Neuroimage-Clinical最新文献

{"title":"Corrigendum to “Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis” [Neuroimage: Clin. 42 (2024) 103598]","authors":"Cui Ci Voon , Tun Wiltgen , Benedikt Wiestler , Sarah Schlaeger , Mark Mühlau","doi":"10.1016/j.nicl.2024.103693","DOIUrl":"10.1016/j.nicl.2024.103693","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103693"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142565306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics feature similarity: A novel approach for characterizing brain network changes in patients with behavioral variant frontotemporal dementia","authors":"Salvatore Nigro ,&nbsp;Marco Filardi ,&nbsp;Benedetta Tafuri ,&nbsp;Roberto De Blasi ,&nbsp;Maria Teresa Dell’Abate ,&nbsp;Alessia Giugno ,&nbsp;Valentina Gnoni ,&nbsp;Giammarco Milella ,&nbsp;Daniele Urso ,&nbsp;Chiara Zecca ,&nbsp;Stefano Zoccolella ,&nbsp;Giancarlo Logroscino","doi":"10.1016/j.nicl.2025.103780","DOIUrl":"10.1016/j.nicl.2025.103780","url":null,"abstract":"<div><h3>Introduction</h3><div>Network modeling is increasingly used to study brain alterations in neurological disorders. In this study, we apply a novel modeling approach based on the similarity of regional radiomics feature to characterize gray matter network changes in patients with behavioral variant frontotemporal dementia (bvFTD) using MRI data.</div></div><div><h3>Methods</h3><div>In this cross-sectional study, we assessed structural 3 T MRI data from twenty patients with bvFTD and 20 cognitively normal controls. Radiomics features were extracted from T1-weighted MRI based on cortical and subcortical brain segmentation. Similarity in radiomics features between brain regions was used to construct intra-individual structural gray matter networks. Regional mean connectivity strength (RMCS) and region-to-region radiomics similarity were compared between bvFTD patients and controls. Finally, associations between network measures, clinical data, and biological features were explored in bvFTD patients.</div></div><div><h3>Results</h3><div>Relative to controls, patients with bvFTD showed higher RMCS values in the superior frontal gyrus, right inferior temporal gyrus and right inferior parietal gyrus (FDR-corrected p &lt; 0.05). Patients with bvFTD also showed several edges of increased radiomics similarity in key components of the frontal, temporal, parietal and thalamic pathways compared to controls (FDR-corrected p &lt; 0.05). Network measures in frontotemporal circuits were associated with Mini-Mental State Examination scores and cerebrospinal fluid total-tau protein levels (Spearman r &gt; |0.7|, p &lt; 0.005).</div></div><div><h3>Conclusions</h3><div>Our study provides new insights into frontotemporal network changes associated with bvFTD, highlighting specific associations between network measures and clinical/biological features. Radiomics feature similarity analysis could represent a useful approach for characterizing brain changes in patients with frontotemporal dementia.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103780"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models","authors":"Yinping Lu ,&nbsp;Luyao Wang ,&nbsp;Toshiya Murai ,&nbsp;Jinglong Wu ,&nbsp;Dong Liang ,&nbsp;Zhilin Zhang","doi":"10.1016/j.nicl.2025.103764","DOIUrl":"10.1016/j.nicl.2025.103764","url":null,"abstract":"<div><div>Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by the disconnection of white matter fibers and disrupted functional connectivity of gray matter; however, the pathological mechanisms linking structural and functional changes remain unclear. This study aimed to explore the interaction between the structural and functional brain network in AD using advanced structural–functional coupling (S-F coupling) models to assess whether these changes correlate with cognitive function, Aβ deposition levels, and gene expression. In this study, we utilized multimodal magnetic resonance imaging data from 41 individuals with AD, 112 individuals with mild cognitive impairment, and 102 healthy controls to explore these mechanisms. We applied different computational models to examine the changes in the S-F coupling associated with AD. Our results showed that the communication and graph harmonic models demonstrated greater heterogeneity and were more sensitive than the statistical models in detecting AD-related pathological changes. In addition, S-F coupling increases with AD progression at the global, subnetwork, and regional node levels, especially in the medial prefrontal and anterior cingulate cortices. The S-F coupling of these regions also partially mediated cognitive decline and Aβ deposition. Furthermore, gene enrichment analysis revealed that changes in S-F coupling were strongly associated with the regulation of cellular catabolic processes. This study advances our understanding of the interaction between structural and functional connectivity and highlights the importance of S-F coupling in elucidating the neural mechanisms underlying cognitive decline in AD.