Neuroscience最新文献_第7页

Altered static and dynamic functional network connectivity and combined Machine learning in asthma 哮喘中静态和动态功能网络连接的改变和联合机器学习

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-26 DOI: 10.1016/j.neuroscience.2025.04.038

KangMin Zhan , Hao Liu , LiXue Dai , DePing Zhang , Wei Liu , JiaYi Cui , Jun Wang

{"title":"Altered static and dynamic functional network connectivity and combined Machine learning in asthma","authors":"KangMin Zhan , Hao Liu , LiXue Dai , DePing Zhang , Wei Liu , JiaYi Cui , Jun Wang","doi":"10.1016/j.neuroscience.2025.04.038","DOIUrl":"10.1016/j.neuroscience.2025.04.038","url":null,"abstract":"<div><div>Asthma is a reversible disease characterized by airflow limitation and chronic airway inflammation. Previous neuroimaging studies have shown structural and functional abnormalities in the brains of individuals with asthma. However, earlier research has primarily focused on static changes in brain activity, neglecting the effects of asthma on the dynamic characteristics of functional brain networks. This study included 31 asthma patients and 31 healthy controls (HCs). Independent component analysis (ICA) was employed to extract changes in static functional network connectivity (sFNC) and dynamic functional network connectivity (dFNC) from the acquired data. Compared to the HC group, the overall functional connectivity (FC) within the visual network (VN) in asthma patients declined, whereas the FC in the auditory network (AN) and cerebellar network (CN) increased. Additionally, functional network connectivity (FNC) analysis revealed enhanced connectivity between the VN and AN, as well as between the VN and executive control network (ECN), while AN-AN functional connectivity was reduced. The dFNC was primarily characterized by abnormal connections among the default mode network (DMN), AN, and other brain regions. The support vector machine (SVM) model based on FC and FNC demonstrates excellent performance in distinguishing asthma patients from HCs. Our findings highlight significant alterations in functional connectivity within the sFNC and dFNC of asthma patients. These results enhance our understanding of the potential neurobiological mechanisms underlying emotional deficits and cognitive impairments in asthma patients. Furthermore, they provide additional neuroimaging evidence that may be helpful for researchers in identifying potential neurobiological markers to differentiate asthma patients from HCs.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 223-233"},"PeriodicalIF":2.9,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Echoes in the night: How sleep quality influences auditory health 夜间的回声：睡眠质量如何影响听觉健康。

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-26 DOI: 10.1016/j.neuroscience.2025.04.039

Peng Zhang , Xiaogang An , Runqin Yang , Meihao Qi , Zejun Gao , Xinyu Zhang , Ziqi Wu , Zeyu Zheng , Xinyu Dong , Wenyue Wang , Xiaocheng Wang , Dingjun Zha

{"title":"Echoes in the night: How sleep quality influences auditory health","authors":"Peng Zhang , Xiaogang An , Runqin Yang , Meihao Qi , Zejun Gao , Xinyu Zhang , Ziqi Wu , Zeyu Zheng , Xinyu Dong , Wenyue Wang , Xiaocheng Wang , Dingjun Zha","doi":"10.1016/j.neuroscience.2025.04.039","DOIUrl":"10.1016/j.neuroscience.2025.04.039","url":null,"abstract":"<div><div>The intricate relationship between sleep disorders and hearing loss emerges as a burgeoning field of scholarly inquiry. Numerous studies have illuminated a potential correlation between the two, affecting the quality of life and overall health of individuals. Hearing loss, or auditory impairment, serves as a critical indicator of physiological dysfunction, casting a pall over the daily existence and professional endeavors of those affected, potentially leading to irreversible deafness if left untreated. Sleep disorders may cause physical and psychological changes that further affect hearing, while auditory dysfunction may detrimentally impact sleep experienced by individuals. Although certain studies have failed to find a direct link between sleep duration and hearing loss, it is evident that sleep-related issues do increase the risk of hearing loss. Thus, understanding the relationship between sleep disorders and hearing loss, alongside the underlying mechanisms, will help establish interventions aimed at enhancing sleep quality and safeguarding auditory health. This systematic review endeavors to elucidate the correlation between sleep disorders and hearing loss, offering valuable insights and guidance for future basic research and clinical applications.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 200-216"},"PeriodicalIF":2.9,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143991196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From quiescence to self-sustained activity: How astrocytes reshape neural dynamics 从静止到自我持续活动：星形胶质细胞如何重塑神经动力学

