Linking brain entropy to molecular and cellular architecture in psychosis [0.03%]
精神疾病中大脑熵与分子和细胞结构的关系研究
Qiang Li,Jingyu Liu,Vince D Calhoun
Qiang Li
Brain entropy reflects the complexity of intrinsic activity and has been linked to both cognitive function and psychiatric disorders. Yet its connection to the brain's neurochemical and cellular architecture remains poorly understood. By in...
Image-Based Meta- and Mega-Analysis (IBMMA): A Unified Framework for Large-Scale, Multi-Site, Neuroimaging Data Analysis [0.03%]
基于图像的元分析和巨量分析（IBMMA）：大规模、多站点神经影像数据分析的统一框架
Nick Steele,Ashley A Huggins,Rajendra A Morey et al.
Nick Steele et al.
The increasing scale and complexity of neuroimaging datasets aggregated from multiple study sites present substantial analytic challenges, as existing statistical analysis tools struggle to handle missing voxel-data, suffer from limited com...
Zakaria Djebbara,Dylan Chau Huynh,Aleksandrs Koselevs et al.
Zakaria Djebbara et al.
Human attention is typically studied under static laboratory conditions, yet everyday cognition unfolds during active interactions with the built environment. Here we show that architectural features such as corners not only cue spatial att...
Human neural synergy when combining stevia with a flavour modifier and the neural effects of sucrose vs stevia [0.03%]
甜菊糖与风味改良剂结合时的人类神经协同作用及其与蔗糖相比的神经效果
Hee-Kyoung Ko,Jingang Shi,Thomas Eidenberger et al.
Hee-Kyoung Ko et al.
There is a drive to increase the acceptability of sweeteners such as stevia in foods and reduce any off tastes or bitterness. One way to do this is to add flavour modifiers. We have shown previously that adding a flavour modifier to the art...
Quantitative Ultrashort T2 Components Imaging in the Brain using Variable Flip Angle Balanced Steady State Free Precession Ultrashort Echo Time MRI [0.03%]
利用稳态自由进动极短回波时间磁共振成像测量脑内极短T2成分的量化研究
Xin Shen,Ari Green,Roland G Henry et al.
Xin Shen et al.
Purpose: This study aimed to develop a new method for quantitative measurement of ultrashort T2 (uT2) components in the brain that are associated with myelin, providing reliable and high-quality fitting results of uT2 fra...
Personalized real-time inference of momentary excitability from human EEG [0.03%]
基于人的脑电图的个性化实时瞬时易化性推断
Lisa Haxel,Oskari Ahola,Jaivardhan Kapoor et al.
Lisa Haxel et al.
The efficacy of transcranial magnetic stimulation (TMS) is often limited by non-adaptive protocols that disregard instantaneous brain states, potentially constraining therapeutic outcomes. Current EEG-guided approaches are hindered by their...
Multimodal integration of plasma biomarkers, MRI, and genetic risk to predict cerebral amyloid burden in Alzheimer's disease [0.03%]
整合血液生物标志物、MRI和遗传风险预测阿尔茨海默病淀粉样蛋白负担
Yichen Wang,Hao-Jie Chen,Yuxin Cheng et al.
Yichen Wang et al.
Alzheimer's disease (AD), the most prevalent neurodegenerative disorder, is marked by the accumulation of amyloid-β (Aβ) plaques. Although cerebral Aβ positron emission tomography (Aβ-PET) remains the gold standard for assessing cerebra...
Subjective value-weights on benefit and risk in human neurocomputation changes between conservative and risky decision-making [0.03%]
人在保守和冒险决策之间主观价值权重的改变
Sijia Liu,Shuang Li,Haoran Jiang et al.
Sijia Liu et al.
The substantial variability in people's risky decision-making constitutes a compelling and interesting topic. It is particularly fascinating to note that even when confronted with identical circumstances, the same individual tends to exhibi...
Aging as an active player in Alzheimer's Disease Classification: Insights from feature selection in BrainAge Models [0.03%]
基于大脑年龄模型特征选择的阿尔茨海默病分类中衰老的作用研究
Jorge Garcia Condado,Ines Verdugo Recuero,Iñigo Tellaetxe Elorriaga et al.
Jorge Garcia Condado et al.
Background: BrainAge models estimate the biological age of the brain using neuroimaging or clinical features, making them promising tools for studying neurodegenerative diseases like Alzheimer's disease. However, the reli...
Corrigendum to "The intrinsic connectivity between the Default Mode and Dorsal Attention networks is an independent fMRI biomarker of Alzheimer's disease pathology burden" [NeuroImage, Volume 321 (2025), Article 121509] [0.03%]
“默认模式网络和背侧注意网络间的内在连接是阿尔茨海默病病理负担的独立fMRI生物标志物”的勘误(发表于《神经影像》第321卷(2025年)121509号文章)
Diego-Martin Lombardo;Alzheimer&#x;s Disease Neuroimaging Initiative
Diego-Martin Lombardo;Alzheimer&#x;s Disease Neuroimaging Initiative
Published Erratum
NeuroImage. 2025 Oct 21:121528. DOI:10.1016/j.neuroimage.2025.121528 2025