Annie Zheng

Brain organization of a memory champion

This study maps the brain organization of a memory champion using functional MRI, revealing enhanced connectivity and unique modules related to memory techniques.

Motion Impact Score for Detecting Spurious Brain-Behavior Associations

The paper introduces SHAMAN, a method to assess motion impact on brain-behavior associations in fMRI studies, finding significant motion overestimation and underestimation in various traits.

Using synthetic MR images for field map-less distortion correction

This paper introduces Synth, a field map-less distortion correction method for fMRI data, showing comparable or better performance than field map-based approaches in pediatric and adult datasets.

A mind-body interface alternates with effector-specific regions in motor cortex

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

Parallel Hippocampal-Parietal Circuits for Self- and Goal-oriented Processing

The paper identifies distinct functional connectivity patterns in the hippocampus, showing anterior regions connect to the default mode network and posterior regions connect to the parietal memory network, supporting different cognitive processes.

Human Fronto-Striatal Connectivity is Organized into Discrete Functional Subnetworks

This study identifies individual-specific discrete subnetworks of human cortico-striatal connectivity, revealing a stepped rostral-caudal gradient including previously unknown language network connections.

Cingulo-Opercular Control Network Supports Disused Motor Circuits in Standby Mode

The paper shows that disused motor regions become more connected to the cingulo-opercular network during limb constraint, mediated by spontaneous activity pulses.

Precision Diffusion Imaging

This study evaluates diffusion imaging methods for individual-specific precision, finding that BaMM reduces overfitting and achieves better crossing-fiber accuracy with more data.

Towards Reproducible Brain-Wide Association Studies

Brain-behaviour correlations in ABCD are tiny (median |r|=0.01), so samples of typical size (N=25) give inflated, irreproducible results; estimates only stabilise around N⪆2,000.