أعرض في EDS

A Comparative Study of the Robustness of Frequency-Domain Connectivity Measures to Finite Data Length

التفاصيل البيبلوغرافية
العنوان: A Comparative Study of the Robustness of Frequency-Domain Connectivity Measures to Finite Data Length
المؤلفون: Vittorio Pizzella, Alberto Sorrentino, Michele Piana, Sara Sommariva, Laura Marzetti
بيانات النشر: Springer, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Imaginary part of coherency, Computer science, Quantitative Biology - Quantitative Methods, Generalized partial directed coherence, 050105 experimental psychology, Surrogate data, 03 medical and health sciences, Random Allocation, 0302 clinical medicine, Granger causality, Statistics, False positive paradox, FOS: Mathematics, Coherence (signal processing), Humans, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Computer Simulation, Mathematics - Numerical Analysis, EEG, Quantitative Methods (q-bio.QM), Dynamic functional connectivity, Radiological and Ultrasound Technology, Computer simulation, 05 social sciences, Brain, Reproducibility of Results, Electroencephalography, Numerical Analysis (math.NA), Neurology, Autoregressive model, Frequency domain, FOS: Biological sciences, Quantitative Biology - Neurons and Cognition, Frequency-domain granger causality, Neurons and Cognition (q-bio.NC), Neurology (clinical), Anatomy, 030217 neurology & neurosurgery, Algorithms
الوصف: In this work we use numerical simulation to investigate how the temporal length of the data affects the reliability of the estimates of brain connectivity from EEG time--series. We assume that the neural sources follow a stable MultiVariate AutoRegressive model, and consider three connectivity metrics: Imaginary part of Coherency (IC), generalized Partial Directed Coherence (gPDC) and frequency--domain Granger Causality (fGC). In order to assess the statistical significance of the estimated values, we use the surrogate data test by generating phase--randomized and autoregressive surrogate data. We first consider the ideal case where we know the source time courses exactly. Here we show how, expectedly, even exact knowledge of the source time courses is not sufficient to provide reliable estimates of the connectivity when the number of samples gets small; however, while gPDC and fGC tend to provide a larger number of false positives, the IC becomes less sensitive to the presence of connectivity. Then we proceed with more realistic simulations, where the source time courses are estimated using eLORETA, and the EEG signal is affected by biological noise of increasing intensity. Using the ideal case as a reference, we show that the impact of biological noise on IC estimates is qualitatively different from the impact on gPDC and fGC.
32 pages, 13 figures
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb671c40dbf915a10bb359075286d05
https://hdl.handle.net/11567/884322
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....aeb671c40dbf915a10bb359075286d05
قاعدة البيانات: OpenAIRE
ResultId 1
Header edsair
OpenAIRE
edsair.doi.dedup.....aeb671c40dbf915a10bb359075286d05
820
3

unknown
819.664306640625
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....aeb671c40dbf915a10bb359075286d05&custid=s6537998&authtype=sso
FullText Array ( [Availability] => 0 )
Array ( [0] => Array ( [Url] => https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb671c40dbf915a10bb359075286d05# [Name] => EDS - OpenAIRE [Category] => fullText [Text] => View record in OpenAIRE [MouseOverText] => View record in OpenAIRE ) )
Items Array ( [Name] => Title [Label] => Title [Group] => Ti [Data] => A Comparative Study of the Robustness of Frequency-Domain Connectivity Measures to Finite Data Length )
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Vittorio+Pizzella%22">Vittorio Pizzella</searchLink><br /><searchLink fieldCode="AR" term="%22Alberto+Sorrentino%22">Alberto Sorrentino</searchLink><br /><searchLink fieldCode="AR" term="%22Michele+Piana%22">Michele Piana</searchLink><br /><searchLink fieldCode="AR" term="%22Sara+Sommariva%22">Sara Sommariva</searchLink><br /><searchLink fieldCode="AR" term="%22Laura+Marzetti%22">Laura Marzetti</searchLink> )
Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => Springer, 2019. )
Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2019 )
Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Imaginary+part+of+coherency%22">Imaginary part of coherency</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+Biology+-+Quantitative+Methods%22">Quantitative Biology - Quantitative Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Generalized+partial+directed+coherence%22">Generalized partial directed coherence</searchLink><br /><searchLink fieldCode="DE" term="%22050105+experimental+psychology%22">050105 experimental psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Surrogate+data%22">Surrogate data</searchLink><br /><searchLink fieldCode="DE" term="%2203+medical+and+health+sciences%22">03 medical and health sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Random+Allocation%22">Random Allocation</searchLink><br /><searchLink fieldCode="DE" term="%220302+clinical+medicine%22">0302 clinical medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Granger+causality%22">Granger causality</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22False+positive+paradox%22">False positive paradox</searchLink><br /><searchLink fieldCode="DE" term="%22FOS%3A+Mathematics%22">FOS: Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Coherence+%28signal+processing%29%22">Coherence (signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Humans%22">Humans</searchLink><br /><searchLink fieldCode="DE" term="%220501+psychology+and+cognitive+sciences%22">0501 psychology and cognitive sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Radiology%2C+Nuclear+Medicine+and+imaging%22">Radiology, Nuclear Medicine and imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Simulation%22">Computer Simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematics+-+Numerical+Analysis%22">Mathematics - Numerical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22EEG%22">EEG</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+Methods+%28q-bio%2EQM%29%22">Quantitative Methods (q-bio.QM)</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+functional+connectivity%22">Dynamic functional connectivity</searchLink><br /><searchLink fieldCode="DE" term="%22Radiological+and+Ultrasound+Technology%22">Radiological and Ultrasound Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%2205+social+sciences%22">05 social sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Reproducibility+of+Results%22">Reproducibility of Results</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+Analysis+%28math%2ENA%29%22">Numerical Analysis (math.NA)</searchLink><br /><searchLink fieldCode="DE" term="%22Neurology%22">Neurology</searchLink><br /><searchLink fieldCode="DE" term="%22Autoregressive+model%22">Autoregressive model</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+domain%22">Frequency domain</searchLink><br /><searchLink fieldCode="DE" term="%22FOS%3A+Biological+sciences%22">FOS: Biological sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+Biology+-+Neurons+and+Cognition%22">Quantitative Biology - Neurons and Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency-domain+granger+causality%22">Frequency-domain granger causality</searchLink><br /><searchLink fieldCode="DE" term="%22Neurons+and+Cognition+%28q-bio%2ENC%29%22">Neurons and Cognition (q-bio.NC)</searchLink><br /><searchLink fieldCode="DE" term="%22Neurology+%28clinical%29%22">Neurology (clinical)</searchLink><br /><searchLink fieldCode="DE" term="%22Anatomy%22">Anatomy</searchLink><br /><searchLink fieldCode="DE" term="%22030217+neurology+%26+neurosurgery%22">030217 neurology & neurosurgery</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink> )
Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => In this work we use numerical simulation to investigate how the temporal length of the data affects the reliability of the estimates of brain connectivity from EEG time--series. We assume that the neural sources follow a stable MultiVariate AutoRegressive model, and consider three connectivity metrics: Imaginary part of Coherency (IC), generalized Partial Directed Coherence (gPDC) and frequency--domain Granger Causality (fGC). In order to assess the statistical significance of the estimated values, we use the surrogate data test by generating phase--randomized and autoregressive surrogate data. We first consider the ideal case where we know the source time courses exactly. Here we show how, expectedly, even exact knowledge of the source time courses is not sufficient to provide reliable estimates of the connectivity when the number of samples gets small; however, while gPDC and fGC tend to provide a larger number of false positives, the IC becomes less sensitive to the presence of connectivity. Then we proceed with more realistic simulations, where the source time courses are estimated using eLORETA, and the EEG signal is affected by biological noise of increasing intensity. Using the ideal case as a reference, we show that the impact of biological noise on IC estimates is qualitatively different from the impact on gPDC and fGC.<br />32 pages, 13 figures )
Array ( [Name] => Language [Label] => Language [Group] => Lang [Data] => English )
Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb671c40dbf915a10bb359075286d05" linkWindow="_blank">https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeb671c40dbf915a10bb359075286d05</link><br /><link linkTarget="URL" linkTerm="https://hdl.handle.net/11567/884322" linkWindow="_blank">https://hdl.handle.net/11567/884322</link> )
Array ( [Name] => Copyright [Label] => Rights [Group] => Cpyrght [Data] => OPEN )
Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsair.doi.dedup.....aeb671c40dbf915a10bb359075286d05 )
RecordInfo Array ( [BibEntity] => Array ( [Languages] => Array ( [0] => Array ( [Text] => English ) ) [Subjects] => Array ( [0] => Array ( [SubjectFull] => Imaginary part of coherency [Type] => general ) [1] => Array ( [SubjectFull] => Computer science [Type] => general ) [2] => Array ( [SubjectFull] => Quantitative Biology - Quantitative Methods [Type] => general ) [3] => Array ( [SubjectFull] => Generalized partial directed coherence [Type] => general ) [4] => Array ( [SubjectFull] => 050105 experimental psychology [Type] => general ) [5] => Array ( [SubjectFull] => Surrogate data [Type] => general ) [6] => Array ( [SubjectFull] => 03 medical and health sciences [Type] => general ) [7] => Array ( [SubjectFull] => Random Allocation [Type] => general ) [8] => Array ( [SubjectFull] => 0302 clinical medicine [Type] => general ) [9] => Array ( [SubjectFull] => Granger causality [Type] => general ) [10] => Array ( [SubjectFull] => Statistics [Type] => general ) [11] => Array ( [SubjectFull] => False positive paradox [Type] => general ) [12] => Array ( [SubjectFull] => FOS: Mathematics [Type] => general ) [13] => Array ( [SubjectFull] => Coherence (signal processing) [Type] => general ) [14] => Array ( [SubjectFull] => Humans [Type] => general ) [15] => Array ( [SubjectFull] => 0501 psychology and cognitive sciences [Type] => general ) [16] => Array ( [SubjectFull] => Radiology, Nuclear Medicine and imaging [Type] => general ) [17] => Array ( [SubjectFull] => Computer Simulation [Type] => general ) [18] => Array ( [SubjectFull] => Mathematics - Numerical Analysis [Type] => general ) [19] => Array ( [SubjectFull] => EEG [Type] => general ) [20] => Array ( [SubjectFull] => Quantitative Methods (q-bio.QM) [Type] => general ) [21] => Array ( [SubjectFull] => Dynamic functional connectivity [Type] => general ) [22] => Array ( [SubjectFull] => Radiological and Ultrasound Technology [Type] => general ) [23] => Array ( [SubjectFull] => Computer simulation [Type] => general ) [24] => Array ( [SubjectFull] => 05 social sciences [Type] => general ) [25] => Array ( [SubjectFull] => Brain [Type] => general ) [26] => Array ( [SubjectFull] => Reproducibility of Results [Type] => general ) [27] => Array ( [SubjectFull] => Electroencephalography [Type] => general ) [28] => Array ( [SubjectFull] => Numerical Analysis (math.NA) [Type] => general ) [29] => Array ( [SubjectFull] => Neurology [Type] => general ) [30] => Array ( [SubjectFull] => Autoregressive model [Type] => general ) [31] => Array ( [SubjectFull] => Frequency domain [Type] => general ) [32] => Array ( [SubjectFull] => FOS: Biological sciences [Type] => general ) [33] => Array ( [SubjectFull] => Quantitative Biology - Neurons and Cognition [Type] => general ) [34] => Array ( [SubjectFull] => Frequency-domain granger causality [Type] => general ) [35] => Array ( [SubjectFull] => Neurons and Cognition (q-bio.NC) [Type] => general ) [36] => Array ( [SubjectFull] => Neurology (clinical) [Type] => general ) [37] => Array ( [SubjectFull] => Anatomy [Type] => general ) [38] => Array ( [SubjectFull] => 030217 neurology & neurosurgery [Type] => general ) [39] => Array ( [SubjectFull] => Algorithms [Type] => general ) ) [Titles] => Array ( [0] => Array ( [TitleFull] => A Comparative Study of the Robustness of Frequency-Domain Connectivity Measures to Finite Data Length [Type] => main ) ) ) [BibRelationships] => Array ( [HasContributorRelationships] => Array ( [0] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Vittorio Pizzella ) ) ) [1] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Alberto Sorrentino ) ) ) [2] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Michele Piana ) ) ) [3] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Sara Sommariva ) ) ) [4] => Array ( [PersonEntity] => Array ( [Name] => Array ( [NameFull] => Laura Marzetti ) ) ) ) [IsPartOfRelationships] => Array ( [0] => Array ( [BibEntity] => Array ( [Dates] => Array ( [0] => Array ( [D] => 01 [M] => 01 [Type] => published [Y] => 2019 ) ) [Identifiers] => Array ( [0] => Array ( [Type] => issn-locals [Value] => edsair ) [1] => Array ( [Type] => issn-locals [Value] => edsairFT ) ) ) ) ) ) )
IllustrationInfo