Neuroimage-Clinical最新文献

A multimodal Neuroimaging-Based risk score for mild cognitive impairment 轻度认知障碍的多模态神经影像学风险评分。

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2024.103719

Elaheh Zendehrouh , Mohammad S.E. Sendi , Anees Abrol , Ishaan Batta , Reihaneh Hassanzadeh , Vince D. Calhoun

Introduction

Alzheimer’s disease (AD), the most prevalent age-related dementia, leads to significant cognitive decline. While genetic risk factors and neuroimaging biomarkers have been extensively studied, establishing a neuroimaging-based metric to assess AD risk has received less attention. This study introduces the Brain-wide Risk Score (BRS), a novel approach using multimodal neuroimaging data to assess the risk of mild cognitive impairment (MCI), a precursor to AD.

Methods

Participants from the OASIS-3 cohort (N = 1,389) were categorized into control (CN) and MCI groups. Structural MRI (sMRI) data provided gray matter (GM) segmentation maps, while resting-state functional MRI (fMRI) data yielded functional network connectivity (FNC) matrices via spatially constrained independent component analysis. Similar imaging features were computed from the UK Biobank (N = 37,780). The BRS was calculated by comparing each participant’s neuroimaging features to the difference between average features of CN and MCI groups. Both GM and FNC features were used. The BRS effectively differentiated CN from MCI individuals within OASIS-3 and in an independent dataset from the ADNI cohort (N = 729), demonstrating its ability to identify MCI risk.

Results

Unimodal analysis revealed that sMRI provided greater differentiation than fMRI, consistent with prior research. Using the multimodal BRS, we identified two distinct groups: one with high MCI risk (negative GM and FNC BRS) and another with low MCI risk (positive GM and FNC BRS). Additionally, 46 UK Biobank participants diagnosed with AD showed FNC and GM patterns similar to the high-risk groups.

Conclusion

Validation using the ADNI dataset confirmed our results, highlighting the potential of FNC and sMRI-based BRS in early Alzheimer’s detection.

简介：阿尔茨海默病（AD）是最常见的与年龄相关的痴呆症，可导致显著的认知能力下降。虽然遗传风险因素和神经影像学生物标志物已被广泛研究，但建立基于神经影像学的指标来评估AD风险却很少受到关注。本研究引入了全脑风险评分（BRS），这是一种使用多模态神经成像数据来评估轻度认知障碍（MCI）风险的新方法，轻度认知障碍是AD的前兆。方法：将OASIS-3队列（N = 1389）的参与者分为对照（CN）组和MCI组。结构MRI （sMRI）数据提供灰质（GM）分割图，而静息状态功能MRI （fMRI）数据通过空间约束的独立成分分析产生功能网络连接（FNC）矩阵。从UK Biobank （N = 37,780）计算了类似的成像特征。BRS是通过比较每个参与者的神经影像学特征与CN组和MCI组平均特征之间的差异来计算的。同时使用GM和FNC特征。BRS在绿洲-3和来自ADNI队列（N = 729）的独立数据集中有效地将CN与MCI个体区分开来，证明了其识别MCI风险的能力。结果：单峰分析显示sMRI比fMRI提供更大的分化，与先前的研究一致。使用多模式BRS，我们确定了两个不同的组：一组具有高MCI风险（阴性GM和FNC BRS），另一组具有低MCI风险（阳性GM和FNC BRS）。此外，46名被诊断为AD的英国生物银行参与者显示出与高危人群相似的FNC和GM模式。结论：ADNI数据集的验证证实了我们的结果，突出了FNC和基于smri的BRS在早期阿尔茨海默病检测中的潜力。

