EEG/MEG Publications From the CBU

Cognitive

* Mollo, G. Pulvermüller, F. Hauk, O. (2016). Movement priming of EEG/MEG brain responses for action-words characterizes the link between language and action. Cortex. * Chennu, S., Noreika, V., Gueorguiev, D., Shtyrov, Y., Bekinschtein, T. & Henson, R. (2016). Silent Expectations: Dynamic Causal Modelling of Cortical Prediction and Attention to Sounds that Weren't. Journal of Neuroscience, 36, 8305-8316.

• Finoia, P. Mitchell, D.J., Hauk, O., Beste, C., Pizzella, V., Duncan, J. (2015). Concurrent brain responses to separate auditory and visual targets. Journal of Neurophysiology.

• Chen, Y., Davis, MH., Pulvermüller, F., Hauk, O. (2015). Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics. Journal of Cognitive Neuroscience.

• Poliakov, E., Stokes, M. G., Woolrich, M. W., Mantini, D., & Astle, D. E. (2014). Modulation of alpha power at encoding and retrieval tracks the precision of visual short-term memory. Journal of Neurophysiology.

• Miozzo, M., Pulvermüller, F., Hauk, O. (2014). Early Parallel Activation of Semantics and Phonology in Picture Naming: Evidence from a Multiple-linear-regression MEG Study. Cerebral Cortex.

• Bareham CA, Manly T, Pustovaya OV, Scott SK, Bekinschtein TA. (2014). Losing the left side of the world: Rightward shift in human spatial attention with sleep onset. Scientific Reports.

• Chen, Y., Davis, M.H., Pulvermüller, F., Hauk, O. (2013). Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI. Frontiers in Human Neuroscience.

• Shimi, A. & Astle, D.E. (2013). The strength of attentional biases reduces as visual short-term memory is filled. Journal of Neurophysiology, 110(1):12-8. doi: 10.1152/jn.01098.2012.

• Chennu S, Noreika V, Gueorguiev D, Blenkmann A, Kochen S, Ibáñez A, Owen AM, Bekinschtein TA. (2013). Expectation and attention in hierarchical auditory prediction. J Neurosci 33(27):11194-205.

• Moseley, R. L., Pulvermüller, F., & Shtyrov, Y. (2013). Sensorimotor semantics on the spot: brain activity dissociates between conceptual categories within 150 ms. Scientific Reports, 3.

• Bergström, Z.M, Henson, R.N, Taylor, J.R & Simons, J.S. (2013). Multimodal imaging reveals the spatiotemporal dynamics of recollection. Neuroimage, 68, 141-153

• Tyler, L.K., Cheung, T.P.L., Devereux, B.J., Clarke, A. (2013). Syntactic computations in the language network: characterizing dynamic network properties using representational similarity analysis. Frontiers in Psychology, doi: 10.3389/fpsyg.2013.00271.

• MacGregor, L.J. & Shtyrov, Y. (2013). Multiple routes for compound word processing in the brain: Evidence from EEG. Brain & Language, 126(2): 217–229.

• Egorova N., Shtyrov Y., Pulvermuller F (2013). Early and parallel processing of pragmatic and semantic information in speech acts: neurophysiological evidence. Frontiers in Human Neuroscience, 7:86, doi: 10.3389/fnhum.2013.00086.

• Bakker I., MacGregor LJ, Pulvermüller F., Shtyrov Y (2013). Past tense in the brain’s time: neurophysiological evidence for dual-route processing of past-tense verbs. Neuroimage 1(71):187-95.

• Peelle, J.E., Gross, J., Davis, M.H.(2013) Phase-locked responses to speech in human auditory cortex are enhanced during comprehension. Cerebral Cortex.

• Sohoglu, E., Peelle, J., Carlyon, R. & Davis, M. (2012). Predictive Top-Down Integration of Prior Knowledge during Speech Perception. Journal of Neuroscience, 32(25):8443-8453.

• Gagnepain, P., Henson, R.N. & Davis, M. (2012). Temporal predictive codes for spoken words in auditory cortex. Current Biology, 22(7):615-621.

• Holland R., Brindley L., Shtyrov Y., Pulvermuller F., Patterson K (2012). They played with the trade: MEG investigation of the processing of past tense verbs and their phonological twins. Neuropsychologia, 50(14):3713-20.

