Longitudinal Assessments of Neurocognitive Performance and Brain Structure Associated With Initiation of Tobacco Use in Children, 2016 to 2021 DOI Creative Commons
Hongying Dai, Gaëlle E. Doucet, Yingying Wang

et al.

JAMA Network Open, Journal Year: 2022, Volume and Issue: 5(8), P. e2225991 - e2225991

Published: Aug. 10, 2022

Importance

The landscape of tobacco use is changing. However, information about the association between early-age and cognitive performances limited, especially for emerging products such as electronic cigarettes (e-cigarettes).

Objective

To assess initiation measured by National Institutes Health (NIH) Toolbox Cognitive Battery to examine whether associated with differences in brain morphometry.

Design, Setting, Participants

This observational cohort study examined longitudinal associations neurocognition using multivariate linear mixed models. Children aged 9 10 years from 21 US sites were enrolled wave 1 (October 1, 2016, October 31, 2018 [n = 11 729]) 2-year follow-up (August 2018, January 2021 081]) Adolescent Brain Development (ABCD) Study.

Exposures

Ever (vs none) any at including e-cigarettes, cigarettes, cigars, smokeless tobacco, hookah, pipes, nicotine replacement.

Main Outcomes Measures

Neurocognition NIH Cognition morphometric measures structure region interest analysis cortex structural magnetic resonance imaging.

Results

Among 729 participants (mean [SE] age, 9.9 [0.6] years; 47.9% girls 52.1% boys; 20.3% Hispanic; 14.9% non-Hispanic Black; White), 116 children reported ever products. Controlling confounders, users vs nonusers exhibited lower scores Picture Vocabulary Tests (b[SE] −2.9 [0.6];P < .001) −3.0 [0.7];P .001). crystalized cognition composite score was among than both −2.4 [0.5];P −2.7 [0.8];P .005). In imaging, whole-brain cortical area volume significantly nonusers, −5014.8 [1739.8] mm2;P .004) −174 621.0 [5857.7] mm3;P .003) −21 790.8 [7043.9] .002). Further revealed smaller multiple regions across frontal, parietal, temporal lobes waves.

Conclusions Relevance

this study, initiating late childhood inferior performance reduced sustained effects follow-up. These findings suggest that youths vulnerable e-cigarettes should be treated a priority population prevention.

Language: Английский

The Human Connectome Project: A retrospective DOI Creative Commons

Jennifer Stine Elam,

Matthew F. Glasser,

Michael P. Harms

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 244, P. 118543 - 118543

Published: Sept. 8, 2021

The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances human neuroimaging, particularly for measures of brain connectivity; apply these study a large number healthy young adults; and freely share the data tools with scientific community. NIH awarded grants two consortia; this retrospective focuses on "WU-Minn-Ox" HCP consortium centered at Washington University, University Minnesota, Oxford. In just over 6 years, WU-Minn-Ox succeeded its core objectives by: 1) improving MR scanner hardware, pulse sequence design, image reconstruction methods, 2) acquiring analyzing multimodal MRI MEG unprecedented quality together behavioral from more than 1100 participants, 3) sharing (via ConnectomeDB database) associated analysis visualization tools. To date, 27 Petabytes have been shared, 1538 papers acknowledging use published. "HCP-style" neuroimaging paradigm has emerged set best-practice strategies optimizing acquisition analysis. This article reviews history HCP, including comments key events decisions major project components. We discuss several using data, improved cortical parcellations, analyses connectivity based functional diffusion MRI, brain-behavior relationships. also touch upon our efforts develop variety processing along detailed documentation, tutorials, educational course train next generation neuroimagers. conclude look forward opportunities challenges facing field perspective consortium.

Language: Английский

Citations

203

Substance use disorders: a comprehensive update of classification, epidemiology, neurobiology, clinical aspects, treatment and prevention DOI Open Access
Nora D. Volkow, Carlos Blanco

