Papers
1
Total Citations
10
H-Index
1
About
Li Tong is a rising researcher in affective neuroscience and brain-computer interfaces, with a focus on how emotional states disrupt cognitive and motor functions. Her most-cited work, “EEG Network Analysis of Depressive Emotion Interference Spatial Cognition Based on a Simulated Robotic Arm Docking Task” (2023), has garnered 10 citations and provides novel insights into the neural network mechanisms underlying subclinical depressive emotion (DE) and its impact on spatial cognition. By integrating electroencephalography (EEG) with a robotic arm task, Tong reveals how even mild depressive symptoms can alter brain connectivity patterns, impairing spatial reasoning and motor planning—findings with implications for early diagnosis and neurorehabilitation. Her research bridges clinical psychology and engineering, offering a pathway to more adaptive human-robot interfaces. Tong’s work is notable for its interdisciplinary approach, combining cognitive neuroscience, signal processing, and robotics to address real-world cognitive challenges. As an emerging voice in her field, she continues to explore how brain network dynamics reflect emotional interference, contributing to a deeper understanding of mental health and cognitive performance.
Research Focus
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Top Papers
- 1