Menu

College King's College
Research Focus

Keywords

  • Attention
  • Cognitive Control
  • Working Memory
  • TMS
  • EEG/MEG
  • 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

    (he/him/his)
    University Position
    PhD student

    Interests

    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

    Parietal alpha stimulation causally enhances attentional information coding in evoked and oscillatory activity.

    DOI: http://doi.org/10.1016/j.brs.2025.01.003
    Journal: Brain Stimul
    E-pub date: 1 Jan 2025
    Authors: R Lu, E Michael, CL Scrivener, JB Jackson, J Duncan, A Woolgar

    Aperiodic and oscillatory systems underpinning human domain-general cognition

    DOI: http://doi.org/10.1038/s42003-024-07397-7
    Journal: Commun Biol
    E-pub date: 18 Dec 2024
    Authors: R Lu, N Dermody, J Duncan, A Woolgar

    Linking the multiple-demand cognitive control system to human electrophysiological activity

    DOI: https://doi.org/10.1016/j.neuropsychologia.2025.109096
    Journal: Neuropsychologia
    Year: 2025
    Authors: Runhao Lu

    Radical flexibility of neural representation in frontoparietal cortex and the challenge of linking it to behaviour

    DOI: https://doi.org/10.1016/j.cobeha.2024.101392
    Journal: Current Opinion in Behavioral Sciences
    Year: 2024
    Authors: Yuena Zheng, Runhao Lu, Alexandra Woolgar

    Publications