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Measuring High-Order Interactions in Rhythmic Processes through Multivariate Spectral Information Decomposition

Yuri Antonacci, Ludovico Minati, Davide Nuzzi, Gorana Mijatovic, Riccardo Pernice, Daniele Marinazzo, Sebastiano Stramaglia, Luca Faes
2021 IEEE Access  
This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions between oscillatory processes  ...  In these systems, we show that the use of our framework for the spectral decomposition of information measures reveals multivariate and higher-order interactions not detectable in the time domain.  ...  and spectral measures of coupling in multivariate (vector) processes.  ... 
doi:10.1109/access.2021.3124601 fatcat:gxb5ay77ine3jh2echpyz23smu

A Framework for the Time- and Frequency-Domain Assessment of High-Order Interactions in Brain and Physiological Networks [article]

Luca Faes, Gorana Mijatovic, Yuri Antonacci, Riccardo Pernice, Chiara Barà, Laura Sparacino, Marco Sammartino, Alberto Porta, Daniele Marinazzo, Sebastiano Stramaglia
2022 arXiv   pre-print
This work introduces an approach to quantify pairwise and HOIs for multivariate rhythmic processes interacting across multiple time scales.  ...  The framework exploits the spectral representation of vector autoregressive and state-space models to assess synergistic and redundant interactions among groups of processes, both in specific bands and  ...  FRAMEWORK TO MEASURE HIGH-ORDER INTERACTIONS IN MULTIVARIATE PROCESSES This section presents the framework to measure dynamic interactions among Q stationary stochastic processes Y = {Y 1 , . . . , Y Q  ... 
arXiv:2202.04179v1 fatcat:n4gfka5mtfdjvnkv6bwgmf65wa

Measuring spectrally-resolved information transfer for sender- and receiver-specific frequencies [article]

Edoardo Pinzuti, Patricia Wollsdtadt, Aaron Gutknecht, Oliver Tuescher, Michael Wibral
2020 bioRxiv   pre-print
Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable.  ...  In human MEG we demonstrate top-down information flow in temporal cortex from very high frequencies (above 100Hz) to both similarly high frequencies and to frequencies around 20Hz, i.e. a complex spectral  ...  Information transfer in rhythmic neural processes beyond within-band synchronization and linear interactions Having the possibility to analyze how information is transferred in relation to various spectral  ... 
doi:10.1101/2020.02.08.939744 fatcat:gcnkwehgdbbf5l3vummsxzznl4

Measuring spectrally-resolved information transfer

Edoardo Pinzuti, Patricia Wollstadt, Aaron Gutknecht, Oliver Tüscher, Michael Wibral, Daniele Marinazzo
2020 PLoS Computational Biology  
Since in many natural systems distributed computation is thought to rely on rhythmic processes a frequency resolved measure of information transfer is highly desirable.  ...  In human MEG we demonstrate top-down information flow in temporal cortex from very high frequencies (above 100Hz) to both similarly high frequencies and to frequencies around 20Hz, i.e. a complex spectral  ...  Information transfer in rhythmic neural processes beyond within-band synchronization and linear interactions Having the possibility to analyze how information is transferred in relation to various spectral  ... 
doi:10.1371/journal.pcbi.1008526 pmid:33370259 fatcat:urrew3qvcncmjluq7645s4fcry

Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

Luca Faes, Alberto Porta, Giandomenico Nollo, Michal Javorka
2016 Entropy  
specificity to alterations in the network properties of the measures derived from the decompositions; and indicate that measures of information transfer and information modification are better assessed  ...  structure of multivariate processes reflecting the temporal dynamics of complex networks.  ...  Acknowledgments: The study was supported in part by IRCS-Healthcare Research Implementation Program, Autonomous Province of Trento, Italy, and by the grants APVV-0235-12, VEGA 1/0087/14, VEGA 1/0202/16  ... 
doi:10.3390/e19010005 fatcat:c6osvfrrqberllq54nxsjpxsou

Using partial directed coherence to describe neuronal ensemble interactions

Koichi Sameshima, Luiz Antonio Baccalá
1999 Journal of Neuroscience Methods  
Central to the method is its use of multivariate time series modelling in conjunction with the concept of Granger causality.  ...  This was followed by the analysis of multi-unit activity data illustrating dynamical change in the interaction of thalamo-cortical structures in a behaving rat.  ...  Since multivariate series decomposition into partial directed coherences effectively separates pairwise interactions by subtracting the effect of other series, we tentatively adopted SCC also for N \ 2  ... 
doi:10.1016/s0165-0270(99)00128-4 pmid:10638818 fatcat:2njaxmv25vf2hnatiovogshnv4

WhoLoDancE: Deliverable 3.3 - Report on music-dance representation models

Massimiliano Zanoni, Michele Buccoli, Augusto Sarti, Fabio Antonacci, Sarah Whatley, Rosemary Cisneros, Pablo Palacio
2017 Zenodo  
The two models are then used to study the dependence and the interaction between music and movement in two use-cases: Piano&Dancer performance and joint movement-music analysis in Flamenco.  ...  Dance and music are highly dependent in many dance genres: in some genres, dance performances cannot be even executed without a reference music.  ...  In Spanish music, it is the bar of measure and within flamenco it also means the rhythmic unit of the song.  ... 
doi:10.5281/zenodo.1135077 fatcat:kifaub3kjzearlcv237jshh3tm

Four concurrent feedforward and feedback networks with different roles in the visual cortical hierarchy