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103764"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Striato-cortical connectivity patterns predict clinical profiles in Huntington’s disease","authors":"Audrey E. De Paepe ,&nbsp;Vasiliki Bikou ,&nbsp;Eylül Turan ,&nbsp;Alexis Pérez-Bellido ,&nbsp;Clara Garcia-Gorro ,&nbsp;Nadia Rodriguez-Dechicha ,&nbsp;Irene Vaquer ,&nbsp;Matilde Calopa ,&nbsp;Ruth de Diego-Balaguer ,&nbsp;Estela Camara","doi":"10.1016/j.nicl.2025.103788","DOIUrl":"10.1016/j.nicl.2025.103788","url":null,"abstract":"<div><h3>Background</h3><div>Huntington’s disease is an inherited neurodegenerative disorder affecting striato-cortical circuits, with significant heterogeneity in the severity and progression of symptoms and neurodegenerative patterns.</div></div><div><h3>Objectives</h3><div>To identify how distinct functional striato-cortical connectivity signatures may predict clinical profiles in Huntington’s disease.</div></div><div><h3>Methods</h3><div>Thirty-eight Huntington’s disease gene expansion carriers underwent cross-sectional motor, cognitive, and behavioral assessments and multimodal MRI. Principal component analysis was employed to characterize Huntington’s disease clinical profiles. Next, seed-based whole-brain functional connectivity maps were derived for three basal ganglia seeds (caudate nucleus, putamen, nucleus accumbens) to delineate cortico-striatal connections. Multiple linear regressions assessed relationships between resulting clinical profiles and seed-based resting-state functional connectivity maps. Finally, basal ganglia gray matter volumes were examined in relation to clinical profiles and connectivity.</div></div><div><h3>Results</h3><div>Principal component analysis identified two main clinical profiles in Huntington’s disease: motor-cognitive and behavioral. Multiple linear regression models revealed distinct functional neural signatures associated with each profile. Motor-cognitive symptoms related with a divergent connectivity pattern, specifically decreased connectivity between the caudate and putamen with executive and premotor areas, in contrast to increased connectivity between the ventral nucleus accumbens and executive network regions. Meanwhile, the behavioral profile was linked to decreased connectivity in limbic networks. Basal ganglia atrophy was associated with increased nucleus accumbens-cortical connectivity as well as motor-cognitive symptom severity.</div></div><div><h3>Conclusions</h3><div>Distinct Huntington’s disease clinical profiles can be characterized by predominantly motor-cognitive or behavioral disturbances, each related with unique functional and structural brain signatures. This substantiates that striato-cortical circuits exhibit functional interaction and potential reorganization.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103788"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Partial volume effect correction impairs the diagnostic utility of [18F]-THK-5351 PET in nonfluent-agrammatic variant primary progressive aphasia","authors":"Patrick J. Sommer ,&nbsp;Sebastian Schuster ,&nbsp;Oliver Goldhardt ,&nbsp;Nobuyuki Okamura ,&nbsp;Felix Mueller-Sarnowski ,&nbsp;Maximilian Scheifele ,&nbsp;Florian Eckenweber ,&nbsp;Annika Kreuzer ,&nbsp;Maria Griessl ,&nbsp;Peter Bartenstein ,&nbsp;Thomas Wegehaupt ,&nbsp;Lucas Wolski ,&nbsp;Josef Priller ,&nbsp;Axel Rominger ,&nbsp;Leonie Beyer ,&nbsp;Timo Grimmer ,&nbsp;Matthias Brendel","doi":"10.1016/j.nicl.2025.103789","DOIUrl":"10.1016/j.nicl.2025.103789","url":null,"abstract":"<div><h3>Objectives</h3><div>Partial volume effects in positron emission tomography occur frequently in neurodegenerative diseases due to increasing cortical atrophy during the disease course, and fronto-temporal dementia is often characterized by severe atrophy. The aim of this study was to challenge partial volume effect correction (PVEC) in patients with nonfluent-agrammatic variant primary progressive aphasia (nfv-PPA) imaged with [¹⁸F]-THK-5351 PET a marker of reactive neuroinflammatory astrogliosis as well as tau-binding.