{"title":"A multimodal Neuroimaging-Based risk score for mild cognitive impairment","authors":"Elaheh Zendehrouh , Mohammad S.E. Sendi , Anees Abrol , Ishaan Batta , Reihaneh Hassanzadeh , Vince D. Calhoun","doi":"10.1016/j.nicl.2024.103719","DOIUrl":"10.1016/j.nicl.2024.103719","url":null,"abstract":"<div><h3>Introduction</h3><div>Alzheimer’s disease (AD), the most prevalent age-related dementia, leads to significant cognitive decline. While genetic risk factors and neuroimaging biomarkers have been extensively studied, establishing a neuroimaging-based metric to assess AD risk has received less attention. This study introduces the Brain-wide Risk Score (BRS), a novel approach using multimodal neuroimaging data to assess the risk of mild cognitive impairment (MCI), a precursor to AD.</div></div><div><h3>Methods</h3><div>Participants from the OASIS-3 cohort (<em>N</em> = 1,389) were categorized into control (CN) and MCI groups. Structural MRI (sMRI) data provided gray matter (GM) segmentation maps, while resting-state functional MRI (fMRI) data yielded functional network connectivity (FNC) matrices via spatially constrained independent component analysis. Similar imaging features were computed from the UK Biobank (<em>N</em> = 37,780). The BRS was calculated by comparing each participant’s neuroimaging features to the difference between average features of CN and MCI groups. Both GM and FNC features were used. The BRS effectively differentiated CN from MCI individuals within OASIS-3 and in an independent dataset from the ADNI cohort (<em>N</em> = 729), demonstrating its ability to identify MCI risk.</div></div><div><h3>Results</h3><div>Unimodal analysis revealed that sMRI provided greater differentiation than fMRI, consistent with prior research. Using the multimodal BRS, we identified two distinct groups: one with high MCI risk (negative GM and FNC BRS) and another with low MCI risk (positive GM and FNC BRS). Additionally, 46 UK Biobank participants diagnosed with AD showed FNC and GM patterns similar to the high-risk groups.</div></div><div><h3>Conclusion</h3><div>Validation using the ADNI dataset confirmed our results, highlighting the potential of FNC and sMRI-based BRS in early Alzheimer’s detection.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103719"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664180/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142787700","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}

引用次数: 0

Neurotransmitter imbalance, glutathione depletion and concomitant susceptibility increase in Parkinson’s disease

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103740

Su Yan , Bingfang Duan , Yuanhao Li , Hongquan Zhu , Zhaoqi Shi , Xiaoxiao Zhang , Yuanyuan Qin , Wenzhen Zhu

Background

Emerging insights into the pathophysiology of Parkinson’s disease (PD) underscore the involvement of dysregulated neurotransmission, iron accumulation and oxidative stress. Nonetheless, the excitatory and inhibitory neurometabolites, the antioxidant glutathione (GSH), and magnetic susceptibility are seldom studied together in the clinical PD literature.

Methods

We acquired MEGA-PRESS and multi-echo gradient echo sequences from 60 PD patients and 47 healthy controls (HCs). Magnetic resonance spectroscopy voxels were respectively positioned in the midbrain to quantify neurotransmitter including γ-aminobutyric acid (GABA) and glutamate plus glutamine, and in the left striatum to estimate GSH levels. Group differences in metabolite levels normalized to total creatine (Cr) and their clinical relevance were determined. Furthermore, relationships among GSH levels, neurotransmitter estimates and susceptibility values were explored in both PD patients and HCs.

Results

PD patients exhibited reduced midbrain GABA levels (P = 0.034, P_FDR = 0.136), diminished GSH in the left striatum (P = 0.032, P_FDR = 0.096), and increased susceptibility values in the substantia nigra (P_FDR < 0.001). Mesencephalic choline levels were correlated with the severity of rapid eye movement sleep behavior disorders symptoms, whereas striatal N-acetylaspartate levels were linked to Hoehn-Yahr stage and motor symptom severity. Notably, the disruption of associations between striatal GSH levels and susceptibility values in globus pallidus, as well as midbrain GABA levels, were evident in PD.

Conclusions

These findings offer compelling evidence for metabolic dysregulation in PD, characterized by a concomitant reduction in GABA and GSH levels, alongside iron deposition.

