{"title":"The Relation of the Home Literacy Environment to White Matter Pathways Associated with Language in Children 5-8 Years Old.","authors":"Alisha B Compton, Avantika Mathur, James R Booth","doi":"10.1162/NOL.a.272","DOIUrl":"10.1162/NOL.a.272","url":null,"abstract":"<p><p>Prior work suggests relations between the home literacy environment (HLE) and white matter in children less than 7 years of age, but studies have not yet examined the relation of HLE to white matter pathways in older children. A study on young children investigated two dorsal tracts (arcuate fasciculus [AF] and superior longitudinal fasciculus [SLF]) and one ventral tract (inferior longitudinal fasciculus [ILF]), but not the inferior fronto-occipital fasciculus (IFOF). Moreover, this study did not use a method to examine specific relations with phonological or semantic mechanisms. The present study examined the relation of HLE to these four white matter pathways in a group of children 5-6 years old (<i>N</i> = 79, <i>M</i> <sub>age</sub> = 5.9) and a group of children 7-8 years old (<i>N</i> = 107, <i>M</i> <sub>age</sub> = 7.6). Participants completed diffusion weighted imaging scans and standardized assessments of phonology and semantics. Preregistered node-wise regression analyses tested relations of HLE to fractional anisotropy (FA). Relations were examined across 100 nodes and in the 30 nodes most associated with phonological awareness in the left AF and left SLF or semantic knowledge in the left IFOF and left ILF. Results only suggest a relation of parent-to-child reading and FA in the left IFOF for the group of children 5-6 years old. We suggest this relation may be related to the importance of picture naming in early shared reading of books. Given the limited relations demonstrated in the current preregistered study with relatively large samples, coupled with inconsistent findings in the literature, future research is needed to investigate robust relations of HLE to white matter.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13506227/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148819535","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}
Helena Balabin, Antonietta Gabriella Liuzzi, Kevin Statz, Marie-Francine Moens, Patrick Dupont, Rik Vandenberghe
{"title":"Compositional Complexity in Text and Images.","authors":"Helena Balabin, Antonietta Gabriella Liuzzi, Kevin Statz, Marie-Francine Moens, Patrick Dupont, Rik Vandenberghe","doi":"10.1162/NOL.a.271","DOIUrl":"10.1162/NOL.a.271","url":null,"abstract":"<p><p>Compositionality enables us to derive the meaning of a complex whole from the syntax and semantics of its individual parts. While compositional processing has primarily been studied in language, similar principles apply to visual scenes, in which meaning can be derived from their individual parts and the relationships between them. In this study, we therefore aimed to explore whether there is a shared neural basis for compositional processing in text and images. Based on abstract meaning representation graphs for text, commonly used to capture \"who is doing what to whom\", and action graph annotations for visual scenes, we defined an analogous graph depth-based notion of compositional complexity. By conducting a functional magnetic resonance imaging experiment in which participants view text-image pairs from the Common Objects in Context-Actions data set, we aimed to identify brain activity patterns related to compositional processing through a combination of univariate and multivariate pattern analysis. Specifically, we hypothesized that there are shared brain regions-such as the pars opercularis, pars triangularis or anterior temporal lobe-involved in processing compositional complexity across text and images. Alternatively, there might exist distinct regions for processing compositional complexity in text and images, without any substantial cross-modal overlap. Our results provided no evidence in support of either hypothesis: no significant neural responses to compositional complexity were observed, in either a shared or modality-specific manner. Given the rigorous control of confounds in our study design, the operationalization of compositional complexity itself may underlie the null result.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13506228/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148819871","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}
Zhenghui Sun, Feipeng Chen, Shaodong Gui, Yajiao Shi, Yiming Yang
