Frontiers in Aging Neuroscience最新文献

{"title":"Role of right dorsolateral prefrontal cortex-left primary motor cortex interaction in motor inhibition in Parkinson's disease.","authors":"Zhen Wang, Jianing Wei, Yuyu Song, Yuting Li, Yin Wu, Robert Chen, Zhen Wang, Jian Zhang, Xiaoyin Tan, Ke Liu","doi":"10.3389/fnagi.2025.1524755","DOIUrl":"https://doi.org/10.3389/fnagi.2025.1524755","url":null,"abstract":"<p><strong>Background: </strong>Impaired motor inhibition in Parkinson's disease (PD) is associated with functional alterations in the frontal-basal ganglia (BG) neural circuits. The right dorsolateral prefrontal cortex (DLPFC), pre-supplementary motor area (pre-SMA), and primary motor cortex (M1) play key roles in regulating this inhibition. However, the changes in interhemispheric interactions during motor inhibition in PD have not been clearly defined.</p><p><strong>Methods: </strong>We used dual-site paired-pulse transcranial magnetic stimulation (ppTMS) to examine the interactions between the right DLPFC and pre-SMA and the left M1 in 30 patients with early-stage PD and 30 age-matched healthy controls (HC) during both resting and active conditions, specifically while performing a stop-signal task (SST).</p><p><strong>Results: </strong>Stop-signal reaction times (SSRT) were significantly longer in PD patients compared to HC. The right DLPFC-left M1 interaction, at both short- and long-latency intervals, showed enhanced inhibition in PD following the stop-signal. In PD patients, SSRT was correlated with the inhibition of the right DLPFC-left M1 interaction, with stronger inhibition associated with shorter SSRT.</p><p><strong>Conclusion: </strong>The deficit in reactive inhibition observed in PD is linked to an abnormal modulation of the right DLPFC-left M1 interaction during the stopping process.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1524755"},"PeriodicalIF":4.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919838/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663136","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":"Characteristics of cerebral glucose metabolism in patients with cognitive impairment in multiple system atrophy.","authors":"Bin Chen, Lingchao Li, Lin Bai, Min Zhao, Ying Chang, Shi Gao","doi":"10.3389/fnagi.2025.1520515","DOIUrl":"https://doi.org/10.3389/fnagi.2025.1520515","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to conduct ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) positron emission tomography (PET) to investigate the metabolic changes in brain regions associated with cognitive decline in patients with multiple system atrophy (MSA) and to assess the diagnostic efficacy of ¹⁸F-FDG PET imaging for evaluating the cognitive status of MSA patients.</p><p><strong>Methods: </strong>This study included 44 MSA patients (MSA group) and 30 healthy controls (HC group) who underwent brain ¹⁸F-FDG PET imaging. All patients were subjected to the Mini-Mental State Examination and categorized into the MSA with normal cognition (MSA-NC) and MSA with cognitive impairment (MSA-CI) groups. Statistical parametric mapping (version 12) was used to analyze PET images and compare the differences in brain metabolism between the MSA and HC groups. The PET images of MSA-CI and MSA-NC patients were compared to analyze the metabolic characteristics, and the regional cerebral metabolic rate of glucose (rCMRglc) was calculated for different brain regions. Receiver operating characteristic (ROC) curves were used to analyze the ability of the rCMRglc of different brain regions to assess the cognitive status of MSA patients.</p><p><strong>Results: </strong>Compared with the HC group, the MSA group showed diffuse reductions in glucose metabolism in the cerebellar regions, decreased metabolism in specific areas of the left inferior parietal lobule, right putamen, and left middle temporal gyrus, and increased metabolism in the left postcentral gyrus, right postcentral gyrus, left precuneus. Compared with the MSA-NC group, the MSA-CI group exhibited decreased metabolism in the right superior frontal gyrus and right superior parietal lobule. The rCMRglc value of the right superior frontal gyrus (Montreal Neurological Institute coordinates: 18, -6, 70) showed better diagnostic efficacy for identifying MSA-CI, with an area under the ROC curve of 0.829 (95%CI = 0.696-0.963), sensitivity of 84.6% (95%CI = 66.5-93.9%), and specificity of 83.3% (95%CI = 60.8-94.2%).</p><p><strong>Conclusion: </strong>Compared with MSA-NC patients, the MSA-CI patients show decreased metabolism in the right superior frontal gyrus and right superior parietal lobule. The rCMRglc value of the right superior frontal gyrus may be a potential molecular imaging biomarker for diagnosing MSA-CI.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1520515"},"PeriodicalIF":4.