Neuroimage-Clinical最新文献

{"title":"White matter microstructural integrity mediates associations between prenatal endocrine-disrupting chemicals exposure and intelligence in adolescents","authors":"Shi-Ming Wang ,&nbsp;Hui-Ju Wen ,&nbsp;Fan Huang ,&nbsp;Chien-Wen Sun ,&nbsp;Chih-Mao Huang ,&nbsp;Shu-Li Wang","doi":"10.1016/j.nicl.2025.103758","DOIUrl":"10.1016/j.nicl.2025.103758","url":null,"abstract":"<div><div>Per- and polyfluoroalkyl substances (PFAS) and phthalic acid esters (PAEs) are well-known endocrine-disrupting chemicals (EDCs) that potentially affect child neurodevelopment. We aimed to investigate the effects of prenatal exposure to PFAS and PAEs on macro- and micro-structural brain development and intelligence in adolescents using multimodal neuroimaging techniques. We employed structural magnetic resonance imaging (MRI) and various diffusion MRI techniques, including diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), and neurite orientation dispersion and density imaging (NODDI), to assess the gray-matter macrostructure and white-matter microstructural integrity and complexity. Participants were drawn from a birth cohort of 52 mother–child pairs in central Taiwan recruited in 2001, and the adolescent intelligence quotient (IQ) scores were assessed using the Wechsler Intelligence Scale. Nine PFAS concentrations of cord blood and maternal serum samples were obtained from the children’s mothers during the third trimester of pregnancy (27–40 weeks) using a liquid chromatography system coupled to a triple-quadrupole mass spectrometer, while maternal urinary phthalates were used to evaluate PAEs exposure. Our results showed significant associations between prenatal exposure to PFAS and phthalates with changes in specific fronto-parietal regions of the adolescent male brain, including reduced cortical thickness in the inferior frontal gyrus and right superior parietal cortex, which are involved in language, memory, and executive function. A dose–response association was observed, with higher levels of PFAS and PAE exposure modulating altered white-matter fiber integrity in the superior cerebellar peduncle and inferior cerebellar peduncle of the male and female adolescent brains. In addition, higher levels of prenatal exposure to EDCs were associated with lower IQ scores in adolescents. Mediation analyses further revealed that white-matter microstructure of inter-hemispheric and cerebellar fibers mediated the association between prenatal EDC exposure and adolescent IQ scores in female adolescents. Our multimodal human neuroimaging findings suggest that prenatal exposure to EDCs may have long-lasting effects on neuroanatomical development, neural fiber connectivity, and intelligence in adolescents, and highlight the importance of using advanced diffusion imaging techniques, including DKI and NODDI, to detect neurodevelopmental changes and their brain-behavioral consequences with the risks associated with these environmental exposures.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103758"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453405","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":"Hypoperfusion regions linked to National Institutes of Health Stroke Scale scores in acute stroke","authors":"Hana Kim ,&nbsp;Alex Teghipco ,&nbsp;Chris Rorden ,&nbsp;Julius Fridriksson ,&nbsp;Mathew Chaves ,&nbsp;Argye E. Hillis","doi":"10.1016/j.nicl.2025.103761","DOIUrl":"10.1016/j.nicl.2025.103761","url":null,"abstract":"<div><h3>Background</h3><div>The National Institutes of Health Stroke Scale (NIHSS) is widely used to assess stroke severity. While prior studies have identified subcortical regions where infarcts correlate with NIHSS scores, stroke symptoms can also arise from hypoperfusion, not just infarcts. Understanding the potential for neurological recovery post-reperfusion is essential for guiding treatment decisions. The goal of this study was to identify brain regions where hypoperfusion correlates with NIHSS scores, using computed tomography perfusion (CTP) scans in cases of acute ischemic stroke.