Lin Hua

This study maps brainstem-cortical connectivity in aging and prodromal synucleinopathy, finding distinct pathway vulnerabilities in each condition.

This study identifies reduced BOLD-CSF coupling as a biomarker for Primary Progressive Aphasia, linking glymphatic dysfunction to clinical and structural brain changes.

The paper examines scale-free dynamics in cerebrospinal fluid regions and finds higher Hurst exponents in Alzheimer's Disease patients compared to cognitively normal individuals, correlating with AD biomarkers.

This study links regional glymphatic dysfunction to SCA3 pathophysiology by showing impaired glymphatic markers and their correlation with disease severity.

This study uses behavioral modeling and multimodal neuroimaging to show that internet gaming disorder is associated with increased risk-taking behavior and altered brain activation patterns in response to feedback.

This study investigates how word structure affects brain activity in Chinese speakers using EEG and fNIRS, finding distinct patterns for morphological priming and word structure effects.

This study uses individual-specific functional connectivity and machine learning to detect and predict Alzheimer's disease symptoms in elderly people with and without APOE ε4 allele.

The paper investigates how the brain processes proximity and similarity grouping principles in visual perception using EEG and MVPA, finding dissociated neural stages for each principle.

The paper shows that METH learning causes long-lasting NMII-dependent spine motility in BLA neurons, which can be reversed by NMII inhibition.