{"title":"The Temporal Dynamics of the Labeling Algorithm During Natural Language Comprehension: Neural Evidence for Phrase Grammatical Type Generation.","authors":"Zhenghui Sun, Feipeng Chen, Shaodong Gui, Yajiao Shi, Yiming Yang","doi":"10.1162/NOL.a.264","DOIUrl":"10.1162/NOL.a.264","url":null,"abstract":"<p><p>Language, as a uniquely human faculty, combines words into hierarchical phrases with diverse syntactic-semantic relations (e.g., subject-predicate and modifier-head phrases). These phrase types are theoretically generated through the labeling algorithm at the syntax-semantics interface. Nevertheless, previous research has focused predominantly on the syntactic system, whereas the neural basis and temporal dynamics of labeling remain poorly understood. To address this gap, we developed the Head-Anchored Labeling Manipulation approach. This method manipulates labeling by embedding the same Mandarin noun-verb dual-category words as heads in tightly controlled modifier-head constructions, where the head alone determines the phrase's grammatical type. The representational similarity analysis of EEG data revealed that labeling representations emerged during both the early and middle stages: 192-227, 290-318, 330-360, and 385-416 ms following the dual-category word. Labeling emerged as early as ~200 ms, concurrent with syntactic Merge, and continued into the N400 window. These results demonstrate that labeling dynamically links syntax to conceptual-intentional system and generates phrase types by determining the constituent head. Its early engagement challenges syntax-first models and supports parallel interactive accounts. Moreover, combinability representations (520-596 and 604-632 ms), together with a late event-related brain potential negativity (420-700 ms) elicited by the dual-category word in the baseline condition, reflect increased difficulty in reconciling semantic associations with atypical syntactic configurations. Together, these findings provide clear electrophysiological evidence for the temporal dynamics of labeling and elucidate the processes at the syntax-semantics interface.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13379301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580463","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}
Kelly Mahaffy, Nabin Koirala, Daniel Kleinman, Nicole Landi
{"title":"Structural Brain Correlates of Poor Reading Comprehension.","authors":"Kelly Mahaffy, Nabin Koirala, Daniel Kleinman, Nicole Landi","doi":"10.1162/NOL.a.265","DOIUrl":"10.1162/NOL.a.265","url":null,"abstract":"<p><p>Poor comprehenders (PCs) have typical word reading skill and intelligence but poorer than expected reading comprehension. While the prevalence of PCs is similar to that of poor decoders (individuals who struggle fluently converting written text into spoken language), less is known about the neurobiological substrates of poor comprehension. Extant studies have found small differences in gray matter volume between PCs and poor or typically reading peers. However, a detailed quantification of cortical morphometric features and white matter integrity remains unexplored. Data from 2,100 children (1,200 with imaging data), aged 8-16 years were analyzed to determine if there is a distinct neuroanatomy associated with poor reading comprehension across three common methods for classifying PCs. We computed gray matter volume, cortical thickness, and surface area, as well as white matter measures (mean diffusivity, fractional anisotropy, neurite orientation, and neurite density) for PCs and compared these measures with those of poor decoders and typical readers. Results revealed small but widespread white matter differences, but no gray matter differences between PCs and other readers. PCs showed decreased white matter integrity (increased mean diffusivity, decreased neurite density) in tracts previously associated with reading, including the superior longitudinal fasciculus and inferior longitudinal fasciculus, and in tracts that have been associated with cognitive performance such as the uncinate fasciculus. These results suggest that diffuse structural connectivity differences may underlie reading comprehension weaknesses in the face of intact decoding skills. This is consistent with the behavioral profile of PCs who exhibit a broad pattern of subclinical impairments in language and integrative cognitive processes.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13379302/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580510","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}
Melanie Labusch, Manuel Perea, Tatiana Davydova, María Baena Pérez, Cristina Cano Melle, Esteban Villar Rodriguez, Eric Rivero Zaragoza, Victor Costumero
{"title":"A Matter of Font: Visual Word Form Area Responses to Brand Names Are More Sensitive to Font Than to Letter Case Changes.","authors":"Melanie Labusch, Manuel Perea, Tatiana Davydova, María Baena Pérez, Cristina Cano Melle, Esteban Villar Rodriguez, Eric Rivero Zaragoza, Victor Costumero","doi":"10.1162/NOL.a.268","DOIUrl":"10.1162/NOL.a.268","url":null,"abstract":"<p><p>Lexical access to common words is remarkably robust to changes in surface format (e.g., font, case, color, size), supporting abstractionist models in which orthographic codes are largely invariant to perceptual details. However, recent behavioral experiments have shown that brand names, a type of lexical item that is typically encountered in a highly consistent visual format, are sensitive to modifications of surface format (Labusch, Duñabeitia, & Perea, 2024; Perea et al., 2022). This research has largely focused on behavioral measures, leaving open questions about the neural mechanisms underlying brand name recognition. Here, we used fMRI to examine whether the visual word form area (VWFA) and related regions are sensitive to font and letter case modifications