Neuroimage-Clinical最新文献

{"title":"Posterior hippocampal sparing in Lewy body disorders with Alzheimer’s copathology: An in vivo MRI study","authors":"Jesse S. Cohen , Jeffrey Phillips , Sandhitsu R. Das , Christopher A. Olm , Hamsanandini Radhakrishnan , Emma Rhodes , Katheryn A.Q. Cousins , Sharon X. Xie , Ilya M. Nasrallah , Paul A. Yushkevich , David A. Wolk , Edward B. Lee , Daniel Weintraub , David J. Irwin , Corey T. McMillan","doi":"10.1016/j.nicl.2024.103714","DOIUrl":"10.1016/j.nicl.2024.103714","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Methods</h3><div>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<sub>1-42</sub> < 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.</div></div><div><h3>Results</h3><div>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).</div></div><div><h3>Conclusions</h3><div>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":"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":"Precision targeting of right dorsolateral prefrontal cortex with neuronavigated rTMS alleviates chronic insomnia via functional connectivity reorganization: a randomized neuroimaging trial","authors":"Liang Gong ,&nbsp;Xi Yang ,&nbsp;Yuan He ,&nbsp;Haoyu Li ,&nbsp;Wen Zhou ,&nbsp;Duan Liu ,&nbsp;Bei Zhang ,&nbsp;Chunhua Xi","doi":"10.1016/j.nicl.2025.103815","DOIUrl":"10.1016/j.nicl.2025.103815","url":null,"abstract":"<div><h3>Background</h3><div>Repetitive transcranial magnetic stimulation (rTMS) offers a promising approach for the treatment of insomnia; however, the precise targets and underlying neural mechanisms remain unclear. This randomized, wait-controlled trial aimed to evaluate the clinical efficacy of neuronavigated rTMS targeting the right dorsolateral prefrontal cortex (DLPFC) in chronic insomnia disorder (CID) and to identify potential neural mechanisms associated with therapeutic outcomes.</div></div><div><h3>Methods</h3><div>Fifty patients with CID were randomized to receive 20 sessions of 1 Hz rTMS targeting the right DLPFC or to a waitlist control group. Stimulation coordinates were selected (MNI: 40,39,11) based on our previous neuroimaging <em>meta</em>-analysis, and were precisely localized using MRI-guided neuronavigation. Clinical assessments and resting-state fMRI were conducted before and after the intervention, respectively. Target-based functional connectivity (FC) analysis was used to map rTMS-associated network changes, while causal mediation analysis was used to examine the relationships between neural changes and clinical improvements.</div></div><div><h3>Results</h3><div>Compared to waitlist controls, the rTMS group showed greater improvements in insomnia and mood symptoms (all <em>p</em> &lt; 0.001), with higher response rates (54.55 % vs. 9.09 %) and remission rates (68.18 % vs. 13.64 %). FC analysis showed significant group × time effects on the bilateral DLPFC, middle cingulate cortex, and right anterior cerebellar vermis. Mediation analysis indicated that FC changes in the right DLPFC mediated 24 % of the improvement in insomnia severity (Insomnia Severity Index, <em>p</em> = 0.048).</div></div><div><h3>Conclusion</h3><div>These preliminary findings suggest that precision neuronavigated rTMS targeting the right DLPFC may alleviate insomnia symptoms, with the observed clinical improvements potentially related to the reorganization of the DLPFC network. While these results are encouraging, further research based on placebo-controlled study designs is required to confirm these effects and better understand the underlying mechanisms. This study provides preliminary evidence supporting the integration of precision targeting with neuroimaging to explore the mechanisms underlying the effects of rTMS in insomnia treatment.