functional networks
Cerebral functional networks during sleep in young and older individuals
... and functional magnetic resonance imaging (fMRI) demonstrated a distant and local reorganization of functional networks underlying sensory awareness, information transfer, memory consolidation and ...
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Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis
... obtained functional networks, subject-level FC parameters (z-statistic) were extracted from ROIs located in the RSP and left ...separable functional communities ( Liska et ...
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Assessment of congruence between co-occurrence and functional networks: A new framework for revealing community assembly rules
... two networks: the co-occurrence (based on species abundances) and the functional networks (based on the species traits ...given functional group also belong to the same co-occurrence ...
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Functional networks of co-expressed genes to explore iron homeostasis processes in the pathogenic yeast Candida glabrata
... C. glabrata must get enough iron for essential cel- lular processes and resist toxic iron excess. The re- sponse of this pathogen to both depletion and lethal excess of iron at 30 ◦ C have been described in the lit- ...
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Large-Scale Functional Networks Identified from Resting-State EEG Using Spatial ICA
... Spatial ICA. In fMRI, methods based on sICA have become the reference to detect large- scale functional networks. Following Eq (1) , we applied sICA on the power of the signals asso- ciated with the EEG ...
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Differences in Human Cortical Gene Expression Match the Temporal Properties of Large-Scale Functional Networks
... of functional networks differ essentially in the way they process information: The functional networks forming the VSA ring process real time information whereas the functional ...
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Hubs of brain functional networks are radically reorganized in comatose patients
... that functional network hubs tend to be metabolically more expensive, ...that functional connectivity measured over longer periods of time more closely approximates the underly- ing anatomical connectivity ...
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Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction
... that functional atlases are more accurate than structural atlases, although the differences are not statisti- cally ...non functional regions, and that adding non relevant regions does not improve stacking ...
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Differences in Human Cortical Gene Expression Match the Temporal Properties of Large-Scale Functional Networks
... Claudia Cioli, Hervé Abdi, Derek Beaton, Yves Burnod, Salma Mesmoudi. To cite this version:[r] ...
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Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?
... via functional Magnetic Resonance Imaging (fMRI), are expected to reveal the inter- actions in the underlying neural populations through hemodynamic ...brain networks related to different cognitive ...
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Impact of literacy on the functional connectivity of vision and language related networks
... to functional and structural changes in cortical brain areas related to vision and ...whole functional networks, especially when literacy is acquired during ...investigated functional connec- ...
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Fast reproducible identification and large-scale databasing of individual functional cognitive networks
... Group analysis performed on a first database of 81 sub- jects first allowed us to report several functional networks which fit with previous fMRI results in the fields of speech perception, reading, motor ...
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MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI
... functional networks, as only the functional RSN 2.) and 5.) pass them. To bring evidence for this, we examine the group-averaged multifractal spectra D(h) in Fig. 3, plotted for each of the five com- ...
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Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics
... https://doi.org/10.1016/j.neuroimage.2016.12.061 Pruett, J.R., Kandala, S., Hoertel, S., Snyder, A.Z., Elison, J.T., Nishino, T., Feczko, E., Dosenbach, N.U.F., Nardos, B., Power, J.D., Adeyemo, B., Botteron, K.N., ...
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Compiling functional reactive macroprograms for sensor networks
... The Regiment language takes ideas from Functional Reactive Programming [17] to a new level, and its implementation puts a stake in the ground for sensor network macro[r] ...
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Nonlinear functional regression: a functional RKHS approach
... RRSS i = √∫ {by i (t) − y i (t) } 2 dt In Ramsay and Silverman (2005), the authors propose the use of the squared correlation function to evalu- ate function estimate of functional regression meth- ods. This ...
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The Functional Organization of Neocortical Networks Investigated in Slices with Local Field Recordings and Laser Scanning Photostimulation
... basic functional connectivity in sensory cortices [ 2 , 4 , 5 , 6 , 7 ], in motor and prefrontal cortex [ 8 , 9 , 10 ], in subcortical structures [ 11 , 12 , 13 , 14 ] and in the spinal cord [ 15 ...generate ...
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The Functional Organization of Neocortical Networks Investigated in Slices with Local Field Recordings and Laser Scanning Photostimulation
... intracortical functional connectivity, they also deliver quantitative ...atory networks within barrel cortex and that helps making the fPSP maps and EPSC maps so similar: their synapses are the densest on ...
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Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.
... pendent functional magnetic resonance imaging data consists of modeling the whole brain as a stationary, linear system char- acterized by its transfer function: the hemodynamic response function ...and ...
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Functional Isolation Forest
... energy networks), high-rate sensors are deployed to capture multivariate data, generally unlabeled, in quasi continuous-time to detect quickly the occurrence of anoma- lies that may jeopardize the smooth operation ...
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