Results 101 to 110 of about 456,227 (305)
neuRosim: an R package for simulation of fMRI magnitude data with realistic noise [PDF]
, 2011 Statistical analysis techniques for highly complex structured data such as fMRI data should be thoroughly validated. In this process, knowing the ground truth is essential.
Rosseel, Yves, Welvaert, Marijke
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A neuroimaging study of pleasant and unpleasant olfactory perceptions of virgin olive oil
Grasas y Aceites, 2016 Functional magnetic resonance imaging (fMRI) has been used to collect information from neurons that receive direct input from olfactory bulbs when subjects smell virgin olive oil. The pleasant aroma of three extra virgin olive oils (var. Royal, Arbequina
J. Vivancos +4 more
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Human Brain Mapping, 2018 Acquiring resting‐state functional magnetic resonance imaging (fMRI) datasets at multiple MRI scanners and clinical sites can improve statistical power and generalizability of results.
Meichen Yu +9 more
semanticscholar +1 more source
A Pneumatically Actuated Manipulandum for Neuromotor Control Research [PDF]
, 2002 Functional magnetic resonance imaging (fMRI) techniques have great potential for identifying which neural structures are involved in the control of goal-directed reaching movements.
Ropella, Kristina M. +2 more
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, 2012 A great improvement to the insight on brain function that we can get from fMRI data can come from effective connectivity analysis, in which the flow of information between even remote brain regions is inferred by the parameters of a predictive dynamical ...
Chen, H. +5 more
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NeuroImage, 2012 Bayesian inference has taken FMRI methods research into areas that frequentist statistics have struggled to reach. In this article we will consider some of the early forays into Bayes and what motivated its use. We shall see the impact that Bayes has had on haemodynamic modelling, spatial modelling, group analysis, model selection and brain ...
openaire +5 more sources
Spectral Characterization of functional MRI data on voxel-resolution cortical graphs
, 2020 The human cortical layer exhibits a convoluted morphology that is unique to each individual. Conventional volumetric fMRI processing schemes take for granted the rich information provided by the underlying anatomy.
Behjat, Hamid, Larsson, Martin
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Neuropsychiatric Disease and Treatment, 2021 Yilan Xing,1,2 Shishun Fu,3 Meng Li,3 Xiaofen Ma,3 Mengchen Liu,3 Xintong Liu,2 Yan Huang,2 Guang Xu,2 Yonggang Jiao,2 Hong Wu,2 Guihua Jiang,1,3 Junzhang Tian1,3 1The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s ...
Xing Y +11 more
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Small sample sizes reduce the replicability of task-based fMRI studies
Communications Biology, 2018 Despite a growing body of research suggesting that task-based functional magnetic resonance imaging (fMRI) studies often suffer from a lack of statistical power due to too-small samples, the proliferation of such underpowered studies continues unabated ...
Benjamin O. Turner +3 more
semanticscholar +1 more source
Journal of Pain Research, 2021 Georg Deutsch,1 Hrishikesh Deshpande,1 H Henry Lai,2 Jason J Kutch,3 Timothy J Ness4 1Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, USA; 2Division of Urologic Surgery, Department of Surgery, Washington University School of
Deutsch G +4 more
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