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920113/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662946","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":"Comparing the efficacy of physical therapy interventions in Alzheimer's disease: a network meta-analysis.","authors":"Jiawen Wu, Yunfei Teng, Yaming Xie, Shuangtao Xing, Songsong Zhi","doi":"10.3389/fnagi.2025.1541287","DOIUrl":"https://doi.org/10.3389/fnagi.2025.1541287","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is a progressive and debilitating neurodegenerative disorder that significantly impairs cognitive function and daily living abilities, representing a major public health challenge. Given the multifactorial nature of AD, effective therapeutic interventions targeting both cognitive and functional decline are critical. This study aimed to conduct a comprehensive comparison of the therapeutic effects of music therapy, acupuncture therapy, game therapy, cognitive training therapy, and exercise therapy on AD patients through a network meta-analysis. Randomized controlled trials (RCTs) published up until 2024 were systematically retrieved from multiple databases. Data were extracted, including the first author, publication year, country, total sample size, mean participant age, type and duration of intervention, and outcome measures such as the Mini-Mental State Examination, Activities of Daily Living, and Alzheimer's Disease Assessment Scale-Cognitive Subscale. Statistical analyses were performed using the RevMan 5.3 and Stata 17 software. The analysis included 52 RCTs with a total of 3,409 participants, offering a strong dataset. The results indicated that game therapy produced statistically significant improvements in mental state and daily living abilities, while acupuncture therapy yielded the most pronounced improvements in cognitive function among AD patients. Notably, the comparative efficacy of these interventions suggests that game therapy may offer short-term benefits, particularly for mental health and functional abilities, whereas acupuncture therapy demonstrated superior long-term cognitive enhancements. In conclusion, tailored physical and cognitive interventions such as game therapy and acupuncture therapy may hold significant potential in optimizing treatment outcomes for AD patients, with implications for both clinical practice and future research.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1541287"},"PeriodicalIF":4.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919892/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663134","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":"Cognitive outcomes after extracranial-intracranial bypass surgery in elderly patients diagnosed with atherosclerotic cerebral steno-occlusive artery disease.","authors":"Yu Duan, Jian Li, Xin Zhang, Shihong Li, Qiliang Chai, Yingying Zhang, Guohui Huang, Ziwei Xu, Zhuyu Li, Renling Mao, Dongwei Dai","doi":"10.3389/fnagi.2025.1548319","DOIUrl":"https://doi.org/10.3389/fnagi.2025.1548319","url":null,"abstract":"<p><strong>Background: </strong>The safety and clinical effectiveness of extracranial-intracranial (EC-IC) bypass surgery in elderly patients with atherosclerotic internal carotid artery and/or middle cerebral artery steno-occlusive (ACMSO) disease remain ambiguous. Here, we analyzed our experience of EC-IC bypass surgery to evaluate its clinical safety and effect on the cognitive function for elderly patients with ACMSO.</p><p><strong>Methods: </strong>This retrospective study enrolled patients >60 years of age diagnosed with ACMSO who underwent EC-IC bypass surgery at the authors' center between January 2018 and January 2021. Indications for bypass surgery included symptomatic ACMSO defined by cerebral angiography and evidence of relative hypoperfusion in the territories of steno-occlusive arteries based on computed tomography perfusion (CTP) neuroimaging. All patients underwent the Montreal Cognitive Assessment preoperatively and 2 years after bypass surgery. Clinical data, such as the National Institute of Health Stroke Scale and cognitive function scores, and CTP parameters were retrospectively analyzed.</p><p><strong>Results: </strong>The study cohort ultimately included data from 65 patients (60-68 years of age; median age, 66 years) who underwent 82 bypass surgeries. The patency rate of bridge arteries was 100% on intraoperative fluoroscopy and 95.0% (76/80) according to cerebral angiography at the last follow-up. The perioperative stroke rate was 1.54 % and the mortality rate was 3.08% in the 2nd year of follow-up. Compared with preoperative data, the mismatch volume of CTP was reduced (<i>P</i> < 0.001), and the Montreal Cognitive Assessment score significantly increased (<i>P</i> < 0.001) 2 years after bypass surgery. Forty patients in the cognitive improvement group had a higher educational level (<i>P</i> = 0.020), shorter course of disease (<i>P</i> = 0.041), shorter mean transit time (MTT) (<i>P</i> < 0.001), and shorter time to peak value (<i>P</i> = 0.015) on CTP, as determined by single-factor analysis before bypass, compared with those in the inactive group. Based on multivariate logistic regression analysis, a shorter preoperative MTT was an independent clinical factor for cognitive improvement after bypass (odds ratio 0.452 [95% confidence interval 0.082-0.760]; <i>P</i> = 0.003).</p><p><strong>Conclusion: </strong>EC-IC bypass surgery was safe and improved cognitive function in elderly patients diagnosed with ACMSO. Reversible cerebral perfusion function is one of the better prognoses, which needs to be confirmed in future study.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1548319"},"PeriodicalIF":4.