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Parker Kotlarz,Kaisu Lankinen,Maria Hakonen et al. Parker Kotlarz et al.
In graph theory, "multilayer networks" represent systems involving several interconnected topological levels. One example in neuroscience is the stratification of connections between different cortical depths or "laminae," which is becoming...
Christian J Entenmann,Katharina Kersting,Peter Vajkoczy et al. Christian J Entenmann et al.
Introduction: Conventional MRI (T1 and T2-weighted sequences) is the standard for diagnosing spinal cord injuries but often lacks specificity, showing limited correlation with microstructural changes and function. This cr...
András Béres,Miklós Emri,Csaba Aranyi et al. András Béres et al.
A subgroup of the visited patients was subjected to functional magnetic resonance imaging (fMRI), during which they listened to an audiotape of readings of the same biblical passage (n = 21).
Haewon Byeon Haewon Byeon
Utilizing resting-state functional magnetic resonance imaging (fMRI), the study investigated functional connectivity (FC) in adolescents with MDD, identifying notable reductions in regions such as the left inferior temporal gyrus and right lingual gyrus, alongside increased connectivity in Vermis-10.
Magdalena Wlad,Wiebke Struckmann,Jonas Persson et al. Magdalena Wlad et al.
Subjects underwent functional magnetic resonance imaging with simultaneous measurement of electrodermal activity. During scanning, red or green color cues were presented, followed by pictures of negative or positive valence, respectively.
Si-Yu Gu,Xin-Xin Yao,Shu Wang et al. Si-Yu Gu et al.
Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected from both groups to compare the differences in sFC and dFC.
Pei Xie,ChaoZheng Huang,QingQing Li et al. Pei Xie et al.
This study selected 44 studies that employed functional magnetic resonance imaging (fMRI) technology to explore ToM in individuals with schizophrenia, healthy controls, and at-risk for schizophrenia groups, adopted an Activation Likelihood Estimation (ALE) meta-analysis to calculate the brain activation
Mahda Nasrolahzadeh,Azizeh Akbari Mahda Nasrolahzadeh
This research scrutinizes the visualization of deep features from resting-state functional magnetic resonance imaging (rs-fMRI) images to discriminate individuals who are cognitively normal from those with different stages of Alzheimer's disease. Rs-fMRI data are obtained from the ADNI database....Keywords: Alzheimer's disease; Deep Features; Deep learning; Resting-state functional magnetic resonance imaging (rs-fMRI) image; Visualization. Copyright © 2025 Elsevier B.V. All rights reserved.
Bhawna Yadav,Nishant Goyal,Chandramouli Roy et al. Bhawna Yadav et al.
Introduction: Cognitive symptoms form core of schizophrenia affecting interpersonal and socio-occupational functioning. Impaired dorsolateral prefrontal cortex function is implicated in these symptoms. Dysfunction in sens...
Guangping Su,Zhezi Wang,Yanxi Xiong et al. Guangping Su et al.
ObjectiveTo examine the effects of chronic alcohol consumption on brain functional connectivity using resting-state functional magnetic resonance imaging and degree centrality analysis.MethodsThis was a cross-sectional study, with participants including 23 light-to-moderate drinkers, 25 heavy drinkers
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