{"title":"Neurotransmitter imbalance, glutathione depletion and concomitant susceptibility increase in Parkinson’s disease","authors":"Su Yan , Bingfang Duan , Yuanhao Li , Hongquan Zhu , Zhaoqi Shi , Xiaoxiao Zhang , Yuanyuan Qin , Wenzhen Zhu","doi":"10.1016/j.nicl.2025.103740","DOIUrl":"10.1016/j.nicl.2025.103740","url":null,"abstract":"<div><h3>Background</h3><div>Emerging insights into the pathophysiology of Parkinson’s disease (PD) underscore the involvement of dysregulated neurotransmission, iron accumulation and oxidative stress. Nonetheless, the excitatory and inhibitory neurometabolites, the antioxidant glutathione (GSH), and magnetic susceptibility are seldom studied together in the clinical PD literature.</div></div><div><h3>Methods</h3><div>We acquired MEGA-PRESS and multi-echo gradient echo sequences from 60 PD patients and 47 healthy controls (HCs). Magnetic resonance spectroscopy voxels were respectively positioned in the midbrain to quantify neurotransmitter including γ-aminobutyric acid (GABA) and glutamate plus glutamine, and in the left striatum to estimate GSH levels. Group differences in metabolite levels normalized to total creatine (Cr) and their clinical relevance were determined. Furthermore, relationships among GSH levels, neurotransmitter estimates and susceptibility values were explored in both PD patients and HCs.</div></div><div><h3>Results</h3><div>PD patients exhibited reduced midbrain GABA levels (P = 0.034, P<sub>FDR</sub> = 0.136), diminished GSH in the left striatum (P = 0.032, P<sub>FDR</sub> = 0.096), and increased susceptibility values in the substantia nigra (P<sub>FDR</sub> < 0.001). Mesencephalic choline levels were correlated with the severity of rapid eye movement sleep behavior disorders symptoms, whereas striatal N-acetylaspartate levels were linked to Hoehn-Yahr stage and motor symptom severity. Notably, the disruption of associations between striatal GSH levels and susceptibility values in globus pallidus, as well as midbrain GABA levels, were evident in PD.</div></div><div><h3>Conclusions</h3><div>These findings offer compelling evidence for metabolic dysregulation in PD, characterized by a concomitant reduction in GABA and GSH levels, alongside iron deposition.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103740"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076045","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}

引用次数: 0

Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry 利用T1w/ t2w比值和形态计量学的皮质特征探测自闭症和ADHD亚型。

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103736

Linn B. Norbom , Bilal Syed , Rikka Kjelkenes , Jaroslav Rokicki , Antoine Beauchamp , Stener Nerland , Azadeh Kushki , Evdokia Anagnostou , Paul Arnold , Jennifer Crosbie , Elizabeth Kelley , Robert Nicolson , Russell Schachar , Margot J. Taylor , Lars T. Westlye , Christian K. Tamnes , Jason P. Lerch

Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are neurodevelopmental conditions that share genetic etiology and frequently co-occur. Given this comorbidity and well-established clinical heterogeneity, identifying individuals with similar brain signatures may be valuable for predicting clinical outcomes and tailoring treatment strategies. Cortical myelination is a prominent developmental process, and its disruption is a candidate mechanism for both disorders. Yet, no studies have attempted to identify subtypes using T1w/T2w-ratio, a magnetic resonance imaging (MRI) based proxy for intracortical myelin. Moreover, cortical variability arises from numerous biological pathways, and multimodal approaches can integrate cortical metrics into a single network. We analyzed data from 310 individuals aged 2.6–23.6 years, obtained from the Province of Ontario Neurodevelopmental (POND) Network consisting of individuals diagnosed with ASD (n = 136), ADHD (n = 100), and typically developing (TD) individuals (n = 74). We first tested for differences in T1w/T2w-ratio between diagnostic categories and controls. We then performed unimodal (T1w/T2w-ratio) and multimodal (T1w/T2w-ratio, cortical thickness, and surface area) spectral clustering to identify diagnostic-blind subgroups. Linear models revealed no statistically significant case-control differences in T1w/T2w-ratio. Unimodal clustering mostly isolated single individual- or minority clusters, driven by image quality and intensity outliers. Multimodal clustering suggested three distinct subgroups, which transcended diagnostic boundaries, showing separate cortical patterns but similar clinical and cognitive profiles. T1w/T2w-ratio features were the most relevant for demarcation, followed by surface area. While our analysis revealed no significant case-control differences, multimodal clustering incorporating the T1w/T2w-ratio among cortical features holds promise for identifying biologically similar subsets of individuals with neurodevelopmental conditions.

