Neuroimage-Clinical最新文献

{"title":"Spatial and signal features of white matter integrity and associations with clinical factors: A CARDIA brain MRI study","authors":"Faezeh Vedaei ,&nbsp;Dhivya Srinivasan ,&nbsp;Drew Parker ,&nbsp;Guray Erus ,&nbsp;Sudipto Dolui ,&nbsp;Farzaneh A. Sorond ,&nbsp;David R. Jacobs Jr ,&nbsp;Lenore J. Launer ,&nbsp;Daniel T. Lackland ,&nbsp;Christos Davatzikos ,&nbsp;R.Nick Bryan ,&nbsp;Ilya M. Nasrallah","doi":"10.1016/j.nicl.2025.103768","DOIUrl":"10.1016/j.nicl.2025.103768","url":null,"abstract":"<div><div>White matter hyperintensities (WMH) may be indicative of age-related cerebrovascular diseases and contribute to cognitive and functional decline. Normal appearing WM (NAWM) adjacent to WMH, termed “penumbra,” is known to be vulnerable to future WMH pathology. WM integrity can be evaluated using multiple magnetic resonance imaging (MRI) modalities. We aimed to identify MRI features predictive of WMH growth and to compare the implications of these features based on spatial proximity to existing WMH versus signal features in baseline NAWM. We used baseline and 5-year follow-up MRI scans in 485 middle-aged participants form the Coronary Artery Risk Development in Young Adults (CARDIA). Multimodal MRI at baseline, including fluid attenuated inversion recovery (FLAIR), diffusion tensor imaging (DTI), and cerebral blood flow (CBF), was measured within WM ROIs including baseline WMH and regions that later developed into new WMH, within and external to the baseline penumbra. Overall, we found that 80% of new WMH appeared within the baseline penumbra. We also found lower fractional anisotropy (FA) and CBF and higher FLAIR and median diffusivity (MD) in NAWM at baseline in regions with subsequent WMH growth compared to those without WMH growth. For NAWM regions defined by signal features, subthreshold FA and suprathreshold MD and FLAIR abnormality at baseline were the most robust predictors of WMH growth. Baseline systolic blood pressure had significant associations with baseline abnormalities in NAWM and subsequently with cognitive decline, particularly for FA and MD measures. The findings support the use of DTI as the predictor of WMH growth, which is correlated with subtle, adverse WM alterations and cognitive function years before developing to WMH. The results may contribute to future clinical trials aimed at preserving WM integrity.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103768"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631899","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":"Auditory sensory processing measures using EEG and MEG predict symptom recovery in first-episode psychosis with a single-tone paradigm","authors":"F. López-Caballero,&nbsp;B.A. Coffman,&nbsp;M. Curtis,&nbsp;A.L. Sklar,&nbsp;S. Yi,&nbsp;D.F. Salisbury","doi":"10.1016/j.nicl.2024.103730","DOIUrl":"10.1016/j.nicl.2024.103730","url":null,"abstract":"<div><div>Predicting symptom progression in first-episode psychosis (FEP) is crucial for tailoring treatment and improving outcomes. Temporal lobe function, indicated by neurophysiological biomarkers like N100, predicts symptom progression and correlates with untreated psychosis. Our recent report showed that source-localized magnetoencephalography (MEG) M100 responses to tones in an oddball paradigm predicted recovery in FEP positive symptoms. This study expands these results with a simpler single-tone paradigm, with both MEG and EEG, and measuring associations across symptom dimensions. We recorded MEG (M100) and EEG (N100) in 29 FEP individuals and assessed symptom severity at baseline and after ∼ 7 months using the Positive and Negative Syndrome Scale (PANSS). Sequential regression analyses predicted symptom change (ΔPANSS) from Duration of untreated Active Psychosis (DAP) and baseline M100, controlling for baseline symptoms. Identical regressions were conducted in a subsample measuring N100 with EEG (n = 24). Smaller baseline M100 predicted worse symptom recovery at follow-up, independent of baseline symptom severity. Longer DAP showed a similar predictive effect, but this relationship was accounted for by M100. Regressions revealed M100 predictions were mostly related to general psychopathology. Identical results were found for N100 measured with EEG. Temporal lobe dysfunction in FEP, especially poor auditory sensory processing, indicates a worse recovery trajectory in general psychopathology. Longer untreated psychosis worsens temporal lobe function, predicting poorer progression. N100 measured with EEG and a single-tone task could be a cost-effective tool for informing clinicians about overall symptom progression, guiding treatment resource allocation and interventions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103730"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758393/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142933484","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":"Depth-electrode