Danielle S. Bassett

This study tracks cortical activity propagations in youth, finding increased top-down propagations with cognitive control demands and development.

This study identifies atypical intrinsic neural timescales in temporal lobe epilepsy, showing reduced timescales in multiple brain regions and high accuracy in classifying patients and lateralizing seizure foci.

This study links individual differences in delay discounting to specific patterns of dorsal prefrontal cortex connectivity in youth using resting-state fMRI.

The paper uses network control theory to show that bottom-up signaling across the sensory-fugal axis of the human connectome requires less energy than top-down signaling.

The paper uses network theory to predict compression levels in neural circuits and finds differences in dimensionality and representational capacity across brain regions and behaviors.

This study investigates functional brain network development in children aged 4-10, finding age-related segregation and integration patterns that challenge classical theories of cortical maturation.

The paper identifies preparatory neural states associated with cognitive control by analyzing white matter communicability in human intracranial recordings.

The paper shows that external inputs affect BOLD signal non-stationarity and presents a method to estimate these inputs using in silico models and fMRI data.

The paper shows that intrinsic brain activity decreases along a sensorimotor-association cortical axis during human development, with reduced activity in disadvantaged youth.

The paper introduces CoCoA, a statistical framework to estimate conditional correlations and association sizes, demonstrating its effectiveness in neurocognitive data analysis.

The paper investigates whether proxy measures of neural plasticity in the human frontoparietal system predict learning outcomes after short-term training.

This study shows that transcranial magnetic stimulation (TMS) applied to the ventrolateral prefrontal cortex (vlPFC) modulates amygdala activity via cortical-subcortical connections, suggesting potential therapeutic applications for affective disorders.

This study links individual mobility patterns to mood, sleep, and brain connectivity by identifying unique mobility footprints.

The paper examines how individual differences in functional brain network topography relate to psychopathology dimensions in youth using machine learning and fMRI data.

The paper analyzes multi-scale functional brain networks in youths to identify developmental patterns of network re-organization and their cognitive implications.

This study identifies scanner effects in brain community detection and proposes new harmonization methods to reduce these effects in functional connectivity analysis.

The paper proposes a framework for selecting brain atlases to maximize their descriptive, explanatory, and predictive validity in studying neurological function and epilepsy.

The paper uses calcium imaging to study brain-wide visual habituation networks in zebrafish, finding altered network dynamics in fmr1 mutants linked to slower habituation.

This study links cognitive map formation during sequence learning to neural activity in the temporal lobe using behavioral modeling and iEEG recordings.

The paper uses a multilayer network model to study neuron-astrocyte interactions in vitro, finding that mGluR5 inhibition protects against traumatic injury effects on neuronal networks.

This study identifies functional brain network communities in children using fMRI data, finding similar structures to adults in early-developing regions but differences in transmodal areas and higher uncertainty in limbic and cingulo-opercular regions.

The paper investigates how structural brain networks influence functional dynamics through network controllability, finding that boundary controllability mediates the relationship between structural participation and functional flexibility.

The paper develops a theory of efficient coding in brain networks and shows that structural connectivity balances information fidelity and compression, predicting behavior and explaining biological organization.

This study identifies altered functional brain dynamics in 22q11.2DS during facial affect processing using fMRI, showing preserved early visual and insular activation but diminished motor feedback and emotional memory signals.

The paper shows that EI imbalance during seizures disrupts whole-brain critical dynamics by reorganizing neural networks, leading to chaotic and less stable brain states.

This study uses network control theory to analyze energy dynamics in temporal lobe epilepsy, finding increased control energy requirements and metabolic asymmetry in affected brain regions.

This study evaluates how different functional connectivity measures in resting-state fMRI data are affected by motion artifacts and finds that partial correlation is most robust.

DotMotif is an open-source tool that enables efficient subgraph isomorphism search and graph queries in connectomics data, demonstrated on simulated and real datasets.

This study shows tau pathology spreads along anatomical brain connections and a LRRK2 mutation alters its directionality in mice.

This study examines how interictal epileptiform discharges (IEDs) affect functional connectivity in intracranial EEG data across different frequency bands and identifies key predictors of these changes.