</div></div><div><h3>Methods</h3><div>Patients with nfv-PPA (n = 20) were imaged with [¹⁸F]-THK-5351 PET accompanied by structural magnetic resonance tomography imaging (MRI). Region specific cortical grey matter volumes and standard uptake value ratios (SUVr) of the Hammers atlas were compared with eight healthy control (HC) (n = 8) data before and after performing region-based voxel-wise PVEC. We evaluated regional coefficients of variance (CoV) and the number of regions with significant [¹⁸F]-THK-5351 PET signal differences between nfv-PPA and controls before and after PVEC. Additionally, a blinded visual read was performed by three nuclear medicine physicians (consensus) before and after PVEC.</div></div><div><h3>Results</h3><div>Prior to PVEC, [¹⁸F]-THK-5351 tracer uptake was significantly higher in the bilateral frontal cortex of patients with nfv-PPA when compared to HC (left &gt; right), despite significant grey matter atrophy in the same brain regions in patients with nfv-PPA. SUVr differences between nfv-PPA and HC were further increased by PVEC in frontal brain regions, but group level variance increased in parallel and reduced the number of significant differences between SUVr of nfv-PPA and HC (uncorrected: 10 significant regions, CoV[nfv-PPA]: 20.8 % ± 4.7 %, CoV[HC]: 7.9 % ± 2.4 %/PVEC: 3 significant regions, CoV[nfv-PPA]: 28.4 % ± 8.9 %, CoV[HC]: 9.8 % ± 2.5 %). Sensitivity/specificity of the visual read for detection of nfv-PPA was 0.85/1.00 without PVEC and 0.85/0.75 with PVEC.</div></div><div><h3>Conclusions</h3><div>[¹⁸F]-THK-5351 PET facilitates detection of pathological alterations in patients with nfvPPA with severe atrophy. PVEC increases quantitative SUVr differences between patients with nfv-PPA and HC but introduces a parallel increase of variance at the group level. Visual assessment of [¹⁸F]-THK-5351 images in patients with nfv-PPA is impaired by PVEC due to loss of specificity and does not support the use of PVEC even in patients with severe atrophy.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103789"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis","authors":"Z. van der Pal ,&nbsp;L. Douw ,&nbsp;A. Genis ,&nbsp;D. van den Bergh ,&nbsp;M. Marsman ,&nbsp;A. Schrantee ,&nbsp;T.F. Blanken","doi":"10.1016/j.nicl.2025.103785","DOIUrl":"10.1016/j.nicl.2025.103785","url":null,"abstract":"<div><div>Understanding complex brain-behaviour relationships in psychiatric and neurological conditions is crucial for advancing clinical insights. This review explores the current landscape of network estimation methods in the context of functional MRI (fMRI) based network neuroscience, focusing on static undirected network analysis. We focused on papers published in a single year (2022) and characterised what we consider the fundamental building blocks of network analysis: sample size, network size, association type, edge inclusion strategy, edge weights, modelling level, and confounding factors. We found that the most common methods across all included studies (n = 191) were the use of pairwise correlations to estimate the associations between brain regions (79.6 %), estimation of weighted networks (95.3 %), and estimation of the network at the individual level (86.9 %). Importantly, a substantial number of studies lacked comprehensive reporting on their methodological choices, hindering the synthesis of research findings within the field. This review underscores the critical need for careful consideration and transparent reporting of fMRI network estimation methodologies to advance our understanding of complex brain-behaviour relationships. By facilitating the integration between network neuroscience and network psychometrics, we aim to significantly enhance our clinical understanding of these intricate connections.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103785"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery","authors":"Catharina Zich ,&nbsp;Nick S. Ward ,&nbsp;Nina Forss ,&nbsp;Sven Bestmann ,&nbsp;Andrew J. Quinn ,&nbsp;Eeva Karhunen ,&nbsp;Kristina Laaksonen","doi":"10.1016/j.nicl.2025.103754","DOIUrl":"10.1016/j.nicl.2025.103754","url":null,"abstract":"<div><div>Improving outcomes after stroke depends on understanding both the causes of initial function/impairment and the mechanisms of recovery. Recovery in patients with initially low function/high impairment is variable, suggesting the factors relating to initial function/impairment are different to the factors important for subsequent recovery. Here we aimed to determine the contribution of altered brain structure and function to initial severity and subsequent recovery of the upper limb post-stroke.