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Lab publications

All our papers are published "open access" meaning they are freely available for anyone in the world to read. If you have difficulty accessing any of our publications please email alexandra.woolgar@mrc-cbu.cam.ac.uk and we will send you a copy!

2023

Lu., R., Michael, E., Scrivener, C.L., Jackson, J.,. Duncan, J., & Woolgar, A (Preprint) The causal roles of parietal alpha oscillations and evoked potentials in coding task-relevant information during selective attention. https://doi.org/10.1101/2023.11.14.567111

Scrivener, C., Groostwagers, T., Woolgar, A., (Preprint) Optimising analysis choices for multivariate decoding: creating pseudotrials using trial averaging and resampling https://doi.org/10.1101/2023.10.04.560678

Moerel, D., Rich, A.N., Woolgar, A., (Preprint) Selective attention and decision-making have separable neural bases in space and time https://doi.org/10.1101/2021.02.28.433294

 

Scrivener, C. L., Jackson, J. B., Correia, M. M., Mada, M., & Woolgar, A. (Preprint). Now you see it, now you don't: optimal parameters for interslice stimulation in concurrent TMS-fMRI. https://doi.org/10.1101/2021.05.28.446111

 

Wisniewski, D, González-García, C., Formica, S., Woolgar, A., Brass, M., (2023) Adaptive coding of stimulus information in human fronto-parietal cortex during visual classification. Neuroimage  https://doi.org/10.1016/j.neuroimage.2023.120150

Petit, S., Brown, A., Jessen, E. T., Woolgar, A., (2023) How robustly do multivariate EEG patterns track individual-subject lexico-semantic processing of visual stimuli? Language, Cognition and Neuroscience https://doi.org/10.1080/23273798.2023.2177315

Barnes, L., Rangelov, D., Mattingley, J., Woolgar, A., (2023) Fractionating distraction: how past- and future-relevant distractors influence integrated decisions. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/xhp0001081 Preprint: https://doi.org/10.1101/2022.07.18.500552

2022

Moerel, D., Grootswagers, T., Robinson, A. K., Woolgar, A., Carlson, T., & Rich, A. N. (2022). The time-course of feature-based attention effects dissociated from temporal expectation and target-related processes. Scientific Resports. https://www.nature.com/articles/s41598-022-10687-x

 

Barnes, L., Goddard, E., & Woolgar, A. (2022). Neural coding of visual objects rapidly reconfigures to reflect sub-trial shifts in attentional focus. Journal of Cognitive Neuroscience. https://doi.org/10.1162/jocn_a_01832

 

Robinson, A. K., Rich, A. N., & Woolgar, A. (2022). Linking the brain with behaviour: the neural dynamics of success and failure in goal-directed behaviour. Journal of Cognitive Neurosicence. https://doi.org/10.1162/jocn_a_01818

Goddard, E., Carlson, T. A., & Woolgar, A. (2022). Spatial and feature-selective attention have distinct, interacting, effects on population-level tuning. Journal of Cognitive Neuroscience https://doi.org/10.1162/jocn_a_017

Cope, T., Hughes, L. E., Phillips, H. N., Adams, N. E., Jafariana, A., Nesbitt, D., Assem, M., CamCAN, Woolgar, A., Duncan, J., Rowe, J. B., (2022) Causal evidence for the multiple demand network in change detection: auditory mismatch magnetoencephalography across focal neurodegenerative diseases. The Journal of Neuroscience https://doi.org/10.1523/JNEUROSCI.1622-21.2022

Karimi-Rouzbahani, H., & Woolgar, A., (2022) When the whole is less than the sum of its parts: maximum object category information and behavioral prediction in multiscale activation patterns. Frontiers in Neuroscience https://doi.org/10.3389/fnins.2022.825746

Karimi-Rouzbahani, H., Woolgar, A., Henson, R., Nili, H., (2022) Caveats and nuances of model-based and model-free representational connectivity analysis. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2022.755988

