I am a cognitive neuroscientist with research interests in anxiety, fear, learning, and language. I use psychophysiology and multi-modal neuroimaging methods (f/MRI, MEG, DWI) to investigate the interaction between emotion and cognition in clinical and healthy populations.

  • M.A., Philosophy & Linguistics, Humboldt Universitaet Berlin
  • MSc, Mind, Language and Embodied Cognition, Edinburgh University
  • PhD, Cognitive Science, Macquarie University Sydney

Publications

  1. Fynes-Clinton, S., Marstaller, L., Burianová, H., Burianova, H. Differentiation of functional networks during long-term memory retrieval in children and adolescents NeuroImage 191 93 103
  2. Marstaller, L., Fynes-Clinton, S., Burianová, H., Reutens, D., Burianova, H. Evidence for a functional specialization of ventral anterior temporal lobe for language NeuroImage 183 800 810
  3. Marstaller, L., Burianová, H., Reutens, D., Burianova, H. Adaptive contextualization: A new role for the default mode network in affective learning Human Brain Mapping 38 1082 1091
  4. Marstaller, L., Burianová, H., Reutens, D., Burianova, H. Individual differences in structural and functional connectivity predict speed of emotion discrimination Cortex 85 65 74
  5. Marstaller, L., Burianová, H., Reutens, D., Burianova, H. Dynamic competition between large-scale functional networks differentiates fear conditioning and extinction in humans NeuroImage 134 314 319

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Teaching

  • PS-M72 Structural MRI Analysis

    Neuroimaging makes it possible to investigate the brain¿s structure in vivo. This module will give students an introduction to the computational analysis of structural magnetic resonance imaging data with a focus on grey and white matter analysis. Students will learn about the theoretical background of each method and learn how to use popular software packages, such as Freesurfer and FMRIB Software Library (FSL).

  • PS-M73 EEG Analysis

    Electroencephalography (EEG) makes it possible to record the brain¿s function in vivo. This module will give students an introduction to the computational analysis of EEG data with a focus on event-related potentials (ERPs). Students will learn about the preprocessing and analysis of EEG data, and learn how to use popular software packages, such as Statistical Parametric Mapping (SPM) and EEGLab.

Supervision

  • The impact of health anxiety on cognitive processes in ageing. (current)

    Student name:
    PhD
    Other supervisor: Dr Claire Hanley
    Other supervisor: Prof Andrea Tales
    Other supervisor: Dr Hana Burianova

Key Grants and Projects

  • Testing posterior parietal cortex contributions to human episodic memory 2018 - 2021

    Australian Research Council Discovery Project Grant, with with M. Irish, J. Hodges & L. Marstaller, £205,000

  • The role of the default-mode network in the generalisation of fear 2017 - 2020

    Marie Skłodowska-Curie Award COFUND Individual Fellowship, £192, 520

  • Development of a novel functional imaging protocol to investigate memory complaints in epilepsy patients 2016 - 2017

    Royal Brisbane & Women’s Hospital Foundation Research Grant, with Hana Burianová, $40, 000

Career History

Start Date End Date Position Held Location
2014 2017 Postdoctoral Research Fellow Centre for Advanced Imaging, University of Queensland

External Responsibilities

  • Affiliated Research Fellow, Centre for Advanced Imaging, University of Queensland, Australia

    2017 - Present

  • PhD Supervisor, Centre for Advanced Imaging, University of Queensland, Australia

    2015 - 2018

  • PhD Supervisor, Centre for Advanced Imaging, University of Queensland, Australia

    2015 - 2018

Research Groups

  • Neuroimaging Group

    The Neuroimaging Group investigates brain function, structure, and neurochemistry of cognitive processes