The Centre for Cognitive Neuroimaging (CCNi)

The Centre for Cognitive Neuroimaging (CCNi)

The Centre for Cognitive Neuroimaging (CCNi) represents an interdisciplinary effort to advance the understanding of the complex relationship between the brain, cognition and behaviour‌ at multiple levels of analysis. It brings together researchers with an interest in cognitive neuroscience, functional neuroimaging, neuropsychology and computational modelling. The CCNi is developing new met‌hods to further understand brain mechanisms and train interdisciplinary scientists in the use of those methods and techniques.

The main research strength of the CCNi lies in the application of non-invasive multimodal brain imaging using fMRI, MEG, TMS and EEG. These techniques are used together with sophisticated analysis methods (some of which are developed in our Centre) to study the functioning of the human brain with a particular focus on the dynamics of visual perception (particularly faces) and attention, the functional role of brain oscillations, interactions in brain networks, auditory processing (particularly voices) and predictive coding.

Principal investigators: Goense, Gross, Kayser, Muckli, Philiastides, Robertson, Rousselet, Schyns, Sereno, Thut and Uhlhaas

History: The CCNi was created in 2008 as part of significant investment from the University of Glasgow, Scottish Research Infrastructure Fund (SRIF) and Wolfson in state-of-the-art, multi-modal neuroimaging technologies to support research in cognitive neuroscience.

Grant Highlights: Since opening in 2008 CCNi researchers have gained £7.6M in competitive awards (BBSRC, Wellcome, MRC) including two ERC Consolidator Award (Muckli, £1.2 'Brain Reading of contextual feedback and predictions’ and Kayser, £1.4 ‘Multisensory Integration'), three Wellcome Trust Senior Investigator Award (Thut and Gross, £2M, 'State-dependent decoding and driving of human Brain Oscillations’ and Schyns, 'Brain algorithmics: reverse engineering dynamic information processing in brain networks from MEG time series’, £2M), and a MRC research grant (Uhlhaas, £0.8M, 'Prodromal Schizophrenia brain imaging research');

Publication highlights: The CCNi researchers have published more than 235 papers between 2008 and 2013, with more than 4500 citations.

Sample Publications:

  • S Panzeri, JH Macke, J Gross, C Kayser (2015) Neural population coding: combining insights from microscopic and mass signals, Trends in Cognitive Sciences, 19 (3), 162-172.
  • H Park, RAA Ince, PG Schyns, G Thut, J Gross (2015) Frontal Top-Down Signals Increase Coupling of Auditory Low-Frequency Oscillations to Continuous Speech in Human Listeners, Current Biology, in press.
  • E Fouragnan, C Retzler, K Mullinger, MG Philiastides (2015) Two spatiotemporally distinct value systems shape reward-based learning in the human brain. Nature Communications, 6.
  • L Muckli, F De Martino, L Vizioli, LS Petro, FW Smith, K Ugurbil, R Goebel (2015) Contextual Feedback to Superficial Layers of V1, Current Biology, 25 (20), 2690-2695.
  • AA Ghazanfar, RJ Morrill, C Kayser (2013) Monkeys are perceptually tuned to facial expressions that exhibit a theta-like speech rhythm. PNAS, 110 (5). pp. 1959-1963. (doi:10.1073/pnas.1214956110)
  • P Vetter, M-H Grosbras, L Muckli (2013) TMS over V5 disrupts motion prediction. Cerebral Cortex, 25(4), 1052-1059.(doi:10.1093/cercor/bht297)
  • PJ Uhlhaas W Singer (2012) Neuronal dynamics and neuropsychiatric disorders: toward a translational paradigm for dysfunctional large-scale networks. Neuron, 75 (6). 963-980. (doi:10.1016/j.neuron.2012.09.004)