World Psychiatry, Journal Year: 2023, Volume and Issue: 22(2), P. 203 - 229

Published: May 9, 2023

Substance use disorders (SUDs) are highly prevalent and exact a large toll on individuals’ health, well‐being, social functioning. Long‐lasting changes in brain networks involved reward, executive function, stress reactivity, mood, self‐awareness underlie the intense drive to consume substances inability control this urge person who suffers from addiction (moderate or severe SUD). Biological (including genetics developmental life stages) adverse childhood experiences) determinants of health recognized factors that contribute vulnerability for resilience against developing SUD. Consequently, prevention strategies target risk can improve outcomes and, when deployed adolescence, decrease these disorders. SUDs treatable, evidence clinically significant benefit exists medications (in opioid, nicotine alcohol disorders), behavioral therapies all SUDs), neuromodulation disorder). Treatment should be considered within context Chronic Care Model, with intensity intervention adjusted severity disorder concomitant treatment comorbid psychiatric physical conditions. Involvement care providers detection management SUDs, including referral cases specialized care, offers sustainable models further expanded telehealth. Despite advances our understanding individuals conditions continue stigmatized some countries, incarcerated, highlighting need dismantle policies perpetuate their criminalization instead develop ensure support access treatment.

Language: Английский

Citations

142

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research DOI Creative Commons
Soichi Hayashi, Bradley Caron, Anibal Sólon Heinsfeld

et al.

Nature Methods, Journal Year: 2024, Volume and Issue: 21(5), P. 809 - 813

Published: April 11, 2024

Neuroscience is advancing standardization and tool development to support rigor transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable reusable) access. brainlife.io was developed democratize neuroimaging research. The platform provides standardization, management, visualization processing automatically tracks the provenance history of thousands objects. Here, described evaluated for validity, reliability, reproducibility, replicability scientific utility using four modalities 3,200 participants.

Language: Английский

Citations

33

A precision functional atlas of personalized network topography and probabilities DOI Creative Commons
Robert Hermosillo, Lucille A. Moore, Eric Feczko

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(5), P. 1000 - 1013

Published: March 26, 2024

Abstract Although the general location of functional neural networks is similar across individuals, there vast person-to-person topographic variability. To capture this, we implemented precision brain mapping magnetic resonance imaging methods to establish an open-source, method-flexible set network atlases—the Masonic Institute for Developing Brain (MIDB) Precision Atlas. This atlas evolving resource comprising 53,273 individual-specific maps, from more than 9,900 ages and cohorts, including Adolescent Cognitive Development study, Developmental Human Connectome Project others. We also generated probabilistic maps multiple integration zones (using a new overlapping technique, Overlapping MultiNetwork Imaging). Using regions high invariance improved reproducibility executive function statistical in brain-wide associations compared group average-based parcellations. Finally, provide potential use case targeted neuromodulation. The expandable alternative datasets with online interface encouraging scientific community explore contribute understanding human precisely.

Language: Английский

Citations

24

Leveraging big data and analytics for enhanced public health decision-making: A global review DOI Creative Commons

Adekunle Oyeyemi Adenyi,

Chioma Anthonia Okolo,

Tolulope Olorunsogo

et al.

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 18(2), P. 450 - 456

Published: Feb. 28, 2024

In recent years, the proliferation of big data and analytics technologies has revolutionized various sectors, including public health. This review presents a comprehensive how leveraging enhanced health decision-making on global scale. The encompasses diverse applications, methodologies, challenges, opportunities within this burgeoning field. Big in collection, processing, analysis vast datasets from heterogeneous sources, electronic records, social media, wearable devices, environmental sensors. These sources offer valuable insights into disease patterns, risk factors, healthcare utilization, population trends. By applying advanced analytical techniques such as machine learning, predictive modeling, visualization, officials can extract actionable intelligence to inform processes. Several case studies highlight efficacy domains. For instance, modeling have been utilized forecast outbreaks, enabling timely resource allocation intervention planning. Social media mining facilitated real-time surveillance sentiment health-related behaviors, aiding targeted promotion campaigns. Additionally, record personalized medicine initiatives improved patient outcomes. Despite significant potential health, several challenges exist. include privacy concerns, quality issues, interoperability barriers, digital divide. Furthermore, ethical considerations regarding consent, transparency, equity must be carefully addressed mitigate biases ensure responsible usage. Looking ahead, future for appears promising. Advancements integration, standards, artificial hold immense improving accuracy, timeliness, relevance interventions. Collaborative efforts between governments, academia, industry, civil society are essential harness full safeguarding promoting well-being

Language: Английский

Citations

19

Demographic and mental health assessments in the adolescent brain and cognitive development study: Updates and age-related trajectories DOI Creative Commons
Deanna M. Barch, Matthew D. Albaugh, Arielle Baskin–Sommers

et al.

