Functional connectome through the human life span

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Sept. 13, 2023

The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years 132 global sites. We report critical inflection points in nonlinear curves mean variance connectome, peaking late fourth third decades life, respectively. After constructing a fine-grained, lifespan-wide suite system-level brain atlases, show distinct maturation timelines for segregation within different systems. Lifespan regional connectivity is organized along primary-to-association cortical axis. These connectome-based normative models reveal substantial individual heterogeneities networks patients with autism spectrum disorder, major depressive Alzheimer's disease. findings elucidate evolution can serve as reference quantifying variation development, aging, neuropsychiatric disorders.

Language: Английский

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Parental education and income are linked to offspring cortical brain structure and psychopathology at 9–11 years

JCPP Advances, Journal Year: 2024, Volume and Issue: 4(1)

Published: Feb. 6, 2024

A child's socioeconomic environment can shape central aspects of their life, including vulnerability to mental disorders. Negative environmental influences in youth may interfere with the extensive and dynamic brain development occurring at this time. Indeed, there are numerous yet diverging reports associations between parental status (SES) child cortical morphometry. Most these studies have used single metric- or unimodal analyses standard morphometry that downplay probable scenario where biological pathways

Language: Английский

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Reporting checklists in neuroimaging: promoting transparency, replicability, and reproducibility

Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 50(1), P. 67 - 84

Published: Sept. 6, 2024

Language: Английский

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Psychosis-linked Symptoms and Structural Brain Patterns in Cognitive Subgroups among Familial High-Risk Children in the ABCD Study

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

Published: Feb. 2, 2025

ABSTRACT Objective Children at familial high risk for psychosis (FHR) are substantially increased psychotic disorders and other serious mental illnesses. Identifying subgroups within FHR youth may enhance prediction models to identify children greatest potential intervention. This study investigated psychosis-linked symptoms structural brain patterns in neurocognitive among the Adolescent Brain Cognitive Development (ABCD) Study using baseline, 2-year, 4-year follow-up data. Methods Among with first- second-degree family history of psychosis, were defined NIH Toolbox Battery baseline age-corrected total scores: low (FHR-LC, 0-33%, n=234), moderate (FHR-MC, 33-66%, n=261), (FHR-HC, 66-100%, n=277) cognitive performance. Psychiatric assessed Prodromal Questionnaire-Brief Child Version (PQ-BC) Childhood Behavior Checklist (CBCL). Regional vulnerability indices (SSD-RVIs), which quantify similarity participants’ found adults schizophrenia spectrum disorders, calculated cortical thickness measures following rigorous quality control. Results At FHR-LC had significantly higher PQ-BC CBCL scores, trend-level SSD-RVIs compared FHR-HC. Longitudinally, scores decreased age across all participants, while remained stable. No longitudinal subgroup-by-age interactions observed, indicating that subgroup differences persisted over time. Conclusion who have concurrent poor performance exhibit elevated stable clinical imaging markers. suggests they represent a vulnerability, presenting an opportunity early identification

Language: Английский

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Reproducible Brain Charts: An open data resource for mapping brain development and its associations with mental health

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

Published: Feb. 26, 2025

Major mental disorders are increasingly understood as of brain development. Large and heterogeneous samples required to define generalizable links between development psychopathology. To this end, we introduce the Reproducible Brain Charts (RBC), an open data resource that integrates from 5 large studies in youth three continents ( N =6,346; 45% Female). Confirmatory bifactor models were used create harmonized psychiatric phenotypes capture major dimensions Following rigorous quality assurance, neuroimaging carefully curated processed using consistent pipelines a reproducible manner with DataLad, Configurable Pipeline for Analysis Connectomes (C-PAC), FreeSurfer. Initial analyses RBC emphasize benefit careful assurance harmonization delineating developmental effects associations Critically, all - including phenotypes, unprocessed images, fully imaging derivatives openly shared without use agreement via International Neuroimaging Data-sharing Initiative. Together, facilitates large-scale, reproducible, research neuroscience.

Language: Английский

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Human lifespan changes in the brain’s functional connectome

Nature Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

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A (sub)field guide to quality control in hippocampal subfield segmentation on high‐resolution T₂‐weighted MRI

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(15)

Published: Oct. 15, 2024

Inquiries into properties of brain structure and function have progressed due to developments in magnetic resonance imaging (MRI). To sustain progress investigating quantifying neuroanatomical details vivo, the reliability validity measurements are paramount. Quality control (QC) is a set procedures for mitigating errors ensuring measurements. Despite its importance, there little guidance on best QC practices reporting procedures. The study hippocampal subfields vivo critical case because their small size, inter-dependent boundary definitions, common artifacts MRI data used subfield We addressed this gap by surveying broader scientific community studying views approaches QC. received responses from 37 investigators spanning 10 countries, covering different career stages, both healthy pathological development aging. In sample, 81% researchers considered be very important or important, 19% viewed it as fairly important. this, only 46% reported processes prior publications. many instances, lack appeared ambiguous relevant reporting, rather than absence Here, we provide recommendations correcting maximize minimize bias. also summarize threats segmentation accuracy, review methods, make Implementing recommended will collectively improve inferences larger population, well implications clinical practice public health.

