The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Negation in the brain: Modulating action representations
Open accessAbstract
Sentential negation is a universal syntactic feature of human languages that reverses the truth value expressed by a sentence. An intriguing question concerns what brain mechanisms underlie our ability to represent and understand the meaning of negative sentences. We approach this issue by investigating action-related language processing and the associated neural representations. Using functional magnetic resonance imaging we measured brain activity in 18 healthy subjects during passive listening of sentences characterized by a factorial combination of polarity (affirmative vs. negative) and concreteness (action-related vs. abstract). Negation deactivated cortical areas and the left pallidum. Compared to abstract sentences, action-related sentences activated the left-hemispheric action-representation system. Crucially, the polarity by concreteness interactions showed that the activity within the action-representation system was specifically reduced for negative action-related vs. affirmative action-related sentences (compared to abstract sentences). Accordingly, functional integration within this system as measured by Dynamic Causal Modeling was specifically weaker for negative action-related than for affirmative action-related sentences. This modulation of action representations indicates that sentential negation transiently reduces the access to mental representations of the negated information.
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Rizzolatti, G., & Craighero, L. (2004) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.27.070203.144230 · Cited by 7,433
Barsalou, L. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002149 · Cited by 6,887
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583
Searching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371
Cattaneo, L., & Rizzolatti, G. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.41 · Cited by 3,137
Hajic̈ova, E. (1990) · Lingua · doi:10.1016/0024-3841(90)90064-r · Cited by 2,431
Glenberg, A. M., & Kaschak, M. P. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196313 · Cited by 2,361
Somatotopic Representation of Action Words in Human Motor and Premotor Cortex
Hauk, O., Johnsrude, I., & Pulvermüller, F. (2004) · Neuron · doi:10.1016/s0896-6273(03)00838-9 · Cited by 2,197
Cited by
Friederici, A. D., Chomsky, N., Berwick, R. C., Moro, A., & Bolhuis, J. J. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0184-4 · Cited by 341
Self-citationWhat is embodied about cognition?
Mahon, B. Z. (2015) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2014.987791 · Cited by 277
Cognition is a matter of trust: Distrust tunes cognitive processes
Mayo, R. (2015) · European Review of Social Psychology · doi:10.1080/10463283.2015.1117249 · Cited by 78
Concepts in the Brain: The View From Cross-linguistic Diversity
Kemmerer, D. (2019) · doi:10.1093/oso/9780190682620.001.0001 · Cited by 42
Metadata
- Authors
- Tettamanti, M., Manenti, R., Della Rosa, P. A., Falini, A., Perani, D., Cappa, S. F., & Moro, A.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-11
- Volume
- 43
- Issue
- 2
- Pages
- 358-367
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2074935214
- Cited by
- 288
- References
- 52
- FWCI
- 4.38
- Type
- journal article
- Language
- en
- Open access
- green
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