Neuroimage. Reports最新文献

{"title":"Non-invasive brain stimulation reorganises effective connectivity during a working memory task in individuals with Neurofibromatosis Type 1","authors":"Marta Czime Litwińczuk ,&nbsp;Shruti Garg ,&nbsp;Stephen R. Williams ,&nbsp;Jonathan Green ,&nbsp;Caroline Lea-Carnall ,&nbsp;Nelson J. Trujillo-Barreto","doi":"10.1016/j.ynirp.2025.100258","DOIUrl":"10.1016/j.ynirp.2025.100258","url":null,"abstract":"<div><h3>Introduction</h3><div>In a previous study, we examined the effect of atDCS on working memory task performance and modulation of the inhibitory neurotransmitter, gamma-aminobutyric acid (GABA), in the dorsolateral prefrontal cortex (dlPFC). The present study investigates whether tDCS modulates effective connectivity during the task, specifically assessing whether tDCS alters interactions between neuronal populations.</div></div><div><h3>Methods</h3><div>Eighteen adolescents with Neurofibromatosis Type 1 (NF1) completed a single-blind sham-controlled cross-over randomised tDCS trial (with the anode at F3 and cathode at Cz). Dynamic causal modelling was used to estimate the effective connectivity between regions that showed working memory effects from the fMRI. Group-level inferences for between sessions (pre- and post-stimulation) and stimulation type (tDCS and sham) effects were carried out using the parametric empirical Bayes approach. A correlation analysis was performed to relate the estimated effective connectivity parameters of left dlPFC pre-tDCS and post-tDCS to the concentration of GABA measured via magnetic resonance spectroscopy (MRS-GABA). Next, correlation analysis was repeated using all working memory performance and all pre-tDCS and post-tDCS connectivity parameters.</div></div><div><h3>Results</h3><div>It was found that tDCS decreased average excitatory connectivity from dlPFC to left superior frontal gyrus and increased average excitatory connectivity to left globus pallidus. Further, reduced average intrinsic (inhibitory) connectivity of left dlPFC was associated with lower MRS-GABA. However, none of the connectivity parameters of dlPFC showed any association with performance on a working memory task.</div></div><div><h3>Conclusions</h3><div>These findings suggest that tDCS reorganised connectivity from frontal to fronto-striatal connectivity. As tDCS-related changes were not specific to the effect of working memory, they may have impacted general cognitive control processes. In addition, by reducing MRS-GABA, tDCS might make dlPFC more sensitive and responsive to external stimulation, such as performance of cognitive tasks.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100258"},"PeriodicalIF":0.0,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative biomarker exploration in ASD: Combining Graph Neural Networks and permutation testing on fMRI data","authors":"Donglin Wang,&nbsp;Wandi Ding","doi":"10.1016/j.ynirp.2025.100249","DOIUrl":"10.1016/j.ynirp.2025.100249","url":null,"abstract":"<div><div>This study employed Graph Neural Networks (GNNs), specifically an unsupervised GNN, to extract node embeddings from brain regions in both Autism Spectrum Disorder (ASD) and control groups. The objective was to identify potential biomarkers by analyzing node embeddings extracted from a graph model based on functional Magnetic Resonance Imaging (fMRI) data. Permutation tests were conducted to identify regions with significant differences in their embeddings between the two groups. Our results revealed several regions exhibiting significant differences, including the cerebellum, temporal lobe, and occipital lobe. These findings align with previous studies on ASD. Moreover, novel regions such as Vermis_3, Vermis_4_5, Fusiform areas, Parietal, and Cuneus were identified, emphasizing the need for further investigation. This study underscores the potential of GNNs in analyzing brain networks for ASD biomarker discovery. The identified regions warrant additional validation and exploration to understand their association with specific domains of ASD symptoms. Our approach presents a promising avenue to advance the diagnosis of ASD and to improve our understanding of its underlying neural basis.