Umberto Quartetti, Chiara Finocchiaro, Giuditta Gambino, Filippo Brighina, Angelo Torrente, Fabrizio Di Giovanni, Danila Di Majo, Giuseppe Ferraro, Pierangelo Sardo, Giuseppe Giglia
{"title":"Exploring semantic grounding in the posterior parietal cortex.","authors":"Umberto Quartetti, Chiara Finocchiaro, Giuditta Gambino, Filippo Brighina, Angelo Torrente, Fabrizio Di Giovanni, Danila Di Majo, Giuseppe Ferraro, Pierangelo Sardo, Giuseppe Giglia","doi":"10.1007/s00429-025-02970-0","DOIUrl":"https://doi.org/10.1007/s00429-025-02970-0","url":null,"abstract":"<p><p>This study examines the evolving perspective on semantic processing, which has shifted from the traditional view of an isolated semantic memory system to one that recognizes the involvement of dynamic, distributed neural networks. Recent evidence supports the hypothesis that semantic processing engages both modality-specific and multimodal regions, with the latter serving as integrative \"semantic hubs.\" In this context, our research focuses on the posterior parietal cortices (PPC) and their role in processing space-related semantics. We utilized a low-frequency repetitive Transcranial Magnetic Stimulation (rTMS) protocol targeting the PPC in 11 healthy participants across two tasks. In the first task, in which participants read aloud words from various semantic categories, including space-related terms, no rTMS effects were observed. In the second task, which required participants to respond aloud in a dichotomous manner to questions that either involved or did not involve spatial relations, rTMS over the right PPC impaired response accuracy for both spatial and non-spatial sentences. Additionally, it selectively increased reaction times for spatial sentences, whereas no effect was found for non-spatial sentences. No significant effects emerged following stimulation of the left PPC. The outcomes of the second task, and particularly the increased reaction times when spatial terms were used within sentences to establish spatial relationships, shed light on the multifaceted functions of the right PPC, highlighting its potential role in the semantic processing of space-related words. These findings provide insight into the distributed nature of semantic networks and the specialized contributions of modality-specific areas and multimodal semantic hubs.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"106"},"PeriodicalIF":2.7,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Arkan Al-Zubaidi, Inga M Schepers, Anne-Kathrin Beck, Kerstin Schwabe, Joachim Runge, Mahmoud Abdallat, Joachim K Krauss, Jochem W Rieger
{"title":"Word onset tracking in neural responses of human basal ganglia nuclei.","authors":"Arkan Al-Zubaidi, Inga M Schepers, Anne-Kathrin Beck, Kerstin Schwabe, Joachim Runge, Mahmoud Abdallat, Joachim K Krauss, Jochem W Rieger","doi":"10.1007/s00429-025-02968-8","DOIUrl":"10.1007/s00429-025-02968-8","url":null,"abstract":"","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"105"},"PeriodicalIF":2.7,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12198293/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144483141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
José Pedro Lavrador, Víctor García-Milán, Francesco Marchi, Kapil Rajwani, Nida Kalyal, Andrea Perera, Sankhya Prakashvel, Yasir A Chowdhury, Ali Elhag, Laura Ferrari, Alba Diaz-Baamonde, Richard Gullan, Keyoumars Ashkan, Ranjeev Bhangoo, Ana Mirallave Pescador, Francesco Vergani
{"title":"Anatomo-functional approach to multimodal motor mapping in diffuse glioma surgery: hierarchical networks.","authors":"José Pedro Lavrador, Víctor García-Milán, Francesco Marchi, Kapil Rajwani, Nida Kalyal, Andrea Perera, Sankhya Prakashvel, Yasir A Chowdhury, Ali Elhag, Laura Ferrari, Alba Diaz-Baamonde, Richard Gullan, Keyoumars Ashkan, Ranjeev Bhangoo, Ana Mirallave Pescador, Francesco Vergani","doi":"10.1007/s00429-025-02963-z","DOIUrl":"https://doi.org/10.1007/s00429-025-02963-z","url":null,"abstract":"<p><p>Onco-functional balance during motor-eloquent diffuse glioma resection is challenging. This balance is personal according to individual background, treatment expectations and surgical experience. Nevertheless, preservation of muscle contraction in isolation is no longer an accepted outcome. Motor planning and accurate purposeful execution are essential for useful motor function after surgery. Multiple brain networks work together to achieve this result: local networks focused on motor output, modular networks dedicated to sensorimotor integration and integrative networks responsible