Neurobiology of Language最新文献

Activity in Occipito-Temporal Cortex Is Involved in Tool-Use Planning and Contributes to Tool-Related Semantic Neural Representations.

IF 3.6

Neurobiology of Language Pub Date : 2024-12-03 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00159

Simon Thibault, Eric Koun, Romeo Salemme, Alice C Roy, Véronique Boulenger, Claudio Brozzoli

{"title":"Activity in Occipito-Temporal Cortex Is Involved in Tool-Use Planning and Contributes to Tool-Related Semantic Neural Representations.","authors":"Simon Thibault, Eric Koun, Romeo Salemme, Alice C Roy, Véronique Boulenger, Claudio Brozzoli","doi":"10.1162/nol_a_00159","DOIUrl":"10.1162/nol_a_00159","url":null,"abstract":"Tool use and language are highly refined human abilities which may show neural commonalities due to their potential reciprocal interaction during evolution. Recent work provided evidence for shared neural resources between tool use and syntax. However, whether activity within the tool-use network also contributes to semantic neural representations of tool nouns remains untested. To this aim, we identified the tool-use planning network with functional magnetic resonance imaging while participants used pliers. The very same participants underwent a semantic priming task including two categories, tool nouns and animal nouns, to highlight the respective underlying networks. With multivariate analyses of the activation neural patterns, we tested whether activity in tool-use brain clusters takes part in the neural representation of tool nouns as compared with animal nouns. The results revealed that word semantic categories were decoded within the left occipito-temporal cortex activated by preparing to use a tool, with similar patterns of brain activity for words within the same category. In addition, in the same area, neural activations for tool nouns were found to be higher than those for animal nouns. These findings suggest that activity in tool-use related brain areas encodes semantic information separately for tool nouns and animal nouns, thus supporting the embodiment of tool-noun processing in the tool-use sensorimotor network.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 4","pages":"1008-1024"},"PeriodicalIF":3.6,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11620707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Domain-Specific Neural Basis of Auditory Statistical Learning in 5-7-Year-Old Children. 5-7 岁儿童听觉统计学习的特定领域神经基础

IF 3.6

Neurobiology of Language Pub Date : 2024-10-28 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00156

Tengwen Fan, Will Decker, Julie Schneider

{"title":"The Domain-Specific Neural Basis of Auditory Statistical Learning in 5-7-Year-Old Children.","authors":"Tengwen Fan, Will Decker, Julie Schneider","doi":"10.1162/nol_a_00156","DOIUrl":"10.1162/nol_a_00156","url":null,"abstract":"Statistical learning (SL) is the ability to rapidly track statistical regularities and learn patterns in the environment. Recent studies show that SL is constrained by domain-specific features, rather than being a uniform learning mechanism across domains and modalities. This domain-specificity has been reflected at the neural level, as SL occurs in regions primarily involved in processing of specific modalities or domains of input. However, our understanding of how SL is constrained by domain-specific features in the developing brain is severely lacking. The present study aims to identify the functional neural profiles of auditory SL of linguistic and nonlinguistic regularities among children. Thirty children between 5 and 7 years old completed an auditory fMRI SL task containing interwoven sequences of structured and random syllable/tone sequences. Using traditional group univariate analyses and a group-constrained subject-specific analysis, frontal and temporal cortices showed significant activation when processing structured versus random sequences across both linguistic and nonlinguistic domains. However, conjunction analyses failed to identify overlapping neural indices across domains. These findings are the first to compare brain regions supporting SL of linguistic and nonlinguistic regularities in the developing brain and indicate that auditory SL among developing children may be constrained by domain-specific features.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 4","pages":"981-1007"},"PeriodicalIF":3.6,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11527419/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142558998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lexical Surprisal Shapes the Time Course of Syntactic Structure Building. 词汇惊奇影响句法结构构建的时间进程

IF 3.6

Neurobiology of Language Pub Date : 2024-10-11 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00155

