Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
about
Building a Science of Individual Differences from fMRI.Neuronal or hemodynamic? Grappling with the functional MRI signalDenoising the speaking brain: toward a robust technique for correcting artifact-contaminated fMRI data under severe motion.Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XMLThe effect of mild-to-moderate hearing loss on auditory and emotion processing networks.Dynamic functional connectivity: promise, issues, and interpretationsMethods to detect, characterize, and remove motion artifact in resting state fMRI.Resting-state fMRI: a review of methods and clinical applicationsRemoving motion and physiological artifacts from intrinsic BOLD fluctuations using short echo data.Resting-state fMRI confounds and cleanup.Functional Magnetic Resonance Imaging Methods.Resting-state functional connectivity MRI reveals active processes central to cognition.Nuisance Regression of High-Frequency Functional Magnetic Resonance Imaging Data: Denoising Can Be Noisy.Methods for cleaning the BOLD fMRI signal.Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics.Instability of default mode network connectivity in major depression: a two-sample confirmation study.Intranasal oxytocin enhances intrinsic corticostriatal functional connectivity in womenAge-related differences in the dynamic architecture of intrinsic networks.Disrupted resting-state brain network properties in obesity: decreased global and putaminal cortico-striatal network efficiency.Are Movement Artifacts in Magnetic Resonance Imaging a Real Problem?-A Narrative ReviewA wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series.Threat of shock increases excitability and connectivity of the intraparietal sulcus.The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders.Impact of automated ICA-based denoising of fMRI data in acute stroke patientsICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imagingDe-noising with a SOCK can improve the performance of event-related ICA.A novel method of combining blood oxygenation and blood flow sensitive magnetic resonance imaging techniques to measure the cerebral blood flow and oxygen metabolism responses to an unknown neural stimulus.Separating slow BOLD from non-BOLD baseline drifts using multi-echo fMRI.BOLD fractional contribution to resting-state functional connectivity above 0.1 HzRecent progress and outstanding issues in motion correction in resting state fMRI.Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA.Brain-heart interactions: challenges and opportunities with functional magnetic resonance imaging at ultra-high field.COMPULS: design of a multicenter phenotypic, cognitive, genetic, and magnetic resonance imaging study in children with compulsive syndromes.Biases in the Explore-Exploit Tradeoff in Addictions: The Role of Avoidance of UncertaintyMultiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivityComparing resting state fMRI de-noising approaches using multi- and single-echo acquisitionsFronto-striatal organization: Defining functional and microstructural substrates of behavioural flexibilityThe quest for the best: The impact of different EPI sequences on the sensitivity of random effect fMRI group analyses.Jumping the Gun: Mapping Neural Correlates of Waiting Impulsivity and Relevance Across Alcohol Misuse.
P2860
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P2860
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@ast
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@en
type
label
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@ast
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@en
prefLabel
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@ast
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@en
P2860
P50
P1433
P1476
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI.
@en
P2093
Jennifer W Evans
Wen-Ming Luh
P2860
P304
P356
10.1016/J.NEUROIMAGE.2011.12.028
P407
P577
2011-12-23T00:00:00Z