Lu, R., Xi, J., Zhang, X., & Shi, J. (2022). High fluid intelligence is characterized by flexible allocation of attentional resources: Evidence from EEG. Neuropsychologia. https://doi.org/10.1016/j.neuropsychologia.2021.108094

2021

Jackson, J. B., Feredoes, E., Rich, A., Lindner, M. & Woolgar, A. (2021). Concurrent neuroimaging and neural stimulation reveals a causal role for dlPFC in coding of task-relevant information. Nature Communications Biology https://www.nature.com/articles/s42003-021-02109-x

 

Karimi-Rouzbahani, H., Woolgar, A.*, & Rich, A.N.* (2021) Vigilance decrements in the brain: neural signatures can predict behavioural errors before they happen. *equal contribution. eLife, 10: e60563 https://elifesciences.org/articles/60563

 

Karimi-Rouzbahani, H., Remezani, F., Woolgar, A., Rich, A.N., & Ghodrati, M. (2021). Perceptual difficulty modulates the direction of information flow in familiar face recognition. NeuroImage. https://doi.org/10.1016/j.neuroimage.2021.117896

Barnes, L., Petit S., Badcock, N.B., Whyte, C., & Woolgar, A., (2021) Word detection in individual subjects is difficult to probe with fast periodic visual stimulation. Frontiers in Neuroscience 15 (602798). https://doi.org/10.3389/fnins.2021.602798

Scrivener, C. L. (2021). When is simultaneous recording necessary? A guide for researchers considering combined EEG-fMRI. Frontiers in Neuroscience 15 (744) https://doi.org/10.3389/fnins.2021.636424

Karimi-Rouzbahani, H., Shahmohammadi, M., Vahab, E., Setayeshi, S., Carlson, T., (2021) Temporal codes provide additional category-related information in object category decoding: a systematic comparison of informative EEG features. Neural Computation 33(11):3027-3072 https://doi.org/10.1162/neco_a_01436

Smith, R., Friston, K., Whyte, C., (2021 Preprint) A step-by-step tutorial on active inference and its application to empirical data. https://10.31234/osf.io/b4jm6

 

Wisniewski, D, González-García, C., Formica, S., Woolgar, A., Brass, M., (2021 Preprint) Adaptive coding of stimulus information in human fronto-parietal cortex during visual classification https://doi.org/10.1101/2021.11.22.469511

2020

Petit, S., Badcock, N. A., Grootswagers, T., Rich, A. N., Brock, J., Nickels, L., ... & Woolgar, A. (2020). Towards an individualised neural assessment of receptive language in children. Journal of Speech, Language, and Hearing Research. 

https://doi.org/10.1044/2020_JSLHR-19-00313

Petit, S., Badcock, N. A., & Woolgar, A. (2020). Finding Hidden Treasures: A Child-Friendly Neural Test Of Task-Following In Individuals Using Functional Transcranial Doppler Ultrasound. Neuropsychologia https://doi.org/10.1016/j.neuropsychologia.2020.107515

Petit, S., Badcock, N. A., Grootswagers, T., & Woolgar, A. (2020).Unconstrained multivariate EEG decoding can help detect lexical-semantic processing in individual children. Nature Scientific Reports https://www.nature.com/articles/s41598-020-67407-6.pdf

Caruana, N., Alhasan, A., Wagner, K., Kaplan, D.M., Woolgar, A., McArthur G., (2020) The effect of non-communicative eye movements on joint attention. Quarterly Journal of Experimental Psychology. https://doi.org/10.1177/1747021820945604

 

Weldon, K. B., Woolgar, A., Rich, A. N., & Williams, M. A. (2020). Late disruption of central visual field disrupts peripheral perception of form and color. PloS one, 15(1), e0219725. 

https://doi.org/10.1371/journal.pone.0219725

Brown, A. C., Peters J. L., Parson C., Crewther D. P., & Crewther S. G., (2020). Efficiency in magnocellular processing: A common deficit in neurodevelopment disorders. Frontiers in Human Neuroscience, 00049

https://www.frontiersin.org/articles/10.3389/fnhum.2020.00049/full

2019

 