</div><div>The Nine-Hole Peg Test was recorded in week 1 and one-month post-stroke and used to divide 36 stroke patients (18 females, age: M = 66.56 years) into those with high/low initial function and high/low subsequent recovery. We determined differences in week 1 brain structure (Magnetic Resonance Imaging) and function (Magnetoencephalography, tactile stimulation) between high/low patients for both initial function and subsequent recovery. Lastly, we examined the relative contribution of changes in brain structure and function to recovery in patients with low levels of initial function.</div><div>Low initial function and low subsequent recovery are related to lower sensorimotor β power and greater lesion-induced disconnection of contralateral [ipsilesional] white-matter motor projection connections. Moreover, differences in intra-hemispheric connectivity (structural and functional) are unique to initial motor function, while differences in inter-hemispheric connectivity (structural and functional) are unique to subsequent motor recovery.</div><div>Function-related and recovery-related differences in brain function and structure after stroke are related, yet not identical. Separating out the factors that contribute to each process is key to identifying potential therapeutic targets for improving outcomes.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103754"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disturbed hierarchy and mediation in reward-related circuits in depression","authors":"Ruikun Yang ,&nbsp;Junxia Chen ,&nbsp;Suping Yue ,&nbsp;Yue Yu ,&nbsp;Jiamin Fan ,&nbsp;Yuling Luo ,&nbsp;Hui He ,&nbsp;Mingjun Duan ,&nbsp;Sisi Jiang ,&nbsp;Dezhong Yao ,&nbsp;Cheng Luo","doi":"10.1016/j.nicl.2025.103739","DOIUrl":"10.1016/j.nicl.2025.103739","url":null,"abstract":"<div><h3>Backgrounds/Objective</h3><div>Deep brain stimulation (DBS) has proved the viability of alleviating depression symptoms by stimulating deep reward-related nuclei. This study aims to investigate the abnormal connectivity profiles among superficial, intermediate, and deep brain regions within the reward circuit in major depressive disorder (MDD) and therefore provides references for identifying potential superficial cortical targets for non-invasive neuromodulation.</div></div><div><h3>Methods</h3><div>Resting-state functional magnetic resonance imaging data were collected from a cohort of depression patients (N = 52) and demographically matched healthy controls (N = 60). Utilizing existing DBS targets as seeds, we conducted step-wise functional connectivity (sFC) analyses to delineate hierarchical pathways linking to cerebral cortices. Subsequently, the mediation effects of cortical regions on the interaction within reward-related circuits were further explored by constructing mediation models.</div></div><div><h3>Results</h3><div>In both cohorts, sFC analysis revealed two reward-related pathways from the deepest DBS targets to intermediate regions including the thalamus, insula, and anterior cingulate cortex (ACC), then to the superficial cortical cortex including medial frontal cortex, posterior default mode network (pDMN), and right dorsolateral prefrontal cortex (DLPFC). Patients exhibited reduced sFC in bilateral thalamus and medial frontal cortex in short and long steps respectively compared to healthy controls. We also discovered the disappearance of the mediation effects of superficial cortical regions on the interaction between DBS targets and intermediate regions in reward-related pathways in patients with MDD.</div></div><div><h3>Conclusion</h3><div>Our findings support abnormal hierarchical connectivity and mediation effects in reward-related brain regions at different depth levels in MDD, which might elucidate the underlying pathophysiological mechanisms and inspire novel targets for non-invasive interventions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103739"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential patterns of axonal loss associated with threat-related adversity in atypical depression and non-atypical depression","authors":"Huifeng Zhang ,&nbsp;Lei Ding ,&nbsp;Lanxiang He ,&nbsp;Rubai Zhou ,&nbsp;Wenxian Lu ,&nbsp;Tenghuan Xu ,&nbsp;Ye Wu ,&nbsp;Daihui Peng","doi":"10.1016/j.nicl.2025.103786","DOIUrl":"10.1016/j.nicl.2025.103786","url":null,"abstract":"<div><h3>Background</h3><div>Major depressive disorder (MDD) encompasses a broad spectrum of heterogeneous symptoms arising from distinct etiological mechanisms. Phenotypic markers of psychopathology are most likely influenced by exposure to childhood maltreatment, yielding distinct subtypes within conventional diagnostic boundaries. However, the biological interactions between MDD subtypes and types of childhood trauma remain unclear.