Lucina Q. Uddin

The paper examines whether increased salience network surface area in adolescents is specific to depression or a general marker of psychopathology, finding stronger associations with overall psychopathology than depression alone.

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

The paper identifies distinct transcriptomic and hierarchical brain organization associated with hyperconnectivity and hypoconnectivity in autism spectrum disorder, showing they are separate phenomena rather than opposing aspects of a single process.

This paper models the brain as a multiplex network to show that healthy aging involves a progressive divergence between structural and functional connectomes, with subcortical hubs showing significant age-related decoupling.

This study evaluates deep learning models for predicting task activation from resting-state fMRI, finding that architectural changes improve efficiency without sacrificing accuracy.

The paper identifies neurotransmitter systems linked to specific symptom dimensions in early psychosis using neuroimaging and PET data.

This study examines how arousal states affect brain network switching rates and their relationship with cognitive task performance using fMRI, EEG, and eye tracking.

The paper predicts chronological age from whole-brain fMRI-physiology coupling patterns, showing brain regions involved in autonomic regulation are key predictors.

The paper identifies a transdiagnostic functional connectivity pattern in early psychosis linked to cognitive inflexibility and arousal dysregulation across different diagnoses.

This paper validates data-driven factor models over RDoC-based models using fMRI and behavioral data, showing better reproducibility and clinical relevance across neural and behavioral domains.

The paper uses fMRI to compare brain state dynamics between active and lecture-based physics learning, finding distinct neural patterns associated with each approach.

The paper examines how stable and changing brain network features predict cognitive development in adolescents using rs-fMRI and cognitive data from the ABCD Study.

The paper introduces the Network Correspondence Toolbox (NCT) to evaluate spatial correspondence between novel neuroimaging results and existing brain atlases, enabling standardized reporting and comparison across studies.

The paper creates a reference atlas of functional brain networks for typically developing adolescents using resting-state fMRI data and identifies age-related changes and sex effects.

This study validates the RDoC framework using a latent variable approach, showing a bifactor model better fits fMRI data than the current framework and highlights underrepresentation of the arousal and regulatory systems domain.

The paper analyzes phrases of the form 'the brain is...' in biomedical literature to explore conceptualizations of the brain, finding diverse metaphors and functions.

This paper creates a whole-brain functional atlas from resting-state fMRI data to standardize terminology and improve consistency across neuroimaging studies.

The paper compares functional brain measures between 22qDel and CHR cohorts, finding distinct patterns of connectivity and variability disruptions.

The paper tests motion-ordering and motion-ordering+resampling methods to retain minoritized youth in fMRI data analysis, improving representation and reproducibility of brain-behavior associations.

This study investigates the variability of fMRI BOLD signals in the human brain, showing it reflects multi-scale brain organization rather than noise.

This study examines age-related changes in thalamocortical functional connectivity in 22q11.2 deletion syndrome and typically developing controls, finding altered developmental trajectories in specific networks.

The paper examines time-varying and stationary brain connectivity during movie watching across childhood to early adulthood, finding age and sex effects are stronger in time-varying connectivity, while stationary connectivity predicts intelligence.

This study identifies widespread brain-body co-fluctuations across multiple physiological systems and shows they are linked to autonomic nervous system activity.

This study links intra-individual variability in cognitive task performance with neural network anticorrelation and predicts future attention problems in adolescents.

This study identifies altered global modular organization in ASD children's brain networks, arising from nodal processing changes, using resting-state fMRI data from ABIDE.

This paper identifies three spatiotemporal patterns that unify diverse resting-state functional MRI phenomena into a parsimonious framework of global brain organization.

The paper shows lifespan changes in global signal topography in the human brain, with distinct patterns in subcortical and cortical regions, suggesting a dual-layer model of the signal.

This study maps structural and functional connectivity of the insular cortex using DTI and RSFC data, revealing associations with brain networks and subregion-specific profiles.

The paper investigates how social, personality, and demographic factors influence brain structure in midlife using UK Biobank data.

In five top neuroscience journals, papers with name-inferred first and last authors of color are under-cited, mostly by White-led teams, and the gap is growing.