Neuroimage-Clinical最新文献

{"title":"Data-driven analysis of whole-brain intrinsic connectivity in patients with chronic low back pain undergoing osteopathic manipulative treatment","authors":"Federica Tomaiuolo ,&nbsp;Francesco Cerritelli ,&nbsp;Stefano Delli Pizzi ,&nbsp;Carlo Sestieri ,&nbsp;Teresa Paolucci ,&nbsp;Piero Chiacchiaretta ,&nbsp;Stefano L. Sensi ,&nbsp;Antonio Ferretti","doi":"10.1016/j.nicl.2024.103659","DOIUrl":"10.1016/j.nicl.2024.103659","url":null,"abstract":"<div><h3>Background</h3><p>Chronic Low Back Pain (cLBP) poses a significant health challenge, leading to functional disability and reduced quality of life. Osteopathic Manipulative Treatment (OMT) is emerging as a therapeutic option for cLBP, but the brain mechanisms underlying its analgesic effect remain unclear.</p></div><div><h3>Materials and Methods</h3><p>Thirty cLBP patients were randomly exposed to either four weekly sessions of OMT (N=16) or Sham treatment (N=14). Resting-state Magnetic Resonance Imaging (rs-MRI) scans and pain perception questionnaires were collected before and after treatment. A voxel-wise, rs-fMRI data-driven analysis was conducted to identify changes in the intrinsic functional connectivity across the whole brain that were associated with the OMT. Spearman’s correlations were used to test for the association between changes in intrinsic connectivity and individual reports of pain perception.</p></div><div><h3>Results</h3><p>Compared to the Sham group, participants who received OMT showed significant alterations in the functional connectivity of several regions belonging to the pain matrix. Specifically, OMT was associated with decreased connectivity of a parietal cluster that includes the somatosensory cortex and an increase of connectivity of the right anterior insula and ventral and dorsal anterolateral prefrontal areas. Crucially, the change in connectivity strength observed in the ventral anterolateral prefrontal cortex, a putative region of the affective-reappraisive layer of the pain matrix, correlates with the reduction in pain perception caused by the OMT.</p></div><div><h3>Conclusions</h3><p>This study offers insights into the brain mechanisms underlying the analgesic effect of OMT. Our findings support a link between OMT-driven functional cortical architecture alterations and improved clinical outcomes.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000986/pdfft?md5=ea432c941acf92c2e08c9e42429ff4e4&pid=1-s2.0-S2213158224000986-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142086496","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":"Progressive brain structural abnormality in cerebral small vessel disease assessed with MR imaging by using causal network analysis","authors":"Ronghua Mu ,&nbsp;Xiaoyan Qin ,&nbsp;Wei Zheng ,&nbsp;Peng Yang ,&nbsp;Bingqin Huang ,&nbsp;Xiqi Zhu","doi":"10.1016/j.nicl.2024.103672","DOIUrl":"10.1016/j.nicl.2024.103672","url":null,"abstract":"<div><h3>Aims</h3><p>Cerebral small vessel disease (CSVD) is a complex condition characterized by a combination of microcirculation disorders and neurodegenerative processes, CSVD is associated with structural abnormalities in multiple brain regions. However, the progressive pattern of structural changes remains unknown.</p></div><div><h3>Methods</h3><p>In order to detail the progressive structural changes in CSVD patients according to the degree of cognitive impairment, we recruited 121 CSVD patients and 104 healthy controls (HCs). Voxel-based morphometry was employed to measure the gray matter volume (GMV) of each participant. According to the VICCCS-2 diagnostic criteria, patients were initially divided into three stage groups, then we investigated the GMV changes in each stage and their causal relationships using causal structure covariance network (CaSCN) analysis.</p></div><div><h3>Results</h3><p>Overall, patients with CSVD presented stage-specific GMV alterations compared with HCs. With the worsening of cognitive impairment, the decrease in gray matter volume starts from the right hippocampus and gradually spreads to the cortical-subcortical brain regions. Importantly, the right hippocampus in CSVD patients plays a driving role in the directional network and forms both positive and negative causal effect networks with cortical-subcortical brain regions.</p></div><div><h3>Conclusions</h3><p>This study reveals the significance of the right hippocampus as an early pathological area in CSVD patients and its causal impact on brain GMV changes with disease progression, shedding light on structural brain damage hierarchy and compensatory mechanisms.