Sophie Slaats, Antje S Meyer, Andrea E Martin

{"title":"Lexical Surprisal Shapes the Time Course of Syntactic Structure Building.","authors":"Sophie Slaats, Antje S Meyer, Andrea E Martin","doi":"10.1162/nol_a_00155","DOIUrl":"https://doi.org/10.1162/nol_a_00155","url":null,"abstract":"When we understand language, we recognize words and combine them into sentences. In this article, we explore the hypothesis that listeners use probabilistic information about words to build syntactic structure. Recent work has shown that lexical probability and syntactic structure both modulate the delta-band (<4 Hz) neural signal. Here, we investigated whether the neural encoding of syntactic structure changes as a function of the distributional properties of a word. To this end, we analyzed MEG data of 24 native speakers of Dutch who listened to three fairytales with a total duration of 49 min. Using temporal response functions and a cumulative model-comparison approach, we evaluated the contributions of syntactic and distributional features to the variance in the delta-band neural signal. This revealed that lexical surprisal values (a distributional feature), as well as bottom-up node counts (a syntactic feature) positively contributed to the model of the delta-band neural signal. Subsequently, we compared responses to the syntactic feature between words with high- and low-surprisal values. This revealed a delay in the response to the syntactic feature as a consequence of the surprisal value of the word: high-surprisal values were associated with a delayed response to the syntactic feature by 150-190 ms. The delay was not affected by word duration, and did not have a lexical origin. These findings suggest that the brain uses probabilistic information to infer syntactic structure, and highlight an importance for the role of time in this process.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 4","pages":"942-980"},"PeriodicalIF":3.6,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11556436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142629695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data. 针对连续多波段 fMRI 数据中与口语发音相关的伪影的去噪方法比较。

IF 3.6

Neurobiology of Language Pub Date : 2024-09-11 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00151

Angelique Volfart, Katie L McMahon, Greig I de Zubicaray

{"title":"A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data.","authors":"Angelique Volfart, Katie L McMahon, Greig I de Zubicaray","doi":"10.1162/nol_a_00151","DOIUrl":"https://doi.org/10.1162/nol_a_00151","url":null,"abstract":"It is well-established from fMRI experiments employing gradient echo echo-planar imaging (EPI) sequences that overt speech production introduces signal artefacts compromising accurate detection of task-related responses. Both design and post-processing (denoising) techniques have been proposed and implemented over the years to mitigate the various noise sources. Recently, fMRI studies of speech production have begun to adopt multiband EPI sequences that offer better signal-to-noise ratio (SNR) and temporal resolution allowing adequate sampling of physiological noise sources (e.g., respiration, cardiovascular effects) and reduced scanner acoustic noise. However, these new sequences may also introduce additional noise sources. In this study, we demonstrate the impact of applying several noise-estimation and removal approaches to continuous multiband fMRI data acquired during a naming-to-definition task, including rigid body motion regression and outlier censoring, principal component analysis for removal of cerebrospinal fluid (CSF)/edge-related noise components, and global fMRI signal regression (using two different approaches) compared to a baseline of realignment and unwarping alone. Our results show the strongest and most spatially extensive sources of physiological noise are the global signal fluctuations arising from respiration and muscle action and CSF/edge-related noise components, with residual rigid body motion contributing relatively little variance. Interestingly, denoising approaches tended to reduce and enhance task-related BOLD signal increases and decreases, respectively. Global signal regression using a voxel-wise linear model of the global signal estimated from unmasked data resulted in dramatic improvements in temporal SNR. Overall, these findings show the benefits of combining continuous multiband EPI sequences and denoising approaches to investigate the neurobiology of speech production.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 4","pages":"901-921"},"PeriodicalIF":3.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11410355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Mechanisms of Learning and Consolidation of Morphologically Derived Words in a Novel Language: Evidence From Hebrew Speakers. 新语言中学习和巩固形态派生词的神经机制：来自希伯来语使用者的证据

IF 3.6

Neurobiology of Language Pub Date : 2024-09-11 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00150

Upasana Nathaniel, Stav Eidelsztein, Kate Girsh Geskin, Brianna L Yamasaki, Bracha Nir, Vedran Dronjic, James R Booth, Tali Bitan