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100249"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional redundancy of the posterior hippocampi is selectively disrupted in non-demented older adults with β-amyloid deposition","authors":"Jenna K. Blujus ,&nbsp;Michael W. Cole ,&nbsp;Elena K. Festa ,&nbsp;Stephen L. Buka ,&nbsp;Stephen P. Salloway ,&nbsp;William C. Heindel ,&nbsp;Hwamee Oh ,&nbsp;the Alzheimer's Disease Neuroimaging Initiative","doi":"10.1016/j.ynirp.2025.100255","DOIUrl":"10.1016/j.ynirp.2025.100255","url":null,"abstract":"<div><div>Several neural mechanisms underlying resilience to Alzheimer's disease (AD) have been proposed, including redundant neural connections between the posterior hippocampi and all other brain regions, and global functional connectivity of the left frontal cortex (LFC). Here, we investigated if functional redundancy of the hippocampus (HC) and LFC underscores neural resilience in the presence of early AD pathologies. From the ADNI database, cognitively normal older adults (CN) (N = 220; 36 % A<em>β</em>+) and patients with Mild Cognitive Impairment (MCI) (N = 143; 51 % A<em>β</em>+) were utilized. Functional redundancy was calculated from resting state fMRI data using a graph theoretical approach by summing the direct and indirect paths (path lengths = 1–4) between each region of interest and its 263 functional connections. Posterior HC, but not anterior HC or LFC, redundancy was significantly lower in A<em>β</em>+ than A<em>β</em>-groups, regardless of diagnosis. Posterior HC redundancy related to higher education and better episodic memory, but it did not moderate the A<em>β</em>-cognition relationships across the diagnostic groups. Together, these findings suggest that posterior HC redundancy captures network disruption that parallels selective vulnerability to A<em>β</em> deposition. Further, our findings indicate that functional redundancy may underscore a network metric different from global functional connectivity of the LFC.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100255"},"PeriodicalIF":0.0,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How gliomas affect white matter tract bundles associated with the limbic cortex","authors":"Eric Fu,&nbsp;Anna D. Lee,&nbsp;Sera Sempson,&nbsp;John Thompson,&nbsp;D. Ryan Ormond","doi":"10.1016/j.ynirp.2025.100256","DOIUrl":"10.1016/j.ynirp.2025.100256","url":null,"abstract":"<div><h3>Introduction</h3><div>While glioma incidence in the US has stabilized, prognosis remains poor. One underutilized MRI modality, Diffusion Tensor Imaging (DTI), could be used to better predict postoperative glioma resection outcomes. DTI measures the structural integrity of brain white matter tracts by measuring water diffusion. We examined whether lateralized gliomas affected the structure of limbic tract bundles, and whether those changes correlated with tumor location, size, and number of tracts within the bundle.</div></div><div><h3>Methods</h3><div>We conducted a retrospective study of 33 glioma patients who underwent preoperative DTI and examined the cingulum, fornix, and uncinate fasciculus. Using software (ITK-SNAP, DSI Studio), we obtained diffusion coefficients (fractional anisotropy (FA), mean diffusivity (MD)), tumor volume, lobe location, and tract number. With FA and MD as measures of axonal integrity, tracts of the non-tumor hemisphere(contralateral), the tumor hemisphere that is traversing the tumor (ipsilateral inclusive), and the tumor hemisphere without traversing the tumor (ipsilateral exclusive) were compared. Additionally, we correlated these hemispheric changes to tumor size, location, and FA/MD.</div></div><div><h3>Results</h3><div>In the cingulum, FA and MD are significantly different between contralateral and ipsilateral inclusive and between ipsilateral exclusive versus ipsilateral inclusive. Similar findings were found in the uncinate fasciculus MD. FA and MD of cingulum, fornix, and uncinate fasciculus are significantly correlated with the number of tracts within the tumor hemisphere.</div></div><div><h3>Conclusion</h3><div>Our study, one of the first to specifically examine limbic related tracts, shows that gliomas could increase white matter tracts numbers and impact structure. Localized impact on white matter integrity is in line with previous observations. These findings support DTI as a pre-op planning tool; white matter of significant limbic tracts are affected by gliomas and this change is measurable. We plan on further analyzing data to include how tumor location could affect white matter, and to incorporate patient post-op mortality and morbidity.