Neuroimage-Clinical最新文献

英文中文

Bridging mental health, cognition and the brain in mild traumatic brain injury: A multilayer network analysis of the TRACK-TBI study 在轻度创伤性脑损伤中架起心理健康、认知和大脑的桥梁：TRACK-TBI研究的多层网络分析

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2026-01-01 DOI: 10.1016/j.nicl.2026.103957

Juan F. Domínguez D. , Mervyn Singh , Lyndon Firman-Sadler , Jade Guarnera , Ivan L. Simpson-Kent , Phoebe Imms , Andrei Irimia , Karen Caeyenberghs , the TRACK-TBI Investigators

Background

People with mild traumatic brain injury (mTBI) suffer from several mental health symptoms (e.g., anxiety, depressive symptoms) and cognitive deficits (e.g., attentional deficits, slowed processing speed). However, symptoms in TBI are largely investigated in isolation, using univariate approaches, ignoring interactions between symptoms and the underlying large-scale brain networks. We constructed the first multilayer network in mTBI to examine relationships between networks of cognition, mental health and structural brain measures and to identify key variables bridging relationships across these networks.

Methods

Chronic phase cross-sectional data (6-month follow-up) from 457 mTBI participants was extracted from the TRACK-TBI Longitudinal study. We selected four variables from self-report mental health questionnaires (affective layer), eight cognitive test scores from the NIH toolbox (cognitive layer), and gray matter volumes from eight brain regions of the central executive and salience networks from anatomical MRI scans (brain layer). We used a multilayer network approach to examine the relationships (edges) between all variables (nodes) across layers. We then used the bridge strength centrality metric to identify nodes that ‘bridge’ the affective, cognitive, and brain layers.

Results

In this sample of mTBI participants, across all affective and cognitive layer nodes, only impairments in insomnia were noted. Multilayer network analysis revealed insomnia severity, immediate verbal memory, somatisation and processing speed nodes exceeded an a priori 80th percentile threshold on the bridge strength scores and may therefore be regarded as key nodes potentially bridging relationships across affective, cognitive and brain layers.

Conclusions

The bridging nodes identified in our multilayer network analyses may suggest targets for future studies to develop more customized, efficient, and efficacious treatments to alleviate mental health symptoms and cognitive deficits in mTBI.

背景：轻度创伤性脑损伤（mTBI）患者患有多种心理健康症状（如焦虑、抑郁症状）和认知缺陷（如注意力缺陷、处理速度减慢）。然而，创伤性脑损伤的症状在很大程度上是孤立的，使用单变量方法，忽略了症状和潜在的大规模脑网络之间的相互作用。我们在mTBI中构建了第一个多层网络，以检查认知、心理健康和结构脑测量网络之间的关系，并确定连接这些网络之间关系的关键变量。方法：从TRACK-TBI纵向研究中提取457名mTBI参与者的慢性期横断面数据（6个月随访）。我们从自我报告心理健康问卷中选择了4个变量（情感层），从NIH工具箱中选择了8个认知测试分数（认知层），从解剖MRI扫描中选择了中央执行和显著性网络的8个大脑区域的灰质体积（脑层）。我们使用多层网络方法来检查跨层所有变量（节点）之间的关系（边）。然后，我们使用桥梁强度中心性度量来识别“连接”情感、认知和大脑层的节点。结果：在这个mTBI参与者的样本中，在所有情感和认知层节点中，只有失眠的损害被注意到。多层网络分析显示，失眠严重程度、即时言语记忆、躯体化和处理速度节点在桥梁强度评分上超过了先验的第80个百分位数阈值，因此可能被视为潜在的跨越情感、认知和大脑层的桥梁关系的关键节点。结论：在我们的多层网络分析中发现的桥接节点可能为未来的研究提供目标，以开发更定制、更高效和更有效的治疗方法，以减轻mTBI的心理健康症状和认知缺陷。

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引用次数: 0

Towards precision functional brain network mapping in Parkinson’s disease 帕金森氏病脑功能网络精确定位的研究。

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2026-01-01 DOI: 10.1016/j.nicl.2025.103935

Jacob Chernicky , Ally Dworetsky , Sarah Grossen , Emma Carr , Abdulmunaim Eid , Meghan C. Campbell , Caterina Gratton

Background

Parkinson’s disease (PD) is a complex neurodegenerative condition that leads to widespread disruption of large-scale brain networks and is further complicated by substantial individual variability in symptomology, progression rates, and treatment response. Consequently, the investigation of individual differences in networks measured via resting state functional connectivity (RSFC) may provide insight. However, most RSFC studies are unable to identify interindividual differences due to poor reliability and group average network definitions. “Precision” RSFC addresses these shortcomings through extended data collection, strict denoising, and individual network definition, but remains untested in PD.