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-25 DOI: 10.1016/j.neuroscience.2025.04.009

Den Whilrex Garcia , Sabir Jacquir

{"title":"From quiescence to self-sustained activity: How astrocytes reshape neural dynamics","authors":"Den Whilrex Garcia , Sabir Jacquir","doi":"10.1016/j.neuroscience.2025.04.009","DOIUrl":"10.1016/j.neuroscience.2025.04.009","url":null,"abstract":"<div><div>Astrocytes are currently gaining attention from the neuroscience community due to their contribution to a multitude of functions, which includes but are not limited to their ability to change the neuron’s spiking frequency, their capacity to alter neuron’s firing activity, and their involvement in memory formation and synaptic plasticity regulation. To date, many computational models describing the dynamics of astrocytes, together with their complex interaction with neurons, were proposed, however, these could still be improved since the exploration of their functions and mechanisms was way later than neurons. Hence, in this paper, investigation of the steady state behavior of the neuron-astrocyte interaction through a presentation of phase plane analysis and one parameter bifurcation were primarily performed. Adaptive Exponential Integrate-and-Fire model was utilized to describe the firing dynamics of the neuron while the model from the work of Postnov and collaborators was used to describe the calcium dynamics of the astrocyte. The findings demonstrate that astrocytic modulation can significantly shape neuronal activity, including initiating spikes, inducing self-sustained oscillations, and exerting both inhibitory and excitatory effects depending on synaptic strength. These highlight the crucial role that the contribution of astrocytes to the synapse plays in regulating neuronal activity and producing a range of neuronal firing behaviors within the neuron-astrocyte ensemble. They may impact neuronal synchronization, an attribute of several neurological illnesses, including epilepsy, and, on the other hand, may enhance brain information processing.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 182-198"},"PeriodicalIF":2.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143908056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review of multimodal fusion–based deep learning for Alzheimer’s disease 基于多模态融合的深度学习治疗阿尔茨海默病的研究进展

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-24 DOI: 10.1016/j.neuroscience.2025.04.035

Rong Zhang , Jinhua Sheng , Qiao Zhang , Junmei Wang , Binbing Wang

{"title":"A review of multimodal fusion–based deep learning for Alzheimer’s disease","authors":"Rong Zhang , Jinhua Sheng , Qiao Zhang , Junmei Wang , Binbing Wang","doi":"10.1016/j.neuroscience.2025.04.035","DOIUrl":"10.1016/j.neuroscience.2025.04.035","url":null,"abstract":"<div><div>Alzheimer’s Disease (AD) as one of the most prevalent neurodegenerative disorders worldwide, characterized by significant memory and cognitive decline in its later stages, severely impacting daily lives. Consequently, early diagnosis and accurate assessment are crucial for delaying disease progression. In recent years, multimodal imaging has gained widespread adoption in AD diagnosis and research, particularly the combined use of Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). The complementarity of these modalities in structural and metabolic information offers a unique advantage for comprehensive disease understanding and precise diagnosis. With the rapid advancement of deep learning techniques, efficient fusion of MRI and PET multimodal data has emerged as a prominent research focus. This review systematically surveys the latest advancements in deep learning-based multimodal fusion of MRI and PET images for AD research, with a particular focus on studies published in the past five years (2021–2025). It first introduces the main sources of AD-related data, along with data preprocessing and feature extraction methods. Then, it summarizes performance metrics and multimodal fusion techniques. Next, it explores the application of various deep learning models and their variants in multimodal fusion tasks. Finally, it analyzes the key challenges currently faced in the field, including data scarcity and imbalance, inter-institutional data heterogeneity, etc., and discusses potential solutions and future research directions. This review aims to provide systematic guidance for researchers in the field of MRI and PET multimodal fusion, with the ultimate goal of advancing the development of early AD diagnosis and intervention strategies.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 80-95"},"PeriodicalIF":2.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Editorial - Philippe Ascher (1936-2022). 编辑：菲利普·阿舍尔（1936-2022）。

