The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
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Building a Science of Individual Differences from fMRI.A Hitchhiker's Guide to Functional Magnetic Resonance ImagingMechanistic Mathematical Modeling Tests Hypotheses of the Neurovascular Coupling in fMRIBrain atrophy can introduce age-related differences in BOLD responseImplications of cortical balanced excitation and inhibition, functional heterogeneity, and sparseness of neuronal activity in fMRI.Klinefelter syndrome has increased brain responses to auditory stimuli and motor output, but not to visual stimuli or Stroop adaptation.GLMdenoise: a fast, automated technique for denoising task-based fMRI data.A review of fMRI simulation studies.Contributions and complexities from the use of in vivo animal models to improve understanding of human neuroimaging signals.An investigation of positive and inverted hemodynamic response functions across multiple visual areas.Mapping the voxel-wise effective connectome in resting state FMRIBOLD fractional contribution to resting-state functional connectivity above 0.1 HzResting state BOLD functional connectivity at 3T: spin echo versus gradient echo EPI.Beyond BOLD: optimizing functional imaging in stroke populations.Functional Connectivity's Degenerate View of Brain ComputationEarly disrupted neurovascular coupling and changed event level hemodynamic response function in type 2 diabetes: an fMRI study.Hemodynamic response function abnormalities in schizophrenia during a multisensory detection taskIdentifying effective connectivity parameters in simulated fMRI: a direct comparison of switching linear dynamic system, stochastic dynamic causal, and multivariate autoregressive modelsBrain mechanisms for simple perception and bistable perception.Modeling of the hemodynamic responses in block design fMRI studies.Prolonged hemodynamic response during incidental facial emotion processing in inter-episode bipolar I disorderComparison of fMRI analysis methods for heterogeneous BOLD responses in block design studies.Between- and within-site variability of fMRI localizations.Analysis of Neural-BOLD Coupling Through Four Models of the Neural Metabolic Demand.Aging and Cognitive Neuroimaging: A Fertile Union.On the distinguishability of HRF models in fMRI.Granger causality for state-space models.Integrative Processing of Touch and Affect in Social Perception: An fMRI Study.State-Space Analysis of Granger-Geweke Causality Measures with Application to fMRI.Granger causality analysis in neuroscience and neuroimaging.Regional variations in vascular density correlate with resting-state and task-evoked blood oxygen level-dependent signal amplitude.Disrupted Thalamus White Matter Anatomy and Posterior Default Mode Network Effective Connectivity in Amnestic Mild Cognitive Impairment.Macroscale variation in resting-state neuronal activity and connectivity assessed by simultaneous calcium imaging, hemodynamic imaging and electrophysiology.Delta Rhythm Orchestrates the Neural Activity Underlying the Resting State BOLD Signal via Phase-amplitude Coupling.Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data.Top-down cortical interactions in visuospatial attention.BOLD neurovascular coupling does not change significantly with normal aging.Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.Spectral Dynamics of Resting State fMRI Within the Ventral Tegmental Area and Dorsal Raphe Nuclei in Medication-Free Major Depressive Disorder in Young Adults.
P2860
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P2860
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
description
2012 nî lūn-bûn
@nan
2012 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@ast
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@en
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@nl
type
label
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@ast
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@en
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@nl
prefLabel
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@ast
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@en
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@nl
P2860
P50
P1433
P1476
The continuing challenge of understanding and modeling hemodynamic variation in fMRI.
@en
P2093
Mark D'Esposito
P2860
P304
P356
10.1016/J.NEUROIMAGE.2012.02.015
P407
P577
2012-02-14T00:00:00Z