Objectives

To evaluate the feasibility and reliability of precision RSFC studies in PD.

Methods

We collected > 100 min of RSFC data from 20 PD and 10 healthy control participants. We evaluated the level of motion, reliability and stability of RSFC measures in each participant, as well as compared to a conventional 5 min of RSFC data. These measures were benchmarked against HC to evaluate comparability. In addition, we created individualized brain network measures in PD participants to establish feasibility in this population.

Results

Using precision RSFC methods, the PD group produced reliable and stable measures of brain networks that were comparable in quality to healthy controls and substantially exceeded those derived from conventional approaches (whole-brain reliability: 5 min. r = 0.60 ± 0.06, 40 min. r = 0.88 ± 0.04; within-person stability: 5 min. r = 0.40 ± 0.08, 25 min. r = 0.68 ± 0.07; ps < 0.001). Individualized network maps in people with PD captured variation both from group-averaged templates and between individuals, including within motor-related networks.

Conclusion

Precision RSFC is feasible and reliable in individuals with PD. This approach holds promise for advancing personalized diagnostics and identifying brain-based biomarkers underlying clinical variability in PD.

背景：帕金森病（PD）是一种复杂的神经退行性疾病，可导致大范围脑网络的广泛破坏，并因症状、进展率和治疗反应的个体差异而进一步复杂化。因此，通过静息状态功能连接（RSFC）测量的网络个体差异的调查可能提供见解。然而，由于可靠性差和群体平均网络定义，大多数RSFC研究无法识别个体间差异。“精确”RSFC通过扩展数据收集、严格去噪和单独的网络定义来解决这些缺点，但在PD中尚未经过测试。目的：评价精确RSFC研究PD的可行性和可靠性。方法：收集20名PD患者和10名健康对照者的bbb100 min RSFC数据。我们评估了每位参与者的运动水平、RSFC测量的可靠性和稳定性，并与常规的5分钟RSFC数据进行了比较。这些措施以HC为基准来评估可比性。此外，我们在PD参与者中创建了个性化的脑网络测量，以确定在该人群中的可行性。结果：使用精确RSFC方法，PD组产生了可靠和稳定的脑网络测量，其质量与健康对照组相当，大大超过了传统方法(全脑可靠性：5分钟r = 0.60±0.06,40分钟r = 0.88±0.04；人内稳定性：5分钟r = 0.40±0.08,25分钟r = 0.68±0.07；ps结论：精确RSFC在PD患者中是可行和可靠的。这种方法有望推进个性化诊断和识别PD临床变异性的基于大脑的生物标志物。

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引用次数: 0

Neuroimaging correlates of symptom burden and functional recovery following mild traumatic brain injury: A systematic review 轻度外伤性脑损伤后症状负担和功能恢复的神经影像学相关性：系统综述。

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2026-01-01 DOI: 10.1016/j.nicl.2025.103910

Joshua P. McGeown , Mangor Pedersen , Remika Mito , Alice Theadom , Jerome J. Maller , Paul Condron , Samantha J. Holdsworth

Background

Mild traumatic brain injury (mTBI) represents 95% of all traumatic brain injuries. Despite being classified as “mild,” mTBI can lead to persistent symptoms that impact quality of life. Diagnostic and management strategies rely heavily on subjective symptom reporting due to a lack of validated biomarkers. Identifying neuroimaging biomarkers to characterise the pathophysiological features underlying symptom burden and poor recovery is critical for improving mTBI management.

Objective

To synthesise evidence on cross-sectional, longitudinal, and prognostic links between Magnetic Resonance Imaging (MRI) features and mTBI symptom burden and functional recovery.

Methods

The review followed PRISMA guidelines. Systematic searches of MEDLINE, SCOPUS, and Cochrane Library identified mTBI studies with acute MRI data, measures of symptom burden or functional recovery, and at least one follow-up clinical timepoint, covering publications to July 18, 2025. Risk of bias was evaluated using the Quality in Prognostic Studies tool, and findings were synthesised narratively.

Results

Sixty-two of 7,232 articles were included. The review identified heterogeneous evidence across MRI modalities. Structural MRI findings showed limited correlation with clinical outcomes, while changes in white matter and functional connectivity were more strongly associated with symptom burden and recovery. Disruptions of integrative regions and association pathways such as the thalamus, superior longitudinal fasciculus, and cingulate cortex were linked to worse symptom burden and recovery outcomes.

Conclusions

Acute MRI, when contextualised with clinical data, helps delineate correlates of mTBI symptom burden and functional recovery. To strengthen inference, future neuroimaging studies should prespecify and report symptom burden and functional recovery as core endpoints.