自闭症谱系障碍（ASD）和注意力缺陷/多动障碍（ADHD）是两种具有共同遗传病因且经常同时发生的神经发育疾病。考虑到这种合并症和公认的临床异质性，识别具有相似大脑特征的个体可能对预测临床结果和定制治疗策略有价值。皮质髓鞘形成是一个突出的发育过程，其破坏是这两种疾病的候选机制。然而，没有研究试图使用T1w/ t2w比率（一种基于磁共振成像（MRI）的皮质内髓磷脂替代指标）来识别亚型。此外，皮质变异性源于许多生物学途径，多模式方法可以将皮质指标整合到一个单一的网络中。我们分析了310名年龄在2.6-23.6岁之间的个体的数据，这些数据来自安大略省神经发育（POND）网络，由诊断为ASD （n = 136）、ADHD （n = 100）和典型发育（TD）个体（n = 74）组成。我们首先测试了诊断类别和对照组之间T1w/ t2w比率的差异。然后，我们进行单峰（T1w/ t2w比）和多峰（T1w/ t2w比、皮质厚度和表面积）光谱聚类来识别诊断盲亚群。线性模型显示T1w/ t2w比的病例-对照差异无统计学意义。单峰聚类主要是孤立的单个或少数簇，由图像质量和强度异常值驱动。多模态聚类表明了三个不同的亚群，它们超越了诊断界限，表现出不同的皮层模式，但相似的临床和认知特征。T1w/ t2w比值特征与划分最相关，其次是表面积。虽然我们的分析显示没有显著的病例对照差异，但结合皮层特征之间的T1w/ t2w比率的多模态聚类有望识别具有神经发育条件的个体的生物学相似亚群。

{"title":"Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry","authors":"Linn B. Norbom , Bilal Syed , Rikka Kjelkenes , Jaroslav Rokicki , Antoine Beauchamp , Stener Nerland , Azadeh Kushki , Evdokia Anagnostou , Paul Arnold , Jennifer Crosbie , Elizabeth Kelley , Robert Nicolson , Russell Schachar , Margot J. Taylor , Lars T. Westlye , Christian K. Tamnes , Jason P. Lerch","doi":"10.1016/j.nicl.2025.103736","DOIUrl":"10.1016/j.nicl.2025.103736","url":null,"abstract":"<div><div>Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are neurodevelopmental conditions that share genetic etiology and frequently co-occur. Given this comorbidity and well-established clinical heterogeneity, identifying individuals with similar brain signatures may be valuable for predicting clinical outcomes and tailoring treatment strategies. Cortical myelination is a prominent developmental process, and its disruption is a candidate mechanism for both disorders. Yet, no studies have attempted to identify subtypes using T1w/T2w-ratio, a magnetic resonance imaging (MRI) based proxy for intracortical myelin. Moreover, cortical variability arises from numerous biological pathways, and multimodal approaches can integrate cortical metrics into a single network. We analyzed data from 310 individuals aged 2.6–23.6 years, obtained from the Province of Ontario Neurodevelopmental (POND) Network consisting of individuals diagnosed with ASD (n = 136), ADHD (n = 100), and typically developing (TD) individuals (n = 74). We first tested for differences in T1w/T2w-ratio between diagnostic categories and controls. We then performed unimodal (T1w/T2w-ratio) and multimodal (T1w/T2w-ratio, cortical thickness, and surface area) spectral clustering to identify diagnostic-blind subgroups. Linear models revealed no statistically significant case-control differences in T1w/T2w-ratio. Unimodal clustering mostly isolated single individual- or minority clusters, driven by image quality and intensity outliers. Multimodal clustering suggested three distinct subgroups, which transcended diagnostic boundaries, showing separate cortical patterns but similar clinical and cognitive profiles. T1w/T2w-ratio features were the most relevant for demarcation, followed by surface area. While our analysis revealed no significant case-control differences, multimodal clustering incorporating the T1w/T2w-ratio among cortical features holds promise for identifying biologically similar subsets of individuals with neurodevelopmental conditions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103736"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016495","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}

引用次数: 0

Altered neural signalling during reward anticipation in children and early adolescents with high psychotic-like experiences

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103756

Pritha Sen , Franziska Knolle

Background

Schizophrenia is associated with abnormalities in neurodevelopmental processes. Furthermore, dysfunctional neural circuits involved in reward processing may be linked to the development of symptoms in schizophrenia and are predictive of long-term functional outcome. It is however unknown whether neural signatures of reward anticipation are detectable in children with high psychotic-like experiences.

