Neuroimage-Clinical最新文献

{"title":"Fine hippocampal morphology analysis with a multi-dataset cross-sectional study on 2911 subjects","authors":"Qinzhu Yang ,&nbsp;Guojing Chen ,&nbsp;Zhi Yang ,&nbsp;Tammy Riklin Raviv ,&nbsp;Yi Gao","doi":"10.1016/j.nicl.2024.103620","DOIUrl":"10.1016/j.nicl.2024.103620","url":null,"abstract":"<div><p>CA1 subfield and subiculum of the hippocampus contain a series of dentate bulges, which are also called hippocampus dentation (HD). There have been several studies demonstrating an association between HD and brain disorders. Such as the number of hippocampal dentation correlates with temporal lobe epilepsy. And epileptic hippocampus have a lower number of dentation compared to contralateral hippocampus. However, most studies rely on subjective assessment by manual searching and counting in HD areas, which is time-consuming and labor-intensive to process large amounts of samples. And to date, only one objective method for quantifying HD has been proposed. Therefore, to fill this gap, we developed an automated and objective method to quantify HD and explore its relationship with neurodegenerative diseases. In this work, we performed a fine-scale morphological characterization of HD in 2911 subjects from four different cohorts of ADNI, PPMI, HCP, and IXI to quantify and explore differences between them in MR T1w images. The results showed that the degree of right hippocampal dentation are lower in patients with Alzheimer's disease than samples in mild cognitive impairment or cognitively normal, whereas this change is not significant in Parkinson's disease progression. The innovation of this paper that we propose a quantitative, robust, and fully automated method. These methodological innovation and corresponding results delineated above constitute the significance and novelty of our study. What’s more, the proposed method breaks through the limitations of manual labeling and is the first to quantitatively measure and compare HD in four different brain populations including thousands of subjects. These findings revealed new morphological patterns in the hippocampal dentation, which can help with subsequent fine-scale hippocampal morphology research.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"43 ","pages":"Article 103620"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000597/pdfft?md5=1d4bdcffccfdeb8d7f2c58484467e00d&pid=1-s2.0-S2213158224000597-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141133899","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":"Sleep and physical activity measures are associated with resting-state network segregation in non-demented older adults","authors":"Daniel D. Callow ,&nbsp;Adam P. Spira ,&nbsp;Vadim Zipunnikov ,&nbsp;Hanzhang Lu ,&nbsp;Sarah K. Wanigatunga ,&nbsp;Jill A. Rabinowitz ,&nbsp;Marilyn Albert ,&nbsp;Arnold Bakker ,&nbsp;Anja Soldan ,&nbsp;the BIOCARD Research Team","doi":"10.1016/j.nicl.2024.103621","DOIUrl":"10.1016/j.nicl.2024.103621","url":null,"abstract":"<div><p>Greater physical activity and better sleep are associated with reduced risk of cognitive decline and dementia among older adults, but little is known about their combined associations with measures of brain function and neuropathology. This study investigated potential independent and interactive cross-sectional relationships between actigraphy-estimated total volume of physical activity (TVPA) and sleep patterns [i.e., total sleep time (TST), sleep efficiency (SE)] with resting-state functional magnetic resonance imaging (rs-fMRI) measures of large scale network connectivity and positron emission tomography (PET) measures of amyloid-β. Participants were 135 non-demented older adults from the BIOCARD study (116 cognitively normal and 19 with mild cognitive impairment; mean age = 70.0 years). Using multiple linear regression analyses, we assessed the association between TVPA, TST, and SE with connectivity within the default-mode, salience, and fronto-parietal control networks, and with network modularity, a measure of network segregation. Higher TVPA and SE were independently associated with greater network modularity, although the positive relationship of SE with modularity was only present in amyloid-negative individuals. Additionally, higher