Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
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Building a Science of Individual Differences from fMRI.The power of using functional fMRI on small rodents to study brain pharmacology and diseaseThe NIRS Analysis Package: noise reduction and statistical inferenceWeed or wheel! FMRI, behavioural, and toxicological investigations of how cannabis smoking affects skills necessary for drivingTemporal Cortex Activation to Audiovisual Speech in Normal-Hearing and Cochlear Implant Users Measured with Functional Near-Infrared Spectroscopy.A semi-parametric nonlinear model for event-related fMRI.BICAR: a new algorithm for multiresolution spatiotemporal data fusionAssessment of temporal state-dependent interactions between auditory fMRI responses to desired and undesired acoustic sourcesModeling hemodynamic responses in auditory cortex at 1.5 T using variable duration imaging acoustic noise.Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling.Misconceptions in the use of the General Linear Model applied to functional MRI: a tutorial for junior neuro-imagers.Recent developments in optimal experimental designs for functional magnetic resonance imaging.Bootstrapping fMRI Data: Dealing with Misspecification.Methods and utility of EEG-fMRI in epilepsyFast, fully Bayesian spatiotemporal inference for fMRI dataFinding common task-related regions in fMRI data from multiple subjects by periodogram clustering and clustering ensemble.Pros and Cons of Using the Informed Basis Set to Account for Hemodynamic Response Variability with Developmental Data.Challenges and opportunities for brainstem neuroimaging with ultrahigh field MRI.Fast joint detection-estimation of evoked brain activity in event-related FMRI using a variational approachInvestigating hemodynamic response variability at the group level using basis functions.Temporal profile of fronto-striatal-limbic activity during implicit decisions in drug dependence.State-space models of impulse hemodynamic responses over motor, somatosensory, and visual cortices.Larger neural responses produce BOLD signals that begin earlier in time.Brain mediators of the effects of noxious heat on pain.Brain mediators of predictive cue effects on perceived pain.An investigation of positive and inverted hemodynamic response functions across multiple visual areas.Unsupervised spatiotemporal analysis of fMRI data using graph-based visualizations of self-organizing maps.Spatial Bayesian Variable Selection Models on Functional Magnetic Resonance Imaging Time-Series Data.Beyond BOLD: optimizing functional imaging in stroke populations.Practical steps for applying a new dynamic model to near-infrared spectroscopy measurements of hemodynamic oscillations and transient changes: implications for cerebrovascular and functional brain studiesOptimal hemodynamic response model for functional near-infrared spectroscopy.Motion tracking and electromyography-assisted identification of mirror hand contributions to functional near-infrared spectroscopy images acquired during a finger-tapping task performed by children with cerebral palsyEvaluation of cortical plasticity in children with cerebral palsy undergoing constraint-induced movement therapy based on functional near-infrared spectroscopy.The Neurodynamics of Affect in the Laboratory Predicts Persistence of Real-World Emotional ResponsesDissociable influences of opiates and expectations on pain.Distinct effects of trial-driven and task Set-related control in primary visual cortexDetecting the subtle shape differences in hemodynamic responses at the group levelDevelopment of BOLD signal hemodynamic responses in the human brainGeneralized semiparametrically structured ordinal modelsRapidly acquired multisensory association in the olfactory cortex.
P2860
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P2860
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@en
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@nl
type
label
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@en
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@nl
prefLabel
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@en
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@nl
P2093
P2860
P1433
P1476
Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.
@en
P2093
Ji Meng Loh
Lauren Y Atlas
Martin A Lindquist
P2860
P304
P356
10.1016/J.NEUROIMAGE.2008.10.065
P407
P433
P50
P577
2008-11-21T00:00:00Z