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المؤلفOmidvarnia A.H.
المؤلفAzemi G.
المؤلفBoashash B.
المؤلفO'Toole J.M.
المؤلفColditz P.
المؤلفVanhatalo S.
تاريخ الإتاحة2022-05-31T19:01:38Z
تاريخ النشر2012
اسم المنشورLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
المصدرScopus
المعرّفhttp://dx.doi.org/10.1007/978-3-642-34481-7_83
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31927
الملخصThe aim of this study is to develop a time-frequency method and test its applicability to investigating directional cortical connectivity in the newborn brain considering the effect of volume conduction. We modified time-varying partial directed coherence (tv-PDC) based on orthogonalization of the MVAR model coefficients to deal with the effect of mutual independent sources. The novel measure was then tested using a simulated signal with feature dimensions relevant to EEG activity. From the neonatal EEG responses evoked by flash light stimuli (1Hz), we extracted the directional interactions over time within each hemisphere. The results suggest that the method is able to detect directed information flow within a sub-second time scale in nonstationary multichannel signals (such as newborn EEG) and attenuate the problematic effect of volume conduction for multichannel EEG connectivity analysis.
اللغةen
الموضوعConnectivity analysis
Directed information
Directional interactions
EEG activity
Feature dimensions
Functional connectivity
Model coefficient
Multichannel EEG
Multichannel signals
Neonatal EEG
Nonstationary
Orthogonalization
Partial directed coherence
Simulated signals
Time varying
Time-frequency methods
Time-scales
Volume conduction
Data processing
Brain
العنوانOrthogonalized partial directed coherence for functional connectivity analysis of newborn EEG
النوعConference Paper
الصفحات683-691
رقم العددPART 2
رقم المجلد7664 LNCS


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