GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
about
Building a Science of Individual Differences from fMRI.Processing of frequency and location in human subcortical auditory structuresRepresentation of pitch chroma by multi-peak spectral tuning in human auditory cortex.Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XMLOrganization of high-level visual cortex in human infantsIdentifying Core Affect in Individuals from fMRI Responses to Dynamic Naturalistic Audiovisual Stimuli.Adaptive smoothing based on Gaussian processes regression increases the sensitivity and specificity of fMRI data.Methods for cleaning the BOLD fMRI signal.Episodic Tags Enhance Striatal Valuation Signals during Temporal Discounting in pathological Gamblers.Unique semantic space in the brain of each beholder predicts perceived similarityRecent progress and outstanding issues in motion correction in resting state fMRI.Conjunctive Coding of Complex Object Features.Semantic representations in the temporal pole predict false memoriesImproving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing.Cognitive Control Modulates Effects of Episodic Simulation on Delay Discounting in Aging.Using an achiasmic human visual system to quantify the relationship between the fMRI BOLD signal and neural responseNeuronal synchrony and the relation between the blood-oxygen-level dependent response and the local field potential.Central insulin modulates food valuation via mesolimbic pathways.Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field.Visual representations are dominated by intrinsic fluctuations correlated between areas.Bottom-up and top-down computations in word- and face-selective cortex.Using fMRI non-local means denoising to uncover activation in sub-cortical structures at 1.5 T for guided HARDI tractography.Attention reduces spatial uncertainty in human ventral temporal cortex.Spectral Diversity in Default Mode Network Connectivity Reflects Behavioral State.Compressive Temporal Summation in Human Visual Cortex.Specific Visual Subregions of TPJ Mediate Reorienting of Spatial Attention.Encoding of natural timbre dimensions in human auditory cortex.A non-invasive, quantitative study of broadband spectral responses in human visual cortex.Effect of task difficulty on blood-oxygen-level-dependent signal: A functional magnetic resonance imaging study in a motion discrimination task.
P2860
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P2860
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@ast
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@en
type
label
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@ast
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@en
prefLabel
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@ast
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@en
P2093
P2860
P50
P356
P1476
GLMdenoise: a fast, automated technique for denoising task-based fMRI data.
@en
P2093
Ariel Rokem
Brian A Wandell
Robert F Dougherty
P2860
P356
10.3389/FNINS.2013.00247
P577
2013-12-17T00:00:00Z