Ally Dworetsky

Functional brain organization is stable within individuals across years

The paper shows that functional brain networks remain stable in healthy young adults over years, suggesting persistent individual brain organization.

Precision fMRI reveals densely interdigitated network patches with conserved motifs in the lateral prefrontal cortex

The paper uses precision fMRI to reveal individual-specific, fragmented, and interdigitated network patches in the lateral prefrontal cortex, showing conserved motifs and distinct functional boundaries not visible in group-averaged data.

Parallel processing chains span cytoarchitectures to organize association cortex

The paper identifies parallel processing chains in association cortex using multiple functional mapping modalities, showing they are experience-driven and organized across different cytoarchitectures.

Towards Precision Functional Brain Network Mapping in Parkinsons Disease

This study evaluates the feasibility and reliability of precision resting state functional connectivity (RSFC) in Parkinson's disease (PD) and finds it produces reliable, stable network measures comparable to healthy controls.

Two common and distinct forms of variation in human functional brain networks

This paper identifies two distinct forms of variation in human functional brain networks: border shifts and ectopic intrusions, which differ in location, network associations, and behavioral predictions.

Brain hubs defined in the group do not overlap with regions of high inter-individual variability

The paper investigates the relationship between brain hubs and inter-individual variability, finding that group hubs defined by participation coefficient are consistent across individuals, while other hub measures show higher correspondence to individual variability.

Hemispheric Asymmetries of Individual Differences in Functional Connectivity

The paper examines hemispheric differences in network variants from resting-state fMRI data, finding asymmetries in variant locations and their relation to lateralized traits.

The cingulo-opercular network is composed of two distinct sub-systems

This paper identifies two distinct sub-systems within the cingulo-opercular network using fMRI data, showing differential roles in task control and other cognitive/motor functions.

BOLD cofluctuation 'events' are predicted from static functional connectivity

The paper examines whether high cofluctuation 'events' in fMRI data uniquely drive functional connectivity or arise from sampling variability in a static signal.

Masked features of task states found in individual brain networks

This paper shows that individual-specific features of brain states during tasks are more robust than cross-subject features, using fMRI data from single-person datasets.

A Precision Functional Atlas of Network Probabilities and Individual-Specific Network Topography

The paper develops a precision functional brain atlas to capture individual-specific network topography and demonstrates its utility in generating reproducible statistical maps of brain function.

Probabilistic mapping of human functional brain networks identifies regions of high group consensus

The paper probabilistically maps human functional brain networks to identify regions of high inter-subject consensus across multiple datasets.

Network variants are similar between task and rest states

The paper shows network variants identified from task data are similar to those from rest states, supporting their trait-like nature.

Cognitive Deficits and Altered Functional Brain Network Organization in Pediatric Brain Tumor Patients

This study examines functional brain network changes and cognitive impairments in pediatric brain tumor patients, finding altered network organization and its link to cognitive performance.

Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity

This paper identifies and removes high-frequency motion artifacts in single-band fMRI data, improving motion estimates and reducing data loss without biasing functional connectivity.