惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

B
Blog RSS Feed
云风的 BLOG
云风的 BLOG
爱范儿
爱范儿
WordPress大学
WordPress大学
博客园 - 三生石上(FineUI控件)
阮一峰的网络日志
阮一峰的网络日志
Martin Fowler
Martin Fowler
C
Check Point Blog
MongoDB | Blog
MongoDB | Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
人人都是产品经理
人人都是产品经理
博客园 - Franky
罗磊的独立博客
博客园 - 司徒正美
S
SegmentFault 最新的问题
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
V
V2EX
Last Week in AI
Last Week in AI
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
博客园 - 聂微东
大猫的无限游戏
大猫的无限游戏
博客园 - 叶小钗
小众软件
小众软件
美团技术团队

cs.SI updates on arXiv.org

Hiding in Plain Sight: Finding MAHA on Reddit Prism: Structural Symmetry Scanning via Duality-Constrained Laplacian Projection MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling Algorithmic Cultivation: How Social Media Feeds Shape User Language Universal Dynamics of Punctuated Progress AI-Mediated Communication Can Steer Collective Opinion CitePrism: Human-in-the-Loop AI for Citation Auditing and Editorial Integrity Explainable Detection of Depression Status Shifts from User Digital Traces Can Visual Mamba Improve AI-Generated Image Detection? An In-Depth Investigation ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles Humanwashing -- It Should Leave You Feeling Dirty When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue Linking Extreme Discourse to Structural Polarization in Signed Interaction Networks Predicting Channel Closures in the Lightning Network with Machine Learning Latent Causal Void: Explicit Missing-Context Reconstruction for Misinformation Detection Predictive Maps of Multi-Agent Reasoning: A Successor-Representation Spectrum for LLM Communication Topologies Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence When Can Digital Personas Reliably Approximate Human Survey Findings? RAwR: Role-Aware Rewiring via Approximate Equitable Partition GravityGraphSAGE: Link Prediction in Directed Attributed Graphs Structure-Centric Graph Foundation Model via Geometric Bases Attention-based graph neural networks: a survey When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge Scalable inference of spatial regions and temporal signatures from time series Can LLMs Emulate Human Belief Dynamics? Predicting Post Virality with Temporal Cross-Attention over Trend Signals H3: A Healthcare Three-Hop Index for Physician Referral Network Prediction Dynamic Graph with Similarity-Aware Attention Graph Neural Network for Recommender Systems Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
Reduced Efficiency in the Attentional Network During Dist...
Jatupong Oboun, Piyanon Charoenpoonpanich, Anna Raksapatcharawon · 2025-07-02 · via cs.SI updates on arXiv.org

Mild Cognitive Impairment (MCI) is a critical transitional stage between normal cognitive aging and dementia, making its early detection essential. This study investigates the neural mechanisms of distractor suppression in MCI patients using EEG and behavioral data during an attention-cueing Eriksen flanker task. A cohort of 56 MCIs and 26 healthy controls (HCs) performed tasks with congruent and incongruent stimuli of varying saliency levels. During these tasks, EEG data were analyzed for alpha band coherence's functional connectivity, focusing on Global Efficiency (GE), while Reaction Time (RT) and Hit Rate (HR) were also collected. Our findings reveal significant interactions between congruency, saliency, and cognitive status on GE, RT, and HR. In HCs, congruent conditions resulted in higher GE (p = 0.0114, multivariate t-distribution correction, MVT), faster RTs (p < 0.0001, MVT), and higher HRs (p < 0.0001, MVT) compared to incongruent conditions. HCs also showed increased GE in salient conditions for incongruent trials (p = 0.0406, MVT). MCIs exhibited benefits from congruent conditions with shorter RTs and higher HRs (both p < 0.0001, MVT) compared to incongruent conditions but showed reduced adaptability in GE, with no significant GE differences between conditions. These results highlight the potential of alpha band coherence and GE as early markers for cognitive impairment. By integrating GE, RT, and HR, this study provides insights into the interplay between neural efficiency, processing speed, and task accuracy. This approach offers valuable insights into cognitive load management and interference effects, indicating benefits for interventions aimed at improving attentional control and processing speed in MCIs.