Danielle S. Bassett

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.

This study examines how control energy in brain networks changes over time in older adults at risk for Alzheimer's disease, finding specific patterns linked to cognitive performance and biomarkers.

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

The paper analyzes longitudinal histopathology data to show that α-synuclein pathology follows rise-and-fall dynamics, revealing a vulnerability axis linked to energy metabolism and monoaminergic neurons.

This study uses network control theory and developmental MRI to show how brain structural maturation supports cognitive development, finding decreasing control energy for most cognitive tasks and varying optimal efficiency ages across cognitive functions.

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

The paper investigates how neural responses differ during learning of modular and non-modular graph structures using fMRI data, finding distinct connectivity patterns associated with performance on different graph types.

This study examines neural dynamics during the generation and evaluation of creative and non-creative ideas using functional MRI and network neuroscience methods, finding higher network reconfiguration during creative idea generation.

The paper investigates how humans learn successor representations using trial-by-trial reaction times in graph sequence learning tasks, finding that eligibility trace mechanisms play a predominant role.

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 investigates how neural dynamics in depression and anxiety contribute to the persistence of perseverative thought using fMRI and network control theory.

The paper identifies robust sex differences in personalized functional brain network topography in youth, linked to X-linked genes and brain regions involved in psychiatric disorders.

The paper uses a computational model to show neuronal activity and amyloid-beta drive tau seeding in the entorhinal cortex, linking these factors to early Alzheimer's disease pathology.

The paper analyzes citation gender imbalances in high-impact neuroscience journals, finding persistent and increasing disparities favoring men, especially in prestigious journals.

The paper shows that the structure of a temporal sequence affects how well stimuli are represented in the brain, with modular graphs leading to better prediction and higher dimensionality in visual areas.

The paper identifies group II p21-activated kinases as regulators of α-synucleinopathy by linking network vulnerability analysis to gene expression and pharmacological interventions.

This paper introduces a method to analyze functional brain networks by treating network diagnostics as functions of parameters, enabling regression and alignment with cognitive performance measures.

This study shows that sex and gender are associated with distinct functional brain networks in children, with sex linked to unimodal networks and gender to heteromodal networks.

The paper shows thalamocortical connections develop along a sensorimotor-association gradient in youth, linking structural connectivity to cortical plasticity and environmental sensitivity.

This study shows that LRRK2 kinase inhibition reverses tau pathology progression in mice with the G2019S mutation but not in wildtype mice.

This study evaluates head motion correction methods in diffusion MRI, showing both Eddy and SHORELine perform well but are affected by denoising and sampling schemes.

XCP-D provides a standardized, reproducible post-processing pipeline for fMRI data, supporting multiple pre-processing pipelines and BIDS best practices.

This study uses neuronal avalanches to improve brain-computer interfaces by showing their task-specific differences can be decoded better than current methods.

The paper challenges the assumption that nonlinear models are necessary for whole-brain dynamics by showing linear models achieve better fit, simplicity, and interpretability in resting state fMRI and iEEG data.

This study shows that myelination and excitation-inhibition balance influence structure-function coupling in the human cortex, with myelination becoming more important in agranular regions.

This paper introduces a framework for applying network control theory to the human structural connectome to study neural dynamics and control energy, controllability, and their correlations with behavior and mental health.

The paper investigates how functional connectivity patterns in brain networks predict symptoms of borderline personality disorder in adolescents and young adults using fMRI data.

This study uses network control theory to examine how alprazolam affects persistence energy during emotion processing in schizophrenia relatives, revealing compensatory mechanisms and neuromodulatory relationships.