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920139/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663133","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":"Editorial: Alzheimer's disease: new insights into biomechanisms and therapeutic target.","authors":"Yang Zhang, Jie Zhu, Maoli Duan","doi":"10.3389/fnagi.2025.1569412","DOIUrl":"https://doi.org/10.3389/fnagi.2025.1569412","url":null,"abstract":"","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1569412"},"PeriodicalIF":4.1,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920186/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663135","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":"Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer's disease spectrum: demonstration analyses in the COMPASS-ND study.","authors":"Harrison Fah, Linzy Bohn, Russell Greiner, Roger A Dixon","doi":"10.3389/fnagi.2025.1542514","DOIUrl":"10.3389/fnagi.2025.1542514","url":null,"abstract":"<p><strong>Background: </strong>Research in aging, impairment, and Alzheimer's disease (AD) often requires powerful computational models for discriminating between clinical cohorts and identifying early biomarkers and key risk or protective factors. Machine Learning (ML) approaches represent a diverse set of data-driven tools for performing such tasks in big or complex datasets. We present systematic demonstration analyses to compare seven frequently used ML classifier models and two eXplainable Artificial Intelligence (XAI) techniques on multiple performance metrics for a common neurodegenerative disease dataset. The aim is to identify and characterize the best performing ML and XAI algorithms for the present data.</p><p><strong>Method: </strong>We accessed a Canadian Consortium on Neurodegeneration in Aging dataset featuring four well-characterized cohorts: Cognitively Unimpaired (CU), Subjective Cognitive Impairment (SCI), Mild Cognitive Impairment (MCI), and AD (<i>N</i> = 255). All participants contributed 102 multi-modal biomarkers and risk factors. Seven ML algorithms were compared along six performance metrics in discriminating between cohorts. Two XAI algorithms were compared using five performance and five similarity metrics.</p><p><strong>Results: </strong>Although all ML models performed relatively well in the extreme-cohort comparison (CU/AD), the Super Learner (SL), Random Forest (RF) and Gradient-Boosted trees (GB) algorithms excelled in the challenging near-cohort comparisons (CU/SCI). For the XAI interpretation comparison, SHapley Additive exPlanations (SHAP) generally outperformed Local Interpretable Model agnostic Explanation (LIME) in key performance properties.</p><p><strong>Conclusion: </strong>The ML results indicate that two tree-based methods (RF and GB) are reliable and effective as initial models for classification tasks involving discrete clinical aging and neurodegeneration data. In the XAI phase, SHAP performed better than LIME due to lower computational time (when applied to RF and GB) and incorporation of feature interactions, leading to more reliable results.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1542514"},"PeriodicalIF":4.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913811/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656744","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":"Sex-related differences in genetically determined Alzheimer's disease.","authors":"Laura Del Hoyo Soriano, Olivia Wagemann, Alexandre Bejanin, Johannes Levin, Juan Fortea","doi":"10.3389/fnagi.2025.1522434","DOIUrl":"10.3389/fnagi.2025.1522434","url":null,"abstract":"<p><p>We reviewed the literature on sex differences in genetically determined Alzheimer's disease (AD), focusing on autosomal dominant AD (ADAD), Down syndrome-associated AD (DSAD), and <i>APOE4</i> homozygosity, particularly regarding disease penetrance, symptom onset and clinical progression, and trajectories for markers of amyloidosis (A), tau pathology (T) and neurodegeneration (N). Data suggests that sex differences in disease penetrance, symptom onset, and AT(N) biomarker trajectories are typically subtle for genetically determined AD populations. Noteworthy exceptions, such as increased neurodegeneration in later stages of the disease in females while similar cognitive outcomes, suggest a potential differential cognitive reserve that warrants further investigation. Additionally, the interaction between <i>APOE</i> genotype and sex reveals complex and multifaceted effects in DSAD, with potential implications for ADAD that remain underexplored. The smaller sex differences observed compared to sporadic AD offer insights into the different underlying disease mechanisms in genetically determined AD populations. Future research should prioritize sex-specific investigations in genetically determined AD, focusing on refining methodologies. This includes prioritizing longitudinal designs, adjustment for key confounders, and adherence to sex-specific guidelines.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1522434"},"PeriodicalIF":4.