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100256"},"PeriodicalIF":0.0,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive functioning and brain MRI findings six months after acute COVID-19. A prospective observational study","authors":"Janne Pihlajamaa ,&nbsp;Henriikka Ollila ,&nbsp;Juha Martola ,&nbsp;Linda Kuusela ,&nbsp;Riikka Pihlaja ,&nbsp;Annamari Tuulio-Henriksson ,&nbsp;Sanna Koskinen ,&nbsp;Viljami Salmela ,&nbsp;Laura Hokkanen ,&nbsp;Marjaana Tiainen ,&nbsp;Johanna Hästbacka","doi":"10.1016/j.ynirp.2025.100254","DOIUrl":"10.1016/j.ynirp.2025.100254","url":null,"abstract":"<div><h3>Introduction</h3><div>COVID-19 has been linked to many neurological complications, including cognitive impairment and findings in brain imaging. However, limited data exist regarding the link between magnetic resonance imaging (MRI) findings and cognitive functioning in COVID-19 patients.</div><div>In this observational prospective study, we investigated the association between brain MRI findings, particularly cerebral microbleeds (CMBs) and white matter hyperintensities (WMHs), and cognitive functioning in COVID-19 survivors.</div></div><div><h3>Methods</h3><div>Six months after acute COVID-19 diagnosed in 2020, 67 ICU-treated, 44 ward-treated, and 44 home-isolated patients, as well as 48 non-COVID-19 controls, underwent MRI and comprehensive neuropsychological evaluation. We applied multivariable linear regression models to investigate the independent associations of total cognitive score and domain scores separately with CMBs, WMHs and other factors.</div></div><div><h3>Results</h3><div>Age (p &lt; 0.001, β = −0.36) and educational level (p &lt; 0.001, β = 0.42) predominantly explained the differences in cognitive functioning. A lower total cognitive score was associated with the number of CMBs (p = 0.0016), but not with COVID-19 (p = 0.714). Among COVID-19 patients, treatment in a regular ward (p = 0.007, β = −0.46), a high burden of WMHs (p = 0.004, β = −1.35), and having one to three CMBs (p = 0.01, β = −0.43) were associated with lower total cognitive scores.</div></div><div><h3>Conclusion</h3><div>We observed a significant association between the presence of CMBs and lower cognitive scores, regardless of COVID-19 history. However, our results do not support CMBs to be independently associated with cognitive functioning. Additionally, WMH burden was associated with lower cognitive scores.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fixel based analysis on diffusion MRI of COVID-19 survivors","authors":"Sapna S Mishra ,&nbsp;Tapan Kumar Gandhi ,&nbsp;Bharat Biswal","doi":"10.1016/j.ynirp.2025.100253","DOIUrl":"10.1016/j.ynirp.2025.100253","url":null,"abstract":"<div><div>The underlying mechanisms of long-term sequelae of the COVID-19 infection, including fatigue, memory issues, and attention deficit, remain to be understood. Therefore, we investigated the Diffusion MRI scans of 73 COVID-Recovered Patients (CRPs) and 46 Healthy Controls (HCs) using Fixel-based analysis to study the sub-voxel microstructural properties of nervous tissue. We compared the Fiber Density (FD), log scaled Fiber Cross-section (log-FC), and a combined fiber density and cross-section measure (FDC) across the cohorts. Our study reveals significant alterations (pFWE &lt;0.01) in the uncinate fasciculus (FD, log-FC, FDC; CRP &gt; HC), perigenual corpus callosum (FD; CRP &gt; HC), fornix (log-FC, FDC; CRP &gt; HC), right arcuate fasciculus (FD; CRP &lt; HC), as well as bilateral clusters in the inferior longitudinal fasciculus (FD; CRP &lt; HC), and the corticospinal tract (FD; CRP &lt; HC). We suggest that these changes may be related to microscopic changes in axonal volume. Notably, the tracts identified in this study highlight the involvement of the limbic system and the visuospatial attention network in the disorder. We expect our findings to improve our understanding of the neurological underpinnings of COVID-19.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100253"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Repeatability and reproducibility of brain age estimates in multiple sclerosis for three publicly available models","authors":"Lonneke Bos ,&nbsp;David R. van Nederpelt ,&nbsp;J.H. Cole ,&nbsp;E.M.M. Strijbis ,&nbsp;B. Moraal ,&nbsp;J.P.A. Kuijer ,&nbsp;B.M.J. Uitdehaag ,&nbsp;F. Barkhof ,&nbsp;A.M. Wink ,&nbsp;H. Vrenken ,&nbsp;B. Jasperse","doi":"10.1016/j.ynirp.2025.100252","DOIUrl":"10.1016/j.ynirp.2025.100252","url":null,"abstract":"<div><div>Accelerated brain aging is a marker of disease-related neurodegeneration in multiple sclerosis (MS). Artificial intelligence models, trained on healthy individuals, can estimate age from brain MRI scans, but the effects of technical variations between MR scanners and conditions on these estimates are currently insufficiently investigated. This study aims to determine the within-scanner repeatability and between-scanner reproducibility of the brain-predicted age difference (brain-PAD) across three brain age models.