• Clarke, A. Taylor, K.I., Devereux, B., Randall, B., Tyler, L.K. (in press) From Perception to Conception: How Meaningful Objects Are Processed over Time. Cerebral Cortex

• MacGregor L., Pulvermüller F., van Casteren M., Shtyrov Y. (2012) Ultra-rapid access to words in the brain. Nature Communications, 3:711

• Hauk, O., Coutout, C., Holden, A., & Chen, Y. (2012). The time-course of single-word reading: Evidence from fast behavioral and brain responses. Neuroimage, 60(2):1462-77.

• Boulenger V., Shtyrov Y., Pulvermüller F. (2011) When Do You Grasp The Idea? MEG Evidence For Instantaneous Idiom Understanding. Neuroimage 59, 3502–3513.

• Nicol R., Chapman S., Vertes P., Nathan P., Smith M., Shtyrov Y., Bullmore E (2012). Fast reconfiguration of high frequency brain networks in response to surprising changes in auditory input. Journal of Neurophysiology, 107:5, 1421-30.

• Kitzbichler, M., Henson, R. N., Smith, M., Nathan, P. & Bullmore, E. (2011). Cognitive effort drives workspace configuration of human brain functional networks. Journal of Neuroscience, 31, 8259-8270.

• Mitchell DJ and Cusack R (2011). The temporal evolution of electromagnetic markers sensitive to the capacity limits of visual short-term memory. Front. Hum. Neurosci. 5:18, doi: 10.3389/fnhum.2011.00018

• B. Cappelle, Y. Shtyrov, F. Pulvermuller (2010) Heating up or cooling up the brain? MEG evidence that phrasal verbs are lexical units. Brain and Language 115:3, 189-201.

• Y. Shtyrov (2010) Automaticity and attentional control in spoken language processing: neurophysiological evidence. Mental Lexicon 5:2, 255-276.

• A. Clarke, K.I. Taylor, L.K. Tyler (2010). The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition. Journal of Cognitive Neuroscience 23:8, 1887-99.

• M. Garagnani, Y. Shtyrov, F. Pulvermuller (2009) Effects of attention on what is known and what is not: MEG evidence for functionally discrete memory circuits. Frontiers in Human Neuroscience 3.

• D.J. Mitchell, R. Cusack (2008) MEG response to visual item load, in short-term memory and attentional monitoring tasks. In Biomagnetism – Interdisciplinary Research and Exploration, 209-211. Hokkaido University Press - Kakigi I, Yokosawa K, Kuriki S (Eds).

Clinical

• Maestu, F., Peña, J.M., Garcés, P., Gonzalez, S., Bajo, R., Bagic, A., Cuesta, P., Funke, M., Makela, J. Menasalvas, E., Nakamura, A., Parkkonen, L., Lopez, M.E., del Pozo, F., Sudre, G., Zamrini, E., Pekkonen, E., Henson, R. & Becker, J (2015). A multicenter study of the early detection of synaptic dysfunction in mild cognitive impairment using magnetoencephalography-derived functional connectivity. Neuroimage: Clinical.

• Tsvetanov KA, Henson RNA, Tyler LK, Davis SW, Shafto MA, Taylor JR, Williams N, Cam-CAN, Rowe JB (2015). The Effect of Ageing on fMRI: Correction for the Confounding Effects of Vascular Reactivity Evaluated by Joint fMRI and MEG in 335 Adults. Human Brain Mapping.

• Chennu S, Finoia P, Kamau E, Monti MM, Allanson J, Pickard JD, Owen AM, Bekinschtein TA. (2013). Dissociable endogenous and exogenous attention in disorders of consciousness. Neuroimage: Clinical, 3, 450-61.

• Moseley R., Pulvermuller F., Mohr B., Lombardo M., Baron-Cohen S. & Shtyrov Y (2013). Brain Routes for Reading in Adults With and Without Autism: EMEG Evidence. Journal of Autism and Developmental Disorders.

• Hughes, L.E., Rowe, J.B. (2013). The Impact of Neurodegeneration on Network Connectivity: A Study of Change Detection in Frontotemporal Dementia. Journal of Cognitive Neuroscience, 25(5) 802-813.