TVPA was associated with greater connectivity within the default-mode network, while greater SE was related to greater connectivity within the salience network. In contrast, longer TST was associated with lower network modularity, particularly among amyloid-positive individuals, suggesting a relationship between longer sleep duration and greater network disorganization. Physical activity and sleep measures were not associated with amyloid positivity. These data suggest that greater physical activity levels and more efficient sleep may promote more segregated and potentially resilient functional networks and increase functional connectivity within specific large-scale networks and that the relationship between sleep and functional networks connectivity may depend on amyloid status.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"43 ","pages":"Article 103621"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000603/pdfft?md5=cf1c57ee0d80b4cb35794323ad368710&pid=1-s2.0-S2213158224000603-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141143642","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 microstructure and connectivity in COVID-19 patients with olfactory or cognitive impairment","authors":"Alberto Arrigoni ,&nbsp;Mattia Previtali ,&nbsp;Sara Bosticardo ,&nbsp;Giulio Pezzetti ,&nbsp;Sofia Poloni ,&nbsp;Serena Capelli ,&nbsp;Angela Napolitano ,&nbsp;Andrea Remuzzi ,&nbsp;Rosalia Zangari ,&nbsp;Ferdinando Luca Lorini ,&nbsp;Maria Sessa ,&nbsp;Alessandro Daducci ,&nbsp;Anna Caroli ,&nbsp;Simonetta Gerevini","doi":"10.1016/j.nicl.2024.103631","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103631","url":null,"abstract":"<div><h3>Introduction</h3><p>The COVID-19 pandemic has affected millions worldwide, causing mortality and multi-organ morbidity. Neurological complications have been recognized. This study aimed to assess brain structural, microstructural, and connectivity alterations in patients with COVID-19-related olfactory or cognitive impairment using post-acute (time from onset: 264[208–313] days) multi-directional diffusion-weighted MRI (DW-MRI).</p></div><div><h3>Methods</h3><p>The study included 16 COVID-19 patients with cognitive impairment (COVID-CM), 35 COVID-19 patients with olfactory disorder (COVID-OD), and 14 controls. A state-of-the-art processing pipeline was developed for DW-MRI pre-processing, mean diffusivity and fractional anisotropy computation, fiber density and cross-section analysis, and tractography of white-matter bundles. Brain parcellation required for probing network connectivity, region-specific microstructure and volume, and cortical thickness was based on T1-weighted scans and anatomical atlases.</p></div><div><h3>Results</h3><p>Compared to controls, COVID-CM patients showed overall gray matter atrophy (age and sex corrected p = 0.004), and both COVID-19 patient groups showed regional atrophy and cortical thinning. Both groups presented an increase in gray matter mean diffusivity (corrected p = 0.001), decrease in white matter fiber density and cross-section <strong>(corrected p &lt; 0.05)</strong>, , and COVID-CM patients also displayed an overall increased diffusivity (p = 0.022) and decreased anisotropy (corrected p = 0.038) in white matter. Graph-based analysis revealed reduced network modularity, with an extensive pattern of connectivity increase, in conjunction with a localized reduction in a few connections, mainly located in the left hemisphere. The left cingulate, anterior cingulate, and insula were primarily involved.</p></div><div><h3>Conclusion</h3><p>Expanding upon previous findings, this study further investigated significant alterations in brain morphology, microstructure, and connectivity in COVID-19 patients with olfactory or cognitive disfunction. These findings suggest underlying neurodegeneration, neuroinflammation, and concomitant compensatory mechanisms. Future longitudinal studies are required to monitor the alterations over time and assess their transient or permanent nature.