Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project
about
At risk of being risky: The relationship between "brain age" under emotional states and risk preference.Methods for cleaning the BOLD fMRI signal.Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature.Functional Connectivity Mapping in the Animal Model: Principles and Applications of Resting-State fMRI.Real-time motion analytics during brain MRI improve data quality and reduce costs.Globally weaker and topologically different: resting-state connectivity in youth with autism.Reduced fronto-amygdalar connectivity in adolescence is associated with increased depression symptoms over time.The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization.The global signal in fMRI: Nuisance or Information?Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.Temporal interpolation alters motion in fMRI scans: Magnitudes and consequences for artifact detection.Insight and inference for DVARS.Quasi-periodic patterns of intrinsic brain activity in individuals and their relationship to global signal.Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies.Identifying and characterizing systematic temporally-lagged BOLD artifacts.Multimodal neural correlates of cognitive control in the Human Connectome Project.Sensory-biased attention networks in human lateral frontal cortex revealed by intrinsic functional connectivity.Echoes of Affective Stimulation in Brain connectivity Networks.Resting-State Functional Connectivity in the Human Connectome Project: Current Status and Relevance to Understanding Psychopathology.Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data.Maternal IL-6 during pregnancy can be estimated from newborn brain connectivity and predicts future working memory in offspring.
P2860
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P2860
Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome Project
description
2016 nî lūn-bûn
@nan
2016 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Evaluation of Denoising Strate ...... m the Human Connectome Project
@ast
Evaluation of Denoising Strate ...... m the Human Connectome Project
@en
type
label
Evaluation of Denoising Strate ...... m the Human Connectome Project
@ast
Evaluation of Denoising Strate ...... m the Human Connectome Project
@en
prefLabel
Evaluation of Denoising Strate ...... m the Human Connectome Project
@ast
Evaluation of Denoising Strate ...... m the Human Connectome Project
@en
P2093
P2860
P356
P1433
P1476
Evaluation of Denoising Strate ...... m the Human Connectome Project
@en
P2093
Babatunde Adeyemo
Gregory C Burgess
Jonathan D Power
Michael P Harms
Sridhar Kandala
Steven E Petersen
Timothy O Laumann
P2860
P304
P356
10.1089/BRAIN.2016.0435
P577
2016-08-29T00:00:00Z