</div><div>30 people with multiple sclerosis and 10 healthy controls (mean age 44.2 ± 11.7 years and 39.2 ± 12.9 years, respectively), underwent six scans in a single day; a scan and immediate on a 3 T GE, 1.5 T Siemens and a 3 T Siemens MRI-scanner. Brain-PAD was determined using brainageR, DeepBrainNet and the MIDI-model from 3D T1w brain MRI-scans. Intraclass correlation coefficient (ICC) was used to quantify absolute agreement within-scanner (ICC-AA) and between-scanner consistency (ICC-C). Variance component analyses were used to determine the standard error of measurement (SEM) and the smallest detectable change (SDC).</div><div>Brain-PAD was higher for pwMS compared to HC when predicted with brainageR and DeepBrainNet, not when predicted with the MIDI-model. Within-scanner repeatability was excellent (ICC-AA&gt;0.93) for all models. Between-scanner reproducibility was good to excellent (ICC-C&gt;0.85) for brainageR and the MIDI-model, while DeepBrainNet, showed excellent between-scanner reproducibility for Sola vs. VIDA (ICC-C:0.97), but moderate for GE vs. Sola and for GE vs. Vida (ICC-C:0.63 and 0.61). Between-scanner SDC was 6.56 years for brainageR, 5.57 years for the MIDI-model and 22.65 years for DeepBrainNet.</div><div>Our findings demonstrated high repeatability of brain age estimates from the same scanner, but variable reproducibility across different scanners, irrespective of the brain age prediction model.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 2","pages":"Article 100252"},"PeriodicalIF":0.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Domain-specific brain regions are associated with cognitive impairment in progressive supranuclear palsy","authors":"N. Schröter ,&nbsp;M. Rijntjes ,&nbsp;J.A. Hosp ,&nbsp;M. Reisert ,&nbsp;H. Mast ,&nbsp;C. Weiller ,&nbsp;P. Oikonomou ,&nbsp;L. Frings ,&nbsp;H. Urbach ,&nbsp;W.H. Jost ,&nbsp;A. Rau","doi":"10.1016/j.ynirp.2025.100247","DOIUrl":"10.1016/j.ynirp.2025.100247","url":null,"abstract":"<div><h3>Background</h3><div>Cognitive impairment significantly contributes to the disease burden of progressive supranuclear palsy (PSP), however, the underlying pathophysiologiy is not well understood.</div></div><div><h3>Objectives</h3><div>To gain a better understanding of the pathophysiology, we identified the brain regions associated with individual domains of impaired cognition.</div></div><div><h3>Methods</h3><div>We analyzed MRI data from a cohort of 31 patients with PSP (age 71.0 +-7.0 years, range 58–87; 15 females; disease duration 2.9 +- 1.8 years). Cerebral microstructure was approximated with Diffusion Microstructure Imaging and cognitive performance was measured using the Frontal Assessment Battery (FAB) and Montreal Cognitive Assessment (MoCA). To reveal the underlying affected brain regions, whole-brain voxel-wise associations were employed to test the microstructural metrics regarding their correlation with the FAB as well as the individual cognitive domains ‚Attention‘, ‚Execution‘, ‚Language‘, ‚Memory‘, ‚Orientation‘, and ‚Visuoconstruction‘ derived from MoCA.</div></div><div><h3>Results</h3><div>MoCA performance was impaired in 87.5% of patients (20.2 +- 5.4 points, range 8–28; cut-off value: &lt;26/30). In the voxel-wise analyses, we noted significant associations of cerebral microstructure and FAB in the right-sided frontal and temporopolar white matter, deficits in ‚Memory‘ with hippocampal and temporomesial regions, in reduced ‚Orientation‘ with wide spread white-matter areas with a parietal accentuation, whereas deficits in ‚Attention‘ correlated with frontal and prefrontal structures.</div></div><div><h3>Conclusions</h3><div>Diffusion Microstructure Imaging revealed domain-specific regions of neurodegenerative alterations in PSP. The regions identified in this approach integrate well in existing disease concepts. They might therefore be a possible biomarker for cognitive impairment, as well as amonitoring parameter for future disease modifying therapeutics.