Dr Jade Buse Jackson (Savun)
Postdoctoral Fellow
MRC Cognition and Brain Sciences Unit
University of Cambridge

Twitter Lab website jade.jackson@mrc-cbu.cam.ac.uk 

Research

I am a postdoctoral fellow at the Cognition and Brain Sciences Unit, University of Cambridge. My research lies within the field of cognitive control and selection attention. I develop and test brain stimulation (TMS) and neuroimaging (fMRI/MEG) paradigms to:

1) examine the selection and representation of task-relevant information in the human brain
2) investigate causal links between the information we read out from the brain with neuroimaging and cognition and behaviour (using concurrent TMS-fMRI)
3) improve practical applications of concurrent neurostimulation and neuroimaging techniques  

Education

BSc in Psychology (First Class honours), Royal Holloway, University of London, UK (2012)

PhD in Cognitive Neuroscience at the ARC Centre of Excellence in Cognition and its Disorders, Dept. of Cognitive Science, Macquarie University, Sydney, Australia (2016)

Peer-reviewed articles

Jackson, J. B., Feredoes, E., Rich, A. N., Lindner, M., & Woolgar, A. (2021). Concurrent neuroimaging and neurostimulation reveals a causal role for dlPFC in coding of task-relevant information. Communications Biology, 4(1), 1-16.

Makovac, E., Venezia, A., Hohenschurz‐Schmidt, D., Dipasquale, O., Jackson, J. B., Medina, S., ... & Howard, M. A. (2021). The association between pain‐induced autonomic reactivity and descending pain control is mediated by the periaqueductal grey. The Journal of physiology, 599(23), 5243-5260. 

Jelen, L., Lythgoe, D., Jackson, J. B., Howard, M., Stone, J., & Egerton, A. (2021). Imaging Brain Glx Dynamics in Response to Pressure Pain Stimulation: A 1H-fMRS Study. Frontiers in Psychiatry, 12.

Jackson, J. B., O'Daly, O., Makovac, E., Medina, S., de Lara Rubio, A., McMahon, S. B., ... & Howard, M. A. (2020). Noxious pressure stimulation demonstrates robust, reliable estimates of brain activity and self-reported pain. NeuroImage, 117-178.

Hohenschurz-Schmidt, D. J., Calcagnini, G., Dipasquale, O., Jackson, J. B., Medina, S., O’Daly, O., ... & Makovac, E. (2020). Linking Pain Sensation to the Autonomic Nervous System: The Role of the Anterior Cingulate and Periaqueductal Gray Resting-State Networks. Frontiers in Neuroscience, 14, 147.

Makovac, E., Dipasquale, O., Jackson, J. B., Medina, S., O'Daly, O., O'Muircheartaigh, J., ... Howard, M. A. (2020). Sustained perturbation in functional connectivity induced by cold pain. European Journal of Pain. 

Jackson, J. B., & Woolgar, A. (2018). Adaptive coding in the human brain: Distinct object features are encoded by overlapping voxels in frontoparietal cortex. Cortex, 108, 25-34.

Larsson, J., Harrison, C., Jackson, J., Oh, S., Zeringyte, V. (2017). Spatial scale and distribution of neurovascular signals underlying decoding of orientation and eye-of-origin from fMRI data. Journal of Neurophysiology, 117, 818-835.

Jackson, J., Rich, A. R., Williams, M. & Woolgar, A. (2017). Feature-selective attention in frontoparietal cortex: Multivoxel codes adjust to prioritize task-relevant information, Journal of Cognitive Neuroscience, 14, 1-12.

Woolgar, A., Jackson, J., & Duncan, J. (2016). Coding of visual, auditory, rule and response information in the brain: 10 years of multi-voxel pattern analysis. Journal of Cognitive Neuroscience, 17, 1-22.

Preprints

Jackson, J. B., Rich, A. N., Moerel, D., Teichmann, L., Duncan, J., & Woolgar, A. (2024). Domain general frontoparietal regions show modality-dependent coding of auditory and visual rules. bioRxiv.

Lu, R., Michael, E., Scrivener, C. L., Jackson, J. B., Duncan, J., & Woolgar, A. (2023). The causal roles of parietal alpha oscillations and evoked potentials in coding task-relevant information during selective attention. bioRxiv, 2023-11.

Scrivener, C. L., Jackson, J. B., Correia, M. M., Mada, M., & Woolgar, A. (2021). Now you see it, now you don’t: optimal parameters for interslice stimulation in concurrent TMS-fMRI. bioRxiv.  

CBU Methods day talk on the application of concurrent TMS-fMRI