背景：轻度创伤性脑损伤（mTBI）占所有创伤性脑损伤的95%。尽管mTBI被归类为“轻度”，但它会导致持续的症状，影响生活质量。由于缺乏有效的生物标志物，诊断和管理策略严重依赖主观症状报告。识别神经成像生物标志物，以表征症状负担和恢复不良的病理生理特征，对于改善mTBI管理至关重要。目的：综合磁共振成像（MRI）特征与mTBI症状负担和功能恢复之间的横断面、纵向和预后联系的证据。方法：按照PRISMA指南进行综述。对MEDLINE、SCOPUS和Cochrane图书馆的系统检索发现，mTBI研究具有急性MRI数据，症状负担或功能恢复的测量，以及至少一个随访临床时间点，涵盖出版物至2025年7月18日。使用预后研究质量工具评估偏倚风险，并对研究结果进行叙述性综合。结果：共纳入7232篇文献62篇。该综述确定了不同MRI模式的异质性证据。结构MRI结果显示与临床结果的相关性有限，而白质和功能连通性的变化与症状负担和恢复的相关性更强。丘脑、上纵束和扣带皮层等综合区域和关联通路的破坏与更严重的症状负担和恢复结果有关。结论：急性MRI与临床数据相结合，有助于描述mTBI症状负担和功能恢复的相关性。为了加强推理，未来的神经影像学研究应预先指定和报告症状负担和功能恢复作为核心终点。

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引用次数: 0

Structural brain alterations in anorexia nervosa: a global brain volume and anatomical likelihood estimation (ALE) meta-analysis combined with a functional decoding approach 神经性厌食症的脑结构改变：全球脑容量和解剖似然估计（ALE） meta分析结合功能解码方法

IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2026-01-01 DOI: 10.1016/j.nicl.2026.103950

Lara Keller , Leon D. Lotter , Claudia R. Eickhoff , Simon B. Eickhoff , Katharina Otten , Beate Herpertz-Dahlmann , Jochen Seitz

Substantial brain volume loss is well-documented during acute anorexia nervosa (AN); however, longitudinal outcomes are unclear. Our comprehensive meta-analysis investigated global and regional structural brain alterations in adult and adolescent individuals with AN by extracting reported brain volume scores and neuroimaging coordinates from the literature. Results showed significant global brain volume reductions in gray matter (GM), white matter (WM), and increases in cerebrospinal fluid (CSF) in acute AN (N = 1130 patients; N = 40 papers), gradually improving upon weight rehabilitation. However, even after 1.5 years of recovery, significantly lower global GM volume compared to healthy controls was found (N = 232 patients; N = 12 papers). Regarding potential regional changes, our search identified 35 eligible papers with neuroimaging coordinates for 412 foci as input for our anatomical likelihood estimation (ALE) analyses. The results revealed widespread reductions of GM volume and cortical thickness, but notably also identified consistently affected brain regions including the cingulate gyrus, precentral gyrus, and precuneus. Spatial colocalization analyses using the Neurosynth data base indicated brain areas associated with eating, food, threat, and reinforcement to be relatively preserved. The findings of our meta-analysis contribute to a better understanding of the underlying pathophysiology of AN, the time course and residuals of brain structural alterations during recovery and clinical implications potentially relevant for more-targeted treatment options.

在急性神经性厌食症（AN）期间，大量的脑容量损失是有充分证据的；然而，纵向结果尚不清楚。我们的综合荟萃分析通过从文献中提取报道的脑容量评分和神经成像坐标，调查了成人和青少年AN患者的整体和区域结构脑改变。结果显示，急性AN患者（N = 1130例；N = 40篇论文）脑灰质（GM）、白质（WM）整体脑容量显著减少，脑脊液（CSF）增加，体重康复后逐渐改善。然而，即使在恢复1.5年后，也发现与健康对照相比，全球转基因体积显着降低（N = 232例患者；N = 12篇论文）。关于潜在的区域变化，我们的搜索确定了35篇符合条件的论文，其中包含412个病灶的神经成像坐标，作为我们解剖似然估计（ALE）分析的输入。结果显示GM体积和皮质厚度广泛减少，但值得注意的是，也发现了持续受影响的大脑区域，包括扣带回、中央前回和楔前叶。使用Neurosynth数据库进行的空间共定位分析表明，与进食、食物、威胁和强化相关的大脑区域相对保留。我们的荟萃分析结果有助于更好地理解AN的潜在病理生理学，恢复期间大脑结构改变的时间过程和残余，以及可能与更有针对性的治疗方案相关的临床意义。

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IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2026-01-01

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IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

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IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

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IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

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IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

Pub Date : 2026-01-01

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IF 3.6 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical

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