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100247"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143534973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional connectivity of subsystems of the default-mode network in patients with early psychotic symptoms","authors":"Nicky Lute ,&nbsp;Imke Lemmers-Jansen ,&nbsp;Lydia Krabbendam ,&nbsp;Mariët van Buuren","doi":"10.1016/j.ynirp.2025.100248","DOIUrl":"10.1016/j.ynirp.2025.100248","url":null,"abstract":"<div><div>Resting-state connectivity of the default-mode network (DMN) is aberrant in patients with chronic psychotic disorders as well in individuals with early stage psychosis. Studies of the DMN in healthy volunteers revealed that the DMN comprises several subnetworks. However, it is not yet clear if connectivity between and within these DMN subnetworks is aberrant in patients with early psychotic symptoms nor whether these connectivity patterns are related to symptomatology. This initial investigation examined functional connectivity between and within the DMN subnetworks in patients with early psychotic symptoms and in healthy volunteers, and probed how these connectivity patterns were related to the severity of clinical symptomatology. Functional connectivity was measured during resting-state in 30 patients with early psychotic symptoms and in 39 controls using functional MRI. We did not observe differences in connectivity within and between the subnetworks of the DMN between the control group and the early psychosis group. However, lower functional connectivity between the medial prefrontal and posterior medial subnetworks and between medial prefrontal and anterior temporal subnetworks of the DMN did predict the severity of the negative symptoms. The findings of this initial investigation provide insight into the associations between functional connectivity of DMN subnetworks and symptomatology in patients with early psychotic symptoms.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100248"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unsupervised subtyping of motor dysfunction of Parkinson's disease and its structural brain imaging correlates","authors":"Yu-Fan Lin ,&nbsp;Jong-Ling Fuh ,&nbsp;Albert C. Yang","doi":"10.1016/j.ynirp.2025.100246","DOIUrl":"10.1016/j.ynirp.2025.100246","url":null,"abstract":"<div><h3>Background</h3><div>Parkinson's disease (PD) is a clinical neurodegenerative disorder. The Unified Parkinson's Disease Rating Scale (UPDRS) has been used as a standard measure of the PD symptom profile, and magnetic resonance (MR) imaging is widely used for identifying the critical brain regions involved in PD progression.</div></div><div><h3>Objectives</h3><div>The present study aimed to (1) identify PD subtypes based on the motor dysfunction profile in the MDS-UPDRS and (2) find the differences in gray matter volumes of brain regions, and (3) compare non-motor features between the subtypes to explore their distinct clinical profiles.</div></div><div><h3>Methods</h3><div>In total, 299 patients with PD and 173 healthy participants from the Parkinson's Progression Markers Initiative were included. A software package, Generalized Association Plots, was used to cluster the motor dysfunction profile in the MDS-UPDRS. Regression models and the Artificial Intelligence Platform as a Service were used to quantify the differences in gray matter volume of brain regions between subtypes.</div></div><div><h3>Results</h3><div>We identified three PD subtypes—resting tremor, intermediate, and akinetic-rigid—using motor symptom clustering. MRI analysis revealed significant differences in brain regions, including the posterior cingulate gyrus, lenticular nucleus, olfactory cortex, and cerebellum. Non-motor features, such as cognitive decline and autonomic dysfunctions, varied across subtypes, highlighting distinct systemic profiles. Akinetic-rigid patients exhibited the most severe impairments, while tremor-dominant patients showed milder non-motor symptoms.</div></div><div><h3>Discussion</h3><div>Three PD subtypes of motor dysfunction were identified. Structural brain imaging revealed subtype-specific differences not only in cingulum and putamen regions, but also in the olfactory cortex, parahippocampal gyrus, and cerebellum, correlating with motor symptoms. Non-motor features varied by subtype, with increasing severity from tremor-dominant to akinetic-rigid.</div></div>","PeriodicalId":74277,"journal":{"name":"Neuroimage. Reports","volume":"5 1","pages":"Article 100246"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}