Language: Английский

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Psychiatric Symptoms, Cognition, and Symptom Severity in Children

JAMA Psychiatry, Journal Year: 2024, Volume and Issue: 81(12), P. 1236 - 1236

Published: Aug. 28, 2024

Importance Mental illnesses are a leading cause of disability globally, and functional is often in part caused by cognitive impairments across psychiatric disorders. However, studies have consistently reported seemingly opposite findings regarding the association between cognition symptoms. Objective To determine if general mental health symptoms diverges at different symptom severities children. Design, Setting, Participants A total 5175 children with complete data 2 time points assessed years apart (aged 9 to 11 first assessment) from ongoing Adolescent Brain Cognitive Development (ABCD) study were evaluated for factor September 2016 August 2020 21 sites US. Polynomial generalized additive models afforded derivation continuous associations ranges severity. Data analyzed December 2022 April 2024. Main Outcomes Measures Aggregate test scores (general cognition) primarily relation subscale-specific Child Behavioral Checklist. Results The sample included (2713 male [52.4%] 2462 female [47.6%]; mean [SD] age, 10.9 [1.18] years). Previously mixed may consist several underlying, opposed that depend on class severity Linear recovered differing symptoms, depending range queried. Nonlinear confirm internalizing significantly positively associated low burdens higher = more symptoms) negatively high burdens. Conclusions Relevance this was nonlinear. Internalizing both significant level, queried analysis sample. These results appear reconcile prior studies, which implicitly assume tracks linearly ability entire spectrum health. As be vs samples, these reveal necessity clinical enrichment impairment.

Language: Английский

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A Site‐Wise Reliability Analysis of the ABCD Diffusion Fractional Anisotropy and Cortical Thickness: Impact of Scanner Platforms

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(16)

Published: Nov. 1, 2024

The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection analysis. While multi-scanner design enhances robustness generalizability analysis results, it may also introduce nonbiological variances including scanner-related variations, subject motion, deviations protocols. imaging were collected biennially within a period ongoing maturation in cortical thickness integrity cerebral white matter. These changes can bias classical test-retest methodologies, such as intraclass correlation coefficients (ICC). We developed site-wise adaptive ICC (AICC) to evaluate reliability imaging-derived phenotypes while accounting AICC iteratively estimates population-level age-related development trajectory weighted mixed model updates age-corrected until convergence. evaluated regional fractional anisotropy (FA) measures diffusion tensor (CT) structural each site. mean 20 FA tracts across was 0.61 ± 0.19, lower than CT 34 regions sites, 0.76 0.12. Remarkably, Siemens scanners consistently showed significantly higher values compared with those GE/Philips both (AICC = 0.71 0.12 vs. 0.46 0.17, p < 0.001) 0.80 0.10 0.69 0.11, 0.001). findings demonstrate site-and-scanner related variations quality underscore necessity meticulous curation subsequent association analyses.

Language: Английский

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Parental education and income are linked to offspring cortical brain structure and psychopathology at 9-11 years

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 17, 2023

Abstract Background A child’s socioeconomic environment can shape central aspects of their life, including vulnerability to mental disorders. Negative environmental influences in youth may interfere with the extensive and dynamic brain development occurring at this time. Indeed, there are numerous yet diverging reports associations between parental status (SES) child cortical morphometry. Most these studies have used single metric- or unimodal analyses standard morphometry that downplay probable scenario where biological pathways sum account for SES-related differences youth. Methods To comprehensively capture such variability, using data from 9758 children aged 8.9-11.1 years ABCD Study ® , we employed linked independent component analysis (LICA) fused vertex-wise thickness, surface area, curvature grey-/white-matter contrast (GWC). LICA revealed 70 uni- multimodal components. We then assessed linear relationships education, income each components, controlling age, sex, genetic ancestry, family relatedness. also whether structure moderated negative SES general psychopathology. Results Parental education were both associated larger area higher GWC globally, addition local increases a lesser extent bidirectional thickness patterns. The relation psychopathology attenuated pattern frontal- smaller occipital lower medial GWC. Conclusion Structural MRI is sensitive diversity childhood, emerging as particularly relevant marker together area. In low-income families, having more developed cortex across metrics, appears beneficial health.

Language: Английский

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