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"43 ","pages":"Article 103631"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000706/pdfft?md5=f8fc657175c65328b36c2aeb6d2bdcb6&pid=1-s2.0-S2213158224000706-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141325084","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":"Corpus callosum damage in PSP and unsteady PD patients: A multimodal MRI study","authors":"Maria Eugenia Caligiuri ,&nbsp;Andrea Quattrone ,&nbsp;Maria Giovanna Bianco ,&nbsp;Valerio Riccardo Aquila ,&nbsp;Maria Celeste Bonacci ,&nbsp;Camilla Calomino ,&nbsp;Chiara Camastra ,&nbsp;Jolanda Buonocore ,&nbsp;Antonio Augimeri ,&nbsp;Maurizio Morelli ,&nbsp;Aldo Quattrone","doi":"10.1016/j.nicl.2024.103642","DOIUrl":"10.1016/j.nicl.2024.103642","url":null,"abstract":"<div><h3>Introduction</h3><p>Postural instability (PI) is a common disabling symptom in Parkinson’s disease (PD) patients, but the brain alterations underlying this sign are not fully understood yet. This study aimed to investigate the association between PI and callosal damage in PD and progressive supranuclear palsy (PSP) patients, using multimodal MR imaging.</p></div><div><h3>Methods</h3><p>One-hundred and two PD patients stratified according to the presence/absence of PI (PD-steady N=58; PD-unsteady N=44), 69 PSP patients, and 38 healthy controls (HC) underwent structural and diffusion 3T brain MRI. Thickness, fractional anisotropy (FA) and mean diffusivity (MD) were calculated over 50 equidistant points covering the whole midsagittal profile of the corpus callosum (CC) and compared among groups. Associations between imaging metrics and postural instability score were investigated using linear regression.</p></div><div><h3>Results</h3><p>Both PSP and PD-unsteady patient groups showed CC involvement in comparison with HC, while no difference was found between PD-steady patients and controls. The CC damage was more severe and widespread in PSP than in PD patients. The CC genu was the regions most damaged in PD-unsteady patients compared with PD-steady patients, showing significant microstructural alterations of MD and FA metrics. Linear regression analysis pointed at the MD in the CC genu as the main contributor to PI among the considered MRI metrics.</p></div><div><h3>Conclusion</h3><p>This study identified callosal microstructural alterations associated with PI in unsteady PD and PSP patients, which provide new insights on PI pathophysiology and might serve as imaging biomarkers for assessing postural instability progression and treatment response.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"43 ","pages":"Article 103642"},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000810/pdfft?md5=0c295c9f421eaa1b72c2a8e4bdbbbd7e&pid=1-s2.0-S2213158224000810-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141636971","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":"Variability in white matter structure relates to hallucination proneness","authors":"Joseph F. Johnson ,&nbsp;Michael Schwartze ,&nbsp;Michel Belyk ,&nbsp;Ana P. Pinheiro ,&nbsp;Sonja A. Kotz","doi":"10.1016/j.nicl.2024.103643","DOIUrl":"10.1016/j.nicl.2024.103643","url":null,"abstract":"<div><p>Hallucinations are a prominent transdiagnostic psychiatric symptom but are also prevalent in individuals who do not require clinical care. Moreover, persistent psychosis-like experience in otherwise healthy individuals may be related to an increased risk to transition to a psychotic disorder. This suggests a common etiology across clinical and non-clinical individuals along a multidimensional psychosis continuum that may be detectable in structural variations of the brain. The current diffusion tensor imaging study assessed 50 healthy individuals (35 females) to identify possible differences in white matter associated with hallucination proneness (HP). This approach circumvents potential confounds related to medication, hospitalization, and disease progression common in clinical individuals. We determined how HP relates to white matter structure in selected association, commissural, and projection fiber pathways putatively linked to psychosis. Increased HP was associated with enhanced fractional anisotropy (FA) in the right uncinate fasciculus, the right anterior and posterior arcuate fasciculus, and the corpus callosum. These findings support the notion of a psychosis continuum, providing first evidence of structural white matter variability associated with HP in healthy individuals. Furthermore, alterations in the targeted pathways likely indicate an association between HP-related structural variations and the putative salience and attention mechanisms that these pathways subserve.