in brand names in a semantic categorization task (brand related to transportation or not). Participants viewed brand names presented either in their typical visual format, or with a modified font or case. Font modifications slowed responses and elicited increased VWFA activation relative to intact logos, whereas case modifications also slowed responses but did not reliably modulate activity in the canonical VWFA ROI. This dissociation constrains strong claims of strict format invariance in the VWFA, while remaining compatible with hierarchical or interactive accounts in which some ventral occipitotemporal populations retain sensitivity to learned surface forms. Rather than supporting a categorical claim of case invariance, the present data indicate stronger sensitivity to font than to letter case when a perceptual format is consistently tied to lexical identity.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13379300/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580487","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}
Sophie Arheix-Parras, Cheng Xiao, Sidney Crouse, Nicholas Riccardi, Karim Johari, Rutvik H Desai
{"title":"The Role of the Anterior Temporal Lobe in Reading: An HD-tDCS Study.","authors":"Sophie Arheix-Parras, Cheng Xiao, Sidney Crouse, Nicholas Riccardi, Karim Johari, Rutvik H Desai","doi":"10.1162/NOL.a.266","DOIUrl":"10.1162/NOL.a.266","url":null,"abstract":"<p><p>The anterior temporal lobe (ATL) is suggested as a semantic hub that may support reading inconsistent words via semantic access. Surface alexia is characterized by difficulty in reading these inconsistent words, and often co-occurs with ATL atrophy and semantic impairments. However, the role of ATL in word reading is unclear, as evidenced by cases of alexia without semantic impairments and semantic impairments without surface alexia. To test its role in reading, we stimulated the ATL using transcranial Direct Current Stimulation in neurotypical participants performing a Word Naming task including consistent and inconsistent words, and a Picture Plausibility (PP) task involving nonverbal semantic judgments. We also stimulated the left tempo-occipital cortex (TOC) during the PP task. Low-frequency inconsistent words were read more slowly than high-frequency inconsistent words in the sham condition. This interaction disappeared with ATL stimulation. We found an interaction between consistency and stimulation in the low-frequency subset, but not in the high-frequency subset. In the PP task, ATL stimulation had no effect, whereas TOC stimulation significantly influenced reaction time. These findings support the left ATL's role in reading inconsistent words, aligning with surface alexia with ATL atrophy. The results also suggest that the left lateral ATL may be involved in lexical rather than purely semantic processes, consistent with lesion studies demonstrating a dissociation between semantic impairments and surface alexia, and possibly also with graded modality-specific specialization of bilateral ATLs. These findings reconcile conflicting findings and elucidate the role of left lateral ATL in reading.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13379303/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148580461","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}
{"title":"Lexical Representations of the Native and Second Languages During L2 Word Reading in Chinese-English Bilinguals.","authors":"Xiaoyu Liu, Lala Gu, Xiaoxue Feng, Yuan Feng, Xingying Lin, Nannan Gu, Leilei Mei","doi":"10.1162/NOL.a.255","DOIUrl":"10.1162/NOL.a.255","url":null,"abstract":"<p><p>The non-selective processing hypothesis for bilinguals posits that during the processing of the target language, the lexical information of the non-target language is concurrently activated. Nonetheless, the lexical representation of bilinguals in both languages and the temporal dynamics of lexical information representation remain unclear. Here, we utilized fMRI in Experiment 1 and EEG in Experiment 2, combined with representational similarity analysis (RSA), to explore the neural representation of lexical access in both the target and non-target languages during L2 word reading and the modulatory effects of processing demands. Results of two Experiments jointly revealed that the lexical information of L2 was represented widely and earlier during L2 lexical processing, whereas the lexical information of L1 was represented widely and earlier during L2 semantic processing. These findings provide spatiotemporally integrated evidence for the bilingual non-selective access hypothesis, indicating that non-selective processing occurs only under conditions of high semantic processing demands.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13293728/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148346676","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}