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221315822400113X/pdfft?md5=120bb78dc1595894fb23ae52088841ee&pid=1-s2.0-S221315822400113X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232084","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":"Resting state connectivity biomarkers of seizure freedom after epilepsy surgery","authors":"Eva Martinez-Lizana,&nbsp;Armin Brandt,&nbsp;Matthias Dümpelmann,&nbsp;Andreas Schulze-Bonhage","doi":"10.1016/j.nicl.2024.103673","DOIUrl":"10.1016/j.nicl.2024.103673","url":null,"abstract":"<div><p>Alterations in brain networks may cause the lowering of the seizure threshold and hypersynchronization that underlie the recurrence of unprovoked seizures in epilepsy. The aim of this work is to estimate functional network characteristics, which may help predicting outcome of epilepsy surgery.</p><p>Twenty patients were studied (11 females, 9 males, mean age 33 years) with scalp-recorded HD-EEG in resting state (eyes closed, no interictal discharges) before intracranial evaluation, which allowed the precise determination of the epileptogenic zone. Dipole source time courses in the brain were estimated using Weighted Minimum Norm Estimate based on HD-EEG signals. Information inflow and outflow of atlas-based brain regions were computed using partial directed connectivity. A set of graph measures for pairwise connections in standard EEG frequency bands was calculated.</p><p>After epilepsy surgery 10 patients were seizure-free (Engel 1a) and 10 patients continued suffering from seizures (Engel outcome worse than 1a). Inflow of the regions containing the epileptogenic zone in the beta and delta frequency bands was significantly lower in patients who achieved seizure-freedom after surgery, compared with patients who continued to have seizures (p = 0.012, and p = 0.026, respectively). Average path length in the beta frequency band was significantly higher in patients who achieved seizure freedom (p = 0.012). In the delta frequency band, local efficiency and clustering coefficient were significantly higher in patients who achieved seizure freedom (0.033, 0.046).</p><p>In patients who achieved seizure freedom after surgery, the preoperative analysis of the epileptic network exhibited stronger separation of the region containing the seizure onset zone, with less inflow of information. In contrast, shorter paths within the epileptic network may facilitate hypersynchronous neuronal activity and thus the recurrence of seizures in non-seizure free patients. This study supports the hypothesis that epileptic network properties might help to define suitable candidates for epilepsy surgery.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224001141/pdfft?md5=d4c497901eca9022e5ea1105081c8835&pid=1-s2.0-S2213158224001141-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142242923","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":"Genetic and vascular risk factors for ischemic stroke and cortical morphometry in individuals without a history of stroke: A UK Biobank observational cohort study","authors":"Jiawei Liu ,&nbsp;Yingying Xie ,&nbsp;Feng Liu ,&nbsp;Wen Qin ,&nbsp;Chunshui Yu","doi":"10.1016/j.nicl.2024.103683","DOIUrl":"10.1016/j.nicl.2024.103683","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;Stroke risk factors may contribute to cognitive decline and dementia by altering brain tissue integrity. If their effects on brain are nonnegligible, the target regions for stroke rehabilitation with brain stimulation identified by cross-sectional case-control studies may be biased due to the pre-existing brain differences caused by these risk factors. Here, we investigated the effects of stroke risk factors on cortical thickness (CT) and surface area (SA) in individuals without a history of stroke.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;In this observational study, we used data from the UK Biobank cohort to explore the effects of polygenic risk score for ischemic stroke (PRS&lt;sub&gt;IS&lt;/sub&gt;), systolic blood pressure (SBP), diastolic blood pressure (DBP), glycated hemoglobin (HbA1c), triglycerides (TG), and low-density lipoprotein (LDL) on CT and SA of 62 cerebral regions. We excluded non-Caucasian participants and participants with missing data, unqualified brain images, or a history of stroke or any other brain diseases. We constructed a multivariate linear regression model for each phenotype to simultaneously test the effect of each factor and interaction between factors. The results were verified by sensitivity analyses of SDP or DBP input and adjusting for body-mass index, high-density lipoprotein cholesterol, or smoking and alcohol intake. By excluding participants with abnormal blood pressure, glucose, or lipid, we tested whether vascular risk factor within normal range also affected cortical phenotypes. To determine clinical relevance of our findings, we also investigated the effects of stroke risk factors and cortical phenotypes on cognitive decline assessed by fluid intelligence score (FIQ) and the mediation of cortical phenotype for the association between stroke risk factor and FIQ.