The first section presents a review of the development of language functions (phonology, vocabulary, grammar) during infancy and the preschool and school years, before narrowing the discussion to the development of specific language skills, such as confrontation naming (CN) (considered a major measure of lexical knowledge) and verbal fluency (VF) (regarded as a major measure of language production ability). By age 6, children present well-developed language skills. The size of the decline in mean BNT scores also increased with successive age decades; that is, there was an accelerating rate of decline associated with age (see Figure 3). Read the winning articles. Figures 4, 5, and 6 present some examples of fMRI activation during different language tasks. Furthermore, gender differences in the maturation rate of both gray and white matter have been reported, with boys showing a faster rate of change than girls [62]. or phonemic subcategory (for instance, words beginning with /a/ to say animal names or fruit names, etc.). [92] in a sample of 1,101 healthy volunteer physicians (aged 2892 years). This review has attempted to elucidate the typical development of language in relation to typical brain development and to reach some conclusions drawn by integrating research from the fields of neuropsychology and neuroimaging. After the first year, word comprehension begins to increase rapidly, though at this age a clear dissociation exists between language expression and comprehension; that is, childrens ability to understand language significantly surpasses their capacity to produce it [28]. First, the so-called regressive theories of neural development propose explaining it on the basis of the selective elimination of certain connections (known as pruning) [19]. It is noteworthy that, when studying language in general and naming ability in particular, most researchers have focused primarily on children and the elderly, frequently leaving a gap that spans adolescence and early adulthood. Schooling appears to influence functional brain organization [132] (for a review see Ardila et al. From 18 to 30 months there is an important increase in vocabulary size and in the comprehension of words that are presented out of context. Changes in gray and white brain matter between the ages of 4 and 22 years in males (adapted from Lenroot et al. Maguire and Frith [83] selected 12 young (2339 years old) and 12 older subjects (6780) and asked them to retrieve real-life autobiographical event memories accrued over decades. [27], phonological processing activation peaks were found in the left frontal lobe and the left temporal and inferior parietal areas. Zec et al. [121]), and SES differences in the function and structure of certain language-supporting brain regions have been reported [133, 134]. It could be conjectured that the brain mechanisms required for language are not fixed at birth but present a dynamic organization during their development and exposure to language [15]. Sophie also learns about the many different ways adults use language. [12]) have departed from the electrophysiological literature, questioned the exclusively innate cerebral organization of language, and postulated a more dynamic developmental process. Two theories have been offered to account for the phenomenon of perceptual narrowing. The areas marked by developmental decreases were distributed bilaterally and were evident most prominently in the medial-frontal and anterior cingulate cortex, the right frontal cortex, the medial-parietal and posterior cingulate cortex, and the bilateral occipitoparietal cortex. The decrease in posterior activation and increase in anterior activation in older brains have been interpreted as part of a compensatory strategy by the frontal lobes [82]. [. fMRI activation rendered in a 3D brain volume. Using time series of three-dimensional magnetic resonance imaging scans, Westerhausen and colleagues [72] showed that children aged 68 years whose callosal isthmus increased in thickness over the course of 2 years showed a decrease in interhemispheric information transfer, whereas children who exhibited a decrease in isthmus thickness showed an increase in information transfer. [52] used diffusion-weighted magnetic resonance imaging to test for age-related WM changes in 42 adolescents (aged 13.521 years). To the best of our knowledge, this study provides the first evidence of bilingualism-related adaptations of white matter microstructure in the human brain. Language Development across the Life Span: A Neuropsychological/Neuroimaging Perspective, Department of Psychology, Florida Atlantic University, 3200 College Avenue, Davie, FL 33314, USA, Florida International University, Miami, FL, USA, Instituto de Neurociencias, Universidad de Guadalajara, Guadalajara, JAL, Mexico, Florida Atlantic University, Davie, FL, USA, http://www.fmriconsulting.com/brodmann/Introduction.html, Note. In CN tasks, increased activation has been observed in the left inferior temporal gyrus (Brodmann areas 19 and 37) and bilaterally in the middle and inferior occipital gyri (Brodmann areas 19 and 18), regions that form part of the occipitotemporal ventral pathway involved in object recognition and the semantic processing of visual information [98]. Next, Sophie starts learning about how adults develop their reading and writing skills. The authors declare that there is no conflict of interests regarding to the publication of this paper. This organization of language in the brain is not exactly the same in children and older adults, and some significant developmental changes have been well documented. Language structure is characterized by the existence of several levels of analysis [2]. Thus, Dehaene-Lambertz et al. [119] found a greater age-related decline in gray matter and a corresponding increase in white matter in boys compared to girls. They used event-related functional magnetic resonance imaging to identify those brain regions that revealed statistically reliable, age-related effects. The posterior-anterior shift in aging,, R. A. Charlton, S. Landau, F. Schiavone et al., A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage,, S. J. Crowe and T. J. Prescott, Continuity and change in the development of category structure: insights from the semantic fluency task,, V. A. Filippetti and R. F. Allegri, Verbal fluency in Spanish-speaking children: analysis model according to task type, clustering, and switching strategies and performance over time,, I. M. Tallberg, E. Ivachova, K. Jones Tinghag, and P. stberg, Swedish norms for word fluency tests: FAS, animals and verbs,, A. S. Chan and M. W. Poon, Performance of 7- to 95-year-old individuals in a Chinese version of the category fluency test,, M. S. Albert, H. S. Heller, and W. Milberg, Changes in naming ability with age,, S. Auriacombe, C. Fabrigoule, S. Lafont, H. Amieva, H. Jacqmin-Gadda, and J. F. Dartigues, Letter and category fluency in normal elderly participants: a population-based study,, K. I. Bolla, S. Gray, S. M. Resnick, R. Galante, and C. Kawas, Category and letter fluency in highly educated older adults,, N. S. Foldi, N. Helm-Estabrooks, J. Redfield, and D. G. Nickel, Perseveration in normal aging: a comparison of perseveration rates on design fluency and verbal generative tasks,, J. K. Gordon and N. K. Kindred, Word retrieval in ageing: an exploration of the task constraint hypothesis,, G. Kav, Phonemic fluency, semantic fluency, and difference scores: normative data for adult Hebrew speakers,, M. S. Khalil, Preliminary Arabic normative data of neuropsychological tests: the verbal and design fluency,, S. Mejia, D. Pineda, L. M. Alvarez, and A. Ardila, Individual differences in memory and executive function abilities during normal aging,, H. Sauzon, C. Raboutet, J. Rodrigues et al., Verbal knowledge as a compensation determinant of adult age differences in verbal fluency tasks over time,, S.