for the incorporation of motor function within the overall brain cognition. Intraoperatively, local networks are better probed by asleep techniques whereas integrative networks can only be assessed with awake techniques (modular networks is a crossroad for both techniques). Here, we propose a schematic hierarchical model to address these networks according to an orthogonal plane organization. Local networks are always pivotal given the common final output of motor function. Modular sensorimotor networks achieve their higher specialization within the central lobe given the subcortical connection via specialized U-fiber system underneath central sulcus. Integrative networks are fundamental anterior and posterior to the central lobe within the corona radiata and capsules where the main association fibers that subserve the large brain networks and cognitive hubs are located.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"103"},"PeriodicalIF":2.7,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144315904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fan Zhang, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Lauren J O'Donnell
{"title":"Think deep in the tractography game: deep learning for tractography computing and analysis.","authors":"Fan Zhang, Antoine Théberge, Pierre-Marc Jodoin, Maxime Descoteaux, Lauren J O'Donnell","doi":"10.1007/s00429-025-02938-0","DOIUrl":"10.1007/s00429-025-02938-0","url":null,"abstract":"<p><p>Tractography is a challenging process with complex rules, driving continuous algorithmic evolution to address its challenges. Meanwhile, deep learning has tackled similarly difficult tasks, such as mastering the Go board game and animating sophisticated robots. Given its transformative impact in these areas, deep learning has the potential to revolutionize tractography within the framework of existing rules. This work provides a brief summary of recent advances and challenges in deep learning-based tractography computing and analysis.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"100"},"PeriodicalIF":2.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Integrating EEG and EMG data: a novel statistical pipeline for investigating brain-muscle interaction in experimental neuroarchaeology.","authors":"Simona Affinito, Brienna Eteson, Fotios Alexandros Karakostis","doi":"10.1007/s00429-025-02961-1","DOIUrl":"10.1007/s00429-025-02961-1","url":null,"abstract":"<p><p>This study introduces a novel multivariate statistical pipeline for integrating and analyzing EEG and EMG data in experimental neuroarchaeology, providing a robust framework for investigating brain-hand interactions during a variety of tool-related behaviours. By implementing a multistep approach, it effectively characterizes task/condition-related variations while detecting meaningful covariation patterns between neural and muscular activity. Compared to traditional univariate techniques, this pipeline better addresses the complexity of multimodal datasets, offering a more comprehensive understanding of cognitive-motor dynamics. We demonstrate the utility of this approach using data from a previously conducted experiment on early hominin stone tool use, illustrating how electroencephalography (EEG) and electromyography (EMG) integration can reveal interactions between brain and hand processes across tasks of varying manual complexity. This methodological advancement not only enhances the study of tool-related behaviors but also establishes a standardized framework for future research in neuroarchaeology. Beyond stone tools, this approach could be extended to other forms of material culture, such as ornaments and engravings, contributing to a broader understanding of manual skill development and symbolic behavior.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"101"},"PeriodicalIF":2.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12170762/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Flavio Dell'Acqua, Alexander Leemans, Fan Zhang, Francois Rheault, Shawna Farquharson, Alberto De Luca