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;The study consisted of 27 120 eligible participants. Stroke risk factors were associated with 16 CT and two SA phenotypes in both main and sensitivity analyses (all &lt;em&gt;p &lt;&lt;/em&gt; 0.0004, Bonferroni corrected), which could explain portions of variances (partial &lt;em&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/em&gt;, median 0.62 % [IQR 0.44–0.75 %] in main analyses) in these phenotypes. Among the 18 cortical phenotypes associated with stroke risk factors, we identified 26 specific predictor-phenotype associations (all &lt;em&gt;p&lt;/em&gt; &lt; 0.0026), including the positive associations between PRS&lt;sub&gt;IS&lt;/sub&gt; and SA and between HbA1c and CT, negative associations of SBP and TG with CT, and mixed associations of PRS&lt;sub&gt;IS&lt;/sub&gt; and DBP with CT. Neither LDL nor interactions between risk factors affected cortical phenotypes. Of the 16 associations between vascular risk factors and cortical phenotypes, ten were still significant after excluding participants with abnormal vascular risk assessments and diagnoses. Stroke risk factors were associated with FIQ in all analyses (&lt;em&gt;p &lt;&lt;/em&gt; 0.0004; partial &lt;em&gt;R&lt;sup&gt;2&lt;/sup&gt;&lt;/em&gt;, range 0.22","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427775","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":"Correspondence: Inaccurate reference leads to tripling of reported FND prevalence","authors":"","doi":"10.1016/j.nicl.2023.103537","DOIUrl":"10.1016/j.nicl.2023.103537","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158223002280/pdfft?md5=7be2ad3e60bc6d926b4da2173575b7e7&pid=1-s2.0-S2213158223002280-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139708577","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":"Brain network hierarchy reorganization in subthreshold depression","authors":"Xiaolong Yin ,&nbsp;Junchao Yang ,&nbsp;Qing Xiang ,&nbsp;Lixin Peng ,&nbsp;Jian Song ,&nbsp;Shengxiang Liang ,&nbsp;Jingsong Wu","doi":"10.1016/j.nicl.2024.103594","DOIUrl":"10.1016/j.nicl.2024.103594","url":null,"abstract":"<div><h3>Background</h3><p>Hierarchy is the organizing principle of human brain network. How network hierarchy changes in subthreshold depression (StD) is unclear. The aim of this study was to investigate the altered brain network hierarchy and its clinical significance in patients with StD.</p></div><div><h3>Methods</h3><p>A total of 43 patients with StD and 43 healthy controls matched for age, gender and years of education participated in this study. Alterations in the hierarchy of StD brain networks were depicted by connectome gradient analysis. We assessed changes in network hierarchy by comparing gradient scores in each network in patients with StD and healthy controls. The study compared different brain subdivisions if there was a different network. Finally, we analysed the relationship between the altered gradient scores and clinical characteristics.</p></div><div><h3>Results</h3><p>Patients with StD had contracted network hierarchy and suppressed cortical range gradients. In the principal gradient, the gradient scores of default mode network were significantly reduced in patients with StD compared to controls. In the default network, the subdivisions of reduced gradient scores were mainly located in the precuneus, superior temporal gyrus, and anterior and posterior cingulate gyrus. Reduced gradient scores in the default mode network, the anterior and posterior cingulate gyrus were correlated with severity of depression.</p></div><div><h3>Conclusions</h3><p>The network hierarchy of the StD changed and was significantly correlated with depressive symptoms and severity. These results provided new insights into further understanding of the neural mechanisms of StD.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000330/pdfft?md5=b74f0c09ebfbb4c6423a71a1908a07e0&pid=1-s2.0-S2213158224000330-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140149157","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":"Connecting the dots: Motor and default mode network crossroads in post-stroke motor learning deficits","authors":"Christiane Dahms ,&nbsp;Alexander Noll ,&nbsp;Franziska Wagner ,&nbsp;Alexander Schmidt ,&nbsp;Stefan Brodoehl ,&nbsp;Carsten M. Klingner","doi":"10.1016/j.nicl.2024.103601","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103601","url":null,"abstract":"<div><h3>Background</h3><p>Strokes frequently result in long-term motor deficits, imposing significant personal and economic burdens. However, our understanding of the underlying neural mechanisms governing motor learning in stroke survivors remains limited - a fact that poses significant challenges to the development and optimisation of therapeutic strategies.</p></div><div><h3>Objective</h3><p>This study investigates the diversity in motor learning aptitude and its associated neurological mechanisms. We hypothesised that stroke patients exhibit compromised overall motor learning capacity, which is associated with altered activity and connectivity patterns in the motor- and default-mode-network in the brain.