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"43 ","pages":"Article 103643"},"PeriodicalIF":3.4,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000822/pdfft?md5=097302df699c86edec38fc3fa8c2cd71&pid=1-s2.0-S2213158224000822-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141753386","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":"Impact of adult-onset multiple sclerosis on MRI-based intracranial volume: A study in clinically discordant monozygotic twins","authors":"Matin Mortazavi ,&nbsp;Lisa Ann Gerdes ,&nbsp;Öznur Hizarci ,&nbsp;Tania Kümpfel ,&nbsp;Katja Anslinger ,&nbsp;Frank Padberg ,&nbsp;Sophia Stöcklein ,&nbsp;Daniel Keeser ,&nbsp;Birgit Ertl-Wagner","doi":"10.1016/j.nicl.2024.103597","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103597","url":null,"abstract":"<div><h3>Objective</h3><p>Intracranial volume (ICV) represents the maximal brain volume for an individual, attained prior to late adolescence and remaining constant throughout life after. Thus, ICV serves as a surrogate marker for brain growth integrity. To assess the potential impact of adult-onset multiple sclerosis (MS) and its preceding prodromal subclinical changes on ICV in a large cohort of monozygotic twins clinically discordant for MS.</p></div><div><h3>Methods</h3><p>FSL software was used to derive ICV estimates from 3D-T1-weighted-3 T-MRI images by using an atlas scaling factor method. ICV were compared between clinically affected and healthy co-twins. All twins were compared to a large healthy reference cohort using standardized ICV z-scores. Mixed models assessed the impact of age at MS diagnosis on ICV.</p></div><div><h3>Results</h3><p>54 twin-pairs (108 individuals/80female/42.45 ± 11.98 years), 731 individuals (375 non-twins, 109/69 monozygotic/dizygotic twin-pairs; 398female/29.18 ± 0.13 years) and 35 healthy local individuals (20male/31.34 ± 1.53 years). In 45/54 (83 %) twin-pairs, both clinically affected and healthy co-twins showed negative ICV z-scores, i.e., ICVs lower than the average of the healthy reference cohort (M = -1.53 ± 0.11, P&lt;10⁻⁵). Younger age at MS diagnosis was strongly associated with lower ICVs (t = 3.76, P = 0.0003). Stratification of twin-pairs by age at MS diagnosis of the affected co-twin (≤30 versus &gt; 30 years) yielded lower ICVs in those twin pairs with younger age at diagnosis (P = 0.01). Comparison within individual twin-pairs identified lower ICVs in the MS-affected co-twins with younger age at diagnosis compared to their corresponding healthy co-twins (P = 0.003).</p></div><div><h3>Conclusion</h3><p>We offer for the first-time evidence for strong associations between adult-onset MS and lower ICV, which is more pronounced with younger age at diagnosis. This suggests pre-clinical alterations in early neurodevelopment associated with susceptibility to MS both in individuals with and without clinical manifestation of the disease.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"42 ","pages":"Article 103597"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000366/pdfft?md5=ef2c72f3140a65690cb972e3cddfdefc&pid=1-s2.0-S2213158224000366-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140191459","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":"Discourse- and lesion-based aphasia quotient estimation using machine learning","authors":"Nicholas Riccardi ,&nbsp;Satvik Nelakuditi ,&nbsp;Dirk B. den Ouden ,&nbsp;Chris Rorden ,&nbsp;Julius Fridriksson ,&nbsp;Rutvik H. Desai","doi":"10.1016/j.nicl.2024.103602","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103602","url":null,"abstract":"<div><p>Discourse is a fundamentally important aspect of communication, and discourse production provides a wealth of information about linguistic ability. Aphasia commonly affects, in multiple ways, the ability to produce discourse. Comprehensive aphasia assessments such as the Western Aphasia Battery-Revised (WAB-R) are time- and resource-intensive. We examined whether discourse measures can be used to