Neuroimage-Clinical最新文献

{"title":"Disturbed hierarchy and mediation in reward-related circuits in depression","authors":"Ruikun Yang ,&nbsp;Junxia Chen ,&nbsp;Suping Yue ,&nbsp;Yue Yu ,&nbsp;Jiamin Fan ,&nbsp;Yuling Luo ,&nbsp;Hui He ,&nbsp;Mingjun Duan ,&nbsp;Sisi Jiang ,&nbsp;Dezhong Yao ,&nbsp;Cheng Luo","doi":"10.1016/j.nicl.2025.103739","DOIUrl":"10.1016/j.nicl.2025.103739","url":null,"abstract":"<div><h3>Backgrounds/Objective</h3><div>Deep brain stimulation (DBS) has proved the viability of alleviating depression symptoms by stimulating deep reward-related nuclei. This study aims to investigate the abnormal connectivity profiles among superficial, intermediate, and deep brain regions within the reward circuit in major depressive disorder (MDD) and therefore provides references for identifying potential superficial cortical targets for non-invasive neuromodulation.</div></div><div><h3>Methods</h3><div>Resting-state functional magnetic resonance imaging data were collected from a cohort of depression patients (N = 52) and demographically matched healthy controls (N = 60). Utilizing existing DBS targets as seeds, we conducted step-wise functional connectivity (sFC) analyses to delineate hierarchical pathways linking to cerebral cortices. Subsequently, the mediation effects of cortical regions on the interaction within reward-related circuits were further explored by constructing mediation models.</div></div><div><h3>Results</h3><div>In both cohorts, sFC analysis revealed two reward-related pathways from the deepest DBS targets to intermediate regions including the thalamus, insula, and anterior cingulate cortex (ACC), then to the superficial cortical cortex including medial frontal cortex, posterior default mode network (pDMN), and right dorsolateral prefrontal cortex (DLPFC). Patients exhibited reduced sFC in bilateral thalamus and medial frontal cortex in short and long steps respectively compared to healthy controls. We also discovered the disappearance of the mediation effects of superficial cortical regions on the interaction between DBS targets and intermediate regions in reward-related pathways in patients with MDD.</div></div><div><h3>Conclusion</h3><div>Our findings support abnormal hierarchical connectivity and mediation effects in reward-related brain regions at different depth levels in MDD, which might elucidate the underlying pathophysiological mechanisms and inspire novel targets for non-invasive interventions.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103739"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048585","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":"Diminished reward circuit response underlies pain avoidance learning deficits in problem drinkers","authors":"Thang M. Le ,&nbsp;Takeyuki Oba ,&nbsp;Chiang-Shan R. Li","doi":"10.1016/j.nicl.2025.103762","DOIUrl":"10.1016/j.nicl.2025.103762","url":null,"abstract":"<div><div>Individuals engaging in problem drinking show impaired proactive pain avoidance. As successful pain avoidance is intrinsically rewarding, this impairment suggests reward deficiency, as hypothesized for those with alcohol and substance misuse. Nevertheless, how reward circuit dysfunctions impact avoidance learning and contribute to drinking behavior remains poorly understood. Here, we combined functional imaging and a probabilistic learning go/nogo task to examine the neural processes underlying proactive pain avoidance learning in 103 adult drinkers. We hypothesized that greater drinking severity would be associated with poorer avoidance learning and that the deficits would be accompanied by weakened activity and connectivity of the reward circuit. Our behavioral findings indeed showed a negative relationship between drinking severity and learning from successful pain avoidance. We identified hypoactivation of the posterior cingulate cortex (PCC), a brain region important in avoidance, as the neural correlate of lower learning rate in association with problem drinking. The reward circuit, including the medial orbitofrontal cortex, ventral tegmental area, and substantia nigra, also exhibited diminished activation and connectivity with the PCC with greater drinking severity and learning deficits. Finally, path modeling suggested a pathway in which problem drinking disengaged the reward circuit. The weakened circuit subsequently induced PCC hypoactivation, resulting in poorer pain avoidance learning. As the learning dysfunction worsened alcohol use, the pathway represents a self-perpetuating cycle of drinking and distress. Together, these findings substantiate a role of reward deficiency in problem drinkers’ compromised proactive avoidance, thus identifying a potential target for intervention aimed at mitigating harmful alcohol use.