Multi-scale and multi-modal assessment of coupling in the healthy and diseased brain
Our aim is to substantially deepen our understanding of how different brain systems (electrical, chemical, structural, metabolic) interact with each other and how differences in these interactions impact on brain function and behaviour.
A range of neuroimaging techniques has been developed to probe different systems. We apply these routinely but do not fully understand what they measure, and whether they tell us the full story about health and/or disease.
We also do not know how signals from different techniques link with each other. In this programme, we are studying healthy people and people where we already know there are differences in coupling, including people with epilepsy and psychosis. We are also studying coupling before and after perturbing the brain, through brain training, magnetic stimulation or pharamacological manipulation.
Our vision is to deliver a step change in understanding the human brain, by creating an imaging programme that uniquely combines the very best neuroimaging expertise, equipment and techniques.
We want to answer the fundamental question of how continuous interactions of electrical, chemical, vascular and metabolic processes result in the multi-scale network activity that underpins inter-individual differences in cognition, and key behavioural/functional brain changes in disease.
This integrated characterisation of brain coupling over multiple domains will transform our understanding of the working brain and guide approaches aimed at remedial action when normal coupling is disturbed.
A team of 12 methodological and three clinical Fellows, each focused on a specific aspect of coupling, but applied within a systematic framework of integration, will allow us to achieve our key goals, which are to:
- optimise signal capture using the most advanced imaging technologies to yield
sensitive, robust and repeatable markers of structure/function
- understand these signals thereby maximising their biological interpretability and value to neurocognitive models of human behaviour
- develop an integrative modelling framework for combining data from multiple imaging modalities
- characterise changes in multi-scale coupling following perturbations, including
behavioural, electromagnetic and pharmacological interventions.
- Dr Chris Allen, TMS/TES
- Dr Daniela Brazzo, Epilepsy Clinical Research Fellow
- Dr Hannah Chandler, PET
- Dr Mark Drakesmith, microstructural imaging
- Dr Mike Germuska, physiological modelling
- Dr Craig Hedge, cognitive modelling
- Dr Carl Hodgetts, cognitive imaging
- Dr Chris Jenkins, MR spectroscopy
- Emily Lambe, Research Assistant (data acquisition)
- Mrs Ying Lin, Project Manager (WTSA Programme)
- Dr Lars Mueller, MR sequence development
- Dr Elin Roberts, Psychosis Clinical Research Fellow
- Dr Holly Rossiter, magnetoencephalography (MEG)
- Dr Alex Shaw, neurophysiologically-informed modelling
- Abbie Stark, Research Assistant (participants recruitment)
Co-applicants on the Award
- Prof Derek Jones (Cardiff University) – Principal applicant
- Prof Yaniv Assaf (Tel Aviv University)
- Prof Chris Chambers (Cardiff University)
- Prof Kim Graham (Cardiff University)
- Prof Peter Jezzard (University of Oxford)
- Prof David Linden (Cardiff University)
- Prof Peter Morris (University of Nottingham)
- Prof David Nutt (Imperial College London)
- Prof Krish Singh (Cardiff University)
- Prof Petroc Sumner (Cardiff University)
- Prof Richard Wise (Cardiff University)
Publications acknowledging the Award
- Costigan, A. et al. 2019. Neurochemical correlates of scene processing in the precuneus/posterior cingulate cortex: a multimodal fMRI and 1H-MRS study. Human Brain Mapping 40 (10), pp.2884-2898. (10.1002/hbm.24566)
- Allen, C. 2019. The relationship between the temporal structure of magnetoencephalography recorded brain activity and capacity to form discrete auditory representations. European Journal of Neuroscience 49 (12), pp.1564-1574. (10.1111/ejn.14289)
- Williams, A. , Postans, M. and Hodgetts, C. 2019. How the human brain segments continuous experience. Journal of Neuroscience 39 (17), pp.3172-3174. (10.1523/JNEUROSCI.3041-18.2019)