Methods

Using data from the ABCD study 4.1, we defined a healthy control (N = 50) and a high psychotic-like experience (N = 50) group with a Prodromal Psychosis Syndrome (PPS) score > 3 and distress score > 6 at baseline (9–10 years) and 2nd year follow-up (11–12 years). While undergoing functional MR-imaging, all children completed the Monetary Incentive Delay task. Using the preprocessed ABCD-data, we explored whether behaviour and brain activations for reward and loss anticipation in areas underlying reward processing differed between groups and time-points. Furthermore, we investigated whether those brain activations that showed differences between the groups were predictive of later PPS scores. Additionally, we also employed computational modelling to assess response vigour.

Results

While response times did not differ, the computational model revealed that response vigour for salient cues was significantly lower in the high PLEs compared to controls at baseline. We also found that children with high PLEs demonstrated lower activation during reward anticipation in the anterior insula at the baseline time-point; the nucleus accumbens, the putamen, the dorsolateral (dlPFC) and the ventral medial prefrontal cortex at the 2nd year follow-up, and in the caudate at both timepoints, compared to controls. Regression analysis revealed that deactivations in the left anterior insula and left dlPFC, was predictive of later PPS scores.

Conclusion

This study reveals that neural alterations during reward anticipation are detectable in children with high PLEs. These dysfunctions in neural activation patterns may serve as potential predictive biomarkers for psychosis.

{"title":"Altered neural signalling during reward anticipation in children and early adolescents with high psychotic-like experiences","authors":"Pritha Sen , Franziska Knolle","doi":"10.1016/j.nicl.2025.103756","DOIUrl":"10.1016/j.nicl.2025.103756","url":null,"abstract":"<div><h3>Background</h3><div>Schizophrenia is associated with abnormalities in neurodevelopmental processes. Furthermore, dysfunctional neural circuits involved in reward processing may be linked to the development of symptoms in schizophrenia and are predictive of long-term functional outcome. It is however unknown whether neural signatures of reward anticipation are detectable in children with high psychotic-like experiences.</div></div><div><h3>Methods</h3><div>Using data from the ABCD study 4.1, we defined a healthy control (N = 50) and a high psychotic-like experience (N = 50) group with a Prodromal Psychosis Syndrome (PPS) score > 3 and distress score > 6 at baseline (9–10 years) and 2nd year follow-up (11–12 years). While undergoing functional MR-imaging, all children completed the Monetary Incentive Delay task. Using the preprocessed ABCD-data, we explored whether behaviour and brain activations for reward and loss anticipation in areas underlying reward processing differed between groups and time-points. Furthermore, we investigated whether those brain activations that showed differences between the groups were predictive of later PPS scores. Additionally, we also employed computational modelling to assess response vigour.</div></div><div><h3>Results</h3><div>While response times did not differ, the computational model revealed that response vigour for salient cues was significantly lower in the high PLEs compared to controls at baseline. We also found that children with high PLEs demonstrated lower activation during reward anticipation in the anterior insula at the baseline time-point; the nucleus accumbens, the putamen, the dorsolateral (dlPFC) and the ventral medial prefrontal cortex at the 2nd year follow-up, and in the caudate at both timepoints, compared to controls. Regression analysis revealed that deactivations in the left anterior insula and left dlPFC, was predictive of later PPS scores.</div></div><div><h3>Conclusion</h3><div>This study reveals that neural alterations during reward anticipation are detectable in children with high PLEs. These dysfunctions in neural activation patterns may serve as potential predictive biomarkers for psychosis.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103756"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143444918","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}

引用次数: 0

Structural brain alterations and changes in resting-state functional connectivity in patients with trigeminal neuralgia: A meta-analysis

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103759

Lapo Nardoni , Maria Giulia Tullo , Giulia Di Stefano , Marco Fiorelli , Francesca Caramia

Background

Trigeminal neuralgia (TN) is a chronic pain condition characterized by severe, electric shock-like pain in one or more branches of the trigeminal nerve. Even though neuroimaging studies have highlighted alterations in brain cortical and subcortical structure and functional connectivity, findings are heterogeneous.

Objective

This meta-analysis aims to synthesize structural and functional brain changes in TN patients through a coordinate-based meta-analysis using GingerALE.

Methods

A search on PubMed, Google Scholar, and Scopus was conducted to select pertinent publications on structural magnetic resonance imaging (MRI) (brain volume and cortical thickness) and resting-state functional MRI in TN patients that were published before January 2024. Activation likelihood estimation (ALE) was used to identify consistent brain alteration patterns across studies.