</div></div><div><h3>Methods</h3><div>50 atypical depression (AD) patients, 97 non-AD patients and 50 healthy controls were included to complete multi-shell diffusion MRI scans and clinical assessments. Differential tractography was performed to clarify the axonal injury between the AD and non-AD groups. Moreover, correlational tractography was employed to individually assess the relationship between quantitative anisotropy (QA) and all types of childhood trauma in each depressed subgroup.</div></div><div><h3>Results</h3><div>Our study found that AD and non-AD patients had differential axonal loss primarily involving the bilateral superior longitudinal fasciculus, arcuate fasciculus, inferior longitudinal fasciculus, parietal aslant tract, and corpus callosum. Furthermore, AD patients showed significantly negative associations between QA values, childhood trauma total scores, and threat-related adversity, while significantly positive associations were observed in non-AD patients. However, similar phenomena were not observed for deprivation-related adversities.</div></div><div><h3>Discussion</h3><div>Our findings indicate differential spatial patterns of axonal alterations associated with threat-related adversity in atypical depression and non-atypical depression. Efforts to attenuate the consequences of childhood maltreatment for MDD should consider the associations between specific patterns of adversity and specific clinical manifestations.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103786"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143833359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural brain network in relation to language in school-aged extremely preterm children: A diffusion tensor imaging study","authors":"M. Boumeester ,&nbsp;E. Blom ,&nbsp;T. Boerma ,&nbsp;F. Lammertink ,&nbsp;M.P. van den Heuvel ,&nbsp;J. Dudink ,&nbsp;M.J.N.L. Benders ,&nbsp;E. Roze","doi":"10.1016/j.nicl.2025.103782","DOIUrl":"10.1016/j.nicl.2025.103782","url":null,"abstract":"<div><div>Between 22 and 45 % of children born preterm experience difficulties with expressive and receptive language when they reach school age. Little is currently known about the neural mechanisms behind their linguistic performance. This study investigates the brain areas and white matter connections that form the structural language network in extremely preterm-born children who have reached school age. Structural brain connectivity was quantified using diffusion-weighted imaging (DWI) and tractography in <em>n</em> = 58 (62 % female) extremely preterm-born children aged 8–12 years. Language outcomes were assessed using the CELF-4-NL Recalling Sentences subtest. Language scores were below average in <em>n</em> = 13 (22 %) children. Language outcomes related significantly to a subnetwork of 16 brain regions (<em>p</em> = 0.012). The network comprised brain regions from the left hemisphere including the pars orbitalis, middle and superior frontal gyrus, frontal pole, pre- and postcentral gyrus, superior temporal gyrus, insula, caudate nucleus, thalamus, and putamen. In the right hemisphere, the anterior cingulate was part of the network. These findings suggest that extremely preterm children rely mostly on their left hemisphere during language processing, which is similar to typically developing children. However, they seem to use compensatory neural pathways that include brain areas right next to the areas typically involved in language processing. These areas include the pars orbitalis (adjacent to Broca’s area) and the putamen and caudate nucleus (adjacent to the limbic system). It is important to note that language difficulties were not necessarily related to brain injury around birth.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103782"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143860528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}