</div></div><div><h3>Methods</h3><div>In this prospective observational study, we analyzed CTP scans and NIHSS scores from 89 patients in the acute phase. We employed a unique support vector regression approach to overcome limitations of traditional mass univariate analyses. Additionally, we used stability selection to identify the most consistent features across subsets, reducing overfitting and ensuring robust predictive models. We verified the consistency of results through nested cross-validation.</div></div><div><h3>Results</h3><div>Both cortical and subcortical areas, including white matter tracts, showed associations with NIHSS scores. These regions aligned with functions such as language, spatial attention, sensory, and motor skills, all assessed by the NIHSS.</div></div><div><h3>Conclusions</h3><div>Our findings reveal that hypoperfusion in specific brain regions, including previously underreported cortical areas, contributes to NIHSS scores in acute stroke. Moreover, this study introduces a novel brain mapping approach using CTP imaging and stability selection, offering a more comprehensive view of acute stroke impairments and the potential for recovery before structural reorganization occurs.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103761"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488060","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":"Diagnostic accuracy of neonatal structural MRI scores to predict 6-year motor outcomes of children born very preterm","authors":"Karen H. Mistry ,&nbsp;Samudragupta Bora ,&nbsp;Kerstin Pannek ,&nbsp;Alex M. Pagnozzi ,&nbsp;Simona Fiori ,&nbsp;Andrea Guzzetta ,&nbsp;Robert S. Ware ,&nbsp;Paul B. Colditz ,&nbsp;Roslyn N. Boyd ,&nbsp;Joanne M. George","doi":"10.1016/j.nicl.2024.103725","DOIUrl":"10.1016/j.nicl.2024.103725","url":null,"abstract":"<div><h3>Aims</h3><div>This study aimed to (1) evaluate associations between Early and Term structural MRI (sMRI) brain abnormality scores and adverse motor outcomes at 6-years corrected age (CA), (2) determine their diagnostic accuracy in predicting adverse motor outcomes and cerebral palsy (CP) at 6-years CA.</div></div><div><h3>Methods</h3><div>Infants born &lt; 31-weeks gestational age (GA) returning for 6-year follow-up were included. Early and Term sMRI were scored using a validated method, deriving white matter, cortical grey matter, deep grey matter, cerebellar and global brain abnormality scores (GBAS). At 6-years CA, Movement Assessment Battery for Children-2nd Edition (MABC-2) was administered. Linear regression assessed associations between Early and Term GBAS/subscale scores and 6-year MABC-2 total score. For diagnostic accuracy, sMRI scores were categorised as none/mild vs moderate/severe, MABC-2 cut-off ≤ 5th percentile, and CP as present/absent.</div></div><div><h3>Results</h3><div>Infants had Early MRI (n = 123) at mean PMA 32.5-weeks (median GA 28.4-weeks; mean birthweight 1101 g) and n = 114 had Term MRI (Mean PMA 40.8-weeks). Nine had CP and n = 116 had MABC-2 scores. Early (B: −1.92; p ≤ 0.001) and Term (B: −1.67; p ≤ 0.01) GBAS were negatively associated with MABC-2 scores. Both Early and Term GBAS had high specificity (Sp) and low sensitivity (Se) in predicting MABC-2 ≤ 5th percentile (Early: Se 36 %, Sp 82 %; Term: Se 28 %, Sp 93 %) and predicted CP with high Se and Sp (Early: Se 78 %, Sp 78 %; Term: Se 75 %, Sp 89 %).</div></div><div><h3>Conclusion</h3><div>High Sp of Early and Term MRI predicting an outcome on MABC-2 may help accurately identify infants unlikely to develop motor impairments at 6-years CA.