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-24 DOI: 10.1016/j.neuroscience.2025.04.040

Jon W Johnson, Pierre Paoletti

引用次数: 0

Comment on “The efficacy of early rehabilitation in enhancing vestibular compensation in mice with unilateral vestibular neurectomy by promoting cellular proliferation and glial reaction” “早期康复通过促进细胞增殖和神经胶质反应增强单侧前庭神经切除小鼠前庭代偿的疗效”一文评论

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-24 DOI: 10.1016/j.neuroscience.2025.04.022

Yunxiao Zheng , Linglin Zhou , Yujie Liu , Zixuan Yun , Shuhan Huang , Sulin Zhang , Jun Wang

引用次数: 0

Enhanced EEG-based Alzheimer’s disease detection using synchrosqueezing transform and deep transfer learning 基于同步压缩变换和深度迁移学习的脑电图增强阿尔茨海默病检测

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-24 DOI: 10.1016/j.neuroscience.2025.04.041

Shraddha Jain, Rajeev Srivastava

{"title":"Enhanced EEG-based Alzheimer’s disease detection using synchrosqueezing transform and deep transfer learning","authors":"Shraddha Jain, Rajeev Srivastava","doi":"10.1016/j.neuroscience.2025.04.041","DOIUrl":"10.1016/j.neuroscience.2025.04.041","url":null,"abstract":"<div><div>The most prevalent type of dementia and a progressive neurodegenerative disease, Alzheimer’s disease has a major influence on day-to-day functioning due to memory loss, cognitive decline, and behavioral problems. By using synchrosqueezing representations of EEG signals classified by fine-tuned pre-trained convolutional neural networks, this paper presents an EEG-based classification model for Alzheimer’s detection. EEG signals are converted into image patterns with time-varying oscillatory elements using the synchrosqueezing technique. The classification performances of the pre-trained deep architectures (SqueezeNet, ResNet, InceptionV3, and MobileNet) using these EEG images are compared. The P3 and T5 channels are the most effective for detecting Alzheimer’s disease, according to independent experiments done on EEG signals obtained from 19 scalp electrodes. With classification accuracies of 98.50% and 97.57% for the P3 and T5 channels, respectively, InceptionV3 performs the best. The study also emphasizes that the parietal and temporal lobes’ typical disease dynamics are primarily reflected in the electrical activity of the cerebral cortex.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 105-117"},"PeriodicalIF":2.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distinct patterns of cognitive enhancement: The role of motor experience in domain-specific and general cognitive functions 认知增强的不同模式：运动经验在特定领域和一般认知功能中的作用

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-22 DOI: 10.1016/j.neuroscience.2025.04.034

Yuying Guan , Yingying Wang , Chenglin Zhou , Jian Wang , Yingzhi Lu

{"title":"Distinct patterns of cognitive enhancement: The role of motor experience in domain-specific and general cognitive functions","authors":"Yuying Guan , Yingying Wang , Chenglin Zhou , Jian Wang , Yingzhi Lu","doi":"10.1016/j.neuroscience.2025.04.034","DOIUrl":"10.1016/j.neuroscience.2025.04.034","url":null,"abstract":"<div><div>This study investigated the impact of motor experience on domain-specific anticipatory skills and domain-general cognitive functions in table tennis players across different expertise levels. Participants were divided into control, expert, and elite groups and assessed using a modified Posner paradigm and a go/no-go task, combined with electroencephalography and multivariate pattern analysis. Accuracy and reaction times were measured under varying task difficulties. The results indicated that elite athletes exhibited superior accuracy, especially in challenging conditions, reflecting their advanced cognitive performance. Electroencephalography analysis revealed a non-linear relationship between motor experience and the mu rhythm, suggesting that elite athletes use more efficient neural processing during anticipation. Conversely, P3 amplitude, related to domain-general cognitive functions, showed a linear improvement, with experts outperforming controls. However, this improvement plateaued at the elite level. Overall, the findings indicate that motor expertise enhances both domain-specific and domain-general cognitive functions through distinct neural adaptation patterns, underscoring the specialized cognitive strategies of elite athletes.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 118-128"},"PeriodicalIF":2.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-intensity transcranial ultrasound stimulation and its regulatory effect on pain 低强度经颅超声刺激及其对疼痛的调节作用