Results

A total of 1436 papers were identified and, after review based on the predefined inclusion and exclusion criteria, 13 papers (538 patients) discussing structural brain changes and 11 studies (368 patients) discussing resting-state functional connectivity studies were selected for inclusion. Structural and functional alterations in TN were observed in the left thalamus.

Conclusions

This meta-analysis provides a comprehensive examination of structural and functional abnormalities in TN patients, highlighting consistent alterations in left thalamus. Future research should identify brain structural and functional changes specific for TN as compared to other forms of chronic pain, explore longitudinal changes correlated to clinical parameters, and perform intra-population studies to address lateralization, to enhance diagnostic and therapeutic outcomes for TN patients.

{"title":"Structural brain alterations and changes in resting-state functional connectivity in patients with trigeminal neuralgia: A meta-analysis","authors":"Lapo Nardoni , Maria Giulia Tullo , Giulia Di Stefano , Marco Fiorelli , Francesca Caramia","doi":"10.1016/j.nicl.2025.103759","DOIUrl":"10.1016/j.nicl.2025.103759","url":null,"abstract":"<div><h3>Background</h3><div>Trigeminal neuralgia (TN) is a chronic pain condition characterized by severe, electric shock-like pain in one or more branches of the trigeminal nerve. Even though neuroimaging studies have highlighted alterations in brain cortical and subcortical structure and functional connectivity, findings are heterogeneous.</div></div><div><h3>Objective</h3><div>This <em>meta</em>-analysis aims to synthesize structural and functional brain changes in TN patients through a coordinate-based <em>meta</em>-analysis using GingerALE.</div></div><div><h3>Methods</h3><div>A search on PubMed, Google Scholar, and Scopus was conducted to select pertinent publications on structural magnetic resonance imaging (MRI) (brain volume and cortical thickness) and resting-state functional MRI in TN patients that were published before January 2024. Activation likelihood estimation (ALE) was used to identify consistent brain alteration patterns across studies.</div></div><div><h3>Results</h3><div>A total of 1436 papers were identified and, after review based on the predefined inclusion and exclusion criteria, 13 papers (538 patients) discussing structural brain changes and 11 studies (368 patients) discussing resting-state functional connectivity studies were selected for inclusion. Structural and functional alterations in TN were observed in the left thalamus.</div></div><div><h3>Conclusions</h3><div>This <em>meta</em>-analysis provides a comprehensive examination of structural and functional abnormalities in TN patients, highlighting consistent alterations in left thalamus. Future research should identify brain structural and functional changes specific for TN as compared to other forms of chronic pain, explore longitudinal changes correlated to clinical parameters, and perform intra-population studies to address lateralization, to enhance diagnostic and therapeutic outcomes for TN patients.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103759"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143610666","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}

引用次数: 0

A practical overview of the use of amyloid-PET Centiloid values in clinical trials and research

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103765

Leonardo Iaccarino , Samantha C. Burnham , Ilke Tunali , Jian Wang , Michael Navitsky , Anupa K. Arora , Michael J. Pontecorvo

The density of brain amyloid-beta neuritic plaque accumulation, a marker of Alzheimer’s disease (AD), can be visualized and quantified using amyloid-positron emission tomography (PET). Amyloid-PET data can be obtained using different tracers and methodologies; therefore, comparison across studies can be difficult. The introduction of Centiloids in 2015 allowed for the transformation of amyloid-PET quantitative data to a common scale, enhancing comparability across studies and potentially enabling pooled analysis. Since then, Centiloid values have been used increasingly in research and clinical trials for multiple purposes, being tested and validated with a variety of clinical, biomarker and pathological standards of truth. In clinical trials, Centiloid values have been used for patient selection, to confirm the presence of AD pathology, as well as for treatment monitoring, especially in trials of disease-modifying treatments such as amyloid-targeting therapies. Building on their widespread adoption, Centiloid values are increasingly being integrated into commercially available software solutions for quantifying amyloid-PET, paving the way for real-world applications at the community level. This article addresses frequently asked questions about Centiloid definition, implementation, interpretation, and caveats, and also summarizes the available literature on published thresholds, ultimately supporting wider access and informed use of Centiloid values in Alzheimer’s disease research.