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103725"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11721883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142866318","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":"Reorganization of cortical individualized differential structural covariance network is associated with regional morphometric changes in chronic subcortical stroke","authors":"Hongchuan Zhang ,&nbsp;Jun Guo ,&nbsp;Jingchun Liu ,&nbsp;Caihong Wang ,&nbsp;Hao Ding ,&nbsp;Tong Han ,&nbsp;Jingliang Cheng ,&nbsp;Chunshui Yu ,&nbsp;Wen Qin","doi":"10.1016/j.nicl.2025.103735","DOIUrl":"10.1016/j.nicl.2025.103735","url":null,"abstract":"<div><div>Patients with chronic subcortical stroke undergo regional and network morphometric reorganizations beyond the lesion site, but the interplay between network and regional reorganization remains poorly understood. We aimed to clarify the reorganization patterns of the individualized differential structural covariance networks (IDSCN) in chronic subcortical stroke and investigate their associations with regional gray matter volume (GMV) changes and functional recovery. Structural MRI from four datasets enrolled 112 patients with chronic subcortical stroke (81 male, age: 55.82 ± 7.79) and 122 matched healthy controls (HC) (74 male; age: 55.28 ± 7.54). Network-based statistics were employed to identify aberrant IDSCN, Spearman correlation was conducted to assess the association between IDSCN and regional GMV alterations, and partial correlation was utilized to investigate the association between abnormal IDSCN and functional recovery. We identified 133 connections with balanced increased and decreased IDSCN. Aberrant IDSCN involved more regions than local GMV alterations, local GMV alteration exhibited intricate correlations with IDSCN, which could explain partly IDSCN reorganization (p &lt; 0.05, corrected). Finally, abnormal IDSCN showed a weak association with long-term clinical recovery (p &lt; 0.01). These findings reinforce the theory of adaptive network reorganization post-stroke and suggest that IDSCN may provide further insights into cortical reorganization and functional rehabilitation beyond regional morphometric measures.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103735"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016498","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":"Posterior hippocampal sparing in Lewy body disorders with Alzheimer’s copathology: An in vivo MRI study","authors":"Jesse S. Cohen ,&nbsp;Jeffrey Phillips ,&nbsp;Sandhitsu R. Das ,&nbsp;Christopher A. Olm ,&nbsp;Hamsanandini Radhakrishnan ,&nbsp;Emma Rhodes ,&nbsp;Katheryn A.Q. Cousins ,&nbsp;Sharon X. Xie ,&nbsp;Ilya M. Nasrallah ,&nbsp;Paul A. Yushkevich ,&nbsp;David A. Wolk ,&nbsp;Edward B. Lee ,&nbsp;Daniel Weintraub ,&nbsp;David J. Irwin ,&nbsp;Corey T. McMillan","doi":"10.1016/j.nicl.2024.103714","DOIUrl":"10.1016/j.nicl.2024.103714","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;Lewy body disorders (LBD), encompassing Parkinson disease (PD), PD dementia (PDD), and dementia with Lewy bodies (DLB), are characterized by alpha-synuclein pathology but often are accompanied by Alzheimer’s disease (AD) neuropathological change (ADNC). The medial temporal lobe (MTL) is a primary locus of tau accumulation and associated neurodegeneration in AD. However, it is unclear the extent to which AD copathology in LBD (LBD/AD+) contributes to MTL-specific patterns of degeneration. We employ a MTL subregional segmentation strategy of T1-weighted (T1w) MRI in biomarker-supported or autopsy-confirmed LBD and LBD/AD+ to investigate the anatomic consequences of co-occurring LBD/AD+ pathology on neurodegeneration.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;We studied 167 individuals with clinical diagnoses of LBD (PD, n = 124 (74.3 %); PDD, n = 11 (6.6 %); DLB, n = 32 (19.2 %)) with available T1w MRI and AD biomarkers or autopsy evidence of ADNC. Individuals were further biologically classified as LBD/AD+ based on hierarchical evidence of ADNC pathology: 1) AD “intermediate” or “high” by ABC neuropathologic criteria (n = 39 (23.4 %)); 2) positive amyloid PET (n = 2 (1.2 %)); or 3) CSF β-amyloid&lt;sub&gt;1-42&lt;/sub&gt; &lt; 185.7 pg/mL n = 126 (75.4 %)). The T1 Automated Segmentation of Hippocampal Subfields (ASHS) pipeline was used to compute volume and thickness measurements of MTL subregions in LBD/AD- and LBD/AD+. Linear regression tested the association of AD copathology and subregion volume/thickness, covarying for age and sex, and intracranial volume for volume measurements. Secondary analyses correlated MTL subregional volume/thickness with cognition and neuropathology.