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656835","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":"Sex, senescence, senolytics, and cognition.","authors":"Thomas C Foster, Ashok Kumar","doi":"10.3389/fnagi.2025.1555872","DOIUrl":"10.3389/fnagi.2025.1555872","url":null,"abstract":"<p><p>This review focuses on sexual dimorphism in cellular senescence and senolytic treatment in relation to brain health and age-related cognitive decline. The stressors of aging, DNA damage, inflammation, and oxidative stress induce cell senescence, a hallmark of aging. Senescent cells change their function and molecular profile and are primed to release pro-inflammatory cytokines. The functional changes include the activation of cell signals to prevent cell death. The release of pro-inflammatory cytokines from peripheral senescent cells during middle age induces senescence of neighbor cells and heightens the level of systemic inflammation, contributing to neuroinflammation. In response to neuroinflammation and oxidative stress, some neurons alter their physiology, decreasing neuronal excitability and synaptic transmission. Senescent neurophysiology is protective against cell death due to excitotoxicity, at the expense of a loss of normal cell function, contributing to age-related cognitive decline. The level of peripheral cell senescence and systemic inflammation may underlie sexual dimorphism in the prevalence, symptoms, and pathogenesis of age-related diseases, including neurodegenerative diseases. Sex differences have been observed for senescence of astrocytes, microglia, and peripheral cells, including those involved in innate and adaptive immune responses. Interventions that remove senescent cells, such as senolytic drugs, can reduce or ameliorate some of the aging-related loss of function. Similarities and differences in senolytic responses of males and females depend on the system examined, the treatment regimen, the level of senescent cell burden, and the age when treatment is initiated. Estrogen impacts several of these factors and influences the transcription of genes promoting growth, proliferation, and cell survival programs in a manner opposite that of senolytic drugs. In addition, estrogen has anti-aging effects that are independent of cell senescence, including rapidly modifying senescent neurophysiology. Thus, it is important to recognize that, in addition to sex differences in cell senescence, there are other sexually dimorphic mechanisms that contribute to the aging process. The results indicate that senolytics interact with fundamental biology, including sex hormones.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1555872"},"PeriodicalIF":4.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656865","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":"Editorial: Contribution of artificial intelligence-based tools to the study of Parkinson's disease and other movement disorders.","authors":"Matilde Otero-Losada, Santiago Perez Lloret, Francisco Capani, Cristian Falup-Pecurariu","doi":"10.3389/fnagi.2025.1567706","DOIUrl":"10.3389/fnagi.2025.1567706","url":null,"abstract":"","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1567706"},"PeriodicalIF":4.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11914123/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656775","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":"Extreme signal amplitude events in neuromagnetic oscillations reveal brain aging processing across adulthood.","authors":"Vasily A Vakorin, Hayyan Liaqat, Sam M Doesburg, Sylvain Moreno","doi":"10.3389/fnagi.2025.1498400","DOIUrl":"10.3389/fnagi.2025.1498400","url":null,"abstract":"<p><strong>Introduction: </strong>Neurophysiological activity, as noninvasively captured by electro- and magnetoencephalography (EEG and MEG), demonstrates complex temporal fluctuations approximated by typical variations around the mean values and rare events with large amplitude. The statistical properties of these extreme and rare events in neurodynamics may reflect the limits or capacity of the brain as a complex system in information processing. However, the exact role of these extreme neurodynamic events in ageing, and their spectral and spatial patterns remain elusive. Our study hypothesized that ageing would be associated with frequency specific alterations in the brain's tendency to synchronize large ensembles of neurons and to produce extreme events.</p><p><strong>Methods: </strong>To identify spatio-spectral patterns of these age-related changes in extreme neurodynamics, we examined resting-state MEG recordings from a large cohort of adults (<i>n</i> = 645), aged 18 to 89. We characterized extreme neurodynamics by computing sample skewness and kurtosis, and used Partial Least Squares to test for differences across age groups.</p><p><strong>Results: </strong>Our findings revealed that each canonical frequency, from theta to lower gamma, displayed unique spatial patterns of either age-related increases, decreases, or both in the brain's tendency to produce extreme neuromagnetic events.</p><p><strong>Discussion: </strong>Our study introduces a novel neuroimaging framework for understanding ageing through the extreme and rare events of the neurophysiological activity, offering more sensitivity than typical comparative approaches.</p>","PeriodicalId":12450,"journal":{"name":"Frontiers in Aging Neuroscience","volume":"17 ","pages":"1498400"},"PeriodicalIF":4.1,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11914120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143656788","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}