{"title":"A practical overview of the use of amyloid-PET Centiloid values in clinical trials and research","authors":"Leonardo Iaccarino , Samantha C. Burnham , Ilke Tunali , Jian Wang , Michael Navitsky , Anupa K. Arora , Michael J. Pontecorvo","doi":"10.1016/j.nicl.2025.103765","DOIUrl":"10.1016/j.nicl.2025.103765","url":null,"abstract":"<div><div>The density of brain amyloid-beta neuritic plaque accumulation, a marker of Alzheimer’s disease (AD), can be visualized and quantified using amyloid-positron emission tomography (PET). Amyloid-PET data can be obtained using different tracers and methodologies; therefore, comparison across studies can be difficult. The introduction of Centiloids in 2015 allowed for the transformation of amyloid-PET quantitative data to a common scale, enhancing comparability across studies and potentially enabling pooled analysis. Since then, Centiloid values have been used increasingly in research and clinical trials for multiple purposes, being tested and validated with a variety of clinical, biomarker and pathological standards of truth. In clinical trials, Centiloid values have been used for patient selection, to confirm the presence of AD pathology, as well as for treatment monitoring, especially in trials of disease-modifying treatments such as amyloid-targeting therapies. Building on their widespread adoption, Centiloid values are increasingly being integrated into commercially available software solutions for quantifying amyloid-PET, paving the way for real-world applications at the community level. This article addresses frequently asked questions about Centiloid definition, implementation, interpretation, and caveats, and also summarizes the available literature on published thresholds, ultimately supporting wider access and informed use of Centiloid values in Alzheimer’s disease research.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103765"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642751","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}

引用次数: 0

Increased glymphatic system activity and thalamic vulnerability in drug-naive somatic depression: Evidenced by DTI-ALPS index

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103769

Zipeng Deng , Wei Wang , Zhaowen Nie , Simeng Ma , Enqi Zhou , Xinhui Xie , Qian Gong , Lihua Yao , Lihong Bu , Lijun Kang , Zhongchun Liu

Major depressive disorder (MDD) is a significant contributor to global disease burden, with somatic symptoms frequently complicating its diagnosis and treatment. Recent advances in neuroimaging have provided insights into the neurobiological underpinnings of MDD, yet the role of the glymphatic system remains largely unexplored. This study aimed to assess glymphatic function in drug-naïve somatic depression (SMD) patients using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index. A total of 272 participants, including somatic depression patients (SMD), pure depression (PMD), and healthy controls (HC), were enrolled. We collected T1-weighted (T1w) and DTI (diffusion tensor image) scans and clinical data of all participants. The DTI-ALPS indices were calculated and compared among three groups. Gray matter regions associated with the DTI-ALPS index were identified by voxel-based morphometry analysis (VBM), revealing a cluster located in the thalamus. Then, we performed partial correlation analyses to further investigate the relationships between the DTI-ALPS index, thalamic volume, and clinical data. The DTI-ALPS index was significantly higher in the MDD group compared to the HC group, particularly in the SMD group. Furthermore, a significant positive correlation was observed between the DTI-ALPS index and thalamic volume, with lower DTI-ALPS values associated with reduced thalamic volumes, especially in the SMD group. Our findings suggest heightened glymphatic activity in MDD patients, especially SMD patients, and a potential link between glymphatic function and thalamic vulnerability. Therefore, the thalamus’ vulnerability to glymphatic system function may play a role in the pathophysiology of depression, particularly somatic depression, suggesting that both the glymphatic system and the thalamus could serve as potential therapeutic or intervention targets for future treatments.

