Neuroimage-Clinical最新文献

{"title":"Determinants driving the evolution of new multiple sclerosis lesions into chronic active or remyelinated states","authors":"G. Boffa ,&nbsp;C. Razzetta ,&nbsp;D. Boccia ,&nbsp;S. Garbarino ,&nbsp;E. Cipriano ,&nbsp;A. Uccelli ,&nbsp;C. Lapucci ,&nbsp;M. Piana ,&nbsp;M. Inglese","doi":"10.1016/j.nicl.2025.103823","DOIUrl":"10.1016/j.nicl.2025.103823","url":null,"abstract":"<div><h3>Introduction</h3><div>Once formed, focal lesions that develop in patients with multiple sclerosis (MS) can follow different trajectories. We aimed at identifying early clinical and MRI features associated with the evolution of new MS lesions into chronic-active versus remyelinated states.</div></div><div><h3>Methods</h3><div>New contrast-enhancing (CE) lesions were classified after a 12-month follow-up with quantitative susceptibility mapping (QSM) into paramagnetic rim lesions (PRLs, representing chronic-active lesions) and isointense QSM lesions (ISO, representing remyelinated lesions). SHapley Additive exPlanations (SHAP) analysis, which highlights the most relevant features contributing to model predictions, was conducted using baseline clinical and MRI characteristics. A risk score was calculated for PRL and ISO classifications using the four most influential features for each task.</div></div><div><h3>Results</h3><div>A total of 111 lesions from 44 MS patients were analyzed. At 12 months, 13 % lesions were classified as PRL and 45 % as ISO. The key predictive features were similar for both classes (lesion volume, patient age and sex) except for the pattern of contrast enhancement (which was selected for PRL classification) and lesion topography (which was selected for ISO classification). Older age (&gt;48 years), male sex, bigger lesion volume (&gt;5 mL) and the presence of a ring pattern of contrast enhancement favored PRLs, while younger age (&lt;36 years), female sex, smaller lesion volume (&lt;0.17 mL) and the juxta-subcortical/deep white matter location favored ISO.</div></div><div><h3>Interpretation</h3><div>The outcome of a new MS lesion can be predicted at lesion onset considering few clinically accessible features.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"47 ","pages":"Article 103823"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291303","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":"CTV-MIND: A cortical thickness-volume integrated individualized morphological network model to explore disease progression in temporal lobe epilepsy","authors":"Xinyan Liu ,&nbsp;Jiaqi Han ,&nbsp;Xiating Zhang ,&nbsp;Boxuan Wei ,&nbsp;Lu Xu ,&nbsp;Qilin Zhou ,&nbsp;Yuping Wang ,&nbsp;Yicong Lin ,&nbsp;Jicong Zhang","doi":"10.1016/j.nicl.2025.103843","DOIUrl":"10.1016/j.nicl.2025.103843","url":null,"abstract":"<div><div>Temporal lobe epilepsy (TLE) is a progressive brain network disorder. Elucidating network reorganization and identifying disease progression-associated biomarkers are crucial for understanding pathological mechanisms, quantifying disease burden, and optimizing clinical strategies. This study aimed to investigate progressive changes in TLE by constructing a novel individualized morphological brain network based on T1-weighted structural magnetic resonance imaging (MRI). MRI data were collected from 34 postoperative seizure-free TLE patients and 28 age- and sex-matched healthy controls (HC), with patients divided into LONG-TERM and SHORT-TERM groups. Individualized morphological networks were constructed using the Morphometric INverse Divergence (MIND) framework by integrating cortical thickness and volume features (CTV-MIND). Network properties were then calculated and compared across groups to identify features potentially associated with disease progression. Results revealed progressive hub-node reorganization in CTV-MIND networks, with the LONG-TERM group showing increased connectivity in the lesion-side temporal lobe compared to SHORT-TERM and HC groups. The altered network node properties showed a significant correlation with local cortical atrophy. Incorporating identified network features into a machine learning-based brain age prediction model further revealed significantly elevated brain age in TLE. Notably, duration-related brain regions exerted a more significant and specific impact on premature brain aging in TLE than other regional combinations. Thus, prolonged duration may serve as an important contributor to the pathological aging observed in TLE. Our findings could help clinicians better identify abnormal brain trajectories in TLE and have the potential to facilitate the optimization of personalized treatment strategies.