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 52, P. 101031 - 101031

Published: Oct. 29, 2021

The Adolescent Brain Cognitive Development (ABCD) Study of 11,880 youth incorporates a comprehensive range measures assessing predictors and outcomes related to mental health across childhood adolescence in participating youth, as well information about family history. We have previously described the logic content assessment battery at Baseline 1-year follow-up. Here, we describe changes that issues clarifications emerged, additions 2-, 3-, 4-, 5-year follow-ups. capitalize on recent release longitudinal data for caregiver report evaluate trajectories dimensions psychopathology function demographic factors. For both self-reported symptoms, males showed age-related decreases internalizing externalizing while females an increase symptoms with age. Multiple indicators socioeconomic status (caregiver education, income, financial adversity, neighborhood poverty) accounted unique variance youth-reported symptoms. These highlight importance examining developmental key factors such sex environment.

Language: Английский

Citations

80

The Impact of COVID‐19 on Adolescents’ Daily Lives: The Role of Parent–Child Relationship Quality DOI Open Access
Julie Janssens, Robin Achterhof, Ginette Lafit

et al.

Journal of Research on Adolescence, Journal Year: 2021, Volume and Issue: 31(3), P. 623 - 644

Published: Aug. 26, 2021

COVID-19 lockdown measures have profoundly impacted adolescent' daily life, with research suggesting an increase in irritability, stress, loneliness, and family conflict. A potential protective factor is parent-child relationship quality; however, no studies investigated this. We used data from SIGMA, a longitudinal, experience sampling cohort study, which N = 173 adolescents aged 11 to 20 were tested before during COVID-19. Multilevel analyses showed decreased daily-life irritability increased loneliness pre- mid-pandemic. Daily-life stress levels unchanged. Relationship quality was negatively associated buffered against the loneliness. Effect sizes small do not support strong effect of first on conflict adolescents.

Language: Английский

Citations

72

Emotion regulation and the salience network: a hypothetical integrative model of fibromyalgia DOI
Ana Margarida Pinto, Rinie Geenen, Tor D. Wager

et al.

Nature Reviews Rheumatology, Journal Year: 2022, Volume and Issue: 19(1), P. 44 - 60

Published: Dec. 5, 2022

Language: Английский

Citations

66

A generative network model of neurodevelopmental diversity in structural brain organization DOI Creative Commons
Danyal Akarca, Petra E. Vértes, Edward T. Bullmore

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: July 9, 2021

Abstract The formation of large-scale brain networks, and their continual refinement, represent crucial developmental processes that can drive individual differences in cognition which are associated with multiple neurodevelopmental conditions. But how does this organization arise, what mechanisms diversity organization? We use generative network modeling to provide a computational framework for understanding diversity. Within macroscopic organization, complete spatial embedding its is an emergent property wiring equation optimizes connectivity by renegotiating biological costs topological values continuously over time. rules govern these iterative properties controlled set tightly framed parameters, subtle parameters steering growth towards different neurodiverse outcomes. Regional expression genes the simulations converge on cellular components predominantly involved synaptic signaling, neuronal projection, catabolic intracellular protein transport. Together, provides unifying conceptualizing neurodevelopment, capable integrating levels analysis—from cognition.

Language: Английский

Citations

58

Associations among negative life events, changes in cortico-limbic connectivity, and psychopathology in the ABCD Study DOI Creative Commons
Alexis Brieant, Lucinda M. Sisk, Dylan G. Gee

et al.

Developmental Cognitive Neuroscience, Journal Year: 2021, Volume and Issue: 52, P. 101022 - 101022

Published: Oct. 19, 2021

Adversity exposure is a risk factor for psychopathology, which most frequently onsets during adolescence, and prior research has demonstrated that alterations in cortico-limbic connectivity may account part this association. In sample of youth from the Adolescent Brain Cognitive Development (ABCD) Study (N = 4006), we tested longitudinal structural equation model to examine indirect effect adversity (negative life events) on later psychopathology via changes resting-state functional (rsFC). We also examined potential protective effects parental acceptance. Generally, became more strongly negative between baseline year 2 follow-up, suggesting stronger correlations within these networks reflect mature phenotype. Exposure greater number events was associated with rsFC which, turn, lower internalizing (but not externalizing) symptoms. The symptoms significant. Parental acceptance did moderate association rsFC. Our findings highlight how stressful childhood experiences accelerate neurobiological maturation specific connections, potentially reflecting an adaptive process protects against problems context adversity.

Language: Английский

Citations

57