Prenatal cannabis exposure, the brain, and psychopathology during early adolescence

Nature Mental Health, Journal Year: 2024, Volume and Issue: 2(8), P. 975 - 986

Published: July 4, 2024

Language: Английский

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Age‐related change in task‐evoked amygdala—prefrontal circuitry: A multiverse approach with an accelerated longitudinal cohort aged 4–22 years

Human Brain Mapping, Journal Year: 2022, Volume and Issue: 43(10), P. 3221 - 3244

Published: April 8, 2022

Abstract The amygdala and its connections with medial prefrontal cortex (mPFC) play central roles in the development of emotional processes. While several studies have suggested that this circuitry exhibits functional changes across first two decades life, findings been mixed ‐ perhaps resulting from differences analytic choices studies. Here we used multiverse analyses to examine robustness task‐based amygdala—mPFC function within context an accelerated longitudinal design (4–22 years‐old; N = 98; 183 scans; 1–3 scans/participant). Participants recruited greater Los Angeles area completed event‐related face (fear, neutral) task. Parallel varying preprocessing modeling found age‐related change estimates for reactivity were more robust than task‐evoked connectivity varied analytical choices. Specification curves indicated evidence decreases faces, though within‐participant could not be differentiated between‐participant differences. In contrast, results methods much more, was consistent. Generalized psychophysiological interaction (gPPI) measurements especially sensitive whether a deconvolution step applied. Our demonstrate importance assessing analysis choices, although our current work cannot overinterpreted given low test–retest reliability. Together, these highlight both challenges estimating developmental cohorts value approaches neuroimaging results.

Language: Английский

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Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®

Behavior Genetics, Journal Year: 2022, Volume and Issue: 53(1), P. 1 - 24

Published: Nov. 10, 2022

Abstract Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage four universities known for their twin research, neuroimaging, population-based sampling, expertise genetic epidemiology so that representative could be performed. In this paper we use data to: (i) provide initial estimates heritability wide range phenotypes assessed Study using a consistent direct variance estimation approach, assuring both methodology are sound; (ii) an online resource researchers can serve as reference point future behavior publicly available dataset. Data were analyzed from 772 pairs twins aged 9–10 years at study inception, with zygosity determined genotypic data, recruited hub sites. tool provides correlations standardized unstandardized additive genetic, environmental variation 14,500 continuously distributed phenotypic features, including: structural functional neurocognition, personality, psychopathology, substance propensity, physical, trait variables. obtained unconstrained they incorporated directly meta-analyses without upwardly biasing aggregate estimates. results indicated broad consistency prior literature where provided novel or those different ages. Effects site, self-identified race/ethnicity, age sex statistically controlled. Results modeling all 53,172 continuous variables, including 38,672 MRI will accessible via user-friendly open-access web interface have established, updated new released Study. This overview embedded within Study, introduction primary research domains methodology, evaluation findings focus on quality suitability introductory material is recognition multidisciplinary appeal While focuses univariate analyses, emphasize opportunities multivariate, developmental causal well evaluating heterogeneity by key moderators such sex, demographic factors background.

Language: Английский

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Profiling intra- and inter-individual differences in brain development across early adolescence

NeuroImage, Journal Year: 2023, Volume and Issue: 279, P. 120287 - 120287

Published: Aug. 1, 2023

As we move toward population-level developmental neuroscience, understanding intra- and inter-individual variability in brain maturation sources of neurodevelopmental heterogeneity becomes paramount. Large-scale, longitudinal neuroimaging studies have uncovered group-level trajectories, while recent work has begun to untangle differences, they remain largely unclear. Here, aim quantify both across facets neurodevelopment early adolescence (ages 8.92 13.83 years) the Adolescent Brain Cognitive Development (ABCD) Study examine as a function age, sex, puberty. Our results provide novel insight into differences annualized percent change macrostructure, microstructure, functional development from ages 9-13 years old. These findings reveal moderate age-related intra-individual change, but only few measures cortical macro- microstructure development. Greater were seen mid-pubertal individuals, except for aspects white matter that more variable between prepubertal individuals some tracts. Although sexes contributed macrostructure regions brain, found limited support hypotheses regarding greater male-than-female variability. This highlights pockets individual adolescent development, also highlighting regional facilitate future investigations quantifying probing nuances normative deviations therefrom.

