{"title":"Leftward asymmetry of the planum temporale and its association with language.","authors":"Emma M Karlsson, Sebastian Ocklenburg","doi":"10.1007/s00429-025-02980-y","DOIUrl":"10.1007/s00429-025-02980-y","url":null,"abstract":"<p><p>Several cortical brain regions show structural left-right asymmetries. One of the most pronounced forms of structural asymmetry in the human brain is the leftward macrostructural asymmetry of the planum temporale, the posterior part of the superior surface of the temporal lobe. The planum temporale overlaps with Wernicke's area, a core structure in the brain network involved in sensory language processing. Therefore, several studies have investigated the association between macrostructural leftward asymmetries of the planum temporale and functional leftward asymmetries in language processing. However, the results of these studies have been ambiguous and sometimes contradictory. In this mini-review article, we argue that asymmetric structure-function associations in the language system cannot be fully understood by only examining averaged asymmetries obtained from macrostructural measures such as volume, cortical thickness, or surface area. Recent in-vivo neuroimaging studies, along with earlier post-mortem histological studies, suggest that the planum temporale also shows substantial leftward asymmetries in its microstructural organization. These microstructural asymmetries concern the columnar organization of the planum temporale and the density of neurites. Importantly, recent studies have shown that microstructural asymmetries in the planum temporale exhibit stronger associations with functional hemispheric lateralization of the language system than macrostructural ones. Based on these findings, we suggest that the association between structural and functional asymmetries in the language system can only be understood if macrostructural and microstructural asymmetries are both considered.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"112"},"PeriodicalIF":2.7,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12227504/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144559098","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}
Yvonne Serhan, Shaymaa Darawshy, Wei Wei, Daniel S Margulies, Karl-Heinz Nenning, Smadar Ovadia-Caro
{"title":"Individual uniqueness of connectivity gradients is driven by the complexity of the embedded networks and their dispersion.","authors":"Yvonne Serhan, Shaymaa Darawshy, Wei Wei, Daniel S Margulies, Karl-Heinz Nenning, Smadar Ovadia-Caro","doi":"10.1007/s00429-025-02976-8","DOIUrl":"10.1007/s00429-025-02976-8","url":null,"abstract":"<p><p>Connectivity gradients are widely used to characterize meaningful principles of functional brain organization in health and disease. However, the degree of individual uniqueness and shared common principles is not yet fully understood. Here, we leveraged the Hangzhou test-retest dataset, comprising repeated resting-state fMRI scans over the span of 1 month, to investigate the balance between individual variation and shared patterns of brain organization. We quantified the short- and long-term stability for the first three connectivity gradients and used connectome fingerprinting to establish the associated individual identification rate. We found that all three connectivity gradients are highly correlated over both short and long time intervals, demonstrating connectome fingerprinting utility. Individual uniqueness was dictated by the complexity of the networks such that heteromodal networks had higher connectome fingerprinting rates than unimodal networks. Importantly, the dispersion of the gradient coefficients associated with canonical functional networks was correlated with identification rates, irrespective of the position along the gradients. Beyond individual uniqueness, between subject similarity was high along the first connectivity gradient, which captures the dissociation between unimodal and heteromodal cortices, and the second connectivity gradient, which differentiates sensory cortices. Our results support the usage of connectivity gradients for the purposes of both group comparisons and prediction of individual behaviours. Our work adds to existing knowledge on the shared versus unique organizational principles and offers insights into the importance of network dispersion to the individual uniqueness it carries.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"110"},"PeriodicalIF":2.7,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226633/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144552270","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}
Holly D H Brown, Richard J W Vernon, Heidi A Baseler, Antony B Morland
{"title":"Reduced functional connectivity between central representations of V1 and foveal-biased face-selective region in central vision loss.","authors":"Holly D H Brown, Richard J W Vernon, Heidi A Baseler, Antony B Morland","doi":"10.1007/s00429-025-02973-x","DOIUrl":"10.1007/s00429-025-02973-x","url":null,"abstract":"<p><p>Individuals with central visual deficits exhibit atrophy of the visual cortex in regions representing the central visual field and show little or no functional response there. Information in the central and peripheral visual field appear to be represented preferentially in extrastriate regions that are selective to faces and places, respectively. We recruited individuals with bilateral macular degeneration (age-related or juvenile) and age-matched sighted controls. We used resting state fMRI (RS-fMRI) to examine functional connectivity between striate (V1) and extrastriate face and place selective areas as it allows better comparison between those with unaffected vision and those with visual loss, whose stimulus related signals are already known to differ from those of controls. Selective deficits emerged in our central loss group, showing reduced functional connectivity between regions with foveal biases (central V1-face area) compared to sighted controls, whereas no such difference emerged in the peripheral biased regions (peripheral V1-place area). This result was evident regardless of whether eyes were closed or open and fixating, but was only significant in the right hemisphere, supporting the functional lateralisation of face processing. This pilot study provides some evidence for reduced functional connectivity between foveal-biased visual areas in central vision loss, suggesting that communication within the posterior visual pathway may be selectively affected in partial vision loss. Functional connectivity differences did not appear to be driven by changes in viewing condition. RS-fMRI is a valuable tool that allows us to explore functional brain changes without the need for retinal input.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"111"},"PeriodicalIF":2.7,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12226640/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144552271","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}
Nawaf Salah Ayad Mohamed, Rahma Marium, Huda Hassan Osman, Meshal Khalid Aljarboua, Leen Arwani, Hassan Mohammed Abdu, Abdulrahman Jubran
{"title":"Impact of repetitive soccer heading on brain health outcomes: a narrative review.","authors":"Nawaf Salah Ayad Mohamed, Rahma Marium, Huda Hassan Osman, Meshal Khalid Aljarboua, Leen Arwani, Hassan Mohammed Abdu, Abdulrahman Jubran","doi":"10.1007/s00429-025-02971-z","DOIUrl":"https://doi.org/10.1007/s00429-025-02971-z","url":null,"abstract":"<p><p>Repetitive head impacts (RHIs) from soccer heading pose significant risks to brain health and cognitive function. While concussions are well-recognized, RHIs often lack immediate symptoms, potentially leading to gradual neurocognitive decline over time. This narrative review synthesizes current research on the effects of soccer heading on brain structure, cognitive skills, and mental well-being. Advanced neuroimaging studies reveal that frequent heading is linked to microstructural changes in white matter, impaired neurovascular coupling, and an increased risk of neurodegenerative conditions, such as chronic traumatic encephalopathy (CTE). Athletes with high exposure to heading frequently experience cognitive and psychological difficulties, including memory problems, executive dysfunction, anxiety, and depression. The variability in research findings indicates that factors such as age, sex, heading technique, and overall exposure may influence individual vulnerability to RHIs. The review explores potential preventive strategies, including protective headgear, neck strengthening exercises, behavioural training, and policy changes to limit heading in youth soccer. Despite these efforts, inconsistencies in the literature highlight the urgent need for longitudinal studies and standardized research methods to evaluate the long-term effects of soccer heading. This review emphasizes the critical need for awareness and regulatory measures to enhance player safety while maintaining the integrity of the sport.</p>","PeriodicalId":9145,"journal":{"name":"Brain Structure & Function","volume":"230 6","pages":"108"},"PeriodicalIF":2.7,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144538785","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}
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}