The Voxel-Wise Functional Connectome Can Be Efficiently Derived from Co-activations in a Sparse Spatio-Temporal Point-Process.

scientific article published on 23 August 2016

The Voxel-Wise Functional Connectome Can Be Efficiently Derived from Co-activations in a Sparse Spatio-Temporal Point-Process. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.3389/FNINS.2016.00381
P932PMC publication ID4994538
P698PubMed publication ID27601975

P50authorHelmut LaufsQ41664960
Dante R ChialvoQ57085501
Michael SiniatchkinQ123482141
P2093author name stringEnzo Tagliazucchi
P2860cites workThe Unreasonable Effectiveness of DataQ21028962
Criticality in large-scale brain FMRI dynamics unveiled by a novel point process analysisQ21129262
Dynamic BOLD functional connectivity in humans and its electrophysiological correlatesQ21129399
Mapping the structural core of human cerebral cortexQ21145869
Scale-Free Brain Functional NetworksQ21698325
Toward discovery science of human brain functionQ24619932
Neurophysiological investigation of the basis of the fMRI signalQ27860853
The WU-Minn Human Connectome Project: an overviewQ28673229
Investigations into resting-state connectivity using independent component analysisQ29614804
Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's diseaseQ29619733
Posterior cingulate cortex-related co-activation patterns: a resting state FMRI study in propofol-induced loss of consciousnessQ30435488
A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI dataQ30591020
Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high-motion data pointsQ30655653
Hierarchical clustering to measure connectivity in fMRI resting-state data.Q30711424
Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep.Q30817302
Coherence potentials: loss-less, all-or-none network events in the cortexQ33525002
Clinical applications of resting state functional connectivityQ33622406
Age-related alterations in default mode network: impact on working memory performanceQ33742183
The hubs of the human connectome are generally implicated in the anatomy of brain disordersQ33937468
Hubs of brain functional networks are radically reorganized in comatose patientsQ34034555
Spontaneous BOLD event triggered averages for estimating functional connectivity at resting stateQ34149866
Characterizing variation in the functional connectome: promise and pitfallsQ34160885
Automatic sleep staging using fMRI functional connectivity dataQ34320271
Time-varying functional network information extracted from brief instances of spontaneous brain activityQ34329720
Organization, development and function of complex brain networksQ34345974
Resting-state fMRI in the Human Connectome ProjectQ34346334
Decomposition of spontaneous brain activity into distinct fMRI co-activation patternsQ34405255
Introducing co-activation pattern metrics to quantify spontaneous brain network dynamicsQ34461805
Hemispheric asymmetry and aging: right hemisphere decline or asymmetry reductionQ35019307
Neuronal avalanches in the resting MEG of the human brainQ36880031
Breakdown of long-range temporal dependence in default mode and attention networks during deep sleepQ37191973
Research priorities. The NIH BRAIN InitiativeQ37403345
The human connectome: a complex networkQ37830737
Periods of rest in fMRI contain individual spontaneous events which are related to slowly fluctuating spontaneous activity.Q43682339
Parcellation-dependent small-world brain functional networks: a resting-state fMRI studyQ44188226
Functional and developmental significance of amplitude variance asymmetry in the BOLD resting-state signalQ44777593
Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaquesQ46288632
Neuronal avalanches in neocortical circuits.Q47873994
Whole-brain anatomical networks: does the choice of nodes matter?Q48367641
Enhanced repertoire of brain dynamical states during the psychedelic experience.Q48681633
Neurophysiological architecture of functional magnetic resonance images of human brain.Q49162790
Characterization and modeling of weighted networksQ56762588
Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtractionQ77364501
P4510describes a project that usesscikit-imageQ22442795
P921main subjectconnectomeQ1292103
P304page(s)381
P577publication date2016-08-23
P1433published inFrontiers in NeuroscienceQ2177807
P1476titleThe Voxel-Wise Functional Connectome Can Be Efficiently Derived from Co-activations in a Sparse Spatio-Temporal Point-Process
P478volume10

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cites work (P2860)
Q50422087A combinatorial framework to quantify peak/pit asymmetries in complex dynamics.
Q50690151Detecting switching and intermittent causalities in time series.
Q46210213Dynamic functional connectivity and individual differences in emotions during social stress.
Q89641987Dynamic spatiotemporal patterns of brain connectivity reorganize across development
Q91970472Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects
Q94502436Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking States
Q47594134Methods and Considerations for Dynamic Analysis of Functional MR Imaging Data
Q55432502Negative mood and mind wandering increase long-range temporal correlations in attention fluctuations.
Q89641972Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Q55331834Simulations to benchmark time-varying connectivity methods for fMRI.
Q90042489The avalanche-like behaviour of large-scale haemodynamic activity from wakefulness to deep sleep
Q38954745The global signal in fMRI: Nuisance or Information?

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