</p></div><div><h3>Methods</h3><p>We assessed a cohort of 40 chronic-stage, mildly impaired stroke survivors and 39 age-matched healthy controls using functional Magnetic Resonance Imaging (fMRI) and connectivity analyses. We focused on neural activity and connectivity patterns during an unilateral motor sequence learning task performed with the unimpaired or non-dominant hand. Primary outcome measures included task-induced changes in neural activity and network connectivity.</p></div><div><h3>Results</h3><p>Compared to controls, stroke patients showed significantly reduced motor learning capacity, associated with diminished cerebral lateralization. Task induced activity modulation was reduced in the motor network but increased in the default mode network. The modulated activation strength was associated with an opposing trend in task-induced functional connectivity, with increased connectivity in the motor network and decreased connectivity in the DMN.</p></div><div><h3>Conclusions</h3><p>Stroke patients demonstrate altered neural activity and connectivity patterns during motor learning with their unaffected hand, potentially contributing to globally impaired motor learning skills. The reduced ability to lateralize cerebral activation, along with the enhanced connectivity between the right and left motor cortices in these patients, may signify maladaptive neural processes that impede motor adaptation, possibly affecting long-term rehabilitation post-stroke. The contrasting pattern of activity modulation and connectivity alteration in the default mode network suggests a nuanced role of this network in post-stroke motor learning. These insights could have significant implications for the development of customised rehabilitation strategies for stroke patients.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000408/pdfft?md5=7081e33bfd811079914bab0b6e09cf00&pid=1-s2.0-S2213158224000408-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140345322","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":"Increased iron in the substantia nigra pars compacta identifies patients with early Parkinson’s disease: A 3T and 7T MRI study","authors":"Erind Alushaj ,&nbsp;Nicholas Handfield-Jones ,&nbsp;Alan Kuurstra ,&nbsp;Anisa Morava ,&nbsp;Ravi S. Menon ,&nbsp;Adrian M. Owen ,&nbsp;Manas Sharma ,&nbsp;Ali R. Khan ,&nbsp;Penny A. MacDonald","doi":"10.1016/j.nicl.2024.103577","DOIUrl":"10.1016/j.nicl.2024.103577","url":null,"abstract":"<div><p>Degeneration in the substantia nigra (SN) pars compacta (SNc) underlies motor symptoms in Parkinson’s disease (PD). Currently, there are no neuroimaging biomarkers that are sufficiently sensitive, specific, reproducible, and accessible for routine diagnosis or staging of PD. Although iron is essential for cellular processes, it also mediates neurodegeneration. MRI can localize and quantify brain iron using magnetic susceptibility, which could potentially provide biomarkers of PD.</p><p>We measured iron in the SNc, SN pars reticulata (SNr), total SN, and ventral tegmental area (VTA), using quantitative susceptibility mapping (QSM) and R2* relaxometry, in PD patients and age-matched healthy controls (HCs). PD patients, diagnosed within five years of participation and HCs were scanned at 3T (22 PD and 23 HCs) and 7T (17 PD and 21 HCs) MRI. Midbrain nuclei were segmented using a probabilistic subcortical atlas. QSM and R2* values were measured in midbrain subregions. For each measure, groups were contrasted, with Age and Sex as covariates, and receiver operating characteristic (ROC) curve analyses were performed with repeated <em>k</em>-fold cross-validation to test the potential of our measures to classify PD patients and HCs. Statistical differences of area under the curves (AUCs) were compared using the Hanley-MacNeil method (QSM versus R2*; 3T versus 7T MRI).</p><p>PD patients had higher QSM values in the SNc at both 3T (<em>p_adj</em> = 0.001) and 7T (<em>p_adj</em> = 0.01), but not in SNr, total SN, or VTA, at either field strength. No significant group differences were revealed using R2* in any midbrain region at 3T, though increased R2* values in SNc at 7T MRI were marginally significant in PDs compared to HCs (<em>p_adj</em> = 0.052). ROC curve analyses showed that SNc iron measured with QSM, distinguished early PD patients from HCs at the single-subject level with good diagnostic accuracy, using 3T (mean AUC = 0.83, 95 % CI = 0.82–0.84) and 7T (mean AUC = 0.80, 95 % CI = 0.79–0.81) MRI. Mean AUCs reported here are from averages of tests in the hold-out fold of cross-validated samples. The Hanley-MacNeil method demonstrated that QSM outperforms R2* in discriminating PD patients from HCs at 3T, but not 7T. There were no significant differences between 3T and 7T in diagnostic accuracy of QSM values in SNc.</p><p>This study highlights the importance of segmenting midbrain subregions, performed here using a standardized atlas, and demonstrates high accuracy of SNc iron measured with QSM at 3T MRI in identifying early PD patients. QSM measures of SNc show potential for inclusion in neuroimaging diagnostic biomarkers of early PD. An MRI diagnostic biomarker of PD would represent a significant clinical advance.