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103815"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144232606","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":"Predicting memory decline from left temporal lobe epilepsy surgery using preoperative fMRI: a multicenter study","authors":"William L. Gross ,&nbsp;Sara J. Swanson ,&nbsp;Alexander I. Helfand ,&nbsp;Sara B. Pillay ,&nbsp;Colin J. Humphries ,&nbsp;Manoj Raghavan ,&nbsp;Wade M. Mueller ,&nbsp;Chad E. Carlson ,&nbsp;Lisa L. Conant ,&nbsp;Robyn M. Busch ,&nbsp;Mark Lowe ,&nbsp;Madalina E. Tivarus ,&nbsp;Daniel L. Drane ,&nbsp;Monica Jacobs ,&nbsp;Victoria L. Morgan ,&nbsp;Jane B. Allendorfer ,&nbsp;Jerzy P. Szaflarski ,&nbsp;Leonardo Bonilha ,&nbsp;Susan Bookheimer ,&nbsp;Thomas Grabowski ,&nbsp;Jeffrey R. Binder","doi":"10.1016/j.nicl.2025.103804","DOIUrl":"10.1016/j.nicl.2025.103804","url":null,"abstract":"<div><h3>Objective</h3><div>While fMRI language laterality has been used to predict verbal memory after epilepsy surgery, supporting evidence is not yet definitive. The FMRI in Anterior Temporal Epilepsy Surgery (FATES) project was a prospective observational cohort study at 10 US epilepsy centers, performed to determine whether a multivariable model including fMRI language laterality can predict verbal memory outcome 6 months after left temporal lobe epilepsy surgery.</div></div><div><h3>Methods</h3><div>This analysis includes 70 adults who underwent left temporal lobe epilepsy surgeries including hippocampal resection for treatment of epilepsy. Patients completed standard protocols, including preoperative fMRI language mapping with a semantic decision versus tone decision (SDTD) task contrast and preoperative and postoperative verbal memory assessment. Five memory measures, obtained from the Selective Reminding Test, Rey Auditory Verbal Learning Test, and Wechsler Memory Scale, were selected to cover a range of episodic memory tasks including word list learning, delayed list recall, and story recall. Multiple linear regression was performed using the preoperative memory score, duration of epilepsy, age at epilepsy onset, age at surgery, hippocampal sclerosis status, and fMRI SDTD laterality index (LI) as predictor variables for 6-month postoperative verbal memory change.</div></div><div><h3>Results</h3><div>Across different memory measures, decline (defined using Reliable Change Index) was seen in 8%–28% of patients. Changes on all five memory measures were significantly correlated with preoperative score, epilepsy duration, and fMRI SDTD LI. Variance explained by linear regression models for each test ranged from 34%–41%, with fMRI LI independently accounting for 7%–25% of the total variance (all p &lt; 0.05). Cross-validation accuracy for predicting change scores in independent held-back samples ranged from 0.54–0.75 standard deviations of the preoperative sample.</div></div><div><h3>Significance</h3><div>We demonstrate that models incorporating fMRI language LIs from a semantic decision task trained to predict verbal memory decline after left temporal lobe surgery provide meaningful information to help inform patients of the risk associated with left temporal lobe surgery and are practical to implement in different hospital settings. This confirms previous limited evidence that fMRI-based preoperative language protocols can be used to predict verbal episodic memory outcome after left temporal lobe epilepsy surgery.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103804"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138008","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":"Multivariate neural markers of individual differences in thought control difficulties","authors":"Jacob DeRosa ,&nbsp;Harry R. Smolker ,&nbsp;Hyojeong Kim ,&nbsp;Boman Groff ,&nbsp;Jarrod Lewis-Peacock ,&nbsp;Marie T. Banich","doi":"10.1016/j.nicl.2025.103826","DOIUrl":"10.1016/j.nicl.2025.103826","url":null,"abstract":"<div><div>This study identified specific patterns of brain activity distributed within and across four different brain networks associated with an individual’s difficulties in controlling thoughts, a transdiagnostic feature of mental health disorders. Previously, we demonstrated that four working memory control operations—maintaining, replacing, suppressing, and clearing thoughts—are represented by distinct multi-voxel patterns of brain activation. Moreover, the exact pattern that characterizes these operations is distinct across four sets of brain regions, referred to as working memory operation networks, that include a Visual Network (VN), Somatomotor Network (SMN), Default