- Drakesmith, M. et al. 2019. Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures. Translational Psychiatry 9 (1) 102. (10.1038/s41398-019-0440-7)
- Germuska, M. and Wise, R. G. 2019. Calibrated fMRI for mapping absolute CMRO2: practicalities and prospects. NeuroImage 187 , pp.145-153. (10.1016/j.neuroimage.2018.03.068)
- Germuska, M. et al. 2019. Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. NeuroImage 184 , pp.717-728. (10.1016/j.neuroimage.2018.09.035)
- Hodgetts, C. et al. 2019. Increased posterior default mode network activity and structural connectivity in young adult APOE-ε4 carriers: a multi-modal imaging investigation. Neurobiology of Aging 73 , pp.82-91. (10.1016/j.neurobiolaging.2018.08.026)
- Chandler, H. et al. 2019. Polygenic impact of common genetic risk loci for Alzheimer's disease on cerebral blood flow in young individuals. Scientific Reports 9 467. (10.1038/s41598-018-36820-3)
- Hedge, C. et al. 2018. Low and variable correlation between reaction time costs and accuracy costs explained by accumulation models: meta-analysis and simulations. Psychological Bulletin 11 , pp.1200-1227. (10.1037/bul0000164)
- Hedge, C. , Powell, G. and Sumner, P. 2018. The mapping between transformed reaction time costs and models of processing in aging and cognition. Psychology and Aging 33 (7), pp.1093-1104. (10.1037/pag0000298)
- Sumner, R. L. et al., 2018. Peak visual gamma frequency is modified across the healthy menstrual cycle. Human Brain Mapping 39 (8), pp.3187-3202. (10.1002/hbm.24069)
- Hedge, C. , Powell, G. and Sumner, P. 2018. The reliability paradox: why robust cognitive tasks do not produce reliable individual differences. Behavior Research Methods 50 (3), pp.1166-1186. (10.3758/s13428-017-0935-1)
- Merola, A. et al. 2018. Assessing the repeatability of absolute CMRO 2 , OEF and haemodynamic measurements from calibrated fMRI. NeuroImage 173 , pp.113-126. (10.1016/j.neuroimage.2018.02.020)
- Bonaiuto, J. J. et al., 2018. Non-invasive laminar inference with MEG: comparison of methods and source inversion algorithms. NeuroImage 167 , pp.372-383. (10.1016/j.neuroimage.2017.11.068)
- Allen, C. et al. 2018. Evidence for parallel activation of the pre-supplementary motor area and inferior frontal cortex during response inhibition: a combined MEG and TMS study. Royal Society Open Science 5 171369. (10.1098/rsos.171369)
- Voets, N. et al., 2017. Hippocampal MRS and subfield volumetry at 7T detects dysfunction not specific to seizure focus. Scientific Reports 7 16138. (10.1038/s41598-017-16046-5)
- Coad, B. et al. 2017. Structural connections support emotional connections: uncinate fasciculus microstructure is related to the ability to decode facial emotion expressions. Neuropsychologia (10.1016/j.neuropsychologia.2017.11.006)
- Shaw, A. D. et al. 2017. Neurophysiologically-informed markers of individual variability and pharmacological manipulation of human cortical gamma. NeuroImage 161 , pp.19-31. (10.1016/j.neuroimage.2017.08.034)
- Hodgetts, C. et al. 2017. Distinct contributions of the fornix and inferior longitudinal fasciculus to episodic and semantic autobiographical memory. Cortex 94 , pp.1-14. (10.1016/j.cortex.2017.05.010)
- Bompas, A. E. D. , Hedge, C. and Sumner, P. 2017. Speeded saccadic and manual visuo-motor decisions: distinct processes but same principles. Cognitive Psychology 94 , pp.26-52. (10.1016/j.cogpsych.2017.02.002)
- Hodgetts, C. J. et al. 2017. Ultra-high-field fMRI reveals a role for the subiculum in scene perceptual discrimination. Journal of Neuroscience 37 (12), pp.3150-3159. (10.1523/JNEUROSCI.3225-16.2017)
- Espenhahn, S. et al., 2017. Movement-related beta oscillations show high intra-individual reliability. NeuroImage 147 , pp.175-185. (10.1016/j.neuroimage.2016.12.025)
Preprint publications citing Award
- Drakesmith, M., Jones, DK. 2018. (preprint). Mapping axon conduction delays in vivo from microstructural MRI. bioRxiv. doi:
- Allen, C., Mehler, D. 2018. (preprint). Open Science challenges, benefits and tips in early career and beyond. PsyArXiv. DOI: 10.31234/osf.io/3czyt
- Hodgetts, C. J., Stefani, M., Williams, A. N., Kolarik, B., Yonelinas, A. P., Ekstrom, A. D., Lawrence, A. D., Zhang, J., & Graham, K. S. 2018. (preprint). The role of the fornix in human navigational learning. bioRxiv.
