Brain Primer

Deriving Meaning from Specialized and Organized Brain Regions

  • Reviewed24 Apr 2023
  • Author Marissa Fessenden
  • Source BrainFacts/SfN
Characters putting items into an empty head
iStock.com via Rudzhan Nagiev

How do we assign meaning to the faces we see, or the words we hear? We derive larger meaning from our sensory experiences as specialized brain regions work together. And if there is damage to a specialized region, we may have a harder time figuring out the meaning of the world around us.

For example, damage to certain areas of the temporal lobes leads to problems with recognizing and identifying visual stimuli. This condition, called agnosia, occurs in several forms and can impact one or more of our senses, depending on the exact location of the brain damage.

One specialized region helping us construct meaning from sight is the fusiform face area (FFA). Located on the underside of the temporal lobe, the FFA is critical for recognizing faces. This distinct area responds more strongly to images with faces than those without, and bilateral damage to this area results in prosopagnosia or “face blindness.” Similarly, a nearby region called the parahippocampal place area responds to specific locations, such as pictures of buildings or particular scenes. Other areas are activated only by viewing certain inanimate objects, body parts, or sequences of letters.

Within these brain areas, information is organized into hierarchies, as complex skills and representations are built up by integrating information from simpler inputs. One example of this organization is the way the brain represents words. Regions that encode words include the posterior parietal cortex, parts of the temporal lobe, and regions in the prefrontal cortex (PFC). Together, these areas form the semantic system, a constellation that responds more strongly to words than to other sounds, and even more strongly to natural speech than to artificially garbled speech. The semantic system occupies a significant portion of the human brain, especially compared to the brains of other primates. This difference might help explain humans’ unique ability to use language.

Separate areas within this system encode representations of concrete or abstract concepts, action verbs, or social information. Words related to each other, such as “month” and “week,” tend to activate the same areas, whereas unrelated words, such as “month” and “tall,” are processed in separate areas of the brain. Many studies using a technique called functional magnetic resonance imaging (fMRI) to measure brain activity in response to words have found more extensive activation in the left hemisphere, compared to the right hemisphere. However, when words are presented in a narrative or other context, they elicit fMRI activity on both sides of the brain.

Written language involves additional brain areas. The visual word form area (VWFA) in the fusiform gyrus recognizes written letters and words — a finding that is remarkably consistent across speakers of different languages. Studies of the VWFA reveal connections between it and the brain areas that process visual information, bridges that help the brain link meaning to written language. Likewise, there are specific brain areas that represent numbers and their meaning. These concepts are represented in the parietal cortex with input from the occipitotemporal cortex, a region that participates in visual recognition and reading. These regions work together to identify the shape of a written number or symbol and connect it to its concept, which can be broad. For example, the number “3” is applied to sets of objects, the concept of trios, or the rhythm of a waltz.

Thus, through constructing hierarchical, connected representations of concepts, the brain is able to build meaning. All of these skills depend on the fluid and efficient retrieval and manipulation of semantic knowledge.


Adapted from the 8th edition of Brain Facts by Marissa Fessenden.

CONTENT PROVIDED BY

BrainFacts/SfN

Anaki, D., Kaufman, Y., Freedman, M., & Moscovitch, M. (2007). Associative (prosop)agnosia without (apparent) perceptual deficits: a case-study. Neuropsychologia, 45(8), 1658–1671. https://doi.org/10.1016/j.neuropsychologia.2007.01.003 

Barense M. D., Warren. J. D., Bussey, T. J., Saksida, L. M. (2016) Oxford Textbook of Cognitive Neurology & Dementia, Chapter 4: The temporal lobes. https://academic.oup.com/book/24555/chapter-abstract/187755187?redirectedFrom=fulltext 

Best, J. R., & Miller, P. H. (2010). A developmental perspective on executive function. Child development, 81(6), 1641–1660. https://doi.org/10.1111/j.1467-8624.2010.01499.x 

Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009). Where is the semantic system? A critical review and meta-analysis of 120 functional neuroimaging studies. Cerebral cortex (New York, N.Y.: 1991), 19(12), 2767–2796. https://doi.org/10.1093/cercor/bhp055 

Florence Bouhali, F., Thiebaut de Schotten, M., Pinel, P., Poupon, C., Mangin, J. F., Dehaen, S., & Cohen, L. (2014). Anatomical Connections of the Visual Word Form Area. Journal of Neuroscience, 34(46) 15402-15414. https://doi.org/10.1523/JNEUROSCI.4918-13.2014

