Results 21 to 30 of about 64,815 (293)
NeuroImage, 2020 Functional magnetic resonance imaging (fMRI) is a valuable tool for studying neural activations in the central nervous system of animals due to its wide spatial coverage and non-invasive nature.
Fuqiang Zhao +7 more
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Brain Sciences, 2021 Machine learning methods are widely used in autism spectrum disorder (ASD) diagnosis. Due to the lack of labelled ASD data, multisite data are often pooled together to expand the sample size.
Chunlei Shi, Xianwei Xin, Jiacai Zhang
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Modeling Adaptation Effects in fMRI Analysis [PDF]
, 2009 The standard general linear model (GLM) for rapid event-related fMRI design protocols typically ignores reduction in hemodynamic responses in successive stimuli in a train due to incomplete recovery from the preceding stimuli. To capture this adaptation effect, we incorporate a region-specific adaptation model into GLM. The model quantifies the rate of
Ou, Wanmei +4 more
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Odor-evoked layer-specific fMRI activities in the awake mouse olfactory bulb
NeuroImage, 2023 Awake rodent fMRI is increasingly common over the use of anesthesia since it permits behavioral paradigms and does not confound normal brain function or neurovascular coupling. It is well established that adequate acclimation to the loud fMRI environment
Alexander John Poplawsky +5 more
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Functional magnetic resonance imaging of cortical changes in a low-grade glioma patient [PDF]
Vojnosanitetski Pregled, 2010 Introduction. New methods for studying brain functions have provided the new insights into human brain. It is really possible to study a cortical adaptation in adults who have sustained injury.
Šveljo Olivera +3 more
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Multi-Source Domain Adaptation Techniques for Mitigating Batch Effects: A Comparative Study
Frontiers in Neuroinformatics, 2022 The past decade has seen an increasing number of applications of deep learning (DL) techniques to biomedical fields, especially in neuroimaging-based analysis.
Rohan Panda +5 more
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Spatial specificity and inheritance of adaptation in human visual cortex [PDF]
, 2015 Adaptation at early stages of sensory processing can be propagated to downstream areas. Such inherited adaptation is a potential confound for functional magnetic resonance imaging (fMRI) techniques that use selectivity of adaptation to infer neuronal ...
Harrison, Sarah, Larsson, Jonas
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Adaptive analysis of fMRI data
NeuroImage, 2003 This article introduces novel and fundamental improvements of fMRI data analysis. Central is a technique termed constrained canonical correlation analysis, which can be viewed as a natural extension and generalization of the popular general linear model method.
Ola, Friman +3 more
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Adaptive smoothing in fMRI data processing neural networks [PDF]
2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2017 Functional Magnetic Resonance Imaging (fMRI) relies on multi-step data processing pipelines to accurately determine brain activity; among them, the crucial step of spatial smoothing. These pipelines are commonly suboptimal, given the local optimisation strategy they use, treating each step in isolation.
Vilamala, Albert +2 more
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Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling [PDF]
, 2021 Accepted at International Workshop on Machine Learning in Clinical Neuroimaging (MLCN2021)
el-Gazzar, Ahmed +2 more
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