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103762"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143479824","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":"Corrigendum to “Association between clinical features and decreased degree centrality and variability in dynamic functional connectivity in the obsessive-compulsive disorder” [Neuroimage: Clinical 44 (2024) 1–9/103665]","authors":"Changjun Teng ,&nbsp;Wei Zhang ,&nbsp;Da Zhang ,&nbsp;Xiaomeng Shi ,&nbsp;Xin Wu ,&nbsp;Huifen Qiao ,&nbsp;Ning Zhang ,&nbsp;Xiao Hu ,&nbsp;Chengbin Guan","doi":"10.1016/j.nicl.2024.103675","DOIUrl":"10.1016/j.nicl.2024.103675","url":null,"abstract":"","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103675"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142332387","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":"Neuroimaging correlates of domain-specific cognitive deficits in amyotrophic lateral sclerosis","authors":"Harold H.G. Tan ,&nbsp;Abram D. Nitert ,&nbsp;Kevin van Veenhuijzen ,&nbsp;Stefan Dukic ,&nbsp;Martine J.E. van Zandvoort ,&nbsp;Jeroen Hendrikse ,&nbsp;Michael A. van Es ,&nbsp;Jan H. Veldink ,&nbsp;Henk-Jan Westeneng ,&nbsp;Leonard H. van den Berg","doi":"10.1016/j.nicl.2025.103749","DOIUrl":"10.1016/j.nicl.2025.103749","url":null,"abstract":"<div><h3>Background</h3><div>Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with frequent extra-motor involvement. In the present study, we investigated whether specific cognitive and behavioral deficits in ALS correlate with distinct extra-motor neurodegeneration patterns on brain MRI.</div></div><div><h3>Methods</h3><div>We performed multimodal brain MRI and Edinburgh cognitive and behavioral ALS screen (ECAS) in 293 patients and 237 controls. Follow-up data were acquired from 171 patients with a median duration of 7.9 months. Domain-level cognitive scores from the ECAS were compared with grey and white matter MRI parameters. Interaction analyses between patients and controls were performed to explore whether correlates were specific to ALS, rather than related to normal aging. Follow-up data were used to assess changes of domain-associated brain structures over time.</div></div><div><h3>Results</h3><div>Language impairment was significantly associated with (left predominant) frontal, temporal, parietal and subcortical grey matter neurodegeneration. Letter fluency with widespread cortical and subcortical grey matter involvement. Memory dysfunction with hippocampal and medial-temporal atrophy. Executive impairment was exclusively correlated with widespread white matter impairment. Visuospatial scores did not correlate with MRI parameters. Interaction analyses between patients and controls showed that most ECAS-MRI correlations were stronger in ALS than in controls (75.7% significant in grey matter, 52.7% in white matter). Longitudinal analyses showed that all grey matter structures associated with cognitive domains worsened over time while, for this study population, ECAS domain scores did not decline significantly.</div></div><div><h3>Conclusions</h3><div>MRI can capture the heterogeneity of cognitive and behavioral involvement in ALS and provides a useful longitudinal biomarker for progression of extra-motor neurodegeneration.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103749"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395222","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":"Altered cerebellar activation patterns in Alzheimer’s disease: An activation likelihood estimation Meta-Analysis","authors":"Jessica A. Bernard ,&nbsp;Ivan A. Herrejon ,&nbsp;Emily An ,&nbsp;Yamilet Cina ,&nbsp;Sameera Dabbiru ,&nbsp;Jack Dempsey ,&nbsp;Elise Marrie ,&nbsp;Michele Medina ,&nbsp;Jessica Praytor","doi":"10.1016/j.nicl.2025.103770","DOIUrl":"10.1016/j.nicl.2025.103770","url":null,"abstract":"<div><div>The past decade has seen an increased interest in the cerebellum, particularly in non-motor behaviors. Emerging work across model systems and in humans has also implicated the cerebellum in Alzheimer’s Disease (AD) and in mild cognitive impairment (MCI). While the cerebellum is not seen as being central to the etiology of the disease, it is however recognized as being increasingly important, and most certainly not immune from disease-related pathology and atrophy. In cognitively normal older adults (OA), the cerebellum has been conceptualized as being critical scaffolding for cortical function. This scaffolding may extend to AD and MCI. With respect to functional imaging, this is largely unexplored in AD, as this is a nascent literature. While there are very few studies focused on the cerebellum in AD at this stage, <em>meta</em>-analysis provides a powerful tool for expanding our knowledge of the cerebellum in neurodegenerative disease, and, in