Xiuyi Wang

The paper examines how semantic control networks differ in their activation during visual and auditory semantic tasks, finding SCN involvement modulated by task structure and MDN influenced by input modality.

This paper introduces Feature Similarity (FS), a method to measure brain region interactions, showing it captures functional organization and task-specific dynamics better than traditional methods.

This study investigates the functional roles and interactions of the left inferior frontal gyrus, posterior middle temporal gyrus, and dorsal medial prefrontal cortex in semantic control using fMRI and TMS.

This study uses an ontology-guided machine learning approach to identify core functional brain networks for cognition, finding superior predictive performance for cognitive tasks compared to traditional methods.

The paper investigates how brain states adapt to different semantic tasks, showing distinct activation patterns in cognitive control and default mode networks based on task demands.

The paper examines functional transitions in the left temporal lobe related to connectivity gradients and task-based activation patterns.

The paper shows that the frontoparietal control network's topographic organization supports flexible behavior by switching between unified and segregated functional states based on memory needs.

This study compares how older musicians and non-musicians maintain speech perception in noise through functional lateralization preservation or compensation.

This study shows that musical expertise in older adults improves neural alignment with young adults in sensorimotor regions, which predicts better audiovisual speech-in-noise perception.

The paper investigates how semantic control relates to creativity in verbal associations by analyzing neural networks involved in retrieving strongly and weakly related word pairs.

The paper maps lesion locations, structural, and functional disconnection patterns in semantic aphasia to semantic and executive impairments.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

This study investigates how conceptual representations in the brain change with context, finding distinct brain regions involved in maintaining individual word meaning versus context-dependent meaning.

The paper examines neural coding of semantic and non-semantic control demands using fMRI and finds distinct and common patterns in semantic and multiple-demand networks.

The paper investigates the role of default mode and multiple-demand networks in semantic goal information using multivoxel pattern decoding in a semantic feature matching task.

The paper examines how decision-making changes with context familiarity by analyzing neural activity along a gradient from default mode to executive cortex.