Yi Hu

Prof. Yi Hu

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 October 2016 in Human Brain Mapping
Verified
Journal Article
Closed access
PDF file
YPYafeng Pan
Yafeng Pan
XCXiaojun Cheng
Xiaojun Cheng
ZZZhenxin Zhang
Zhenxin Zhang
Xianchun LiXianchun Li
Xianchun Li
YHYi Hu
Yi Hu

17 February 2015 in Human Brain Mapping
Verified
Journal Article
Closed access
XCXiaojun Cheng
Xiaojun Cheng
Xianchun LiXianchun Li
Xianchun Li
YHYi Hu
Yi Hu

1 May 2020 in NeuroImage
Verified
Journal Article
Open access
YPYafeng Pan
Yafeng Pan
SDSuzanne Dikker
Suzanne Dikker
PGPavel Goldstein
Pavel Goldstein
YZYi Zhu
Yi Zhu
CYCuirong Yang
Cuirong Yang
YHYi Hu
Yi Hu
The neural mechanisms that support naturalistic learning via effective pedagogical approaches remain elusive. Here we used functional near-infrared spectroscopy to measure brain activity from instructor-learner dyads simultaneously during dynamic conceptual learning. Results revealed that brain-to-brain coupling was correlated with learning outcomes, and, crucially, appeared to be driven by specific scaffolding behaviors on the part of the instructors (e.g., asking guiding questions or providing hints). Brain-to-brain coupling enhancement was absent when instructors used an explanation approach (e.g., providing definitions or clarifications). Finally, we found that machine-learning techniques were more successful when decoding instructional approaches (scaffolding vs. explanation) from brain-to-brain coupling data than when using a single-brain method. These findings suggest that brain-to-brain coupling as a pedagogically relevant measure tracks the naturalistic instructional process during instructor-learner interaction throughout constructive engagement, but not information clarification.

1 December 2018 in NeuroImage
Verified
Journal Article
Closed access
YPYafeng Pan
Yafeng Pan
GNGiacomo Novembre
Giacomo Novembre
BSBei Song
Bei Song
XLXianchun Li
Xianchun Li
YHYi Hu
Yi Hu

1 March 2018 in Biological Psychology
Verified
Journal Article
Closed access
YHYi Hu
Yi Hu
YPYafeng Pan
Yafeng Pan
XSXinwei Shi
Xinwei Shi
QCQing Cai
Qing Cai
XLXianchun Li
Xianchun Li
XCXiaojun Cheng
Xiaojun Cheng

15 June 2020 in Social Cognitive and Affective Neuroscience
Verified
Journal Article
Open access
PDF file
YPYafeng Pan
Yafeng Pan
GNGiacomo Novembre
Giacomo Novembre
BSBei Song
Bei Song
YZYi Zhu
Yi Zhu
YHYi Hu
Yi Hu
Social interactive learning denotes the ability to acquire new information from a conspecific—a prerequisite for cultural evolution and survival. As inspired by recent neurophysiological research, here we tested whether social interactive learning can be augmented by exogenously synchronizing oscillatory brain activity across an instructor and a learner engaged in a naturalistic song-learning task. We used a dual brain stimulation protocol entailing the trans-cranial delivery of synchronized electric currents in two individuals simultaneously. When we stimulated inferior frontal brain regions, with 6 Hz alternating currents being in-phase between the instructor and the learner, the dyad exhibited spontaneous and synchronized body movement. Remarkably, this stimulation also led to enhanced learning performance. These effects were both phase- and frequency-specific: 6 Hz anti-phase stimulation or 10 Hz in-phase stimulation, did not yield comparable results. Furthermore, a mediation analysis disclosed that interpersonal movement synchrony acted as a partial mediator of the effect of dual brain stimulation on learning performance, i.e. possibly facilitating the effect of dual brain stimulation on learning. Our results provide a causal demonstration that inter-brain synchronization is a sufficient condition to improve real-time information transfer between pairs of individuals.