重度抑郁障碍（MDD）是造成全球疾病负担的一个重要因素，其躯体症状经常使诊断和治疗复杂化。神经影像学的最新进展使人们对重度抑郁症的神经生物学基础有了更深入的了解，然而，人们在很大程度上仍未探究肾上腺系统的作用。本研究旨在利用沿血管周围空间的弥散张量图像分析（DTI-ALPS）指数评估药物治疗无效的躯体抑郁症（SMD）患者的肾上腺功能。我们共招募了 272 名参与者，包括躯体抑郁症患者（SMD）、单纯抑郁症患者（PMD）和健康对照组（HC）。我们收集了所有参与者的 T1 加权（T1w）和 DTI（弥散张量图像）扫描以及临床数据。我们计算了 DTI-ALPS 指数，并在三组之间进行了比较。通过体素形态计量分析（VBM）确定了与 DTI-ALPS 指数相关的灰质区域，发现了一个位于丘脑的集群。然后，我们进行了部分相关分析，进一步研究了DTI-ALPS指数、丘脑体积和临床数据之间的关系。MDD 组的 DTI-ALPS 指数明显高于 HC 组，尤其是在 SMD 组。此外，我们还观察到 DTI-ALPS 指数与丘脑体积之间存在明显的正相关性，DTI-ALPS 值越低，丘脑体积越小，尤其是在 SMD 组。我们的研究结果表明，MDD 患者（尤其是 SMD 患者）的肾上腺活动增强，肾上腺功能与丘脑的脆弱性之间存在潜在联系。因此，丘脑对 glymphatic 系统功能的脆弱性可能在抑郁症（尤其是躯体抑郁症）的病理生理学中发挥作用，这表明 glymphatic 系统和丘脑都可以作为未来治疗的潜在治疗或干预目标。

{"title":"Increased glymphatic system activity and thalamic vulnerability in drug-naive somatic depression: Evidenced by DTI-ALPS index","authors":"Zipeng Deng , Wei Wang , Zhaowen Nie , Simeng Ma , Enqi Zhou , Xinhui Xie , Qian Gong , Lihua Yao , Lihong Bu , Lijun Kang , Zhongchun Liu","doi":"10.1016/j.nicl.2025.103769","DOIUrl":"10.1016/j.nicl.2025.103769","url":null,"abstract":"<div><div>Major depressive disorder (MDD) is a significant contributor to global disease burden, with somatic symptoms frequently complicating its diagnosis and treatment. Recent advances in neuroimaging have provided insights into the neurobiological underpinnings of MDD, yet the role of the glymphatic system remains largely unexplored. This study aimed to assess glymphatic function in drug-naïve somatic depression (SMD) patients using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index. A total of 272 participants, including somatic depression patients (SMD), pure depression (PMD), and healthy controls (HC), were enrolled. We collected T1-weighted (T1w) and DTI (diffusion tensor image) scans and clinical data of all participants. The DTI-ALPS indices were calculated and compared among three groups. Gray matter regions associated with the DTI-ALPS index were identified by voxel-based morphometry analysis (VBM), revealing a cluster located in the thalamus. Then, we performed partial correlation analyses to further investigate the relationships between the DTI-ALPS index, thalamic volume, and clinical data. The DTI-ALPS index was significantly higher in the MDD group compared to the HC group, particularly in the SMD group. Furthermore, a significant positive correlation was observed between the DTI-ALPS index and thalamic volume, with lower DTI-ALPS values associated with reduced thalamic volumes, especially in the SMD group. Our findings suggest heightened glymphatic activity in MDD patients, especially SMD patients, and a potential link between glymphatic function and thalamic vulnerability. Therefore, the thalamus’ vulnerability to glymphatic system function may play a role in the pathophysiology of depression, particularly somatic depression, suggesting that both the glymphatic system and the thalamus could serve as potential therapeutic or intervention targets for future treatments.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103769"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683528","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}

引用次数: 0

Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103754

Catharina Zich , Nick S. Ward , Nina Forss , Sven Bestmann , Andrew J. Quinn , Eeva Karhunen , Kristina Laaksonen

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.

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.

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.

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.

{"title":"Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery","authors":"Catharina Zich , Nick S. Ward , Nina Forss , Sven Bestmann , Andrew J. Quinn , Eeva Karhunen , 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}

引用次数: 0

Corrigendum to “Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis” [Neuroimage: Clin. 42 (2024) 103598] 多发性硬化症的定量易感性图谱：系统综述和荟萃分析" [Neuroimage: Clin. 42 (2024) 103598]。

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2024.103693

Cui Ci Voon , Tun Wiltgen , Benedikt Wiestler , Sarah Schlaeger , Mark Mühlau

引用次数: 0

Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2025-01-01 DOI: 10.1016/j.nicl.2025.103764

Yinping Lu , Luyao Wang , Toshiya Murai , Jinglong Wu , Dong Liang , Zhilin Zhang

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.

{"title":"Detection of structural-functional coupling abnormalities using multimodal brain networks in Alzheimer’s disease: A comparison of three computational models","authors":"Yinping Lu , Luyao Wang , Toshiya Murai , Jinglong Wu , Dong Liang , 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}

引用次数: 0