BHRC Research Data Guide
Public aggregate summaries
11 BHRC neuroimaging publications
Curated by: Lucas Toshio Ito - UNIFESP
lucas.toshio.ito@gmail.com
Literature reviewed through August 22, 2026
This page lists publications verified as using MRI data from the Brazilian High-Risk Cohort for Mental Health Conditions (BHRC).
11.1 Cohort and neuroimaging documentation
| Authors, year and link | Publication | Use of BHRC data |
|---|---|---|
| Salum et al. (2015) | High risk cohort study for psychiatric disorders in childhood: rationale, design, methods and preliminary results | Original sampling and baseline multimodal MRI design, including T1, diffusion MRI, resting-state fMRI, and magnetization transfer. |
| Salum et al. (2025) | Cohort Profile: Brazilian High-Risk Cohort for Mental Health Conditions | Updated cohort waves, retention, access procedures, and multimodal overview. |
11.2 BHRC structural MRI studies
| Authors, year and link | Publication | Use of BHRC data |
|---|---|---|
| Axelrud et al. (2018) | Polygenic Risk Score for Alzheimer’s Disease: Implications for Memory Performance and Hippocampal Volumes in Early Life | Hippocampal volumes derived using MAGeT. |
| de Araujo et al. (2018) | Effects of the brain-derived neurotrophic factor variant Val66Met on cortical structure in late childhood and early adolescence | Baseline cortical thickness. |
| de Araujo et al. (2020) | Are serum brain-derived neurotrophic factor concentrations related to brain structure and psychopathology in late childhood and early adolescence? | Cortical thickness and subcortical volumes. |
| Axelrud et al. (2021) | Neuroimaging Association Scores: reliability and validity of aggregate measures of brain structural features linked to mental disorders in youth | Cortical and subcortical FreeSurfer measures used to construct and validate aggregate structural scores. |
| Manfro et al. (2021) | Testing the Stability and Validity of an Executive Dysfunction Classification Using Task-Based Assessment in Children and Adolescents | Intracranial volume and regional cortical surface area used as external validators. |
| Salto et al. (2021) | Obsessive-Compulsive Symptoms, Polygenic Risk Score, and Thalamic Development in Children From the Brazilian High-Risk Cohort for Mental Conditions | Longitudinal thalamic volume change. |
| Borges et al. (2023) | Deviations from a typical development of the cerebellum in youth are associated with psychopathology, executive functions and educational outcomes | Cerebellar volume derived using MAGeT. |
| Mendes et al. (2023) | Generalizability of 3D CNN models for age estimation in diverse youth populations using structural MRI | Whole-brain T1 images used for convolutional neural-network age estimation. |
| Mendes et al. (2024) | GPT-based normative models of brain sMRI correlate with dimensional psychopathology | Structural MRI used to train and evaluate individualized gray-matter normative models. |
| Grevet et al. (2024) | The association between duration of breastfeeding and the trajectory of brain development from childhood to young adulthood: an 8-year longitudinal study | Longitudinal global cortical thickness, surface area, and intracranial volume. |
| Doretto et al. (2024) | Childhood maltreatment and the structural development of hippocampus across childhood and adolescence | Three-wave bilateral hippocampal volumes. |
| Duarte et al. (2025) | Enhanced neurobiological biomarker differentiation for attention-deficit/hyperactivity disorder through a risk-informed design | Subcortical volumes evaluated alongside PGS and executive function in an ADHD risk-informed design. |
| Trejos-Castillo et al. (2025) | Can socioeconomic status moderate the effect of a conflictive family environment on brain structure and externalizing/internalizing behavior in children and adolescents? | Amygdala and hippocampal volumes. |
| Salto et al. (2025) | Machine learning for anxiety diagnosis using structural MRI does not generalize to unseen data: results from a large developmental cohort | Regional structural features used for feature selection and generalizability testing. |
11.3 BHRC diffusion MRI studies
| Authors, year and link | Publication | Use of BHRC data |
|---|---|---|
| Moura et al. (2016) | Age-effects in white matter using associated diffusion tensor imaging and magnetization transfer ratio during late childhood and early adolescence | Diffusion and magnetization-transfer measures used to characterize age-related white-matter differences. |
| de Moura et al. (2016) | Children with Poor Reading Skills at the Word Level Show Reduced Fractional Anisotropy in White Matter Tracts of Both Hemispheres | Fractional anisotropy compared between children with poorer and typical word-level reading skills. |
