Russell Taki Shinohara

This study examines insula functional connectivity development across 562 individuals, showing spatially heterogeneous changes aligned with an antero-posterior axis.

This study investigates olfactory deficits and structural anomalies in the olfactory system among individuals with 22q11.2 deletion syndrome compared to psychosis spectrum and typically developing controls.

The paper introduces a multimodal MRI dataset to evaluate myelin-sensitive imaging methods across test-retest acquisitions and metrics.

Resting-state fMRI intrinsic timescale lengthens with age in association, not sensorimotor, cortex during ages 8-22, following the sensorimotor-association axis in two cohorts; it is largely age-stable in young adults.

The paper introduces a statistical test to detect confounding effects in multimodal neuroimaging data by assessing covariate influences on intermodal correspondence.

CranioTrace automates head circumference and cranial shape measurement from neuroimaging, enabling population growth modeling and identifying disease-related growth trajectory shifts.

The paper shows that white matter tracts are positioned within the cortical hierarchy to support specific cognitive functions and connect regions with greater cognitive diversity.

The PMADS Project tracks neurobiological and clinical changes in high-risk individuals across the perinatal period to identify biomarkers linking brain plasticity to PMADs risk.

The paper introduces a longitudinal data resource combining multimodal imaging and cognitive phenotyping to study brain development and EF variation in adolescents.

The paper models age-varying sex differences in brain structure using MRI data from 100,000 individuals, showing consistent sex biases that increase with age and are influenced by neuropsychiatric disorders.

ComBatFamQC provides an R package for batch-effect diagnosis and harmonization in neuroimaging data, integrating visualization, statistical tests, and harmonization methods.

The paper identifies two neuroanatomical subtypes of callous-unemotional traits using machine learning in a community sample of youth, showing distinct clinical and environmental profiles.

The paper develops and evaluates new batch effect correction methods for neuroimaging data that account for spatial correlations, showing improved performance over existing methods.

This study links childhood environmental exposures to white matter structure in children, showing that advantaged environments correlate with larger white matter tracts and reduced orientation dispersion.

The paper presents a curated dataset of processed diffusion MRI data from the ABCD Study, showing that specific diffusion metrics are sensitive to adolescent white matter development and robust to image quality variation.

The paper introduces BatchQC, an R package for assessing and correcting batch effects in high-throughput data with reproducible tools and workflows.

This study identifies two axes of white matter development in human cortico-cortical tracts using diffusion MRI across three datasets, revealing non-uniform maturation patterns.

This study identifies subtypes of functional connectivity development in youth using fMRI data, revealing spatial patterns linked to cognitive performance and gene expression.

The paper introduces conditional-longitudinal models to analyze brain growth trajectories and finds associations between birth weight, psychopathology, and brain volume changes in adolescents.

This study shows white matter signals during seizures reflect communication between brain regions and differentiate epilepsy pathophysiologies, challenging past assumptions about their limited value.

This study shows stimulant medications affect brain connectivity in action/motor and reward-related regions, not attention networks, and mimic the effects of sleep.

This study introduces an interpretable predictive model to identify functional connectivity patterns predictive of cognitive traits in youth, showing improved accuracy and fine-grained characterization.

The paper introduces Reproducible Brain Charts (RBC), an open data resource integrating brain development data from 6,346 youth, showing the benefits of harmonized phenotypes and reproducible processing for studying psychopathology.

This paper evaluates ODF reconstruction methods for single-shell dMRI, finding SS3T provides reliable and predictive WM bundle segmentation with lower angular resolution data.

This study examines changes in brain connectivity and neurovascular dynamics during dexmedetomidine-induced unconsciousness and recovery, finding widespread connectivity decreases and cerebellum-specific increases in structure-function coupling.

This study identifies shared genetic loci between psychiatric disorders and cortical brain structure using genome-wide association data from over 700,000 individuals.

This paper introduces a self-supervised method to measure dependencies between biological signals and highlights its limitations in capturing extraneous dependencies.

This paper presents a normative framework for brain asymmetry across the lifespan using a large neuroimaging dataset, revealing distinct spatial patterns and providing tools for clinical and research applications.

This paper develops a harmonization framework for structural connectomes to reduce site-related biases, showing that gamma-GLM improves generalizability and statistical power in multi-site analyses.

BARTharm improves MRI data harmonization by using image quality metrics and Bayesian non-parametric models, outperforming ComBat in removing scanner-induced bias while preserving biological signals.