{"title":"Neural Mechanisms of Learning and Consolidation of Morphologically Derived Words in a Novel Language: Evidence From Hebrew Speakers.","authors":"Upasana Nathaniel, Stav Eidelsztein, Kate Girsh Geskin, Brianna L Yamasaki, Bracha Nir, Vedran Dronjic, James R Booth, Tali Bitan","doi":"10.1162/nol_a_00150","DOIUrl":"https://doi.org/10.1162/nol_a_00150","url":null,"abstract":"We examined neural mechanisms associated with the learning of novel morphologically derived words in native Hebrew speakers within the Complementary Learning Systems (CLS) framework. Across four sessions, 28 participants were trained on an artificial language, which included two types of morphologically complex words: linear (root + suffix) with a salient structure, and non-linear (root interleaved with template), with a prominent derivational structure in participants' first language (L1). A third simple monomorphemic condition, which served as baseline, was also included. On the first and fourth sessions, training was followed by testing in an fMRI scanner. Our behavioural results showed decomposition of both types of complex words, with the linear structure more easily learned than the non-linear structure. Our fMRI results showed involvement of frontal areas, associated with decomposition, only for the non-linear condition, after just the first session. We also observed training-related increases in activation in temporal areas specifically for the non-linear condition, which was correlated with participants' L1 morphological awareness. These results demonstrate that morphological decomposition of derived words occurs in the very early stages of word learning, is influenced by L1 experience, and can facilitate word learning. However, in contrast to the CLS framework, we found no support for a shift from reliance on hippocampus to reliance on cortical areas in any of our conditions. Instead, our findings align more closely with recent theories showing a positive correlation between changes in hippocampus and cortical areas, suggesting that these representations co-exist and continue to interact with one another beyond initial learning.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 4","pages":"864-900"},"PeriodicalIF":3.6,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11410356/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Microstructural Properties of the Cerebellar Peduncles in Children With Developmental Language Disorder. 发育性语言障碍儿童小脑脚轮的微观结构特性

IF 3.6

Neurobiology of Language Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00142

Salomi S Asaridou, Gabriel J Cler, Anna Wiedemann, Saloni Krishnan, Harriet J Smith, Hanna E Willis, Máiréad P Healy, Kate E Watkins

{"title":"Microstructural Properties of the Cerebellar Peduncles in Children With Developmental Language Disorder.","authors":"Salomi S Asaridou, Gabriel J Cler, Anna Wiedemann, Saloni Krishnan, Harriet J Smith, Hanna E Willis, Máiréad P Healy, Kate E Watkins","doi":"10.1162/nol_a_00142","DOIUrl":"10.1162/nol_a_00142","url":null,"abstract":"Children with developmental language disorder (DLD) struggle to learn their native language for no apparent reason. While research on the neurobiological underpinnings of the disorder has focused on the role of corticostriatal systems, little is known about the role of the cerebellum in DLD. Corticocerebellar circuits might be involved in the disorder as they contribute to complex sensorimotor skill learning, including the acquisition of spoken language. Here, we used diffusion-weighted imaging data from 77 typically developing and 54 children with DLD and performed probabilistic tractography to identify the cerebellum's white matter tracts: the inferior, middle, and superior cerebellar peduncles. Children with DLD showed lower fractional anisotropy (FA) in the inferior cerebellar peduncles (ICP), fiber tracts that carry motor and sensory input via the inferior olive to the cerebellum. Lower FA in DLD was driven by lower axial diffusivity. Probing this further with more sophisticated modeling of diffusion data, we found higher orientation dispersion but no difference in neurite density in the ICP of children with DLD. Reduced FA is therefore unlikely to be reflecting microstructural differences in myelination, rather the organization of axons in these pathways is disrupted. ICP microstructure was not associated with language or motor coordination performance in our sample. We also found no differences in the middle and superior peduncles, the main pathways connecting the cerebellum with the cortex. To conclude, it is not corticocerebellar but atypical olivocerebellar white matter connections that characterize DLD and suggest the involvement of the olivocerebellar system in speech and language acquisition and development.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 3","pages":"774-794"},"PeriodicalIF":3.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11338306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Language and the Cerebellum: Structural Connectivity to the Eloquent Brain. 语言与小脑：与能说会道的大脑的结构连接。

