Methods to detect, characterize, and remove motion artifact in resting state fMRI.
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Functional System and Areal Organization of a Highly Sampled Individual Human BrainPhysiological Contribution in Spontaneous Oscillations: An Approximate Quality-Assurance Index for Resting-State fMRI SignalsSensitivity of the resting-state haemodynamic response function estimation to autonomic nervous system fluctuationsBuilding a Science of Individual Differences from fMRI.Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI SignalsGeneration and Evaluation of a Cortical Area Parcellation from Resting-State CorrelationsThe Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: A ReviewNetwork dysfunction in Alzheimer's disease: refining the disconnection hypothesisClassification of autistic individuals and controls using cross-task characterization of fMRI activityDenoising the speaking brain: toward a robust technique for correcting artifact-contaminated fMRI data under severe motion.Brain Plasticity in Blind Subjects Centralizes Beyond the Modal Cortices.Ventral anterior cingulate connectivity distinguished nonpsychotic bipolar illness from psychotic bipolar disorder and schizophreniaA Hitchhiker's Guide to Functional Magnetic Resonance ImagingCharacterizing Resting-State Brain Function Using Arterial Spin LabelingEarly Age-Related Functional Connectivity Decline in High-Order Cognitive NetworksMotion-related artifacts in structural brain images revealed with independent estimates of in-scanner head motionThe Human Connectome Project: Progress and ProspectsBrain structure-function associations identified in large-scale neuroimaging data.Investigating the Temporal Patterns within and between Intrinsic Connectivity Networks under Eyes-Open and Eyes-Closed Resting States: A Dynamical Functional Connectivity Study Based on Phase SynchronizationBrain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.An open science resource for establishing reliability and reproducibility in functional connectomicsThe pediatric template of brain perfusion.Autism: reduced connectivity between cortical areas involved in face expression, theory of mind, and the sense of selfAt risk of being risky: The relationship between "brain age" under emotional states and risk preference.Cortical dynamics of disfluency in adults who stutterUnmasking Language Lateralization in Human Brain Intrinsic ActivityDisruptions of network connectivity predict impairment in multiple behavioral domains after strokeLong-term neural and physiological phenotyping of a single humanDecoding the Traumatic Memory among Women with PTSD: Implications for Neurocircuitry Models of PTSD and Real-Time fMRI Neurofeedback.Separable roles for attentional control sub-systems in reading tasks: a combined behavioral and fMRI study.Reduced resting-state brain activity in the default mode network in children with (central) auditory processing disorders.The effect of mild-to-moderate hearing loss on auditory and emotion processing networks.Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards.Age related changes in striatal resting state functional connectivity in autism.FAAH genetic variation enhances fronto-amygdala function in mouse and human.Altered memory-related functional connectivity of the anterior and posterior hippocampus in older adults at increased genetic risk for Alzheimer's disease.Strengthening connections: functional connectivity and brain plasticity.Activity flow over resting-state networks shapes cognitive task activationsSimPACE: generating simulated motion corrupted BOLD data with synthetic-navigated acquisition for the development and evaluation of SLOMOCO: a new, highly effective slicewise motion correctionIndividuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
P2860
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P2860
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
description
2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին 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
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@ast
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@en
type
label
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@ast
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@en
prefLabel
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@ast
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@en
P2093
P2860
P50
P1433
P1476
Methods to detect, characterize, and remove motion artifact in resting state fMRI.
@en
P2093
Anish Mitra
Jonathan D Power
Steven E Petersen
Timothy O Laumann
P2860
P304
P356
10.1016/J.NEUROIMAGE.2013.08.048
P407
P577
2013-08-29T00:00:00Z