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;LBD/AD+ had decreased volume/thickness compared to LBD/AD- in all MTL subregions except posterior hippocampus. The greatest effect sizes were seen in Brodmann Area 35 (BA35) (Cohen’s d = 0.62, p = 0.002, β = 0.107 ± 0.034), and entorhinal cortex (ERC) (Cohen’s d = 0.56, p = 0.006, β = 0.088 ± 0.031). Smaller differences were seen in the parahippocampal cortex (PHC) (Cohen’s d = 0.5, p = 0.012, β = 0.082 ± 0.033), BA36 (Cohen’s d = 0.47, p = 0.021, β = 0.090 ± 0.039) and anterior hippocampus (Cohen’s d = 0.45, p = 0.029, β = 111.790 ± 50.595). Verbal memory scores positively correlated with volume/thickness in anterior and posterior hippocampus, BA35, ERC and PHC, while visuospatial memory positively correlated only in BA35. In the subset of participants with autopsy, lower ERC volume was associated with a higher tau load in ERC (adjusted odds ratio 0.013, 95 % CI [0.0002, 0.841], uncorrected p = 0.041).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusions&lt;/h3&gt;&lt;div&gt;Relative to LBD/AD-, LBD/AD+ has greater T1w MRI evidence of atrophy in multiple MTL subregions. Atrophy in MTL subregions associates with memory performance and tau pathological load. The observed pattern of atrophy largely follows expectation from AD Braak stages, except for poster","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103714"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11713745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830830","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":"Corrigendum to “A multimodal neuroimaging-based risk score for mild cognitive impairment” [NeuroImage: Clinical 45 (2025) 103719]","authors":"Elaheh Zendehrouh ,&nbsp;Mohammad S.E. Sendi ,&nbsp;Anees Abrol ,&nbsp;Ishaan Batta ,&nbsp;Reihaneh Hassanzadeh ,&nbsp;Vince D. Calhoun","doi":"10.1016/j.nicl.2024.103728","DOIUrl":"10.1016/j.nicl.2024.103728","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103728"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911084","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":"Arterial spin labeling MRI based perfusion pattern related to motor dysfunction and L-DOPA reactivity in Parkinson’s disease","authors":"Qianshi Zheng ,&nbsp;Weijin Yuan ,&nbsp;Jiaqi Wen ,&nbsp;Jianmei Qin ,&nbsp;Chenqing Wu ,&nbsp;Haoting Wu ,&nbsp;Xiaojie Duanmu ,&nbsp;Sijia Tan ,&nbsp;Tao Guo ,&nbsp;Cheng Zhou ,&nbsp;Jingjing Wu ,&nbsp;Jingwen Chen ,&nbsp;Qingze Zeng ,&nbsp;Yuelin Fang ,&nbsp;Bingting Zhu ,&nbsp;Yaping Yan ,&nbsp;Jun Tian ,&nbsp;Baorong Zhang ,&nbsp;Minming Zhang ,&nbsp;Xiaojun Guan ,&nbsp;Xiaojun Xu","doi":"10.1016/j.nicl.2025.103776","DOIUrl":"10.1016/j.nicl.2025.103776","url":null,"abstract":"<div><h3>Objective</h3><div>Identifying intrinsic pattern of Parkinson’s disease (PD) helps to better understand of PD and provide insights to disease identification and treatment monitoring. Here we confirmed the PD-related covariance pattern (PDRP) by using arterial spin labelling technology (ASL-PDRP) and explore its potential for predicting motor progression and levodopa (L-DOPA) reactivity reduction.</div></div><div><h3>Methods</h3><div>Data from an original cohort of 179 PD and 62 normal controls (NC) and a validation cohort including 36 PD and 19 NC to construct and validate the ASL-PDRP. The correlations between the pattern and motor symptoms were analyzed cross-sectionally and longitudinally (71 PD owned longitudinal data) with hierarchical linear regression analysis. Kaplan-Meier analysis was conducted in 54 L-DOPA-managed PD patients to predict the levodopa reactivity reduction.</div></div><div><h3>Results</h3><div>The first principal component was predominantly recognized as the ASL-PDRP, with its expression being higher in PD than NC in both sets (original: <em>P</em> = 0.017, AUC = 0.598; validation: <em>P</em> = 0.024, AUC = 0.661). The pattern expression was associated with UPDRS III (<em>P</em> = 0.006) and sub-symptoms (axial: <em>P</em> &lt; 0.001; rigidity: <em>P</em> = 0.003; bradykinesia: <em>P</em> = 0.015) at baseline. The ASL-PDRP could predict the progression of UPDRS III (<em>P</em> = 0.021, <em>β</em> = 4.930). Higher expression of the pattern had slower rate of levodopa reactivity reduction in PD patients with axial symptom (<em>P</em> = 0.031).