Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Silvia Erla"'
Inferior frontal gyrus links visual and motor cortices during a visuomotor precision grip force task
Autor:
Christos Papadelis, Silvia Erla, Luigi Cattaneo, Giandomenico Nollo, Christoph Braun, Carola Arfeller
Coordination between vision and action relies on a fronto-parietal network that receives visual and proprioceptive sensory input in order to compute motor control signals. Here, we investigated with magnetoencephalography (MEG) which cortical areas a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10560a9c4949e1c41038c978e0d8dd22
http://hdl.handle.net/11572/191632
http://hdl.handle.net/11572/191632
Publikováno v:
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2012 (2012)
Computational and Mathematical Methods in Medicine, Vol 2012 (2012)
This tutorial paper introduces a common framework for the evaluation of widely used frequency-domain measures of coupling (coherence, partial coherence) and causality (directed coherence, partial directed coherence) from the parametric representation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04a0f08f0b6bae83879ec15186059990
https://doi.org/10.1155/2012/140513
https://doi.org/10.1155/2012/140513
Publikováno v:
Medical Engineering & Physics. 33:504-512
The characterization of the EEG response to photic stimulation (PS) is an important issue with significant clinical relevance. This study aims to quantify and map the complexity of the EEG during PS, where complexity is measured as the degree of unpr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2de7aa5082779c194860db38f237d71d
https://doi.org/10.1016/j.medengphy.2010.12.003
https://doi.org/10.1016/j.medengphy.2010.12.003
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences. 371(1997)
We present an approach for the quantification of directional relations in multiple time series exhibiting significant zero-lag interactions. To overcome the limitations of the traditional multivariate autoregressive (MVAR) modelling of multiple serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25b344499c43911e8abfa8b121130ef6
https://pubmed.ncbi.nlm.nih.gov/23858484
https://pubmed.ncbi.nlm.nih.gov/23858484
Publikováno v:
EMBC
Scopus-Elsevier
Scopus-Elsevier
The transfer entropy (TE) has recently emerged as a nonlinear model-free tool, framed in information theory, to detect directed interactions in coupled processes. Unfortunately, when applied to neurobiological time series TE is biased by signal cross
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92d529358eb9bcb395006a0417f10b5f
http://hdl.handle.net/10447/278792
http://hdl.handle.net/10447/278792
Autor:
Silvia Erla, Christos Papadelis, Luca Faes, Christoph Braun, Giandomenico Nollo, Carola Arfeller
The identification of the networks connecting brain areas and the understanding of their role in executing complex tasks is a crucial issue in cognitive neuroscience. In this study, specific visuomotor tasks were devised to reveal the functional netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f0988be3f92b59843aa21696580042
http://hdl.handle.net/10447/276724
http://hdl.handle.net/10447/276724
Publikováno v:
XII Mediterranean Conference on Medical and Biological Engineering and Computing 2010 ISBN: 9783642130380
An important aim in cognitive neuroscience is to identify the networks connecting different brain areas and their role in executing complex tasks. In this study, visuo-tactile tasks were employed to assess the functional correlation underlying the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::183f48dcb16cdc8f44703b88ddced045
http://hdl.handle.net/10447/278494
http://hdl.handle.net/10447/278494
Publikováno v:
Scopus-Elsevier
We present a new approach for the investigation of Granger causality in the frequency domain by means of the partial directed coherence (PDC). The approach is based on the utilization of an extended multivariate autoregressive (MVAR) model, including
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79d434e664bc8380cf55d023815554ae
http://hdl.handle.net/10447/278484
http://hdl.handle.net/10447/278484
We propose a method for the accurate estimation of Partial Directed Coherence (PDC) from multichannel time series. The method is based on multivariate vector autoregressive (MVAR) model identification performed through the recently proposed Vector Op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf9f11b480a293e601485b6bf11d9367
http://hdl.handle.net/10447/278480
http://hdl.handle.net/10447/278480
The complexity of short-term heart period (HP) variability was quantified exploiting the paradigm that associates the degree of unpredictability of a time series to its dynamical complexity. Complexity was assessed through k-nearest neighbor local li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce5f8047b53023ada625b82988960260
http://hdl.handle.net/10447/278796
http://hdl.handle.net/10447/278796