Alex Leow

This paper introduces instantaneous frequency as a biomarker for dynamic brain networks, showing it can distinguish clinical and demographic groups in neurodegenerative conditions.

The paper uses a Kuramoto phase oscillator model with hybrid resting-state structural connectomes to simulate functional connectomes that align with observed data.

The paper examines how AD risk factors relate to hippocampal excitation-inhibition balance in cognitively normal individuals, finding sex-specific differences and effects of APOE-ε4.

The paper introduces rest2vec, a graph embedding method for analyzing resting-state functional connectomes, preserving correlative information and improving functional module assignment.

The paper uses Thought Chart to analyze functional brain connectivity differences between meditation groups and non-meditators during specific tasks.

This study identifies potential depression and antidepressant-response biomarkers in human lymphoblast cell lines from treatment-responsive and treatment-resistant subjects, showing effects of SSRIs and omega-3 PUFAs on gene expression and cAMP pathways.