</div></div><div><h3>Conclusion</h3><div>The identified ASL-PDRP may have potential for characterizing PD with the ability to predict motor progression and L-DOPA reactivity reduction.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103776"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800415","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":"The pattern and dynamics of white matter alterations in Spinocerebellar ataxia type 1: A diffusion-weighted magnetic resonance imaging study","authors":"Kirsten C.J. Kapteijns ,&nbsp;Teije H. van Prooije ,&nbsp;Hao Li ,&nbsp;Tom W.J. Scheenen ,&nbsp;Anil Man Tuladhar ,&nbsp;Bart P. van de Warrenburg","doi":"10.1016/j.nicl.2025.103783","DOIUrl":"10.1016/j.nicl.2025.103783","url":null,"abstract":"<div><h3>Background</h3><div>Spinocerebellar ataxia type 1 (SCA1) is a rare, neurodegenerative disease. Upcoming clinical disease-modifying trials require biomarkers sensitive to disease progression. This study aims to investigate diffusion MRI (dMRI) metrics as a possible outcome measure in such trials.</div></div><div><h3>Methods</h3><div>46 participants (26 SCA1, 20 matched healthy controls (HC)) underwent 3 T MRI examination and clinical assessment of ataxia severity (SARA) at three timepoints over the duration of two years, including dMRI. Diffusion metrics (fractional anisotropy, mean diffusivity, radial diffusivity, axial diffusivity) were examined using tract-based spatial statistics (TBSS) and ROI-based extraction. Results were evaluated for change over time and relation to disease severity.</div></div><div><h3>Results</h3><div>Cerebellar white matter, in particular all cerebellar peduncles, showed significant (p &lt; 0.001) differences between SCA1 and HC groups at baseline in all diffusion metrics. After two years, dynamics were only observed in the inferior cerebellar peduncle (ICP). However, a sub-group of early-stage disease patients (SARA ≤ 11) showed significant change in the corticospinal tract (CST) and pontine crossing tract (PCT), indicating stage-dependent dynamics. Cortical regions did not show cross-sectional differences between groups, but did change significantly in both anterior and posterior regions in the SCA1 group (p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>SCA1 patients showed ignificantly impaired white matter integrity in the cerebellar regions, when compared to HC. At the group level, diffusion metrics show dynamic effects in the ICP and in cortical regions. Patients in early disease stages furthermore show dynamic change in the CST and PCT. This indicates that white matter alterations follow a specific pattern throughout the disease and that measurements thereof are most useful in clinical trials targeting early disease stages.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103783"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868275","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":"Mechanisms underlying the spontaneous reorganization of depression network after stroke","authors":"Yirong Fang ,&nbsp;Xian Chao ,&nbsp;Zeyu Lu ,&nbsp;Hongmei Huang ,&nbsp;Ran Shi ,&nbsp;Dawei Yin ,&nbsp;Hao Chen ,&nbsp;Yanan Lu ,&nbsp;Jinjing Wang ,&nbsp;Peng Wang ,&nbsp;Xinfeng Liu ,&nbsp;Wen Sun","doi":"10.1016/j.nicl.2024.103723","DOIUrl":"10.1016/j.nicl.2024.103723","url":null,"abstract":"<div><div>Exploring the causal relationship between focal brain lesions and post-stroke depression (PSD) can provide therapeutic insights. However, a gap exists between causal and therapeutic information. Exploring post-stroke brain repair processes post-stroke could bridge this gap.