Weldon, K. B., Woolgar, A., Rich, A. N., & Williams, M. A. (2019). Foveal feedback supports peripheral perception of both object color and form. BioRxiv, 690305.  

https://www.biorxiv.org/content/10.1101/690305v1.full.pdf

Woolgar, A., Dermody, N., Afshar, S., Williams, M. A., & Rich, A. N. (2019). Meaningful patterns of information in the brain revealed through analysis of errors. bioRxiv, 673681. 

https://www.biorxiv.org/content/10.1101/673681v1.full.pdf.

2018

 

Woolgar, A., Duncan, J., Manes, F., & Fedorenko, E. (2018). Fluid intelligence is supported by the multiple-demand system not the language system. Nature Human Behaviour, 2(3), 200-204. 

https://www.nature.com/articles/s41562-017-0282-3.pdf

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. https://doi.org/10.1016/j.cortex.2018.07.006

Caruana, N., Stieglitz Ham, H., Brock, J., Woolgar, A., Kloth, N., Palermo, R., & McArthur, G. (2018). Joint attention difficulties in autistic adults: an interactive eye-tracking study. Autism, 22(4), 502-512. https://doi.org/10.1177/1362361316676204

Zopf, R., Butko, M., Woolgar, A., Williams, M. A., & Rich, A. N. (2018). Representing the location of manipulable objects in shape-selective occipitotemporal cortex: Beyond retinotopic reference frames?. Cortex, 106, 132-150. https://doi.org/10.1016/j.cortex.2018.05.009

2017

 

Jackson, J., Rich, A. N., Williams, M. A., & Woolgar, A. (2017). Feature-selective attention in frontoparietal cortex: multivoxel codes adjust to prioritize task-relevant information. Journal of cognitive neuroscience, 29(2), 310-321. 

https://www.mitpressjournals.org/doi/pdf/10.1162/jocn_a_01039

Woolgar, A., & Zopf, R. (2017). Multisensory coding in the multiple-demand regions: vibrotactile task information is coded in frontoparietal cortex. Journal of neurophysiology, 118(2), 703-716.

https://journals.physiology.org/doi/prev/20170412-aop/pdf/10.1152/jn.00559.2016

Caruana, N., McArthur, G., Woolgar, A., & Brock, J. (2017). Simulating social interactions for the experimental investigation of joint attention. Neuroscience & Biobehavioral Reviews, 74, 115-125. 

https://doi.org/10.1016/j.neubiorev.2016.12.022

Caruana, N., McArthur, G., Woolgar, A., & Brock, J. (2017). Detecting communicative intent in a computerised test of joint attention. PeerJ, 5, e2899. 

https://research-management.mq.edu.au/ws/portalfiles/portal/62193169/Publisher+version+%28open+access%29.pdf

2016

 

Goddard, E., Carlson, T. A., Dermody, N., & Woolgar, A. (2016). Representational dynamics of object recognition: Feedforward and feedback information flows. Neuroimage, 128, 385-397. 

http://mvr.mcgill.ca/goddard/goddard2016.pdf

Woolgar, A., Jackson, J., & Duncan, J. (2016). Coding of visual, auditory, rule, and response information in the brain: 10 years of multivoxel pattern analysis. Journal of cognitive neuroscience, 28(10), 1433-1454. 

https://www.mitpressjournals.org/doi/pdf/10.1162/jocn_a_00981

Weldon, K. B., Rich, A. N., Woolgar, A., & Williams, M. A. (2016). Disruption of foveal space impairs discrimination of peripheral objects. Frontiers in psychology, 7, 699.

https://doi.org/10.3389/fpsyg.2016.00699

2015

 

Woolgar, A., Williams, M. A., & Rich, A. N. (2015). Attention enhances multi-voxel representation of novel objects in frontal, parietal and visual cortices. Neuroimage, 109, 429-437. 