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103843"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144604127","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":"Understanding the development of neural abnormalities in adolescents with mental health problems: A longitudinal study","authors":"Jiangyun Hou ,&nbsp;Laurens van de Mortel ,&nbsp;Weijian Liu ,&nbsp;Shu Liu ,&nbsp;Arne Popma ,&nbsp;Dirk J.A. Smit ,&nbsp;Guido van Wingen","doi":"10.1016/j.nicl.2025.103885","DOIUrl":"10.1016/j.nicl.2025.103885","url":null,"abstract":"<div><h3>Background</h3><div>Many mental health problems are neurodevelopmental in nature and have an onset during childhood. These disorders are associated with neural abnormalities, but it is unclear when these emerge and how this relates to the development of different mental health problems.</div></div><div><h3>Methods</h3><div>We identified children who developed mental health problems over two years and controls who remained healthy from the Adolescent Brain Cognitive Development (ABCD) study. Six mental health conditions (N = 58 to N = 173) were compared to controls (N = 2500) using separate linear models to assess group differences at baseline and in neurodevelopment for six disorders and six modalities. Shared neurodevelopmental changes were assessed by comparing spatial patterns of brain alterations across conditions at baseline and over time.</div></div><div><h3>Results</h3><div>The baseline data showed brain-wide abnormalities in children who later developed mental health problems, which were comparable between internalizing problems and different from externalizing problems. Brain-region specific abnormalities were limited to individuals who later developed oppositional defiant symptoms. The longitudinal data showed differential neurodevelopmental trajectories for specific brain regions in adolescents who developed ADHD, conduct and anxiety problems, as well as brain-wide neurodevelopmental abnormalities that were comparable between mental health problem groups compared to controls.</div></div><div><h3>Conclusions</h3><div>Our findings reveal both shared and problem-specific neural abnormalities, providing critical insights into the evolving neurobiological mechanisms that underlie both shared and distinct mental health problems, highlighting how disorder-specific and transdiagnostic brain abnormalities emerge across development.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"48 ","pages":"Article 103885"},"PeriodicalIF":3.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157443","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":"Resting-state functional near-infrared spectroscopy in neurodegenerative diseases – A systematic review","authors":"Franziska Albrecht ,&nbsp;Alexander Kvist ,&nbsp;Erika Franzén","doi":"10.1016/j.nicl.2025.103733","DOIUrl":"10.1016/j.nicl.2025.103733","url":null,"abstract":"<div><h3>Objective</h3><div>To systematically review and summarize alterations found in resting-state activity as measured via functional near-infrared spectroscopy (fNIRS) in neurodegenerative diseases.</div></div><div><h3>Background</h3><div>fNIRS is a novel and emerging neuroimaging method suitable for a variety of study designs. Resting-state is the measure of brain activity in the absence of a task, which has been investigated for yielding information about neurodegenerative diseases, mainly using magnetic resonance imaging. We aimed to systematically review the usage of resting-state fNIRS (rsfNIRS) in neurodegenerative diseases.</div></div><div><h3>Inclusion criteria</h3><div>Studies investigating people diagnosed with a neurodegenerative disease and resting-state activity obtained with fNIRS using at least two channels.</div></div><div><h3>Methods</h3><div>We searched three databases for publications. After the screening, 16 studies were included in the systematic review. The quality of the studies was assessed, and data were extracted. Data were qualitatively synthesized and in the case of at least 10 similar studies, a meta-analysis was planned.</div></div><div><h3>Results</h3><div>Most studies investigated Mild cognitive impairment (50%), followed by Alzheimer’s disease (25%). Other neurodegenerative diseases encompassed Parkinson’s disease, Multiple sclerosis, and Amyotrophic lateral sclerosis. All studies reported oxygenated hemoglobin. Still, studies were heterogeneous in terms of study design, measurement duration, fNIRS device, montage, pre-processing, and analyses. A meta-analysis was not considered possible due to this heterogeneity.</div></div><div><h3>Conclusion</h3><div>rsfNIRS shows promise in neurodegenerative disease, as most studies have observed resting-state alterations when compared to healthy controls. However, inconsistencies across studies limit data comparison and meta-analysis. Hence, we strongly advocate the application of fNIRS reporting guidelines and the establishment of rsfNIRS-specific guidelines. This will ensure reliable and comparable results in future research.