estimate WAB-R Aphasia Quotient (AQ), and whether this can serve as an ecologically valid, less resource-intensive measure. We used features extracted from discourse tasks using three AphasiaBank prompts involving expositional (picture description), story narrative, and procedural discourse. These features were used to train a machine learning model to predict the WAB-R AQ. We also compared and supplemented the model with lesion location information from structural neuroimaging. We found that discourse-based models could estimate AQ well, and that they outperformed models based on lesion features. Addition of lesion features to the discourse features did not improve the performance of the discourse model substantially. Inspection of the most informative discourse features revealed that different prompt types taxed different aspects of language. These findings suggest that discourse can be used to estimate aphasia severity, and provide insight into the linguistic content elicited by different types of discourse prompts.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"42 ","pages":"Article 103602"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S221315822400041X/pdfft?md5=4d507c0a72cd4ec4f7c9d0ab8d1ee5c1&pid=1-s2.0-S221315822400041X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140536250","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":"Right superior frontal gyrus: A potential neuroimaging biomarker for predicting short-term efficacy in schizophrenia","authors":"Yongfeng Yang ,&nbsp;Xueyan Jin ,&nbsp;Yongjiang Xue ,&nbsp;Xue Li ,&nbsp;Yi Chen ,&nbsp;Ning Kang ,&nbsp;Wei Yan ,&nbsp;Peng Li ,&nbsp;Xiaoge Guo ,&nbsp;Binbin Luo ,&nbsp;Yan Zhang ,&nbsp;Qing Liu ,&nbsp;Han Shi ,&nbsp;Luwen Zhang ,&nbsp;Xi Su ,&nbsp;Bing Liu ,&nbsp;Lin Lu ,&nbsp;Luxian Lv ,&nbsp;Wenqiang Li","doi":"10.1016/j.nicl.2024.103603","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103603","url":null,"abstract":"<div><p>Antipsychotic drug treatment for schizophrenia (SZ) can alter brain structure and function, but it is unclear if specific regional changes are associated with treatment outcome. Therefore, we examined the effects of antipsychotic drug treatment on regional grey matter (GM) density, white matter (WM) density, and functional connectivity (FC) as well as associations between regional changes and treatment efficacy. SZ patients (n = 163) and health controls (HCs) (n = 131) were examined by structural magnetic resonance imaging (sMRI) at baseline, and a subset of SZ patients (n = 77) were re-examined after 8 weeks of second-generation antipsychotic treatment to assess changes in regional GM and WM density. In addition, 88 SZ patients and 81 HCs were examined by resting-state functional MRI (rs-fMRI) at baseline and the patients were re-examined post-treatment to examine FC changes. The Positive and Negative Syndrome Scale (PANSS) and MATRICS Consensus Cognitive Battery (MCCB) were applied to measure psychiatric symptoms and cognitive impairments in SZ. SZ patients were then stratified into response and non-response groups according to PANSS score change (≥50 % decrease or &lt;50 % decrease, respectively). The GM density of the right cingulate gyrus, WM density of the right superior frontal gyrus (SFG) plus 5 other WM tracts were reduced in the response group compared to the non-response group. The FC values between the right anterior cingulate and paracingulate gyrus and left thalamus were reduced in the entire SZ group (n = 88) after treatment, while FC between the right inferior temporal gyrus (ITG) and right medial superior frontal gyrus (SFGmed) was increased in the response group. There were no significant changes in regional FC among the non-response group after treatment and no correlations with symptom or cognition test scores. These findings suggest that the right SFG is a critical target of antipsychotic drugs and that WM density and FC alterations within this region could be used as potential indicators in predicting the treatment outcome of antipsychotics of SZ.