College King's College
Research Focus


  • Attention
  • Cognitive Control
  • Working Memory
  • TMS
  • Cognitive Flexibility
  • Representations
  • Clinical Conditions

  • Attention deficit hyperactivity disorder
  • Autism
  • Equipment & Techniques

  • Electroencephalography (EEG)
  • Electrophysiological recording techniques
  • Magnetic resonance imaging (MRI)
  • Signal processing
  • Back

    Runhao Lu

    University Position
    PhD student


    I'm interested in the neural basis of cognitive control, attention, and human intelligence. In particular, my study focuses on a distributed multiple-demand network across the frontoparietal brain regions, which is thought to be crucial for human intelligent behaviors because of its incredible function to flexibly and adaptively process task-relevant information. My current projects use MEG/EEG, fMRI, and concurrent TMS-EEG to understand how the brain flexibly codes task-relevant information using many different signals, and how non-invasive brain stimulation affects neural coding and related behaviors.

    Key Publications

    The causal roles of parietal alpha oscillations and evoked potentials in coding task-relevant information during selective attention

    Journal: bioRxiv
    Year: 2023
    Authors: Runhao Lu, Elizabeth Michael, Catriona L Scrivener, Jade B Jackson, John Duncan, Alexandra Woolgar


    Attentional resource allocation among individuals with different fluid intelligence: The integrated control hypothesis and its evidence from pupillometry

    Journal: Neuropsychologia
    Year: 2022
    Authors: Runhao Lu, Naili Bao, Xingli Zhang, Jiannong Shi

    High fluid intelligence is characterized by flexible allocation of attentional resources: Evidence from EEG

    Journal: Neuropsychologia
    Year: 2022
    Authors: Runhao Lu, Jie Xi, Xingli Zhang, Jiannong Shi

    Visuospatial, rather than verbal working memory capacity plays a key role in verbal and figural creativity

    Journal: Thinking & Reasoning
    Year: 2022
    Authors: Runhao Lu, Yanna Zhang, Naili Bao, Meng Su, Xingli Zhang, Jiannong Shi