Buchsbaum, B. R., Hickok, G., Humphries, C. (2001). Role of left posterior superior temporal gyrus in phonological processing for speech perception and production. Cognitive Sci, 25, 663-678. http://www.sciencedirect.com/science/article/pii/S0364021301000489

Campbell, M. E., & Cunnington, R. (2017). More than an imitation game: Top-down modulation of the human mirror system. Neuroscience and Biobehavioral Reviews, 75, 195–202. https://doi.org/10.1016/j.neubiorev.2017.01.035 

Centelles, L., Assaiante, C., Nazarian, B., Anton, J. L., & Schmitz, C. (2011). Recruitment of both the mirror and the mentalizing networks when observing social interactions depicted by point-lights: a neuroimaging study. PloS One, 6(1), e15749.https://doi.org/10.1371/journal.pone.0015749 

Charpentier, C. J., De Neve, J. E., Li, X., Roiser, J. P., & Sharot, T. (2016). Models of Affective Decision Making: How Do Feelings Predict Choice? Psychological Science, 27(6), 763–775. https://doi.org/10.1177/0956797616634654 

Dixon, M. L., & Christoff, K. (2014). The lateral prefrontal cortex and complex value-based learning and decision making. Neuroscience and Biobehavioral Reviews, 45, 9–18. https://doi.org/10.1016/j.neubiorev.2014.04.011 

Domanski C. W. (2013). Mysterious "Monsieur Leborgne": The mystery of the famous patient in the history of neuropsychology is explained. Journal of the History of the Neurosciences, 22(1), 47–52. https://doi.org/10.1080/0964704X.2012.667528 

Domenech, P. & Koechlin, E. (2014). Executive control and decision-making in the prefrontal cortex. Curr Opin Behav Sci, 1, 101-106.
http://www.sciencedirect.com/science/article/pii/S2352154614000278

Doré, B. P., Zerubavel, N., Ochsner, K. N. (2015). Social cognitive neuroscience: A review of core systems. In Mikulincer, M., Shaver, P. R., Borgida, E., & Bargh, J. A. (Eds.), APA Handbook of Personality and Social Psychology, Vol. 1. Attitudes and social cognition (pp. 693–720). American Psychological Association. https://doi.org/10.1037/14341-022  

Frederick R. (2014). Testing for executive function in gibbons. Proceedings of the National Academy of Sciences of the United States of America, 111(13), 4738. https://doi.org/10.1073/pnas.1401589111 

Hickok G. (2009). The functional neuroanatomy of language. Physics of Life Reviews, 6(3), 121–143. https://doi.org/10.1016/j.plrev.2009.06.001 

Huth, A. G., de Heer, W. A., Griffiths, T. L., Theunissen, F. E., & Gallant, J. L. (2016). Natural speech reveals the semantic maps that tile human cerebral cortex. Nature, 532(7600), 453–458. https://doi.org/10.1038/nature17637 

Konopka, G., & Roberts, T. F. (2016). Insights into the Neural and Genetic Basis of Vocal Communication. Cell, 164(6), 1269–1276. https://doi.org/10.1016/j.cell.2016.02.039 

Mzuguchi N., Nakata, H., Kanosue, K. (2016) The right temporoparietal junction encodes efforts of others during action observation. Sci Reports, 6, 30274. https://www.nature.com/articles/srep30274

Peelle J. E. (2012). The hemispheric lateralization of speech processing depends on what "speech" is: a hierarchical perspective. Frontiers in Human Neuroscience, 6, 309. https://doi.org/10.3389/fnhum.2012.00309 

Price C. J. (2012). A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. NeuroImage, 62(2), 816–847. https://doi.org/10.1016/j.neuroimage.2012.04.062 

Soutschek, A., Sauter, M., & Schubert, T. (2015). The Importance of the Lateral Prefrontal Cortex for Strategic Decision Making in the Prisoner's Dilemma. Cognitive, Affective & Behavioral Neuroscience, 15(4), 854–860. https://doi.org/10.3758/s13415-015-0372-5 

Spunt, R. P., Satpute, A. B., & Lieberman, M. D. (2011). Identifying the what, why, and how of an observed action: an fMRI study of mentalizing and mechanizing during action observation. Journal of Cognitive Neuroscience, 23(1), 63–74. https://doi.org/10.1162/jocn.2010.21446

Core Concepts

A beginner's guide to the brain and nervous system.

Explore

Educator Resources

Explain the brain to your students with a variety of teaching tools and resources.

Explore

Ask An Expert

Ask a neuroscientist your questions about the brain.

Submit a Question