stimulation and concurrent functional MRI in humans: Factors influencing heating with body coil transmission","authors":"Hiroyuki Oya ,&nbsp;Ralph Adolphs ,&nbsp;Matthew A. Howard ,&nbsp;J. Michael Tyszka","doi":"10.1016/j.nicl.2025.103741","DOIUrl":"10.1016/j.nicl.2025.103741","url":null,"abstract":"<div><div>Electrical-stimulation fMRI (es-fMRI) combines direct stimulation of the brain via implanted electrodes with simultaneous rapid functional magnetic resonance imaging of the evoked response. Widely used to map effective functional connectivity in animal studies, its application to the human brain has been limited due to safety concerns. In particular, the method requires reliable prediction and minimization of local tissue heating close to the electrodes, which will vary with imaging parameters and hardware configurations. Electrode leads for such experiments typically remain connected to stimulators outside the magnet room and cannot therefore be treated as electrically short at the radio frequencies employed for 1.5 T and 3 T fMRI. The potential for significant absorption and scattering of radiofrequency energy from excitation pulses during imaging is therefore a major concern. We report a series of temperature measurements conducted in human brain phantoms at two independent imaging centers to characterize factors effecting RF heating of electrically long leads with body coil transmission at 3 Tesla for temporal RMS RF transmit fields (<span><math><msub><mfenced><mrow><msubsup><mi>B</mi><mrow><mn>1</mn></mrow><mo>+</mo></msubsup></mrow></mfenced><mrow><mi>rms</mi></mrow></msub></math></span>) up to 3.5 µT including multiband echo planar imaging and 3D T2w turbo spin echo imaging. Under all conditions tested, with one exception, the temperature rise measured immediately adjacent to electrode contacts in a head-torso phantom with body coil RF transmission was less than 0.75 °C. We provide detailed quantification across a range of configurations and conclude with specific recommendations for cable routing that will help ensure the safety of es-fMRI in humans and provide essential data to institutional review boards.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103741"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076108","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":"Early cortical alterations and neuropsychological mechanisms in amyotrophic lateral sclerosis","authors":"Qianqian Zhang ,&nbsp;Yu Ding ,&nbsp;Yu Zhang ,&nbsp;Qingyang Li ,&nbsp;Shiyu Shi ,&nbsp;Yaxi Liu ,&nbsp;Sijie Chen ,&nbsp;Qian Wu ,&nbsp;Xiaoquan Xu ,&nbsp;Feiyun Wu ,&nbsp;Xi Cheng ,&nbsp;Qi Niu","doi":"10.1016/j.nicl.2025.103809","DOIUrl":"10.1016/j.nicl.2025.103809","url":null,"abstract":"<div><h3>Objective</h3><div>This study investigates the characteristics of cortical structural and functional alterations in amyotrophic lateral sclerosis (ALS) patients and their modulation of emotional and cognitive functions, as well as to discuss their diagnostic value in early-stage ALS.</div></div><div><h3>Methods</h3><div>Fifty-nine ALS patients (28 in ALS 1 and 31 in ALS 2, categorized using King’s College Staging) and 31 healthy controls were evaluated using multiparametric MRI, motor and neuropsychological assessments, and serum neurofilament light chain (NfL) levels. Mediation analyses were performed to examine how cortical alterations influence the relationship between emotional and cognitive functions. Support vector machine (SVM) classification models were constructed to assess the diagnostic utility of differential cortical parameters.</div></div><div><h3>Results</h3><div>ALS 1 patients exhibited increased cortical thickness (CT) and functional activity in the cingulate and frontotemporal regions, correlating with neuropsychological performance and NfL levels. Mediation analysis revealed that perigenual and frontotemporal functional activity significantly modulated the relationship between depressive symptoms and cognitive function. SVM classification showed that the combined altered regions with Amplitude of Low Frequency Fluctuations (ALFF) model achieved slightly better performance (AUC = 0.853, 95 %CI: 0.687–1.000, <em>p</em> &lt; 0.001) compared to CT (AUC = 0.779, 95 %CI: 0.587–0.972, <em>p</em> &lt; 0.001), although both models showed limited efficacy in differentiating between ALS 1 and ALS 2 groups.</div></div><div><h3>Conclusions</h3><div>Cortical structural and functional alterations in ALS mediate the impact of depression on cognitive function, offering insights into the neuropsychological mechanisms of the disease and potential biomarkers for early-stage diagnosis.