IF 3.6

Neurobiology of Language Pub Date : 2024-08-15 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00085

Katie R Jobson, Linda J Hoffman, Athanasia Metoki, Haroon Popal, Anthony S Dick, Jamie Reilly, Ingrid R Olson

{"title":"Language and the Cerebellum: Structural Connectivity to the Eloquent Brain.","authors":"Katie R Jobson, Linda J Hoffman, Athanasia Metoki, Haroon Popal, Anthony S Dick, Jamie Reilly, Ingrid R Olson","doi":"10.1162/nol_a_00085","DOIUrl":"10.1162/nol_a_00085","url":null,"abstract":"Neurobiological models of receptive language have focused on the left-hemisphere perisylvian cortex with the assumption that the cerebellum supports peri-linguistic cognitive processes such as verbal working memory. The goal of this study was to identify language-sensitive regions of the cerebellum then map the structural connectivity profile of these regions. Functional imaging data and diffusion-weighted imaging data from the Human Connectome Project (HCP) were analyzed. We found that (a) working memory, motor activity, and language comprehension activated partially overlapping but mostly unique subregions of the cerebellum; (b) the linguistic portion of the cerebello-thalamo-cortical circuit was more extensive than the linguistic portion of the cortico-ponto-cerebellar tract; (c) there was a frontal-lobe bias in the connectivity from the cerebellum to the cerebrum; (d) there was some degree of specificity; and (e) for some cerebellar tracts, individual differences in picture identification ability covaried with fractional anisotropy metrics. These findings yield insights into the structural connectivity of the cerebellum as relates to the uniquely human process of language comprehension.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 3","pages":"652-675"},"PeriodicalIF":3.6,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11338303/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037245","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tracking Components of Bilingual Language Control in Speech Production: An fMRI Study Using Functional Localizers. 跟踪语音生成中的双语语言控制成分：使用功能定位器的 fMRI 研究

IF 3.2

Neurobiology of Language Pub Date : 2024-06-03 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00128

Agata Wolna, Jakub Szewczyk, Michele Diaz, Aleksandra Domagalik, Marcin Szwed, Zofia Wodniecka

{"title":"Tracking Components of Bilingual Language Control in Speech Production: An fMRI Study Using Functional Localizers.","authors":"Agata Wolna, Jakub Szewczyk, Michele Diaz, Aleksandra Domagalik, Marcin Szwed, Zofia Wodniecka","doi":"10.1162/nol_a_00128","DOIUrl":"10.1162/nol_a_00128","url":null,"abstract":"When bilingual speakers switch back to speaking in their native language (L1) after having used their second language (L2), they often experience difficulty in retrieving words in their L1. This phenomenon is referred to as the L2 after-effect. We used the L2 after-effect as a lens to explore the neural bases of bilingual language control mechanisms. Our goal was twofold: first, to explore whether bilingual language control draws on domain-general or language-specific mechanisms; second, to investigate the precise mechanism(s) that drive the L2 after-effect. We used a precision fMRI approach based on functional localizers to measure the extent to which the brain activity that reflects the L2 after-effect overlaps with the language network (Fedorenko et al., 2010) and the domain-general multiple demand network (Duncan, 2010), as well as three task-specific networks that tap into interference resolution, lexical retrieval, and articulation. Forty-two Polish-English bilinguals participated in the study. Our results show that the L2 after-effect reflects increased engagement of domain-general but not language-specific resources. Furthermore, contrary to previously proposed interpretations, we did not find evidence that the effect reflects increased difficulty related to lexical access, articulation, and the resolution of lexical interference. We propose that difficulty of speech production in the picture naming paradigm-manifested as the L2 after-effect-reflects interference at a nonlinguistic level of task schemas or a general increase of cognitive control engagement during speech production in L1 after L2.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 2","pages":"315-340"},"PeriodicalIF":3.2,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11093400/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141238331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Approaches to Measuring Language Lateralisation: An Exploratory Study Comparing Two fMRI Methods and Functional Transcranial Doppler Ultrasound. 测量语言侧化的方法：比较两种 fMRI 方法和功能性经颅多普勒超声的探索性研究。