- Drakesmith M, Parker GD, Smith J, Linden SC, Rees E, Williams N, Owen MJ, van den Bree M, Hall J, Jones DK, Linden DEJ. 2019. Genetic risk for schizophrenia and developmental delay is associated with shape and microstructure of midline white-matter structures. Translational Psychiatry. 9(1):102. doi: 10.1038/s41398-019-0440-7
- Metzler-Baddeley, C., Mole, J.P., Sims, R., Fasano, F., Evans, J., Jones, D.K., Aggleton, J.P., Baddeley, R.J. 2018. (preprint). The causal structure of age-dependent limbic decline: fornix white matter glia damage causes hippocampal grey matter damage, not vice versa. bioRxiv.
- Messaritaki, E., Dimitriadis, S.I., Jones, D.K. 2019. (preprint). Optimization of graph construction can significantly increase the power of structural brain network studies. bioRxiv.
- Lipp, I., Parker, G.D., Tallantyre, E., Goodall, A., Grama, S., Patitucci, E., Heveron, P., Tomassini, V., Jones, D.K. 2019. (preprint). Tractography in the presence of white matter lesions in multiple sclerosis. bioRxiv.
These 14 abstracts were accepted for International Society for Magnetic Resonance in Medicine (ISMRM) 2019:
- Chandler H L et al.
Quantification of cerebral grey matter vascular and metabolic function in multiple sclerosis using dual-calibrated fMRI. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Chandler H L et al.
Mapping brain oxygen metabolism with dual calibrated fMRI in pre-surgical evaluation of epilepsy: a case report comparison with FDG-PET. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Drakesmith M, Rudrapatna SU, Jones DK.
Mapping axonal conduction velocities from in vivo MRI data. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Power Pitch)
- Drakesmith M, Kleban E, Fasano F, Rudrapatna SU, Jones DK.
Improved estimates of the g-ratio by modelling its contribution to complex signal evolution in GRE data. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Germuska M, Chandler HL, Stickland RC, Foster C, Steventon J, Tomassini V, Murphy K, Wise RG.
A frequency-domain machine learning (FML) method for dual-calibrated estimation of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen metabolism (CMRO2). International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Jenkins C, Chandler M, Langbein F, Shermer S.
Quantification of edited magnetic resonance spectroscopy: a comparative phantom based study of analysis methods. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Koller K, Rudrapatna SU, Chamberland M, Raven EP, Parker GD, Tax CMW, Drakesmith M, Evans CJ, Wood TC, Jones DK.
Powering Up Microstructural Imaging: assessing cross-metric and cross-tract statistical power on an ultra-strong gradient MRI system. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Kopanoglu E, Tachrount M, Meliado EF, Klomp D, Evans J, Wise RG.
Random RF Shimming may conceal possible local SAR hotspots for asymmetric parallel transmit coils. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Mueller L, Rudrapatna SU, Tax CMW, Wise RG, Jones DK.
Diffusion MRI with b=1000 s/mm2 at TE < 22 ms using single-shot spiral readout and ultra-strong gradients: Implications for microstructure imaging. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Oral)
- Rudrapatna SU, Mueller L, Venzi M, Wise RG, Jones DK.
Can unprecedented echo times in human diffusion weighted fMRI help reveal its biological underpinnings? International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Rudrapatna SU, Mueller L, Wright ME, Jones DK, Wise RG.
A GRANDIOSE sequence to time-lock BOLD and diffusion-weighted fMRI contrasts in humans using ultra-strong gradients and spirals. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Power Pitch)
- Tachrount M, Woorward B, Kopanoglu E, Italiaander M, Klomp D, Driver I, Wise R.
Improving RF efficiency in the brain and the neck at 7T using a novel pTx coil. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)
- Tax CMW, Rudrapatna SU, Mueller L, Jones DK.
Characterizing diffusion of myelin water in the living human brain using ultra-strong gradients and spiral readout. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Oral)
- Champagne A, Germuska M, Coverdale NS, Cook DJ.
Multi-parametric analysis reveals metabolic and vascular effects driving differences in BOLD cerebrovascular reactivity associated with a history of sport concussion. International Society for Magnetic Resonance in Medicine, Montreal, 2019 (Digital Poster)