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103809"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169839","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":"Overlapping structural and functional connectivity disruptions in clinical high-risk for psychosis participants: A network analysis study","authors":"Angus Paton ,&nbsp;Tineke Grent- ’t-Jong ,&nbsp;Ruchika Gajwani ,&nbsp;Joachim Gross ,&nbsp;Andrew I. Gumley ,&nbsp;Stephen M. Lawrie ,&nbsp;Matthias Schwannauer ,&nbsp;Frauke Schultze-Lutter ,&nbsp;Peter J. Uhlhaas","doi":"10.1016/j.nicl.2025.103803","DOIUrl":"10.1016/j.nicl.2025.103803","url":null,"abstract":"<div><div>Schizophrenia involves aberrant connectivity of anatomical and functional networks. However, it is currently unclear whether such disruptions are present in clinical high-risk for psychosis (CHR-P) participants and whether there may be an overlap between structural and functional connectivity alterations.</div><div>We obtained diffusion magnetic resonance imaging (dMRI) and resting-state, magnetic resonance imaging (rsfMRI) data from N = 110 CHR-P participants and N = 49 healthy controls (HC). A network analysis approach was employed to explore differences in dMRI and rsfMRI connectivity as well as potential overlap between both modalities. In addition, correlations between dMRI and rsfMRI-data, clinical and neurocognitive variables as well as with clinical outcomes were investigated.</div><div>We observed hyper- and hypoconnectivity across occipital, parietal, temporal, and frontal cortices in both dMRI and rsfMRI-data in CHR-Ps. Moreover, dMRI- and rsfMRI-defined overlapping nodes that differed between CHR-Ps vs. HC overlapped with visual networks, right ventral attention network, and right default mode network. Correlational analyses indicated significant relationships between the severity of CHR-P symptoms, cognitive deficits, and dMRI/rsfMRI-defined hypo- and hyper-connectivity. Finally, CHR-P individuals with persistent attenuated psychotic symptoms (APS) were characterised by aberrant dMRI and rsfMRI connectivity compared to non-persistent APS.</div><div>Our study shows subtle but widespread disruptions in dMRI and rsfMRI connectivity in CHR-P participants. Specifically, we identified several occipital, parietal, temporal, and frontal regions that were characterised by hyper and hypoconnectivity which correlated with the severity of clinical symptoms and cognitive impairments. Moreover, our findings suggest that dMRI and rsfMRI connectivity measures could serve as a potential biomarker for clinical outcomes in CHR-Ps.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103803"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221180","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":"Unraveling SNAP: distinct patterns of early neurodegeneration through MRI texture analysis","authors":"Min Jeong Kwon ,&nbsp;Jieun Park ,&nbsp;Sungman Jo ,&nbsp;Jun Sung Kim ,&nbsp;Hyukjun Lee ,&nbsp;Dae Jong Oh ,&nbsp;Ji Won Han ,&nbsp;Ki Woong Kim","doi":"10.1016/j.nicl.2025.103829","DOIUrl":"10.1016/j.nicl.2025.103829","url":null,"abstract":"<div><h3>Aim</h3><div>Suspected non-Alzheimer’s disease pathophysiology (SNAP) is a condition characterized by neurodegeneration in the absence of amyloid beta (Aβ) deposition, posing challenges for early diagnosis. This study aimed to investigate the progression of neurodegeneration in SNAP through the analysis of brain MRI volume and texture.</div></div><div><h3>Methods</h3><div>The study included 449 amyloid-negative participants categorized into three groups: cognitively normal without neurodegeneration (N-CN), cognitively normal with neurodegeneration (N + CN), and MCI with neurodegeneration (N + MCI). Volume and texture metrics were derived from T1-weighted MRI. Texture analysis quantified microstructural changes using grey level co-occurrence matrices, while volume metrics measured atrophy.</div></div><div><h3>Results</h3><div>Texture changes were observed earlier and more widely than volume reductions. In N + CN, texture changes were present in the hippocampus, entorhinal cortex and orbitofrontal cortex. In N + MCI, texture changes extended to frontal and subcortical regions, including the thalamus and putamen, while volume reductions extended to the lateral temporal cortex and amygdala.</div></div><div><h3>Conclusions</h3><div>Texture analysis is a sensitive tool for detecting early neurodegenerative changes in SNAP, capturing microstructural changes preceding volume loss. By integrating texture and volume metrics, this study highlights a distinct neurodegenerative trajectory in SNAP. Future research should validate these findings longitudinally and explore the clinical application of texture metrics.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103829"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321050","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":"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":"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}