Papers

Multisensory Semantic Representations

  • McNorgan, C., Smith, G.J., & Edwards, E.S. (2020). Integrating functional connectivity and MVPA through a multiple constraint network analysis. Neuroimage, 208, 116412.
  • McNorgan C. (2012). A meta-analytic review of multisensory imagery identifies the neural correlates of modality-specific and modality-general imagery. Frontiers in Human Neuroscience, 6:285.
    doi: 10.3389/fnhum.2012.00285
  • McNorgan, C., Reid, J. & McRae, K. (2011). Integrating conceptual knowledge within and across representational modalities. Cognition, 118, 211 – 233.
    doi: 10.1016/j.cognition.2010.10.017
  • Cree, G. S., McNorgan, C., & McRae, K. (2010). Distinctive features hold a privileged status in the computation of word meaning: Implications for theories of semantic memory. In T. A. Harley (Ed.), Sage Key Work in Psycholinguistics, Volume 5: Representation (pp. 63-97). London: Sage. (Reprinted from Journal of Experimental Psychology: Learning, Memory, & Cognition, 32, 643-658).
  • McNorgan, C., Kotack, R. A., Meehan, D. C., & McRae, K. (2007). Feature-feature causal relations and statistical co-occurrences in object concepts. Memory & Cognition, 35, 418-431.
    doi: 10.3758/BF03193282
  • Cree, G. S., McNorgan, C., & McRae, K. (2006). Distinctive features hold a privileged status in the computation of word meaning: Implications for theories of semantic memory. Journal of Experimental Psychology: Learning, Memory, & Cognition, 32, 643-658. [Lead Article]
    doi: 10.1037/0278-7393.32.4.643
  • McRae, K., Cree, G. S., Seidenberg, M. S., & McNorgan, C. (2005). Semantic feature production norms for a large set of living and nonliving things. Behavior Research Methods, 37, 547-559. [Lead Article]
    doi: 10.3758/BF03192726
  • Cree, G. S., McRae, K., & McNorgan, C. (1999). An attractor model of lexical conceptual processing: Simulating semantic priming. Cognitive Science, 23, 371-414.
    doi: 10.1207/s15516709cog2303_4
  • McRae, K., Cree, G. S., & McNorgan, C. (1998). Semantic similarity priming without hierarchical category structure. In Proceedings of the Twentieth Annual Conference of the Cognitive Science Society (pp. 681-686). Hillsdale NJ: Erlbaum.

Reading as a Multisensory Process

  • Edwards, E.S., Burke, K., & McNorgan, C. (2018). Dyslexia on a continuum: A complex network approach. PLoS One 13 (12), e0208923.
  • Smith, G.J., Edwards, E.S., & McNorgan, C. (2018). Longitudinal task-related functional connectivity changes predict reading development. Frontiers in Psychology, 9, 1754.
  • McNorgan, C. & Booth, J.R. (2015). Skill dependent audiovisual integration in the reading network induces repetition suppression. Brain and Language, 141, 110-123.
  • McNorgan, C., O’Young, D., Chabal, S., Lukic, S., & Booth, J.R. (2015). Task dependent lexicality effects support interactive models of reading: A meta-analytic neuroimaging review. Neuropsychologia, 67, 148-158.
  • McNorgan, C., Awati, N., Desroches, A., & Booth, J.R. (in press). Multimodal lexical processing in auditory cortex is literacy skill-dependent. Cerebral Cortex.
  • McNorgan, C., Randazzo-Wagner, M., & Booth, J.R. (2013). Cross-modal integration in the brain is related to phonological awareness only in typical readers, not in those with reading difficulty. Frontiers in Human Neuroscience, 7:388.
    doi: 10.3389/fnhum.2013.00388
  • Brennan,C., Cao, F., Pedroarena-Leal, N., McNorgan, C. & Booth, J.R. (2013). Learning to read reorganizes the oral language network only in alphabetic writing systems. Human Brain Mapping, 34, 3354-3368.
  • McNorgan, C., Alvarez, A., Gayda, J., Bhullar, A., & Booth, J.R. (2011). Prediction of reading skill several years later depends on age and brain region: Implications for developmental models of reading. The Journal of Neuroscience, 31, 9641-9648.
    doi: 10.1523/​JNEUROSCI.0334-11.2011

Neural Connectivity and Computational Modeling

  • McNorgan,C. (2021). The connectivity fingerprints of highly-skilled and disordered reading persist across cognitive domains. Frontiers in Computational Neuroscience 15, 590093
  • McNorgan, C., Judson, C., Handzlik, D., & Holden, J.D. (2020). Linking ADHD and Behavioral Assessment Through Identification of Shared Diagnostic Task-Based Functional Connections. Frontiers in Physiology 11, 583005
  • McNorgan,C. & Joanisse, M.F. (2014). A connectionist approach to mapping the human connectome permits simulations of neural activity within an artificial brain. Brain Connectivity, 4, 40-52.