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000160/pdfft?md5=fa42bc5194c8e4a22bf56577a4a9cf7e&pid=1-s2.0-S2213158224000160-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139773787","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":"Longitudinal prognosis of Parkinson’s outcomes using causal connectivity","authors":"Cooper J. Mellema ,&nbsp;Kevin P. Nguyen ,&nbsp;Alex Treacher ,&nbsp;Aixa X. Andrade ,&nbsp;Nader Pouratian ,&nbsp;Vibhash D. Sharma ,&nbsp;Padraig O'Suileabhain ,&nbsp;Albert A. Montillo","doi":"10.1016/j.nicl.2024.103571","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103571","url":null,"abstract":"<div><p>Despite the prevalence of Parkinson’s disease (PD), there are no clinically-accepted neuroimaging biomarkers to predict the trajectory of motor or cognitive decline or differentiate Parkinson’s disease from atypical progressive parkinsonian diseases. Since abnormal connectivity in the motor circuit and basal ganglia have been previously shown as early markers of neurodegeneration, we hypothesize that patterns of interregional connectivity could be useful to form patient-specific predictive models of disease state and of PD progression. We use fMRI data from subjects with Multiple System Atrophy (MSA), Progressive Supranuclear Palsy (PSP), idiopathic PD, and healthy controls to construct predictive models for motor and cognitive decline and differentiate between the four subgroups. Further, we identify the specific connections most informative for progression and diagnosis. When predicting the one-year progression in the MDS-UPDRS-III<span>^1*</span> and Montreal Cognitive assessment (MoCA), we achieve new state-of-the-art mean absolute error performance. Additionally, the balanced accuracy we achieve in the diagnosis of PD, MSA, PSP, versus healthy controls surpasses that attained in most clinics, underscoring the relevance of the brain connectivity features. Our models reveal the connectivity between deep nuclei, motor regions, and the thalamus as the most important for prediction. Collectively these results demonstrate the potential of fMRI connectivity as a prognostic biomarker for PD and increase our understanding of this disease.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221315822400010X/pdfft?md5=02570d886084e248e79da6546c5f84cc&pid=1-s2.0-S221315822400010X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140103811","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":"BOLD signal variability as potential new biomarker of functional neurological disorders","authors":"Ayla Schneider ,&nbsp;Samantha Weber ,&nbsp;Anna Wyss ,&nbsp;Serafeim Loukas ,&nbsp;Selma Aybek","doi":"10.1016/j.nicl.2024.103625","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103625","url":null,"abstract":"<div><h3>Background</h3><p>Functional neurological disorder (FND) is a common neuropsychiatric condition with established diagnostic criteria and effective treatments but for which the underlying neuropathophysiological mechanisms remain incompletely understood. Recent neuroimaging studies have revealed FND as a multi-network brain disorder, unveiling alterations across limbic, self-agency, attentional/salience, and sensorimotor networks. However, the relationship between identified brain alterations and disease progression or improvement is less explored.</p></div><div><h3>Methods</h3><p>This study included resting-state functional magnetic resonance imaging (fMRI) data from 79 patients with FND and 74 age and sex-matched healthy controls (HC). First, voxel-wise BOLD signal variability was computed for each participant and the group-wise difference was calculated. Second, we investigated the potential of BOLD signal variability to serve as a prognostic biomarker for clinical outcome in 47 patients who attended a follow-up measurement after eight months.</p></div><div><h3>Results</h3><p>The results demonstrated higher BOLD signal variability in key networks, including the somatomotor, salience, limbic, and dorsal attention networks, in patients compared to controls. Longitudinal analysis revealed an increase in BOLD signal variability in the supplementary motor area (SMA) in FND patients who had an improved clinical outcome, suggesting SMA variability as a potential state biomarker. Additionally, higher BOLD signal variability in the left insula at baseline predicted a worse clinical outcome.</p></div><div><h3>Conclusion</h3><p>This study contributes to the understanding of FND pathophysiology, emphasizing the dynamic nature of neural activity and highlighting the potential of BOLD signal variability as a valuable research tool. The insula and SMA emerge as promising regions for further investigation as prognostic and state markers.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000640/pdfft?md5=63fe340d1767ef84c27b8f7065e8552b&pid=1-s2.0-S2213158224000640-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141240400","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}