Papers
1
Total Citations
10
H-Index
1
About
Yidong Hu is a rising researcher in affective neuroscience and brain-computer interfaces, whose work explores how emotional states—particularly depressive emotion—impact spatial cognition and neural dynamics. In their most-cited study, “EEG Network Analysis of Depressive Emotion Interference Spatial Cognition Based on a Simulated Robotic Arm Docking Task” (2023, 10 citations), Hu investigates the brain network mechanisms underlying spatial cognition impairment in individuals with subclinical depressive symptoms. By employing EEG network analysis during a robotic arm docking task, they reveal how depressive emotion disrupts functional connectivity patterns, offering novel insights into the neural signatures of mood-cognition interactions. This work bridges clinical psychology and neuroengineering, with implications for developing real-time cognitive monitoring tools and adaptive brain-computer interfaces. Though early in their career, Hu’s focused contributions to understanding emotion-cognition coupling through network neuroscience have already garnered attention, positioning them as a promising voice in translational affective science. Their research holds potential for advancing non-invasive biomarkers of subclinical depression and informing interventions for spatial cognitive deficits.
Research Focus
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Top Papers
- 1