turn, for hypothesis generation. We took advantage of activation likelihood estimation (ALE) <em>meta</em>-analysis to investigate overlap in functional activation present in the existing literature. We focused on AD, but also included an exploratory analysis of MCI, based on papers available in our AD search. Our analysis included a total of 29 studies, representing data from 236 individuals with AD, 159 with MCI, and 382 OA. Across these studies, there is no significant overlap in cerebellar activation in AD, though this is present in MCI. Analyses of group differences also suggest that across studies, there are patterns indicative of both greater and reduced activation in AD/MCI relative to OA. Across all findings, overlap was primarily centered on Crus I and Lobule VI. These findings suggest that cerebellar function is negatively impacted in AD, which in turn may impact behavior and symptomatology.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"46 ","pages":"Article 103770"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683530","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":"A deep learning approach versus expert clinician panel in the classification of posterior circulation infarction","authors":"Leon S. Edwards ,&nbsp;Milanka Visser ,&nbsp;Cecilia Cappelen-Smith ,&nbsp;Dennis Cordato ,&nbsp;Andrew Bivard ,&nbsp;Leonid Churilov ,&nbsp;Christopher Blair ,&nbsp;James Thomas ,&nbsp;Angela Dos Santos ,&nbsp;Longting Lin ,&nbsp;Chushuang Chen ,&nbsp;Carlos Garcia-Esperon ,&nbsp;Kenneth Butcher ,&nbsp;Tim Kleinig ,&nbsp;Phillip MC Choi ,&nbsp;Xin Cheng ,&nbsp;Qiang Dong ,&nbsp;Richard I. Aviv ,&nbsp;Mark W. Parsons ,&nbsp;on behalf of the INSPIRE Study Group","doi":"10.1016/j.nicl.2025.103732","DOIUrl":"10.1016/j.nicl.2025.103732","url":null,"abstract":"<div><h3>Background</h3><div>Posterior circulation infarction (POCI) is common. Imaging techniques such as non-contrast-CT (NCCT) and diffusion-weighted-magnetic-resonance-imaging commonly fail to detect hyperacute POCI. Studies suggest expert inspection of Computed Tomography Perfusion (CTP) improves diagnosis of POCI. In many settings, there is limited access to specialist expertise. Deep-learning has been successfully applied to automate imaging interpretation. This study aimed to develop and validate a deep-learning approach for the classification of POCI using CTP.</div></div><div><h3>Methods</h3><div>Data were analysed from 3541-patients from the International-stroke-perfusion-registry (INSPIRE). All patients with baseline multimodal-CT and follow-up imaging performed at 24–48 h were identified. A cohort of 541-patients was constructed on a 1:3 POCI-to −reference-ratio for model analysis. A 3D-Dense-Convolutional-Network (DenseNet) was trained to classify patients into POCI or non-POCI using CTP-deconvolved-maps. Six-stroke-experts also independently classified patients based upon stepwise access to multimodal CT (mCT) data. DenseNet results were compared against expert clinician results. Model and clinician performance was evaluated using area-under-the-receiver-operating-curve, sensitivity, specificity, accuracy and precision. Clinician agreement was measured with the Fleiss-Kappa-statistic.</div></div><div><h3>Results</h3><div>Best mean clinician diagnostic accuracy, sensitivity and agreement was demonstrated after review of all mCT data (AUC: 0.81, Sensitivity: 0.65, Fleiss-Kappa-statistic: 0.73). There was a spectrum of individual clinician results with an AUC-range of 0.73–0.86. Best DenseNet performance was recorded with an input combination of NCCT and delay-time maps. The DenseNet model was superior to the best mean clinician performance (AUC: 0.87) and was due to enhanced sensitivity (DenseNET: 0.77, Clinician: 0.65). The degree to which the DenseNet model outperformed each clinician ranged and was clinician specific (AUC improvement 0.01–0.14).</div></div><div><h3>Conclusion</h3><div>Comprehensive review of CTP improves diagnostic performance and agreement amongst clinicians. A DenseNet model was superior to best mean clinician performance. The degree of improvement varied by specific clinician. Development of a clinician-DenseNet approach may improve inter-clinician agreement and diagnostic accuracy. This approach may alleviate limited specialist services in resource constrained settings.</div></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"45 ","pages":"Article 103732"},"PeriodicalIF":3.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786091/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016490","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":"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":"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":"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}