</div><div>We defined a depression network using the normative connectome and investigated the predictive capacity of lesion-induced network damage on depressive symptoms in discovery cohort of 96 patients, at baseline and six months post-stroke. Stepwise functional connectivity (SFC) was used to examine topological changes in the depression network over time to identify patterns of network reorganization. The predictive value of reorganization information was evaluated for follow-up symptoms in discovery and validation cohort 1 (22 worsening PSD patients) as well as for treatment responsiveness in validation cohort 2 (23 antidepressant-treated patients). We evaluated the consistency of significant reorganization areas with neuromodulation targets. Spatial correlations of network reorganization patterns with gene expression and neurotransmitter maps were analyzed.</div><div>The predictive power of network damage for symptoms diminished at follow-up compared to baseline (Δadjusted R² = -0.070, p &lt; 0.001). Reorganization information effectively predicted symptoms at follow-up in the discovery cohort (adjust R² = 0.217, 95 %CI: 0.010 to 0.431), as well as symptom exacerbation (r = 0.421, p = 0.033) and treatment responsiveness (r = 0.587, p = 0.012) in the validation cohorts. Regions undergoing significant reorganization overlapped with neuromodulatory targets known to be effective in treating depression. The reorganization of the depression network was associated with immune-inflammatory responses gene expressions and gamma-aminobutyric acid.</div><div>Our findings may yield important insights into the repair mechanisms of PSD and provide a critical context for developing post-stroke treatment strategies.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103723"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699604/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824543","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":"Post-stroke outcome prediction based on lesion-derived features","authors":"Maedeh Khalilian ,&nbsp;Olivier Godefroy ,&nbsp;Martine Roussel ,&nbsp;Amir Mousavi ,&nbsp;Ardalan Aarabi","doi":"10.1016/j.nicl.2025.103747","DOIUrl":"10.1016/j.nicl.2025.103747","url":null,"abstract":"<div><div>Stroke-induced deficits result from both focal structural damage and widespread network disruption. This study investigated whether simulated measures of network disruption, derived from structural lesions, could predict functional impairments in stroke patients. We extracted four lesion-derived feature sets: lesion masks, probabilistic structural disconnection maps (pSDMs), structural and indirectly estimated functional connectivity strengths between brain regions, and topological properties of functional and structural brain networks to predict motor, executive, and processing speed deficits in 340 S patients, employing PCA-based ridge regression with leave-one-out cross validation.</div><div>The findings revealed that both structural disconnection map patterns and lesion masks were strong predictors of functional deficits. Lesion masks exhibited superior predictive performance relative to unthresholded pSDMs. Furthermore, applying a probability threshold to the pSDMs − retaining only disconnections present in a sufficient proportion of healthy subjects − significantly improved predictive performance. For motor deficits, thresholded SDMs (tSDMs) with thresholds of 0.9 and 0.5 produced the highest R² values, 0.95 for left motor deficits and 0.69 for right motor deficits, respectively. In the case of executive function and processing speed, the highest R² values were 0.58 and 0.64, achieved with tSDM thresholds of 0.3 and 0.5, respectively. Connectome-based features exhibited lower R² values, with structural connection strength alterations showing stronger associations with post-stroke scores compared to changes in functional connectivity. Nodal parameters (degree and clustering coefficient) had lower explanatory power than the SDM features and lesion masks.</div><div>Our findings underscore the effectiveness of lesion masks and thresholded SDMs in predicting post-stroke deficits. This study contributes to the growing body of evidence supporting the reliability of simulated structural networks as a complementary approach to lesion patterns and structural disconnection in predicting post-stroke outcomes.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103747"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182711","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}