https://doi.org/10.1016/j.neuroimage.2014.12.083

 

Woolgar, A., Afshar, S., Williams, M. A., & Rich, A. N. (2015). Flexible coding of task rules in frontoparietal cortex: an adaptive system for flexible cognitive control. Journal of cognitive neuroscience, 27(10), 1895-1911. 

https://www.mitpressjournals.org/doi/pdf/10.1162/jocn_a_00827

 

Caruana, N., Brock, J., & Woolgar, A. (2015). A frontotemporoparietal network common to initiating and responding to joint attention bids. Neuroimage, 108, 34-46. 

https://doi.org/10.1016/j.neuroimage.2014.12.041

2014

 

Woolgar, A., Golland, P., & Bode, S. (2014). Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013. Neuroimage, 98, 506-512. 

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4450346/

Rivolta, D., Woolgar, A., Palermo, R., Butko, M., Schmalzl, L., & Williams, M. A. (2014). Multi-voxel pattern analysis (MVPA) reveals abnormal fMRI activity in both the “core” and “extended” face network in congenital prosopagnosia. Frontiers in human neuroscience, 8, 925. 

https://doi.org/10.3389/fnhum.2014.00925

2013

 

Woolgar, A., Bor, D., & Duncan, J. (2013). Global increase in task-related fronto-parietal activity after focal frontal lobe lesion. Journal of cognitive neuroscience, 25(9), 1542-1552.

https://www.mitpressjournals.org/doi/pdf/10.1162/jocn_a_00432

2011

 

Woolgar, A., Hampshire, A., Thompson, R., & Duncan, J. (2011). Adaptive coding of task-relevant information in human frontoparietal cortex. Journal of Neuroscience, 31(41), 14592-14599. 

https://www.jneurosci.org/content/jneuro/31/41/14592.full.pdf

Woolgar, A., Thompson, R., Bor, D., & Duncan, J. (2011). Multi-voxel coding of stimuli, rules, and responses in human frontoparietal cortex. Neuroimage, 56(2), 744-752. 

https://doi.org/10.1016/j.neuroimage.2010.04.035

Roca, M., Torralva, T., Gleichgerrcht, E., Woolgar, A., Thompson, R., Duncan, J., & Manes, F. (2011). The role of Area 10 (BA10) in human multitasking and in social cognition: a lesion study. Neuropsychologia, 49(13), 3525-3531.

http://facundomanes.com/wp-content/uploads/2019/03/98-the-role-of-area-10.pdf

2010
 

Roca, M., Parr, A., Thompson, R., Woolgar, A., Torralva, T., Antoun, N., ... & Duncan, J. (2010). Executive function and fluid intelligence after frontal lobe lesions. Brain, 133(1), 234-247. 

https://doi.org/10.1093/brain/awp269

Woolgar, A., Parr, A., Cusack, R., Thompson, R., Nimmo-Smith, I., Torralva, T., ... & Duncan, J. (2010). Fluid intelligence loss linked to restricted regions of damage within frontal and parietal cortex. Proceedings of the national academy of sciences, 107(33), 14899-14902. 

https://www.pnas.org/content/pnas/107/33/14899.full.pdf


2008

 

Duncan, J., Parr, A., Woolgar, A., Thompson, R., Bright, P., Cox, S., ... & Nimmo-Smith, I. (2008). Goal neglect and Spearman's g: competing parts of a complex task. Journal of Experimental Psychology: General, 137(1), 131.https://www.researchgate.net/profile/Peter_Bright/publication/5604357_Goal_Neglect_and_Spearman's_g_Competing_Parts_of_a_Complex_Task/links/56c5960e08aea564e305e2db.pdf

Hogan, S., Stokes, J., White, C., Tyszkiewicz, E., & Woolgar, A. (2008). An evaluation of auditory verbal therapy using the rate of early language development as an outcome measure. Deafness & education international, 10(3), 143-167.https://www.tandfonline.com/doi/pdf/10.1179/146431508790559760?needAccess=true

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