Runhao Lu

Runhao Lu
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Runhao verified their affiliation via an institutional email.
Verified
Runhao verified their affiliation via an institutional email.
  • PhD Student
  • PhD Student at University of Cambridge

About

23
Publications
4,083
Reads
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105
Citations
Introduction
I study the neural basis for cognitive control by combining fMRI, E/MEG, and TMS. Particularly, I focus on frontoparietal “multiple-demand” (MD) brain network which appear to prioritise coding of task-relevant information, providing a neural basis for selective attention.
Current institution
University of Cambridge
Current position
  • PhD Student
Education
October 2021 - June 2025
University of Cambridge
Field of study
  • Cognitive Neuroscience
September 2018 - June 2021
Chinese Academy of Sciences
Field of study
  • Psychology
September 2014 - June 2018
Nanjing Normal University
Field of study
  • Psychology

Publications

Publications (23)
Preprint
Full-text available
Alpha oscillations are thought to play a key role in visuospatial attention, particularly through lateralisation mechanisms. However, whether this function is driven purely by oscillatory activity or also involves aperiodic neural components remains unclear, making it difficult to develop precise theoretical models of alpha function and attention....
Article
Full-text available
Domain-general cognitive systems are essential for adaptive human behaviour, supporting various cognitive tasks through flexible neural mechanisms. While fMRI studies link frontoparietal network activation to increasing demands across various tasks, the electrophysiological mechanisms underlying this domain-general response to demand remain unclear...
Preprint
Full-text available
The multiple-demand (MD) network serves as a core system for domain-general cognitive control, with robust activation with increased demand across diverse tasks. While fMRI studies have characterised the MD network’s role in cognitive demand, linking these findings to electrophysiological activity remains a critical challenge. This article discusse...
Preprint
Full-text available
Domain-general cognitive systems are essential for adaptive human behaviour, supporting various cognitive tasks through flexible neural mechanisms. While fMRI studies link the frontoparietal network activation to increasing demands across various tasks, the electrophysiological mechanisms underlying this domain-general response to demand remain unc...
Preprint
Humans have an astounding ability to flexibly combine information from our senses, memory, goals, rules, and more, to produce new thoughts and actions. Key frontoparietal brain regions may enable this by acting as a well-connected, radically flexible, resource that creates temporary, arbitrary, associations between the different aspects of informat...
Preprint
Full-text available
Selective attention is a fundamental cognitive mechanism that allows people to prioritise task-relevant information while ignoring irrelevant information. Previous research has suggested key roles of parietal evoked potentials and alpha oscillatory responses in spatial attention tasks. However, the informational content of these signals is less cle...
Article
Full-text available
An increasing amount of research has indicated that the effectiveness of growth mindset (GM) intervention is sensitive to population characteristics. However, few studies have investigated whether GM interventions can be leveraged to promote academic performance among non-westerners such as Chinese students. Attuning to the Chinese background, we d...
Article
To clarify the effects of individual differences in fluid intelligence (Gf) on attentional resource allocation, the present study proposes a new hypothesis (i.e., the integrated control hypothesis) based on previous studies and provides preliminary empirical evidence through a pupillometry study. The results showed that both task type and task diff...
Article
Recently, the integrated control hypothesis (Lu et al., 2020) was proposed to explain the relationship between fluid intelligence (Gf) and attentional resource allocation. This hypothesis suggested that individuals with higher Gf tend to flexibly and adaptively allocate their limited resources according to the task type and task difficulty rather t...
Preprint
Recently, the integrated control hypothesis (Lu et al., 2020) was proposed to explain the relationship between fluid intelligence (Gf) and attentional resource allocation. This hypothesis suggested that individuals with higher Gf tend to flexibly and adaptively allocate their limited resources according to the task type and task difficulty rather t...
Article
Full-text available
Eye-movement technique has been widely used in the studies of cognitive psychology. The application of eye-movement technique in studying individual differences in cognitive ability has also attracted researchers' attention. Previous studies have successfully identified individuals with psychological disorders (such as autism spectrum disorder and...
Article
Creative idea generation engages complex cognitive functions such as working memory capacity (WMC). The relationship between creativity and WMC has remained inconsistent due to the lack of experimental evidence and the mismatching of WMC tasks and creativity measurements. Therefore, we used both measurements and experiments to explore the effects o...
Article
Full-text available
Tonic pupil size and its variability are sensitive to cognitive abilities (such as fluid intelligence [Gf]) among individuals. The present study aimed to examine this relationship in a new sample set (i.e., adolescents aged 11-14 years) with several important factors considered. We conducted two task-free tasks (the blank-screen viewing task and th...
Preprint
To clarify the effect of individual differences of fluid intelligence (Gf) on attention resource allocation, the present study proposed a new hypothesis (i.e., integrated control hypothesis) based on previous studies and provided preliminary empirical evidence through a pupillometry study. Results showed that task types and task difficulty played d...
Poster
Pupil size reflects resource allocation and arousal. To investigate the differences of pupil size and its variability between high and low fluid intelligence (gf) adolescents aged 11-14 years, the present study recorded participants’ pupil size in both baseline and task condition. The results showed that high gf adolescents have significantly small...

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