{"title":"A Unified Neural Time Course for Words, Phrases, and Sentences: MEG Evidence from Parallel Presentation.","authors":"Nigel Flower, Liina Pylkkänen","doi":"10.1162/NOL.a.254","DOIUrl":"10.1162/NOL.a.254","url":null,"abstract":"<p><p>Recent behavioral and neural research on reading shows that humans can extract syntactic structure from short sentences within a fraction of a second-faster than many estimates for recognizing the meaning of a single word. This challenges a core assumption of many language processing models-that combinatory operations depend on prior lexical access. Furthermore, studies using parallel presentation of full sentences have revealed electrophysiological responses remarkably similar to those well established for single words. This raises the question of whether words, phrases, and sentences all move through the same processing stages, regardless of syntactic complexity. Using magnetoencephalography, we examined how single words, phrases, and sentences are processed when all visual information is available at once. Across all three levels, we observed highly similar waveform dynamics, with early responses reflecting bottom-up detection of form, followed by activity in the left anterior and posterior temporal cortices and ventromedial prefrontal cortex consistent with combinatory processing. Of these regions, the left anterior temporal lobe showed effects of bigram frequency suggestive of serial left-to-right dynamics. Together, these results support a Global-to-Sequential Assembly model in which the brain first detects the global form of the stimulus in a snapshot-like manner and then probes its combinatory properties through partially serial processes.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13293727/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148346537","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}
Dustin A Chacón, Subhekshya Shrestha, Brian W Dillon, Rajesh Bhatt, Diogo Almeida, Alec Marantz
{"title":"Same Sentences, Different Grammars, Different Brain Responses?: An MEG Study on Case and Agreement Encoding in Hindi and Nepali Split-Ergative Structures.","authors":"Dustin A Chacón, Subhekshya Shrestha, Brian W Dillon, Rajesh Bhatt, Diogo Almeida, Alec Marantz","doi":"10.1162/NOL.a.247","DOIUrl":"10.1162/NOL.a.247","url":null,"abstract":"<p><p>At first glance, the brain's language network appears to be universal, but languages clearly differ. Does the brain adapt to the specific details of individual grammatical systems? Here, we present a magnetoencephalography (MEG) study on case and agreement in Hindi and Nepali. Both languages use split-ergative case systems. However, these systems interact with verb agreement differently-in Hindi, case features conspire to determine which noun phrase (NP) the verb agrees with (subject, object, or neither), but in Nepali the verb always agrees with the subject NP. We found that NPs with different case values elicit different MEG signals around 200-500 and 600-900 ms. In subsequent exploratory analyses, we failed to find a reliable difference in this brain activity between the two languages corresponding to the different relations between case and agreement. However, we identified a portion of the left temporoparietal junction as exhibiting a statistically nonsignificant effect that may warrant further investigation.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13249467/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148219956","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}
J S H Taylor, Adam Jowett, Tibor Auer, Cheng-Yu Hsieh, Angelika Lingnau, Kathleen Rastle
{"title":"The Nature of a Writing System Shapes the Cognitive and Neural Mechanisms for Reading Acquisition.","authors":"J S H Taylor, Adam Jowett, Tibor Auer, Cheng-Yu Hsieh, Angelika Lingnau, Kathleen Rastle","doi":"10.1162/NOL.a.248","DOIUrl":"10.1162/NOL.a.248","url":null,"abstract":"<p><p>Writing systems are cultural inventions that differ in how they represent spoken language. We tested how the brain learns to map arbitrary visual symbols to sound and meaning by comparing neural activity for artificial writing systems that were either alphabetic (systematic symbol-sound mappings) or logographic (arbitrary symbol-sound mappings). Twenty-four adults learned to read aloud and comprehend novel words written in each system. After 2 weeks of training, functional magnetic resonance imaging during reading comprehension revealed that the dorsal pathway (inferior parietal gyrus, inferior frontal gyrus), which is involved in mapping from print-to-sound, was more active for the alphabetic system, whereas the ventral pathway (anterior fusiform gyrus, middle temporal gyrus), which is involved in mapping from print-to-meaning, was more active for the logographic system. Combined with performance differences, these findings indicate that systematic symbol-sound mappings allowed the brain to bridge the interface between vision and meaning via sound, whereas an absence of systematicity made it more efficient to link vision directly to meaning. Thus, the same brain finds different solutions to the problem of reading that capitalise on the statistical properties of culturally invented writing systems.</p>","PeriodicalId":34845,"journal":{"name":"Neurobiology of Language","volume":"7 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13200069/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148036032","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}