| Moura et al. (2017) | Coordinated brain development: exploring the synchrony between changes in grey and white matter during childhood maturation | Fractional anisotropy and cortical thickness used to study coordinated white- and gray-matter development. |
| van Velzen et al. (2025) | Transdiagnostic alterations in white matter microstructure associated with suicidal thoughts and behaviours in the ENIGMA Suicidal Thoughts and Behaviours consortium | BHRC Porto Alegre diffusion measures contributed to the multicohort analysis of suicidal thoughts and behaviors. |
11.4 BHRC resting-state functional MRI studies
| Authors, year and link | Publication | Use of BHRC data |
|---|---|---|
| Sato et al. (2014) | Age effects on the default mode and control networks in typically developing children | Resting state connectivity used to characterize age-related development of default-mode and control networks. |
| Sato et al. (2015) | Decreased centrality of subcortical regions during the transition to adolescence: a functional connectivity study | Eigenvector centrality used to examine developmental changes in cortical and subcortical network organization. |
| Sato et al. (2015) | Temporal stability of network centrality in control and default mode networks: Specific associations with externalizing psychopathology in children and adolescents | Network centrality and externalizing psychopathology. |
| Sato et al. (2016) | Default mode network maturation and psychopathology in children and adolescents | Default-mode-network maturation using fractional amplitude of low-frequency fluctuations. |
| Sato et al. (2016) | Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation | Eigenvector-centrality hubs across the two study sites. |
| Pan et al. (2017) | Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample | Baseline ventral-striatal connectivity used to predict later depression. |
| Sato et al. (2018) | Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning | Graph-based resting state connectivity used to identify atypical network patterns associated with psychopathology. |
| Hoexter et al. (2018) | Low frequency fluctuation of brain spontaneous activity and obsessive-compulsive symptoms in a large school-age sample | Resting-state low-frequency activity and obsessive-compulsive symptoms. |
| Axelrud et al. (2019) | Genetic risk for Alzheimer’s disease and functional brain connectivity in children and adolescents | Alzheimer’s disease polygenic risk and resting-state connectivity. |
| Sato et al. (2019) | Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents | Relation between two resting state measures, fractional amplitude of low-frequency fluctuations and degree centrality. |
| Sato et al. (2019) | Associations between children’s family environment, spontaneous brain oscillations, and emotional and behavioral problems | Spontaneous brain activity analyzed in relation to family environment and psychopathology. |
| Rebello et al. (2019) | Association between spontaneous activity of the default mode network hubs and leukocyte telomere length in late childhood and early adolescence | Default-mode-network activity and leukocyte telomere length. |
| Biazoli et al. (2020) | Socioeconomic status in children is associated with spontaneous activity in right superior temporal gyrus | Socioeconomic status, spontaneous activity, and behavioral problems. |
| Sato et al. (2021) | Long-term stability of the cortical volumetric profile and the functional human connectome throughout childhood and adolescence | Longitudinal cortical volumes and resting state connectomes used to evaluate within-participant stability. |
| Rebello et al. (2022) | Associations between Family Functioning and Maternal Behavior on Default Mode Network Connectivity in School-Age Children | Within-network default-mode connectivity and family environment. |
| Dos Santos et al. (2022) | Assessing atypical brain functional connectivity development: An approach based on generative adversarial networks | Resting state connectivity used to model typical development and quantify individual deviations. |
| Sato et al. (2023) | Polygenic risk score for attention-deficit/hyperactivity disorder and brain functional networks segregation in a community-based sample | Longitudinal network segregation, ADHD polygenic risk, and symptoms. |
11.6 Preprints
| Authors, year and link | Publication | Use of BHRC data |
|---|---|---|
| Mansour et al. (2025) | Spectral normative modeling of brain structure | Shared structural derivatives contributed to large-scale normative modeling. |
| Jones et al. (2025) | Improved Estimation of Correlation Accuracy for Machine Learning Brain-Phenotype Associations | Reproducible Brain Charts derivatives used to evaluate prediction-accuracy estimators. |