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103733"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076190","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":"Impaired spatial dynamic functional network connectivity and neurophysiological correlates in functional hemiparesis","authors":"E. Premi ,&nbsp;V. Cantoni ,&nbsp;A. Benussi ,&nbsp;A. Iraji ,&nbsp;V.D. Calhoun ,&nbsp;D. Corbo ,&nbsp;R. Gasparotti ,&nbsp;M. Tinazzi ,&nbsp;B. Borroni ,&nbsp;M. Magoni","doi":"10.1016/j.nicl.2025.103731","DOIUrl":"10.1016/j.nicl.2025.103731","url":null,"abstract":"<div><div>The present study investigated spatial dynamic functional network connectivity (dFNC) in patients with functional hemiparesis (i.e., functional stroke mimics, FSM). The aim of this work was to assess static functional connectivity (large-scale) networks and dynamic brain states, which represent distinct dFNC patterns that reoccur in time and across subjects. Resting-state fMRI data were collected from 15 patients with FSM (mean age = 42.3 ± 9.4, female = 80 %) and 52 age-matched healthy controls (HC, mean age = 42.1 ± 8.6, female = 73 %).</div><div>Each patient underwent a resting-state functional MRI scan for spatial dFNC evaluation and transcranial magnetic stimulation protocols for indirect assessment of GABAergic and glutamatergic transmission. We considered three dynamic brain networks, i.e., the somatomotor network (SMN), the default mode network (DMN) and the salience network (SN), each summarized into four distinct recurring spatial configurations. Compared to HC, patients with FSM showed significant decreased dwell time, e.g. the time each individual spends in each spatial state of each network, in state 2 of the SMN (HC <em>vs</em>. FSM, 13.5 ± 27.1 <em>vs.</em> 1.9 ± 4.1, <em>p</em> = 0.044). Conversely, as compared to HC, FSM spent more time in state 1 of the DMN (10.8 ± 14.9 <em>vs.</em> 27.3 ± 38.9, <em>p</em> = 0.037) and in state 3 of the SN (23.1 ± 23.0 <em>vs.</em> 38.8 ± 38.2, <em>p</em> = 0.002). We found a significant correlation between the dwell time of impaired functional state of the SMN and measures of GABAergic neurotransmission (<em>r</em> = 0.581, <em>p</em> = 0.037). Specifically, longer impaired dwell time was associated with greater GABAergic inhibition. These findings demonstrate that FSM present altered functional brain network dynamics, which correlate with measures of GABAergic neurotransmission. Both dFNC and GABAergic neurotransmission may serve as potential targets for future intervention strategies.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103731"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11762193/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143054153","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 functional brain connectivity in female adolescents with first-onset anorexia nervosa","authors":"Katrien F.M. Bracké ,&nbsp;Laura Monteiro Rente Dias ,&nbsp;Marisha N. Meijer ,&nbsp;Cathelijne P.M. Steegers ,&nbsp;Laurinde F. den Heijer ,&nbsp;Tess van der Harst ,&nbsp;Marjolein H.G. Dremmen ,&nbsp;Meike W. Vernooij ,&nbsp;Gwen C. Dieleman ,&nbsp;Tonya White","doi":"10.1016/j.nicl.2025.103745","DOIUrl":"10.1016/j.nicl.2025.103745","url":null,"abstract":"<div><h3>Objective</h3><div>Women with anorexia nervosa (AN) have been shown to demonstrate differences in functional connectivity in brain regions associated with cognitive control, somatosensory processing, and emotion regulation. However, previous studies have been conducted on small samples and have inconsistent findings. Therefore, this study aimed to identify aberrant brain networks related to the core clinical symptoms of AN and to explore the longitudinal association with clinical outcome in a large population of adolescents experiencing their first episode of AN.</div></div><div><h3>Methods</h3><div>Functional MRI (fMRI) of brain resting-state functional connectivity (RS-FC) of female adolescents with first-onset AN (n = 56) were compared to age- and education-matched typically developing (TD) adolescents (n = 64). To account for the severity of underweight, separate analyses were performed to investigate differences in RS-FC between underweight AN participants and TD adolescents, as well as between underweight (n = 30) and weight-restored AN (n = 26) participants. Clinical outcomes, i.e. body mass index and eating disorder (ED) symptoms, were assessed at baseline and one-year follow-up. Independent component analyses (ICA) were used to extract the brain networks of interest: the default mode (DMN), left and right frontoparietal (FPN), and the insular (IN) networks. Linear regression analyses were conducted to assess differences in RS-FC between AN and TD participants, as well as to assess whether RS-FC was associated with clinical symptoms at baseline and at one-year of follow-up. Two statistical models were used: model 1 adjusted for age and socioeconomic status (SES), and model 2 additionally adjusted for baseline anxiety and depressive symptoms.</div></div><div><h3>Results</h3><div>Underweight AN participants had lower RS-FC between the DMN-IN, as well as between the FPN-IN compared to the TD adolescents. After correction for multiple testing, no significant differences in RS-FC were found between underweight AN participants and weight-restored AN participants, as well as between the whole AN group and the TD group. RS-FC was not associated with the severity of clinical symptoms at baseline nor at one-year of follow-up.