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-22 DOI: 10.1016/j.neuroscience.2025.04.033

Yuxi Liu , Xinyuan Tian , Long Chen , Chenxu Xiao , Xinyang Huang , Jing Wang

{"title":"Low-intensity transcranial ultrasound stimulation and its regulatory effect on pain","authors":"Yuxi Liu , Xinyuan Tian , Long Chen , Chenxu Xiao , Xinyang Huang , Jing Wang","doi":"10.1016/j.neuroscience.2025.04.033","DOIUrl":"10.1016/j.neuroscience.2025.04.033","url":null,"abstract":"<div><div>Transcranial ultrasound stimulation is an emerging non-invasive neuromodulation technology with the advantages of deep tissue penetration, high spatial resolution, and minimal side effects. Low intensity transcranial ultrasound stimulation (LITUS) has been shownto bea promising neuromodulation treatment for psychiatric and neurological disorders. Notably, significant progress has been made recently in both the application of LITUS in pain disorders and the elucidation of its analgesic mechanisms. This review provides an overview of LITUS and its state-of-the-art mechanisms, including cavitation, mechanical, and thermal effects. We summarize studies spanning from animal models to human trials, highlighting the analgesic effects of transcranial ultrasound stimulation on pain-related neural pathways. Furthermore, we explore potential analgesic mechanisms, such as the suppression of neural activity in the ascending pain pathway and other associated processes.Lastly, we discuss the potential of LITUS for future integrative treatments of chronic pain and psychomotor disorders, as well as its broader therapeutic applications.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 59-68"},"PeriodicalIF":2.9,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Association between social networking and dementia: A systematic review of observational studies 社交网络与痴呆之间的关系：观察性研究的系统回顾

IF 2.9 3区医学

Neuroscience Pub Date : 2025-04-19 DOI: 10.1016/j.neuroscience.2025.04.019

Faheem Arshad , Deenadayalan Boopalan , Sonali Arora , Howard J. Rosen , Suvarna Alladi

{"title":"Association between social networking and dementia: A systematic review of observational studies","authors":"Faheem Arshad , Deenadayalan Boopalan , Sonali Arora , Howard J. Rosen , Suvarna Alladi","doi":"10.1016/j.neuroscience.2025.04.019","DOIUrl":"10.1016/j.neuroscience.2025.04.019","url":null,"abstract":"<div><div>Poor social networking (SN) is associated with the development of cognitive impairment and dementia. Our objective was to perform a systematic review of the evidence on the associations between SN and the incidence of dementia, disease pathology, level of cognition, and brain structure. Bibliographic databases (PubMed, Embase, Cochrane Library, CINAHL) and additional sources (Open Gray, Google Scholar, manual searches) were screened through November 30, 2024. Observational studies assessing the SN-dementia link were selected, with data extraction and bias evaluation performed independently by two authors via the PRISMA checklist and Newcastle-Ottawa Scale. We included 17 observational studies (355 initially screened), involving 20,678 participants aged 40–90 years, published between 2000 and 2024. Studies have utilized various SN assessment tools and cognitive measures, including the MMSE and MoCA. Poor SN was consistently associated with increased risks of dementia, cognitive decline, and severe disease pathology, particularly Alzheimer’s disease (AD). Larger and more integrated SNs were linked to better cognitive resilience and lower conversion rates from mild cognitive impairment (MCI) to dementia. One study on frontotemporal dementia (FTD) indicated that the SN might mitigate cortical atrophy. SN size and density are also correlated with favorable structural brain changes, such as greater gray matter volume. This review highlights SN as a modifiable factor in dementia risk. However, its role in non-AD dementia, particularly FTD, requires further investigation. Future research should include more culturally diverse and methodologically robust studies. Randomized controlled trials will be important to determine whether intervention to expand social networks decreases incidence of progression of dementia.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 138-148"},"PeriodicalIF":2.9,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0