal Year: 2023, Volume and Issue: 184(1), P. 98 - 98

Published: Nov. 27, 2023

This Guide to Statistics and Methods provides an overview of weighted analyses population-based surveys, which can help achieve statistically valid, representative findings.

Language: Английский

Citations

11
Unique versus shared neural correlates of externalizing psychopathology in late childhood. DOI
Samantha Perlstein, Samuel W. Hawes, Amy L. Byrd

et al.

Journal of Psychopathology and Clinical Science, Journal Year: 2024, Volume and Issue: 133(6), P. 477 - 488

Published: June 13, 2024

Childhood externalizing psychopathology is heterogeneous. Symptom variability in conduct disorder (CD), oppositional defiant (ODD), attention-deficit/hyperactivity (ADHD), and callous-unemotional (CU) traits designate different subgroups of children with problems who have specific treatment needs. However, CD, ODD, ADHD, CU are highly comorbid. Studies need to generate insights into shared versus unique risk mechanisms, including through the use functional magnetic resonance imaging (fMRI). In this study, we tested whether symptoms were best represented within a bifactor framework, simultaneously modeling (i.e., general problems) symptom-specific) variance, or four-correlated factor second-order model. Participants (

Language: Английский

Citations

3
Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways DOI Creative Commons
Matthew Peverill, Justin D. Russell, Taylor J. Keding

et al.

Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(1)

Published: Jan. 1, 2025

ABSTRACT Analysis of resting state fMRI (rs‐fMRI) typically excludes images substantially degraded by subject motion. However, data quality, including degree motion, relates to a broad set participant characteristics, particularly in pediatric neuroimaging. Consequently, when planning quality control (QC) procedures researchers must balance concerns against the possibility biasing results eliminating data. In order explore how researcher QC decisions might bias rs‐fMRI findings and inform future research design, we investigated spectrum characteristics Adolescent Brain Cognitive Development (ABCD) study were related inclusion/exclusion across versions dataset (the ABCD Community Collection Release 4) choices (specifically, motion scrubbing thresholds). Across all these conditions, found that odds participant's exclusion behavioral, demographic, health‐related variables, with consequence analyses using variables are likely produce biased results. recommend missing be formally accounted for analyzing interpreting Our demonstrate urgent need better acquisition analysis techniques which minimize impact on quality. Additionally, strongly detailed information about open datasets such as ABCD.

Language: Английский

Citations

0
Sleep duration and efficiency moderate the effects of prenatal and childhood ambient pollutant exposure on global white matter microstructural integrity in adolescence DOI Creative Commons
Devyn L. Cotter, Orsolya Kiss, Hedyeh Ahmadi

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

Air pollution is a ubiquitous neurotoxicant associated with alterations in structural connectivity. Good habitual sleep may be an important protective lifestyle factor due to its involvement the brain waste clearance and bidirectional relationship immune function. Wearable multisensory devices provide more objective measures of quantity quality. We investigated whether duration efficiency moderated between prenatal childhood pollutant exposure whole-brain white matter microstructural integrity at ages 10-13 years. used multi-shell diffusion-weighted imaging data collected on 3T MRI scanners Fitbit Charge 2 from 2-year follow-up visit for 2178 subjects Adolescent Brain Cognitive Development Study®. White tracts were identified using probabilistic atlas. Restriction spectrum was performed extract restricted normalized isotropic (RNI) directional (RND) signal fraction parameters all tracts, then averaged calculate global measures. Sleep calculated by summing time spent each stage; dividing bed. Using ensemble-based modeling approach, air concentrations PM 2.5 , NO O 3 assigned child's residential addresses during period (9-month average before birthdate) as well 9- 10 Multi-pollutant linear mixed effects models assessed associations RNI RND sleep-by-pollutant interactions, adjusting appropriate covariates. interacted affect Longer higher context lower compared those similar but shorter efficiency. Low-level poses risk health youth, healthy increase resilience harmful integrity. Future studies should evaluate generalizability these results diverse cohorts utilize longitudinal understand how impact trajectories over time.

Language: Английский

Citations

0