</div></div><div><h3>Conclusion</h3><div>AN is associated with changes in RS-FC between the FPN-IN and DMN-IN during the underweight state. These changes in RS-FC were no longer observed in weight-restored AN participants, emphasizing the impact of underweight on RS-FC in AN. Changes in these brain networks may partly explain the impaired cognitive control and difficulties with emotion and behavioral regulation in individuals with AN during the underweight state.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103745"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182388","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":"Structural and functional changes of Post-Stroke Depression: A multimodal magnetic resonance imaging study","authors":"Qiuhong Lu ,&nbsp;Shunzu Lu ,&nbsp;Xue Wang ,&nbsp;Yanlan Huang ,&nbsp;Jie Liu ,&nbsp;Zhijian Liang","doi":"10.1016/j.nicl.2025.103743","DOIUrl":"10.1016/j.nicl.2025.103743","url":null,"abstract":"<div><div>This study investigated changes in gray matter volume (GMV), white matter microstructure, and spontaneous brain activity in post-stroke depression (PSD) using multiple MRI techniques, including neurite orientation dispersion and density imaging (NODDI). Changes in GMV, neurite density index (NDI), orientation dispersion index (ODI), fraction of isotropic water (ISO), diffusion tensor imaging (DTI) parameters, and the amplitude of frequency fluctuations (ALFF) were assessed between PSD (n = 20), post-stroke without depression (n = 20), and normal control (n = 20) groups. Receiver operating characteristic (ROC) curve analysis was performed to test the classification performance of the variant parameters of each MRI modality, each single MRI modality and multiple MRI modality. Compared to patients with post-stroke without depression (non-PSD), those with PSD showed increased ODI and ISO in the widespread white matter, as well as increased ALFF in the left pallidum. No significant differences in the GMV or DTI parameters were observed between the two groups. Furthermore, the ODI of the right superior longitudinal fasciculus and NODDI showed the best classification performance for PSD at their respective comparison level (the areas under the ROC curves (AUC) = 0.917(0.000), 0.933(0.000)). The model of NODDI-derived parameters combined with non-diffusion MRI modality parameters (i.e., GMV and ALFF) showed better diagnostic performance than that of DTI-derived parameters. These findings suggest that PSD is associated with structural and functional abnormalities that may contribute to depressive symptoms. Additionally, NODDI showed its advantages in the description of structural alterations in emotion-related white matter pathways and classification performance in PSD.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103743"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082045","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":"Sequential patterning of dynamic brain states distinguish Parkinson’s disease patients with mild cognitive impairments","authors":"Aaron S. Kemp ,&nbsp;A. Journey Eubank ,&nbsp;Yahya Younus ,&nbsp;James E. Galvin ,&nbsp;Fred W. Prior ,&nbsp;Linda J. Larson-Prior","doi":"10.1016/j.nicl.2025.103779","DOIUrl":"10.1016/j.nicl.2025.103779","url":null,"abstract":"<div><div>Parkinson’s disease (PD) is a neurodegenerative disease which presents clinically with progressive impairments in motoric and cognitive functioning. Pathophysiologic mechanisms underlying these impairments are believed to be attributable to a breakdown in the spatiotemporal coordination of functional neural networks across multiple cortical and subcortical regions. The current investigation used resting state, functional magnetic resonance imaging (rs-fMRI) to determine whether the temporal characteristics or sequential patterning of dynamic functional network connectivity (dFNC) states could accurately distinguish among people with PD who had normal cognition (PD-NC, n = 18), those with PD who had mild cognitive impairment (PD-MCI, n = 15), and older-aged healthy control (HC, n = 22) individuals. Results indicated that the proportion of time during the rs-fMRI scan that was spent in each of three identified dFNC states (dwell time) differed among these three groups. Individuals in the PD-MCI group spent significantly more time in a dFNC state characterized by low functional network connectivity, relative to participants in both the PD-NC (p = 0.0226) and HC (p = 0.0027) cohorts and tend to spend less time in a state characterized by anti-correlated thalamo-cortical connectivity, relative to both the PD-NC (p = 0.016) and HC (p = 0.0562) groups. A machine-learning method using sequential pattern mining was also found to distinguish among the groups with moderate accuracies ranging from 0.53 to 0.80, revealing distinct sequential patterns in the temporal ordering of dFNC states. These findings underscore the potential of dFNC and sequential pattern mining as relevant methods for further exploration of the pathophysiologic underpinnings of cognitive impairment among people living with PD.