Language: Английский

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Robust group- but limited individual-level (longitudinal) reliability and insights into cross-phases response prediction of conditioned fear

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Sept. 13, 2022

Here, we follow the call to target measurement reliability as a key prerequisite for individual-level predictions in translational neuroscience by investigating (1) longitudinal at individual and (2) group level, (3) internal consistency (4) response predictability across experimental phases. One hundred twenty individuals performed fear conditioning paradigm twice 6 months apart. Analyses of skin conductance responses, ratings blood oxygen level dependent functional magnetic resonance imaging (BOLD fMRI) with different data transformations included numbers trials were conducted. While was rather limited it comparatively higher acquisition but not extinction level. Internal satisfactory. Higher responding preceding phases predicted subsequent weak moderate depending on specifications. In sum, results suggest that while are meaningful (very) short time frames, they also more attention properties field.

Language: Английский

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Classifying Conduct Disorder Using a Biopsychosocial Model and Machine Learning Method

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2022, Volume and Issue: 8(6), P. 599 - 608

Published: Feb. 22, 2022

Language: Английский

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Exaggerated amygdala response to threat and association with immune hyperactivity in depression

Brain Behavior and Immunity, Journal Year: 2022, Volume and Issue: 104, P. 205 - 212

Published: May 27, 2022

Language: Английский

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Can we diagnose mental disorders in children? A large‐scale assessment of machine learning on structural neuroimaging of 6916 children in the adolescent brain cognitive development study

JCPP Advances, Journal Year: 2023, Volume and Issue: 3(4)

Published: June 28, 2023

Abstract Background Prediction of mental disorders based on neuroimaging is an emerging area research with promising first results in adults. However, the unique demographic children underrepresented and it doubtful whether findings obtained adults can be transferred to children. Methods Using data from 6916 aged 9–10 multicenter Adolescent Brain Cognitive Development study, we extracted 136 regional volume thickness measures structural magnetic resonance images rigorously evaluate capabilities machine learning predict 10 different psychiatric disorders: major depressive disorder, bipolar disorder (BD), psychotic symptoms, attention deficit hyperactivity (ADHD), oppositional defiant conduct post‐traumatic stress obsessive‐compulsive generalized anxiety social disorder. For each performed cross‐validation assessed models discovered a true pattern via permutation testing. Results Two detected statistical significance when using advanced that (i) allow for non‐linear relationships between neuroanatomy (ii) model interdependencies disorders, (iii) avoid confounding due sociodemographic factors: ADHD (AUROC = 0.567, p 0.002) BD 0.551, 0.002). In contrast, traditional perform consistently worse only 0.529, Conclusion While modest absolute classification performance does not warrant application clinic, our provide empirical evidence embracing explicitly accounting complexities discover patterns would remain hidden models.

Language: Английский

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Enhancing task fMRI individual difference research with neural signatures

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

Published: Jan. 31, 2025

Abstract Task-based functional magnetic resonance imaging (tb-fMRI) has advanced our understanding of brain-behavior relationships. Standard tb-fMRI analyses suffer from limited reliability and low effect sizes, machine learning (ML) approaches often require thousands subjects, restricting their ability to inform how brain function may arise contribute individual differences. Using data 9,024 early adolescents, we derived a classifier (‘neural signature’) distinguishing between high working memory loads in an emotional n-back fMRI task, which captures differences the separability activation two task conditions. Signature predictions were more reliable had stronger associations with performance, cognition, psychopathology than standard estimates regional activation. Further, signature was sensitive required smaller training sample (N=320) ML approaches. Neural signatures hold tremendous promise for enhancing informativeness research revitalizing its use.

Language: Английский

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Fractal complexity of spontaneous brain activity and the effect of scanning parameters

Advances in Continuous and Discrete Models, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Feb. 10, 2025

Language: Английский

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