• Hughes, L.E., Ghosh, B.C.P., Rowe, J.B.(2013) Reorganisation of brain networks in frontotemporal dementia and progressive supranuclear palsy. Neuroimage: Clinical, 2, 459-468.

• Shtyrov Y., Smith M., Horner A., Henson R., Bullmore E., Nathan P., Pulvermüller F (2012). Attention to language: Novel MEG paradigm for registering involuntary language processing in the brain. Neuropsychologia, 50(11):2605-16.

• Hughes, L. E., Nestor, P. J., Hodges, J. R., & Rowe, J. B. (2011). Magnetoencephalography of frontotemporal dementia: spatiotemporally localized changes during semantic decisions. Brain, 134, 2513-2522.

Methodological

• Wakeman DG, Henson RN (2015). A multi-subject, multi-modal human neuroimaging dataset. Nature Scientific Data.

• Li Su, Izma Zulfiqar, Fawad Jamshed, Elisabeth Fonteneau, William Marslen-Wilson (2014). Mapping tonotopic organization in human temporal cortex: Representational similarity analysis in EMEG source space. Frontiers in Neuroscience.

• P.Hashemzadeh, A.S. Fokas, and O. Hauk (2014). Estimation of the neuronal current via Electro-Magneto-Encephalography using real data. Proceedings of the 6th International Conference on Numerical Analysis, 140-144.

• Stevenson, S., Brookes, M., Lopez, J., Troebinger, L., Mattout, J., Penny, W., Morris, P., Hillebrand, A., Henson, R. & Barnes, G. (2014). Does function fit structure? A ground truth for non-invasive neuroimaging. Neuroimage, 94, 89-95.

• Stenroos, M., Hauk, O. (2013). Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error. Neuroimage.

• Hauk, O., Stenroos, M. (2013). A framework for the flexible design of spatial filters for EEG/MEG analysis: DeFleCT. Human Brain Mapping.

• Shriki, O., Alstott, J., Carver, F., Holroyd, T., Henson, R.N., Smith, M.L., Coppola, R., Bullmore, E. & Plenz, D. (2013). Neuronal Avalanches in the Resting MEG of the Human Brain. Journal of Neuroscience, 33, 7079-7090.

• Gross, J., Baillet S., Barnes, G.R., Henson, R.N, Hillebrand, A., Jensen, O., Jerbi, K., Litvak, V., Maess, B., Oostenveld, R., Parkkonen, L., Taylor, J.R., van Wassenhove, V., Wibral, M. & Schoffelen, M. (2012). Good-practice for conducting and reporting MEG research. Neuroimage, 65, 349-363.

• Fokas T., Hauk O., Michel V., (2012) Electro-magneto-encephalography for the three-shell model: numerical implementation via splines for distributed current in spherical geometry. Inverse Problems 28:3, .

• Nicol R., Chapman S., Vertes P., Nathan P., Smith M., Shtyrov Y., Bullmore E. (2012) Fast reconfiguration of high frequency brain networks in response to surprising changes in auditory input. Journal of Neurophysiology.

• Henson, R.N., Wakeman, D.G., Litvak, V. & Friston, K.J. (2011). A Parametric Empirical Bayesian framework for the EEG/MEG inverse problem: generative models for multisubject and multimodal integration. Frontiers in Human Neuroscience 5:76, 1-16.

• O. Hauk, D.G. Wakeman, R.N. Henson (2011) Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics. Neuroimage 54:3, 1966-74.

• R.N. Henson, G. Flandin, K.J. Friston and J. Mattout (2010). A Parametric Empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstruction. Human Brain Mapping 31:10, 1512-31.

• Deuker L, Bullmore ET, Smith M, Christensen S, Nathan PJ, Rockstroh B, Bassett DS (2009). Reproducibility of graph metrics of human brain functional networks. Neuroimage, 47, 1460-8.

• M.G. Kitzbichler, M.L. Smith, S.R. Christensen, E. Bullmore (2009) Broadband Criticality of Human Brain Network Synchronization. PLoS Computational Biology.

• R.N. Henson, E. Mouchlianitis, K.J. Friston (2009) MEG and EEG data fusion: Simultaneous localisation of face-evoked responses. Neuroimage 47, 581–589.