{"title":"The tractographer's dilemma: understanding sources of variability in tractography.","authors":"Flavio Dell'Acqua, Alexander Leemans, Fan Zhang, Francois Rheault, Shawna Farquharson, Alberto De Luca","doi":"10.1007/s00429-025-02964-y","DOIUrl":"10.1007/s00429-025-02964-y","url":null,"abstract":"<p><p>Tractography involves many steps, and as such can be heavily affected by data quality, operator decisions such as algorithm and parameter selection and/or biological variables - in addition to random effects such as noise and motion. Due to the interplay between sources of variability, even seemingly minor decisions or overlooked assumptions can lead to major variations in output that can potentially confound tractography results. This article summarizes the main sources of variability in tractography to remind both new and experienced users of the importance of making informed decisions at all stages of the tractography pipeline.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"99"},"PeriodicalIF":2.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The bibliography of Rudolf Nieuwenhuys.","authors":"Suzanne Bakker","doi":"10.1007/s00429-025-02954-0","DOIUrl":"https://doi.org/10.1007/s00429-025-02954-0","url":null,"abstract":"<p><p>This comprehensive bibliography of Rudolf Nieuwenhuys's publications accompanies the multi-authored eulogy: Rudolf Nieuwenhuys (11 June 1927-4 November 2024): a scholarly life (Bakker et al. 2025, https://doi.org/10.1007/s00429-025-02953-1 ). In that article, the sections \"Seventy Years of Comparative Neuroanatomy\" by Hans ten Donkelaar and \"Towards a New Neuromorphology\" by Luis Puelles provide a description of the broad scientific interests of Rudolf. His legacy to the neuroscience community becomes further apparent in this bibliography, a condensed representation of his scientific endeavors.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"102"},"PeriodicalIF":2.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sex differences in structural and functional connectivity in healthy young adults from the Amsterdam Open MRI Collection.","authors":"Xiaojian Kang, Maheen M Adamson, Byung C Yoon","doi":"10.1007/s00429-025-02965-x","DOIUrl":"https://doi.org/10.1007/s00429-025-02965-x","url":null,"abstract":"<p><p>Understanding the structural and functional differences in the brain between sexes may provide insight into the sex differences in behaviors, cognition, and disorders. Structural (SC) and functional (FC) connectivity were examined in this study on 111 (Females = 56) right-handed, healthy, young adults controlled for brain size, using the cluster and region-of-interest (ROI) based algorithms. A nearly moderate correlation between SC and FC was observed for both male and female cohorts, but the degree of correlation was not significantly different between the sexes. Sex differences in SC were found in both intra- and inter-hemispheric clusters and connections, with more differences in the left hemisphere. Compared to males, females were found to have anatomical parcels with higher SC in the left hemisphere involving the language network. Females were also found to have anatomical parcels with higher FC than males in the left hemisphere, including connections to the somatomotor and default mode networks, and lower FC distributed symmetrically between the two hemispheres. These findings highlight the sex differences in the brain structure and function in healthy, young adult populations that may underly behavioral and cognitive differences, including language processing and somatomotor perception.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"98"},"PeriodicalIF":2.7,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144301146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kurt Schilling, Fan Zhang, Claudio Román, Lauren J O'Donnell, Pamela Guevara
{"title":"Short association fiber tractography: key insights and surprising facts.","authors":"Kurt Schilling, Fan Zhang, Claudio Román, Lauren J O'Donnell, Pamela Guevara","doi":"10.1007/s00429-025-02966-w","DOIUrl":"https://doi.org/10.1007/s00429-025-02966-w","url":null,"abstract":"<p><p>Brain short association fibers (SAFs) significantly outnumber long fibers; however, these short connections have been less studied due to their small size, high inter-subject variability, and partial volume effects. Recent advancements in neuroimaging have made SAF tractography feasible through improvements in image quality and processing pipelines, though their tracking remains challenging, requiring specific tractography parameters and adapted pipelines for a reproducible reconstruction of superficial white matter (WM) bundles. Consequently, the segmentation and clustering of U-fibers within SAFs have proven feasible, providing new insights into the organization of cortical connectivity and enabling the study of SAFs in both healthy and pathological brains.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"97"},"PeriodicalIF":2.7,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144293318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}