IF 3.6

Neurobiology of Language Pub Date : 2024-06-03 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00136

Dorothy V M Bishop, Zoe V J Woodhead, Kate E Watkins

{"title":"Approaches to Measuring Language Lateralisation: An Exploratory Study Comparing Two fMRI Methods and Functional Transcranial Doppler Ultrasound.","authors":"Dorothy V M Bishop, Zoe V J Woodhead, Kate E Watkins","doi":"10.1162/nol_a_00136","DOIUrl":"10.1162/nol_a_00136","url":null,"abstract":"In this exploratory study we compare and contrast two methods for deriving a laterality index (LI) from functional magnetic resonance imaging (fMRI) data: the weighted bootstrapped mean from the LI Toolbox (toolbox method), and a novel method that uses subtraction of activations from homologous regions in left and right hemispheres to give an array of difference scores (mirror method). Data came from 31 individuals who had been selected to include a high proportion of people with atypical laterality when tested with functional transcranial Doppler ultrasound (fTCD). On two tasks, word generation and semantic matching, the mirror method generally gave better agreement with fTCD laterality than the toolbox method, both for individual regions of interest, and for a large region corresponding to the middle cerebral artery. LI estimates from this method had much smaller confidence intervals (CIs) than those from the toolbox method; with the mirror method, most participants were reliably lateralised to left or right, whereas with the toolbox method, a higher proportion were categorised as bilateral (i.e., the CI for the LI spanned zero). Reasons for discrepancies between fMRI methods are discussed: one issue is that the toolbox method averages the LI across a wide range of thresholds. Furthermore, examination of task-related t-statistic maps from the two hemispheres showed that language lateralisation is evident in regions characterised by deactivation, and so key information may be lost by ignoring voxel activations below zero, as is done with conventional estimates of the LI.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 2","pages":"409-431"},"PeriodicalIF":3.6,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192441/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Differences in Cortical Surface Area in Developmental Language Disorder. 发育性语言障碍的皮质表面积差异。

IF 3.2

Neurobiology of Language Pub Date : 2024-06-03 eCollection Date: 2024-01-01 DOI: 10.1162/nol_a_00127

Nilgoun Bahar, Gabriel J Cler, Saloni Krishnan, Salomi S Asaridou, Harriet J Smith, Hanna E Willis, Máiréad P Healy, Kate E Watkins

{"title":"Differences in Cortical Surface Area in Developmental Language Disorder.","authors":"Nilgoun Bahar, Gabriel J Cler, Saloni Krishnan, Salomi S Asaridou, Harriet J Smith, Hanna E Willis, Máiréad P Healy, Kate E Watkins","doi":"10.1162/nol_a_00127","DOIUrl":"10.1162/nol_a_00127","url":null,"abstract":"Approximately 7% of children have developmental language disorder (DLD), a neurodevelopmental condition associated with persistent language learning difficulties without a known cause. Our understanding of the neurobiological basis of DLD is limited. Here, we used FreeSurfer to investigate cortical surface area and thickness in a large cohort of 156 children and adolescents aged 10-16 years with a range of language abilities, including 54 with DLD, 28 with a history of speech-language difficulties who did not meet criteria for DLD, and 74 age-matched controls with typical language development (TD). We also examined cortical asymmetries in DLD using an automated surface-based technique. Relative to the TD group, those with DLD showed smaller surface area bilaterally in the inferior frontal gyrus extending to the anterior insula, in the posterior temporal and ventral occipito-temporal cortex, and in portions of the anterior cingulate and superior frontal cortex. Analysis of the whole cohort using a language proficiency factor revealed that language ability correlated positively with surface area in similar regions. There were no differences in cortical thickness, nor in asymmetry of these cortical metrics between TD and DLD. This study highlights the importance of distinguishing between surface area and cortical thickness in investigating the brain basis of neurodevelopmental disorders and suggests the development of cortical surface area to be of importance to DLD. Future longitudinal studies are required to understand the developmental trajectory of these cortical differences in DLD and how they relate to language maturation.","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"5 2","pages":"288-314"},"PeriodicalIF":3.2,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11093399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141238330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0