Alan Anticevic

This study shows ketamine broadens neural spatial tuning and impairs spatial working memory in healthy humans, linking NMDAR antagonism to cortical microcircuit disruptions.

This paper introduces a Hodge-Laplacian framework to analyze higher-order topology in OCD brain networks, identifying loop-level abnormalities not detectable by conventional functional connectivity analysis.

QuNex Recipes provide a framework for creating executable, human-readable workflows to ensure reproducibility in neuroimaging research.

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

The paper identifies brain activity patterns associated with individual differences in spatial working memory strategies, showing distinct engagement of control and default networks for fine-grained vs. categorical representations.

This study investigates how ketamine induces distinct whole-brain functional connectivity patterns in individuals and links these patterns to gene expression and behavioral responses.

The paper evaluates the stability of CCA and PLS in high-dimensional datasets, finding instability in small samples and proposing a power calculator for reliable multivariate analysis.

The paper develops a biophysically-based circuit model to capture individual variation in cortical functional connectivity using resting-state fMRI data from the Human Connectome Project.

The paper investigates brain-behavior associations using resting-state functional connectivity edges, finding that diverse edges are more informative than uniform ones, but using all edges provides the best generalizability.

The paper analyzes neural state-trait variations in healthy young adults using resting-state fMRI to identify reproducible co-activation patterns linked to behavioral and cognitive features.

This study compares volume-based, surface-based, and personalized surface-based approaches to identify dysconnectivity patterns in schizophrenia spectrum disorders using resting-state fMRI.

The study quantifies corticothalamic connectivity patterns in humans and macaques, revealing distinct spatial extents associated with sensorimotor and associative cortical areas.

The paper shows spatial and temporal autocorrelation explain network topology measures in rs-fMRI data and how they change with aging and drug treatment.

QuNex provides a platform for reproducible neuroimaging analytics, integrating multi-modal tools and enabling scalable, high-throughput processing across species and datasets.

The paper compares static and dynamic functional connectivity methods in fMRI, finding that dynamic estimates capture similar information to static ones.

This study investigates how disruptions in the excitation-inhibition balance affect decision-making in a cortical circuit model, finding that both elevated and reduced E/I ratios impair decision-making in distinct ways.

The paper develops a stable brain-behavior space mapping for psychosis-spectrum disorders using symptom and brain data, showing univariate approaches outperform multivariate ones for individualized prediction.

The paper investigates how abnormal activity flow in brain networks contributes to cognitive dysfunction in schizophrenia using fMRI data and activity flow mapping.

The paper integrates transcriptomics with large-scale cortical modeling to simulate LSD's effects on brain function, revealing serotonin-2A receptor-mediated changes in cortical connectivity.

This study uses fMRI and a computational model to show that affective and task-similar distractors differentially impact working memory through distinct neural mechanisms.

This study identifies white matter microstructural alterations in adult OCD patients and links them to clinical features, while finding no such abnormalities in pediatric patients.

The paper analyzes sex differences in brain structure variability across the lifespan using a large dataset, finding greater male variability in subcortical volumes, cortical surface area, and thickness in most regions.

The paper finds that whole-brain functional network organization is similar across mental disorders and healthy controls, but subtle differences predict diagnosis.

The paper introduces a generative null model to create spatially autocorrelated surrogate brain maps for hypothesis testing in brain organization studies.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper introduces ciftify, a framework to adapt HCP surface-based analysis methods to legacy MR data using CIFTI format.

The paper develops a dynamical circuit model of human cortex incorporating hierarchical heterogeneity to better explain large-scale neural dynamics and functional connectivity.

The paper examines longitudinal changes in resting-state brain networks in individuals at clinical high risk for psychosis and finds reduced network efficiency and increased diversity in those who later develop psychosis.

The paper identifies brain-wide bi-directional connectivity alterations in cortico-striato-cerebellar circuits in schizophrenia using resting-state fMRI and validates findings with clustering and classification methods.

This study shows that LSD-induced changes in brain connectivity are mediated by the 5-HT2A receptor, as demonstrated by the blocking effect of a 5-HT2A antagonist.