Bin Lu

Neural Representations of Self-Generated Thought during Think-aloud fMRI

This study investigates brain activation during think-aloud fMRI, finding that self-generated thoughts engage widespread brain regions and are represented across multiple neural scales.

A Practical Alzheimer Disease Classifier via Brain Imaging-Based Deep Learning on 85,721 Samples

This paper develops a deep learning classifier for Alzheimer's disease using brain MRI data from 85,721 scans, achieving high accuracy across multiple independent datasets.

Stability of dynamic functional architecture differs between brain networks and states

The paper examines the stability of dynamic functional connectivity in different brain regions and states, finding that higher-order networks show greater stability than primary sensory-motor areas during resting and movie watching.

Physiological Significance of R-fMRI Indices: Can Functional Metrics Differentiate Structural Lesions (Brain Tumors)?

This study evaluates whether R-fMRI indices can differentiate brain tumors from normal tissue and finds that ALFF and VMHC, with Z-standardization, are effective in this task.

Reproducibility of R-fMRI Metrics on the Impact of Different Strategies for Multiple Comparison Correction and Sample Sizes

This study evaluates how multiple comparison correction strategies and sample sizes affect reproducibility of R-fMRI metrics, finding that permutation tests with TFCE balance error rates and reliability, while larger samples improve replicability.