Modeling state-related fMRI activity using change-point theory.
about
Bayesian Inference for Functional Dynamics Exploring in fMRI DataWeed or wheel! FMRI, behavioural, and toxicological investigations of how cannabis smoking affects skills necessary for drivingNeurophysiological studies of auditory verbal hallucinations.Brain mediators of cardiovascular responses to social threat: part I: Reciprocal dorsal and ventral sub-regions of the medial prefrontal cortex and heart-rate reactivityDeCon: a tool to detect emotional concordance in multivariate time series data of emotional responding.Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data.Change point analysis for longitudinal physiological data: detection of cardio-respiratory changes preceding panic attacks.Inferring functional interaction and transition patterns via dynamic Bayesian variable partition modelsEvaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach.Acupuncture modulates temporal neural responses in wide brain networks: evidence from fMRI studyDo unexpected panic attacks occur spontaneously?Neural temporal dynamics of stress in comorbid major depressive disorder and social anxiety disorder.Modeling and interpreting mesoscale network dynamics.The neural basis of emotions varies over time: Different regions go with onset- and offset-bound processes underlying emotion intensity.Detection of timescales in evolving complex systems.Real-time estimation of dynamic functional connectivity networks.Detecting brain state changes via fiber-centered functional connectivity analysis.Change Point Detection in Correlation Networks.Estimating the population local wavelet spectrum with application to non-stationary functional magnetic resonance imaging time series.Change point estimation in multi-subject fMRI studies.Dynamic connectivity regression: determining state-related changes in brain connectivityA few thoughts on brain ROIs.Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling.Atomic dynamic functional interaction patterns for characterization of ADHD.Additional evidence for the sustained effect of acupuncture at the vision-related acupuncture point, GB37.Big Data and Neuroimaging.Extendable supervised dictionary learning for exploring diverse and concurrent brain activities in task-based fMRI.Detecting correlation changes in multivariate time series: A comparison of four non-parametric change point detection methods.Detection and characterization of single-trial fMRI bold responses: paradigm free mapping.vmPFC activation during a stressor predicts positive emotions during stress recovery.
P2860
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P2860
Modeling state-related fMRI activity using change-point theory.
description
2007 nî lūn-bûn
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2007年の論文
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年學術文章
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name
Modeling state-related fMRI activity using change-point theory.
@en
Modeling state-related fMRI activity using change-point theory.
@nl
type
label
Modeling state-related fMRI activity using change-point theory.
@en
Modeling state-related fMRI activity using change-point theory.
@nl
prefLabel
Modeling state-related fMRI activity using change-point theory.
@en
Modeling state-related fMRI activity using change-point theory.
@nl
P1433
P1476
Modeling state-related fMRI activity using change-point theory.
@en
P2093
Christian Waugh
Martin A Lindquist
P304
P356
10.1016/J.NEUROIMAGE.2007.01.004
P407
P50
P577
2007-01-23T00:00:00Z