Mode Network (DMN), and Frontoparietal Control Network (FPCN). The current study examined the hypothesis that aspects of these multi-voxel patterns are associated with an individual’s difficulty in controlling thoughts, as derived from a composite of three self-report questionnaires, in a non-clinical (N = 48) sample. Consistent with our hypothesis, three effects were observed. Individuals with higher levels of thought-control difficulty have less distinct multi-voxel patterns for each of the four operations, have a less distinct representation of the suppression and clear operations in the DMN network from its representations in other networks, and have a more variable representation of multiple operations within each of the FPCN, VN and SMN networks. These neural patterns accounted for over 30 % of the variance in self-reported thought difficulties. Moreover, these associations were specific to working memory operations as they were not observed at rest, highlighting their relevance for understanding the neural mechanisms of repetitive negative thinking and their potential as biomarkers for interventions targeting impaired thought control.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103826"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144365288","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 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}

{"title":"Age-related changes in myelin and myelin water quantified with short-TR adiabatic inversion-recovery (STAIR) sequences","authors":"James Lo ,&nbsp;Jiaji Wang ,&nbsp;Dylan Tran ,&nbsp;Gabrielle Nemeh ,&nbsp;Brandon Liu ,&nbsp;Soo Hyun Shin ,&nbsp;Jiyo S. Athertya ,&nbsp;Dawn Schiehser ,&nbsp;Yajun Ma ,&nbsp;Jiang Du","doi":"10.1016/j.nicl.2025.103801","DOIUrl":"10.1016/j.nicl.2025.103801","url":null,"abstract":"<div><div>Myelin proton density fraction (MPDF) and myelin water fraction (MWF) measured with short-TR adiabatic inversion-recovery (STAIR) sequences are potential biomarkers of aging and neurodegeneration, but the effects of aging on MPDF/MWF remain unknown. This study aims to assess relationships between age and MPDF/MWF using the 3D STAIR ultrashort echo time (STAIR-UTE) and STAIR short echo time (STAIR-STE) sequences, respectively. 42 volunteers (29 young (&lt;55y), 13 old (&gt;55y)), were recruited for MPDF and MWF mapping for white matter (WM) and gray matter (GM) on a 3 T scanner. Excellent inter-reader reliability was demonstrated for MPDF and MWF measurements with ICC values of 0.97 and 0.98, respectively, between two readers. In the young group, WM MPDF and MWF range from 8-13 % and 6–13 %, respectively, while GM MPDF and MWF range from 5-7 % and 3–5 %, respectively. In the old group, WM MPDF and MWF range from 6-12 % and 5–13 %, and GM MPDF and MWF range from 3-6 % and 2–5 %, respectively. The young group’s MPDF/MWF values were significantly higher than those of the old group. Altogether, the 42 volunteers display linear and quadratic associations of MPDF/MWF with age. MPDF demonstrated significant correlations with MWF in the majority of brain regions. This study demonstrates the capability of two myelin imaging biomarkers, STAIR-UTE measured MPDF and STAIR-STE measured MWF to map brain myelin and MW. These biomarkers hold the potential to differentiate normal aging from neuroinflammatory/neurodegenerative diseases.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103801"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942873","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":"Use of multi-modal non-contrast MRI to predict functional outcomes after stroke: A study using DP-pCASL, DTI, NODDI, and MAP MRI","authors":"Julia Diamandi ,&nbsp;Christian Raimondo ,&nbsp;Keenan Piper ,&nbsp;Joanna Roy ,&nbsp;Stephanie Serva ,&nbsp;Mahdi Alizadeh ,&nbsp;Adam Flanders ,&nbsp;Stavropoula Tjoumakaris ,&nbsp;Reid Gooch ,&nbsp;Pascal Jabbour ,&nbsp;Robert Rosenwasser ,&nbsp;Nikolaos Mouchtouris","doi":"10.1016/j.nicl.2025.103742","DOIUrl":"10.1016/j.nicl.2025.103742","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aims to assess whether water exchange rate (k_w), a surrogate for blood–brain barrier (BBB) permeability, is associated with functional outcomes in patients with acute ischemic stroke (AIS).