-H. Ryu, K. W. Kim, S. Kim et al., Normative study of the category fluency test (CFT) from nationwide data on community-dwelling elderly in Korea,, J. Stokholm, K. Jrgensen, and A. Vogel, Performances on five verbal fluency tests in a healthy, elderly Danish sample,, A. K. Troyer, M. Moscovitch, and G. Winocur, Clustering and switching as two components of verbal fluency: evidence from younger and older healthy adults,, M. Schmitter-Edgecombe, M. Vesneski, and D. W. R. Jones, Aging and word-finding: a comparison of spontaneous and constrained naming tests,, N. S. Wecker, J. H. Kramer, B. J. Hallam, and D. C. Delis, Mental flexibility: age effects on switching,. Positive correlation between left hemisphere lateralization during this language task and age. From 2 to 8 months, babies demonstrate an evident orientation to verbal sounds that gives rise to the so-called mother/father-child dialogue. Using the habituation paradigm (in which infants eventually lose interest in a repeated stimulus and cease to respond to it), it has been shown that babies aged 22 to 140 days are capable of detecting consonant-vowel (CV) changes much better in the right ear (left hemisphere) than the left one (right hemisphere), a finding which indicates that the left hemisphere is likely involved in processing language-related signals right from birth [10]. The latter showed higher white matter integrity mainly in the corpus callosum that extended into the bilateral superior longitudinal fasciculi, the right inferior frontal-occipital fasciculus, and the uncinate fasciculus. Asymmetries in the maturation of Brocas area correlated with asymmetries in the frontotemporal dorsal pathway might provide infants with a phonological loop circuitry much earlier than was previously assumed. The activity in decreasing, age-related regions on average became 50% adult-like at age 12.8 years and 75% adult-like at age 16.5. During the second and third years of life, the ability to not only perceive but actually produce native speech sounds increases significantly, so that by the age of 4-5 years phoneme repertory development doubles, and in the range of 6-to-8 years the typical childs phonological repertoire is complete, regardless of her/his phonological language system [22, 26]. The authors hypothesized that this may be because the specific ability demanded by the phonemic condition depends on the maturation of the frontal system and, hence, the development of executive functions. No related content is available yet for this article. The aim of this paper is to analyze the linguistic-brain associations that occur from birth through senescence. Performance during the phonemic task was equivalent for both age groups and mirrored by strongly left-lateralized (frontal) activity patterns. A. Ghazanfar, Paradoxical psychological functioning in early childhood development, in, E. K. Sander, When are speech sounds learned?, L. Bedore, The acquisition of Spanish, in, A. The total cerebral white matter proportion in a structural MRI study is significantly greater than the change in the total cerebral gray matter proportion [51], while the reduction in gray matter correlates significantly with increases in white matter [52]. Adults are usually capable of actively listening to what an interlocutor is saying and then applying their internal learning schema to make better sense of what they have heard. A maturational shift towards decreased involvement of the right IFG for syntactic processing is found. 8 chapters | It has often been assumed that word retrieval difficulties are found commonly in older adults; indeed, several studies have reported evidence supporting an age-related decline in lexical retrieval ability (e.g., [8486]). Grammar develops rapidly during this age range with a significant increase in average phrase length from 2.0 to 4.5 words [12]. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Thus, continuous vocabulary expansion may be responsible for the fact that adults generate more words than teenagers. Cluster size (i.e., number of elements per subcategory) was counted from the second word of each group and switches were calculated as the number of times a subject changed from one cluster to another. Among the phonological tasks included in the studies reviewed were syllable repetition or articulation, reading, listening or attending syllables or letters, reading a pseudo-word or counting the number of syllables it contains, counting the syllables in a word, and discriminating whether trial words ended with the same sound. Educational attainment can have a big impact on language use and development in adults. 75 lessons, {{courseNav.course.topics.length}} chapters | As observed in younger individuals, older participants across age groups also tend to perform better on semantic fluency tasks than phonemic fluency tasks. The differences in performance between these two tests (semantic versus phonemic fluency) might be explained by the hierarchical organization of the two categories (phonemic versus semantic), since retrieval by letter requires exploring more subsets of categories than does retrieval of a set like animal names, for example [43]. In contrast, the total volume of WM increases continuously (see Figure 2). In senescence, there is a positive correlation between GM volume and language test performance. Developmental changes in the brain lateralization of language are discussed, emphasizing that in early life there is an increase in functional brain asymmetry for language, but that this asymmetry changes over time, and that changes in the volume of gray and white matter are age-sensitive. There are, however, other variables that may modulate age effects, among which we can mention gender, level of education, socioeconomic status, and bilingualism. Thus, children with no formal schooling were able to separate language symbols from their physical referents and then use them to communicate accurately, though their displays of this ability depended on the cultural relevance of the stimuli used [131].