Elham Barzegaran, Gijs Plomp, Christopher Pack
2022 PLoS Biology  
By analyzing visual evoked responses in laminar recordings from 6 cortical areas in awake mice, we uncovered a dominant feedforward network with scale-free interactions in the time domain.  ...  We could identify distinct roles for each of these 4 processing streams, by leveraging stimulus contrast effects, analyzing receptive field (RF) convergency along functional interactions, and determining  ...  (iPDC) [22, 23] . iPDC provides a multivariate measure of directed functional connectivity (Granger causality) with high temporal and frequency resolution.  ... 
doi:10.1371/journal.pbio.3001534 pmid:35143472 pmcid:PMC8865670 fatcat:esgeju2miravtj5bjmhspuhhbe

Information decomposition of multichannel EMG to map functional interactions in the distributed motor system

Tjeerd W. Boonstra, Luca Faes, Jennifer N. Kerkman, Daniele Marinazzo
2019 NeuroImage  
Here we used multivariate information decomposition of multichannel EMG acquired from 14 healthy participants during postural tasks to investigate the neural interactions between muscles.  ...  Information decomposition revealed distinct patterns in task-related changes: unimanual and bimanual pointing were associated with reduced transfer to the pectoralis major muscles, but an increase in total  ...  The computational resources (Stevin Supercomputer Infrastructure) and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by Ghent University, FWO and the Flemish  ... 
doi:10.1016/j.neuroimage.2019.116093 pmid:31404629 fatcat:suxzi3m7arh3fh6oufnt3ss2di

Information dynamics of brain–heart physiological networks during sleep

L Faes, G Nollo, F Jurysta, D Marinazzo
2014 New Journal of Physics  
Entropy-based measures are exploited to quantify the predictive information carried by each (sub)system, and to dissect this information into a part actively stored in the system and a part transferred  ...  This study proposes an integrated approach, framed in the emerging fields of network physiology and information dynamics, for the quantitative analysis of brain-heart interaction networks during sleep.  ...  Through the computation of entropy-based measures, the approach allows the decomposition of the information content of each studied system into amounts of information actively stored in the system, and  ... 
doi:10.1088/1367-2630/16/10/105005 fatcat:qnj7ccvglrdtrjg5t6hdod5coq

Analytical methods and experimental approaches for electrophysiological studies of brain oscillations

Joachim Gross
2014 Journal of Neuroscience Methods  
In recent years this research area has seen rapid and significant changes in the experimental approaches and analysis methods.  ...  This article reviews these developments and provides a structured overview of experimental approaches, spectral analysis techniques and methods to establish relationships between brain oscillations and  ...  These studies support the view that brain oscillations are directly related to computational processes implementing fundamental information processing tasks in the human brain.  ... 
doi:10.1016/j.jneumeth.2014.03.007 pmid:24675051 pmcid:PMC4007035 fatcat:ewa5ub3yefantih4do3ede6vdm

Modeling of Circuits within Networks by fMRI

G. de Marco, A. le Pellec
2010 Wireless Sensor Network  
In this review, the authors describe the most recent functional imaging approaches used to explore and identify circuits within networks and model spatially and anatomically interconnected regions.  ...  The description of specific circuits in networks should allow a more realistic definition of dynamic functioning of the central nervous system which underlies various brain functions.  ...  Consecutive measurements within a given time series contain information about the process that generated this series.  ... 
doi:10.4236/wsn.2010.23028 fatcat:uqudzrg23nhmjosonbw6tptx5q

Hyperharmonic analysis for the study of high-order information-theoretic signals [article]

Anibal M. Medina-Mardones, Fernando E. Rosas, Sebastián E. Rodríguez, Rodrigo Cofré
2021 arXiv   pre-print
In this work, we combine methods from harmonic analysis and combinatorial topology to construct efficient representations of high-order information-theoretic signals.  ...  Recently proposed high-order information-theoretic signals are well-suited to capture synergistic phenomena that transcend pairwise interactions; however, the exponential-growth of their cardinality severely  ...  Additionally, high-order interactions have been argued to play a key role in neural information processing (Wibral et al., 2017) and high-order brain functions (Tononi et al., 1994) , being at the core  ... 
arXiv:2010.01117v2 fatcat:qvvfe64hxbdrleadpl4kf6acv4

Information decomposition of multichannel EMG to map functional interactions in the distributed motor system [article]

Tjeerd W Boonstra, Luca Faes, Jennifer N Kerkman, Daniele Marinazzo
2019 bioRxiv   pre-print
Here we used multivariate information decomposition to investigate the functional interactions in multichannel EMG during these tasks.  ...  However, information decomposition revealed distinct patterns underlying both effects.  ...  In this paper, we use information decomposition to map interactions in functional muscle networks involved in postural control.  ... 
doi:10.1101/587949 fatcat:ojunqjs2jvdv3fsmm66ft7qvxa

Alteration and reorganization of functional networks: a new perspective in brain injury study

Nazareth Castellanos
2011 Frontiers in Human Neuroscience  
This new approach studies the impact of brain injury by means of alteration of functional interactions.  ...  functional connectivity, exploring their capabilities, future perspectives, and clinical uses in brain injury studies.  ...  The role of spectral bands in brain interactions underlying cognitive processes is a fundamental subject even nowadays.  ... 
doi:10.3389/fnhum.2011.00090 pmid:21960965 pmcid:PMC3177176 fatcat:nzhxqdsbvbcohaa2rzqkgfxdzu
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