</div></div><div><h3>Methods</h3><div>We studied 22 AIS patients enrolled from 1/2022 to 4/2024 who underwent multi-modal non-contrast imaging on a 3.0-Tesla scanner, including DP-pCASL, DTI, NODDI and MAP imaging. For each parametric map, the intensity and standard deviation (SD) were calculated for the infarcted region. The diffusion maps included were b0, Fractional Anisotropy (FA), Mean Diffusivity (MD), Intra-cellular Volume Fraction (ICVF), Free Water Fraction (FWF), and Orientation Dispersion Index (ODI), q-Space Mean Square Displacement (QMSD), Return-to-Axis Probability (RTAP), Return-to-Plane Probability (RTPP), Return-to-Origin Probability (RTOP), Propagator Anisotropy (PA), and non-Gaussianity (NG). The perfusion-based maps were cerebral blood flow (CBF), arterial transit time (ATT), and k_w. The outcome variable was modified Rankin Scale (mRS).</div></div><div><h3>Results</h3><div>Twenty-two patients were included. The average age was 69.5 ± 13.5, the mean NIHSS of 12.4 ± 7.7, and the median infarct of 25.7 (8.4–98.8) ml. Multivariable linear regression identified lower k_w (β = −0.029, p = 0.041), longer time to MRI (β = 0.012, p = 0.013) and larger stroke volume (β = 0.014, p = 0.006) as predictive of higher mRS. Higher CBF (β = 0.660, p = 0.003) and RTAP (β = 1.528, p = 0.010), and lower SD RTAP (β = −0.709, p = 0.016), RTPP (β = −2.132, p = 0.006), and NG (β = −1.036, p = 0.011) were identified as most predictive of k_w through multivariable linear regression analysis.</div></div><div><h3>Conclusions</h3><div>Lower k_w is predictive of higher mRS in patients with AIS. Increasing CBF and RTAP and lower SD RTAP, RTPP, and NG were correlated with higher k_w.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103742"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048588","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":"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":"Atypical oscillatory and aperiodic signatures of visual sampling in developmental dyslexia","authors":"Alessia Santoni ,&nbsp;Giuseppe Di Dona ,&nbsp;David Melcher ,&nbsp;Laura Franchin ,&nbsp;Luca Ronconi","doi":"10.1016/j.nicl.2024.103720","DOIUrl":"10.1016/j.nicl.2024.103720","url":null,"abstract":"<div><div>Temporal processing deficits in Developmental Dyslexia (DD) have been documented extensively at the behavioral level, leading to the formulation of neural theories positing that such anomalies in parsing multisensory input rely on aberrant synchronization of neural oscillations or to an excessive level of neural noise. Despite reading being primarily supported by visual functions, experimental evidence supporting these theories remains scarce. Here, we tested 26 adults with DD (9 females) and 31 neurotypical controls (16 females) with a temporal segregation/integration task that required participants to either integrate or segregate two rapidly presented displays while their EEG activity was recorded. We confirmed a temporal sampling deficit in DD, which specifically affected the rapid segregation of visual input. While the ongoing alpha frequency and the excitation/inhibition (E/I) ratio (i.e., an index of neural noise quantified by the aperiodic exponent) were differently modulated based on task demands in typical readers, DD participants exhibited an impairment in alpha speed modulation and an altered E/I ratio that affected their rapid visual sampling. Nonetheless, an association between visual temporal sampling accuracy and both alpha frequency and the E/I ratio measured at rest were evident in the DD group, further confirming an anomalous interplay between alpha synchronization, the E/I ratio and active visual sampling. These results provide evidence that both trait- and state-like differences in alpha-band synchronization and neural noise levels coexist in the dyslexic brain and are synergistically responsible for cascade effects on visual sampling and reading.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103720"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142792825","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}