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103779"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843969","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":"Brain network alterations in anorexia Nervosa: A Multi-Center structural connectivity study","authors":"Jun Kanzawa ,&nbsp;Ryo Kurokawa ,&nbsp;Tsunehiko Takamura ,&nbsp;Nobuhiro Nohara ,&nbsp;Kouhei Kamiya ,&nbsp;Yoshiya Moriguchi ,&nbsp;Yasuhiro Sato ,&nbsp;Yumi Hamamoto ,&nbsp;Tomotaka Shoji ,&nbsp;Tomohiko Muratsubaki ,&nbsp;Motoaki Sugiura ,&nbsp;Shin Fukudo ,&nbsp;Yoshiyuki Hirano ,&nbsp;Yusuke Sudo ,&nbsp;Rio Kamashita ,&nbsp;Sayo Hamatani ,&nbsp;Noriko Numata ,&nbsp;Koji Matsumoto ,&nbsp;Eiji Shimizu ,&nbsp;Naoki Kodama ,&nbsp;Osamu Abe","doi":"10.1016/j.nicl.2025.103737","DOIUrl":"10.1016/j.nicl.2025.103737","url":null,"abstract":"<div><div>Anorexia nervosa (AN) is a severe eating disorder characterized by intense fear of weight gain, distorted body image, and extreme food restriction. This research employed advanced diffusion MRI techniques including single-shell 3-tissue constrained spherical deconvolution, anatomically constrained tractography, and spherical deconvolution informed filtering of tractograms to analyze brain network alterations in AN. Diffusion MRI data from 81 AN patients and 98 healthy controls were obtained. The structural brain connectome was constructed based on nodes set in 84 brain regions, and graph theory analysis was conducted. Results showed that AN patients exhibited significantly higher clustering coefficient and local efficiency in several brain regions, including the left fusiform gyrus, bilateral orbitofrontal cortex, right entorhinal cortex, right lateral occipital gyrus, right superior temporal gyrus, and right insula. A trend towards higher global efficiency and small-worldness was also observed in AN patients, although not statistically significant. These findings suggest increased local connectivity and efficiency within regions associated with behavioral rigidity, emotional regulation, and disturbed body image among AN patients. This study contributes to the understanding of the neurological basis of AN by highlighting structural connectivity alterations in specific brain regions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103737"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143076106","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":"Sweet spot for resting-state functional MRI effect of deep brain stimulation in dystonia lies in the lower pallidal area","authors":"Pavel Filip ,&nbsp;Andrej Lasica ,&nbsp;Dimitra Kiakou ,&nbsp;Karsten Mueller ,&nbsp;Jiří Keller ,&nbsp;Dušan Urgošík ,&nbsp;Daniel Novák ,&nbsp;Robert Jech","doi":"10.1016/j.nicl.2025.103750","DOIUrl":"10.1016/j.nicl.2025.103750","url":null,"abstract":"<div><h3>Introduction</h3><div>Deep brain stimulation (DBS) of the internal globus pallidus (GPi) is a well-established, effective treatment for dystonia. Substantial variability of therapeutic success has been the one of the drivers of an ongoing debate about proper stimulation site and settings, with several indications of the notional sweet spot pointing to the lower GPi or even subpallidal area.</div></div><div><h3>Methods</h3><div>The presented patient-blinded, random-order study with cross-sectional verification against healthy controls enrolled 17 GPi DBS idiopathic, cervical or generalised dystonia patients to compare the effect of the stimulation in the upper and lower GPi area, with the focus on sensorimotor network connectivity and local activity measured using functional magnetic resonance.</div></div><div><h3>Results</h3><div>Stimulation brought both these parameters to levels closer to the state detected in healthy controls. This effect was much more pronounced during the stimulation in the lower GPi area or beneath it than in slightly higher positions, with stimulation-related changes detected by both metrics of interest in the sensorimotor cortex, striatum, thalamus and cerebellum.</div></div><div><h3>Conclusions</h3><div>All in all, this study not only replicated the results of previous studies on GPi DBS as a modality restoring sensorimotor network connectivity and local activity in dystonia towards the levels in healthy population, but also showed that lower GPi area or even subpallidal structures, be it white matter or even small, but essential nodes in the zona incerta as nucleus basalis of Meynert, are important regions to consider when programming DBS in dystonia patients.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103750"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453406","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}