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"42 ","pages":"Article 103603"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000421/pdfft?md5=de826b1fa71468ce4db71c398ea9df5e&pid=1-s2.0-S2213158224000421-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140536251","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":"The connection of motor improvement after deep brain stimulation in Parkinson’s disease and microstructural integrity of the substantia nigra and subthalamic nucleus","authors":"Marco G. Hermann ,&nbsp;Nils Schröter ,&nbsp;Alexander Rau ,&nbsp;Marco Reisert ,&nbsp;Nadja Jarc ,&nbsp;Michel Rijntjes ,&nbsp;Jonas A. Hosp ,&nbsp;Peter C. Reinacher ,&nbsp;Wolfgang H. Jost ,&nbsp;Horst Urbach ,&nbsp;Cornelius Weiller ,&nbsp;Volker A. Coenen ,&nbsp;Bastian E.A. Sajonz","doi":"10.1016/j.nicl.2024.103607","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103607","url":null,"abstract":"<div><h3>Background</h3><p>Nigrostriatal microstructural integrity has been suggested as a biomarker for levodopa response in Parkinson’s disease (PD), which is a strong predictor for motor response to deep brain stimulation (DBS) of the subthalamic nucleus (STN). This study aimed to explore the impact of microstructural integrity of the substantia nigra (SN), STN, and putamen on motor response to STN-DBS using diffusion microstructure imaging.</p></div><div><h3>Methods</h3><p>Data was collected from 23 PD patients (mean age 63 ± 7, 6 females) who underwent STN-DBS, had preoperative 3 T diffusion magnetic resonance imaging including multishell diffusion-weighted MRI with b-values of 1000 and 2000 s/mm² and records of motor improvement available.</p></div><div><h3>Results</h3><p>The association between a poorer DBS-response and increased free interstitial fluid showed notable effect sizes (rho &gt; |0.4|) in SN and STN, but not in putamen. However, this did not reach significance after Bonferroni correction and controlling for sex and age.</p></div><div><h3>Conclusion</h3><p>Microstructural integrity of SN and STN are potential biomarkers for the prediction of therapy efficacy following STN-DBS, but further studies are required to confirm these associations.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"42 ","pages":"Article 103607"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000469/pdfft?md5=dda85fff005551ad56bc475827a98f7a&pid=1-s2.0-S2213158224000469-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140622178","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":"Cortical and subcortical functional connectivity and cognitive impairment in Parkinson’s disease","authors":"Brooke E. Yeager ,&nbsp;Hunter P. Twedt ,&nbsp;Joel Bruss ,&nbsp;Jordan Schultz ,&nbsp;Nandakumar S. Narayanan","doi":"10.1016/j.nicl.2024.103610","DOIUrl":"https://doi.org/10.1016/j.nicl.2024.103610","url":null,"abstract":"<div><p>Parkinson’s disease (PD) is a neurodegenerative disease with cognitive as well as motor impairments. While much is known about the brain networks leading to motor impairments in PD, less is known about the brain networks contributing to cognitive impairments. Here, we leveraged resting-state functional magnetic resonance imaging (rs-fMRI) data from the Parkinson’s Progression Marker Initiative (PPMI) to examine network dysfunction in PD patients with cognitive impairment. We focus on canonical cortical networks linked to cognition, including the salience network (SAL), frontoparietal network (FPN), and default mode network (DMN), as well as a subcortical basal ganglia network (BGN). We used the Montreal Cognitive Assessment (MoCA) as a continuous index of coarse cognitive function in PD. In 82 PD patients, we found that lower MoCA scores were linked with lower intra-network connectivity of the FPN. We also found that lower MoCA scores were linked with lower inter-network connectivity between the SAL and the BGN, the SAL and the DMN, as well as the FPN and the DMN. These data elucidate the relationship of cortical and subcortical functional connectivity with cognitive impairments in PD.</p></div>","PeriodicalId":54359,"journal":{"name":"Neuroimage-Clinical","volume":"42 ","pages":"Article 103610"},"PeriodicalIF":4.2,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2213158224000494/pdfft?md5=2aa7eaf6d99324339de9b1b7ddf72594&pid=1-s2.0-S2213158224000494-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140650038","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}